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Pecora 20
November 13-17, 2017
Sioux Falls, South Dakota
pecora.asprs.org

Playlist of All Plenary Sessions (YouTube)

Plenary/Opening Keynote Session

Terrestrial Observations—Finally Coming of Age

Barbara J. Ryan, Secretariat Director, Intergovernmental Group on Earth
Observations (GEO)

Ms. Ryan is the Secretariat Director of the Intergovernmental Group on Earth Observations (GEO) in Geneva, Switzerland. GEO is comprised of 104 Member States, the European Commission, and 109 international scientific and technical partner organizations. Since becoming Director of GEO in 2012, Ryan has worked to integrate Earth observation systems from around the world into a single, comprehensive system that uses coordinated data to understand how environmental factors impact human life. Prior to her work at GEO, she was the Associate Director for Geography at the USGS, where she was responsible for the agency’s remote sensing, geography and civilian mapping programmes, including the Landsat satellites. It was during this time she led the effort to change the decade-old Landsat data policy to full and open, an action resulting in more than 42 million scenes being downloaded globally to date. Ryan has served as chair of the international Committee on Earth Observation Satellites, which coordinates information from more than 100 civilian satellite missions, and in 2008, became director of the World Meteorological Organization’s space programme. Ryan has been awarded an honorary doctorate of science degree from SUNY Cortland. She was recently named an Honorary Fellow of the American Geographical Society, and in January 2017, was one of 10 global leaders to be named to the Geospatial World Forum’s Hall of Fame.

TS #1—Special Session

Landsat-derived Global Cropland Products at 30-m (LGCP30)

Moderators: Prasad Thenkabail, U.S. Geological Survey and Russell Congalton, University of New Hampshire

  • Global 30-m cropland extent map for the nominal year 2015: derived using Landsat-8 time-series data and machine learning algorithms computed on google earth engine cloud

    Prasad S. Thenakbail, US Geological Survey

  • Evaluating the Performance of Various Sampling Strategies Used to Assess the Accuracy of Large Area Crop Maps

    Russell G. Congalton, Linnea Dwyer, and Kamini Yadav, University of New Hampshire

  • An Automated Crop Intensity Algorithm (ACIA) for global cropland intensity mapping at 30-m using multi-source time-series data and Google Earth Engine

    Jun Xiong, Prasad S. Thenkabail, Pardhasaradhi Teluguntla, Adam Oliphant, Russell Congalton, Murali Krishna Gumma, Kamini Yadav, Richard Massey, Corryn Smith, US Geological Survey

  • Mapping cropland extent and areas of Australia at 30-m resolution using multi-year time-series Landsat data and Random Forest machine learning algorithm through Google Earth Engine (GEE) Cloud Computing

    Pardhasaradhi Teluguntla, Prasad S. Thenkabail, Jun Xiong, Adam Oliphant, Murali Krishna Gumma, Russell G. Congalton, Kamini Yadav, Richard Massey, Aparna Phalke, Jim Tilton, Corryn Smith, US Geological Survey

  • Mapping Croplands of Southeast Asia, Japan, and North and South Korea using Landsat 30-m time-series, random forest algorithm

    Adam Oliphant, Prasad S. Thenkabail, Pardhasaradhi Teluguntla, Russell Congalton, Kamini Yadav, Murali Krishna Gumma, Jun Xiong, Richard Massey, Corryn Smith, US Geological Survey

TS #2—Special Session

Landsat Archive, Product Plans, and Data Continuity

Moderator: Jennifer Lacey, US Geological Survey

TS #3—Panel Session

Creating a Healthy Remote Sensing Education Pipeline: Moving from K-12 to University

Moderator: Lindi Quackenbush, State University of New York, Environmental Science and Forestry

The remote sensing field is growing and changing rapidly. Deployment of novel sensors requires greater prerequisite knowledge and development of new processing methods. In order to ensure we have a well-trained workforce able to advance this field, we need to create a pipeline of students who can engage in advanced study in remote sensing. There are a wide range of activities that can be used to facilitate development of interest and skills at an early level to support advanced undergraduate or graduate study and stimulate interest in remote sensing as both art and science. This session will bring together panelists from members of the AmericaView consortium to present their experiences in a range of pipeline topics including K-12 outreach, service learning, STEM literacy, and curriculum development.

Panelists:

  • Lindi Quackenbush, State University of New York, Environmental Science and
    Forestry
  • Ken Boykin, New Mexico State University
  • James Campbell, Virginia Tech
  • Amber Imai-Hong, Hawaii Space Grant Consortium, University of Hawaii-Manoa
  • JB Sharma, University of North Georgia
  • Chandi Witharana, University of Connecticut
  • Brent Yantis, University of Louisiana-Lafayette

TS #4—Special Session

Great Lakes Remote Sensing

Moderator: Brandon Krumwiede, The Baldwin Group

  • An Overview of the Binational Great Lakes Wetlands Remote Sensing Project

    Brian Huberty, Brian Brisco, Sarah Banks, Jennifer Corcoran, Jim Klassen, Keith Pelletier, Paul Morin, Laura Chavez, Mike Battaglia, and Joe Knight, U.S. Fish & Wildlife Service

  • High resolution Optical and Radar Mapping and Monitoring of Coastal Great Lakes Wetlands to Inform Wetland Management Decisions

    Laura Bourgeau-Chavez, Michael J. Battaglia, Colin Brooks, Brian Huberty, Sarah Endres, Brian Brisco, Michigan Technological University

  • Creating high temporal frequency digital surface models in the Great Lakes Basin

    James Klassen, SharedGeo

  • Dynamic Watercourse Hydrography Updating in Minnesota’s Lake Superior Coastal Watersheds

    Tyler Kaebisch, Minnesota Department of Natural Resources

TS #5

Snow and Ice

Moderator: Gabriel Senay, US Geological Survey

  • Global Land Ice Velocity Extraction (GoLIVE) from Landsat 8 and Sentinel 2a/b

    Ted A. Scambos, Mark Fahnestock, Alex Gardner, Marin Klinger, Twila Moon, Terry Haran, National Snow and Ice Data Center, CIRES, University of Colorado at Boulder

  • Validation of Landsat 8 OLI and MODIS Aqua Greenland Ice Sheet surface reflectance using airborne spectrometry

    Christopher J. Crawford, US Geological Survey

  • Monitoring the Breakup of Sea Ice in the Beaufort Sea using Multi-Sensor Satellite-derived Time-series Data

    Tracy DeLiberty, University of Delaware

  • Global Snow Cover Trend Analysis using Cloud-based Geospatial Analysis Engine

    Xingong Li, University of Kansas

  • Hierarchical Knowledge Based Classification (HKBC) on Sentinel-2a Data for Glacier Mapping of Bhaga River Basin, Northwest Himalaya

    Aayushi Pandey, Aman Rai, Sharad Kumar Gupta, Dericks P. Shukla, School of Engineering, Indian Institute of Technology

TS #6

Deforestation and Forest Fragmentation

Moderator: Randolph Wynne, Virginia Tech

  • Implementation of a New Spectral Vegetation Index within Google Earth Engine for Automated Forest Loss Mapping

    Lloyd L. Coulter, Kellie A. Uyeda, Douglas A. Stow, San Diego State University

  • Landsat-Scale Trends of Above-Ground Biomass Across Mexico from 1984-2015

    Damien Sulla-Menashe, Alessandro Baccini, Wayne Walker, Curtis Woodcock, Chris Holden, Boston University

  • Soy moratorium impacts on soybean and deforestation dynamics in Mato Grosso, Brazil

    Jude Kastens, Chris Brown, Alex Coutinho, Chris Bishop, Júlio Esquerdo, University of Kansas

  • Mapping Long-Term Tree Cover Dynamics in Sub-Saharan Africa Using Socio-Ecological Geospatial Data

    Michael Marshall, Department of Natural Resources, University of Twente

  • Remote Sensing Time-Series Analysis of Forest Fragmentation and Connectivity in Virginia

    Iris Fynn, James B. Campbell, Virginia Tech

TS #7—Special Session

Evolution of Global Land Cover Mapping: History and New Developments

Moderator: Zhiliang Zhu, US Geological Survey

  • Reflections on the IGBP DISCover Global Land Cover Project

    Thomas Loveland, Jessyln Brown, Bradley Reed, Zhiliang Zhu, Limin Yang, Donald Ohlen, US Geological Survey

  • Landsat gone global, going global, still going…

    Alan Belward, Noel Gorelick, Jean-Francois Pekel, Andrew Cottam, Joint Research Centre, European Commission

  • A strategy for global land cover monitoring using Landsat and Sentinel 2

    Matthew C. Hansen, University of Maryland

  • A Brief and Personal History of Global Land-Cover Data: Have We Evolved from Too Little to Too Much?

    Elaine Matthews, National Aeronautics and Space Administration

  • Automated Global Land Cover Mapping From-Glc-2 and a New Mapping Portal in Support of Flexible Mapping With Landsat Data

    Peng Gong, Congcong Li, Jie Wang, Luyan Ji, Yuqi Bai, Huabing Huang, Le Yu, Duole Feng, Yuanyuan Zhao, Greg Biging, Nick Clinton, Zhiliang Zhu, US Geological Survey

TS #8—Special Session

Calibration of Satellite Imagery

Moderator: Dennis Helder, U.S. Geological Survey

  • Augmented Two Line Elements for Landsat Ephemeris Data

    Mark Lubke and Ajit Sampath, Stinger Ghaffarian Technologies, Inc.

  • Geometric Verification Algorithm (GVERIFY) to validate the accuracy of Landsat Multispectral Scanner and Thematic Mapper data

    Mark Lubke and Ajit Sampath, Stinger Ghaffarian Technologies, Inc.

  • Lifetime Temporal Validation and Absolute Calibration of the EO-1 Hyperion Sensor

    Xin Jing, South Dakota State University

  • Compact Thermal Imager Calibrator (CTIC) for Landsat-like Missions

    Mary Pagnutti, Kara Burch, Robert Ryan, Innovative Imaging & Research

  • Landsat-8 Thermal Infrared Sensor Radiometric Calibration Status

    Julia Barsi, Brian Markham, Simon Hook, John Schott, Nina Raqueno, Emmett Ientilucci, Science Systems and Applications, Inc.

  • Ground-based Artificial Light Source Radiometric Calibration of the VIIRS Day-Night Band High Gain Stage Early Results

    Robert E. Ryan, Timothy Ruggles, Kara Burch, Larry Leigh, Mary Pagnutti, Dennis Helder, Innovative Imaging & Research

TS #9—Panel Session

Training Next Generation Remote Sensing Scientists

Moderator: Rebecca Dodge, Midwestern State University

From cloud computing to no-cost Landsat data and low-cost data collected
from Unmanned Aircraft Systems, remote sensing technology is changing faster than ever before at a time when the need for a highly trained and adaptive geospatial workforce is perhaps greater than ever. In this session, StateView panelists from AmericaView, a nationwide consortium dedicated to remote sensing research, outreach, and education, will share their successes in building the remote sensing workforce of tomorrow through a network of undergraduate research opportunities. StateViews may focus research on state-specific issues important to local and regional stakeholders, such as urban expansion, coastal studies, forestry, agriculture, or grazing; international research applications are also available. Panelists will share lessons learned as well as valuable insights about recruiting, training, and mentoring undergraduate students on data processing, information extraction, and presentation skills. This will be followed by a Q&A and discussion session.

Panelists:

  • Rebecca Dodge, Midwestern State University
  • Larry Biehl, Purdue University
  • Jarlath O’Neil-Dunne, University of Vermont
  • Ramesh Sivanpillai, University of Wyoming
  • Yong Wang, East Carolina University

TS #10

Floods, Faults and Other Hazards

Moderator: Jude Kastens, University of Kansas

TS #11

Water and Air Quality

Moderator: Nima Pahlevan, National Aeronautics and Space Administration/SSAI

  • Regional Water Quality Measurements of Optically Complex Inland Waters Using New Enhanced Landsat 8 and Sentinel 2 Imagery

    Leif G. Olmanson, Patrick L. Brezonik, Marvin E. Bauer, Jacques C. Finlay, University of Minnesota

  • Landsat-Sentinel-2 for Aquatic Science: Steps Towards Transitioning from Research to Operations

    Nima Pahlevan, Sudipta Sarkar, Sandeep Chittimalli, and Sundarabalan Subramanian, National Aeronautics and Space Administration/SSAI

  • Leveraging Landsat to map lake water quality for improved public health decision making

    Nathan Torbick, Applied GeoSolutions

  • Monitoring Air Quality in Shenandoah National Park to Address National Park Service Initiatives Using NASA Earth Observations

    Ellen Bubak, Julie Terhune, Nicholas Lenfant, Douglas Gardiner, Amanda Clayton, Science Systems and Applications, Inc.

TS #12

Fire and Fuel Loads

Moderator: Birgit Peterson, US Geological Survey

  • LANDFIRE Remap: Integrating lidar for Improving Vegetation Structure Mapping

    Jordan Long, Birgit Peterson, Kurtis Nelson, US Geological Survey

  • Disturbance Mapping Improvements for LANDFIRE Remap

    Brian Tolk, Stinger Ghaffarian Technologies, Inc.

  • Near Real-Time Monitoring of Wildfire Fuel Conditions in the Great Basin/Southwest U.S.

    Kurtis Nelson, U.S. Geological Survey

  • Development of a Landsat-8 Sentinel-2 30 m Burned Area Product

    David Roy, Haiyan Huang, Luigi Boschetti, Hankui Zhang, Lin Yan, Zhongbin Li, South Dakota State University

  • Utilizing NASA Earth Observations and Google Earth Engine to map historical tree mortality in Lassen Volcanic National Park

    Anna McGarrigle, John Dilger, Joshua Verkerke, Science Systems and Applications, Inc.

Plenary Session 2

 

Opening Remarks
Becky Morton, ASPRS President

Current State of Earth Observations—Panel Discussion

Moderator: Barbara J. Ryan, Secretariat Director of the intergovernmental, Group on Earth Observations (GEO)

Michael H. Freilich, Director, Earth Science Division at NASA Headquarters

Dr. Freilich is the Director of NASA’s Earth Science Division. The purpose of NASA’s Earth science program is to develop a scientific understanding of Earth’s system and its response to natural or human-induced changes, and to improve prediction of climate, weather, and natural hazards. A major component of NASA’s Earth Science Division is a coordinated series of satellite and airborne missions for long-term global observations of the land surface, biosphere, solid Earth, atmosphere, and oceans. This coordinated approach enables an improved understanding of the Earth as an integrated system. Prior to coming to NASA, he was a Professor and Associate Dean in the College of Oceanic and Atmospheric Sciences at Oregon State University. He received BS degrees in Physics (Honors) and Chemistry from Haverford College in 1975 and a Ph.D. in Oceanography from Scripps Institution of Oceanography in 1982. Dr. Freilich’s honors include the JPL Director’s Research Achievement Award (1988), the NASA Public Service Medal (1999), and the American Meteorological Society’s Verner E. Suomi Award (2004), as well as several NASA Group Achievement awards. He was named a Fellow of the American Meteorological Society in 2004.

Harry A. Cikanek, Director (acting), STAR – Center for Satellite Applications and Research, NOAA

Mr. Cikanek is the acting Director for the United States National Oceanic and Atmospheric Administration’s Center for Satellite Applications and Research (STAR), the unit of the NOAA Satellite and Information Service responsible for transforming raw and intermediate satellite data flows from NOAA and global observing system satellites into real time weather and environmental data and information products. These feed forecast models, and operations personnel in the National Weather Service, National Ocean Service, National Marine Fisheries Service, and support research, and long term environmental information products to meet NOAA’s and its partner weather and environmental information needs to protect life, property and livelihoods. Prior to this assignment, he served just over five years as the first Director of the NOAA Joint Polar Satellite System (JPSS). His major JPSS accomplishments included stabilizing and streamlining the program to tighten its focus on the weather mission while avoiding over $2 billion in cost. He oversaw the successful transition of the Suomi National Polar Partnership (the first JPSS mission) satellite to NOAA operations and its continued successful operations in support of the NOAA weather mission. Mr. Cikanek began his career as a NASA aerospace engineer. His 30 years at NASA included engineering and program management in rocket propulsion, launch services, space transportation technology, and human exploration of space. He is the author or coauthor of over 25 papers and articles. He is also a recipient of the Presidential Rank of Meritorious Executive, the NASA Outstanding Leadership Medal, and is an Associate Fellow of the American Institute of Aeronautics and Astronautics.

William H. Werkheiser, Acting Director, USGS

Mr. Werkheiser has served in numerous positions since joining the USGS in 1986. Prior to his position as Associate Director for Water, he was the Regional Director for the former USGS Eastern Region, where he oversaw activities related to biological, geographical, geological, and hydrological research and assessments. He also led the Natural Hazards Initiative Team and the long-term Hurricane Katrina Response and Recovery Team for the USGS. He has over 25 years of experience with the USGS and other agencies working on a variety of environmental and scientific issues.

TC #13

LCMAP Special Session 1: Foundations

Moderator: Curtis Woodcock, Boston University

The U.S. Geological Survey (USGS) has a long land cover history, starting with the 1976 landmark A Land Use and Land Cover Classification System for use with Remote Sensor Data and including global land cover mapping and the ongoing production of the National Land Cover Database. While these past projects have had a significant impact, land cover data needs are changing due to the demand for increasingly innovative and timely land cover products needed to meet the community’s insatiable appetite for science-quality geospatial land cover and land change data. Recent research on the use of the unprecedented depth of the Landsat archive has resulted in the potential to generate higher quality results that include additional land cover variables, more detailed legends, and more frequent land cover and land change geospatial and statistical information. To capitalize on new capabilities, the USGS is working closely with researchers from Boston University and Texas Tech University to implement the Land Change Monitoring, Assessment, and Projection (LCMAP) initiative. LCMAP is envisioned as an end-to-end capability that uses the rich Landsat record to continuously track and characterize changes in land cover, use, and condition and translate such information into assessments of current and historical processes of cover and change. LCMAP aims to generate science-quality land cover and land change products from current and near-real time Landsat data. All available Landsat data for any given location are used to characterize land cover and change at any point across the full Landsat record and to detect and characterize land cover and land change as it occurs.

Three special sessions will: 1) lay out the foundations of LCMAP; 2) review the initial progress toward developing a new generation of land cover and land change products; and 3) examine how these new products are addressing land change applications.

  • Land Change Monitoring, Assessment, and Projection (LCMAP): expanding the understanding and management of land change

    Thomas Loveland, John Dwyer, Curtis Woodcock, US Geological Survey

  • Large area annual land cover maps derived from analysis ready Landsat time series data

    Zhe Zhu, Texas Tech University

  • Analysis Ready Data: Reconditioning the Landsat Archive to Support Time Series Investigations

    John Dwyer, Thomas Loveland and Calli Jenkerson, US Geological Survey

  • Collection of National Land Cover and Land Change Reference Data for a 30+ Year Time Series Accuracy Assessment

    Bruce Pengra, Warren B. Cohen, Todd A. Schroeder, Sean P. Healey, Stephen V. Stehman, Zhiqiang Yang, Stinger Ghaffarian Technologies, Inc.

  • Accuracy Assessment and Area Estimation for Annual Land-Cover Monitoring

    Stephen Stehman, Thomas Loveland, Bruce Pengra, State University of New York

TS #14

Landsat/Sentinel Cross-Calibration Session 1

Moderator: Brian Markham, National Aeronautics and Space Administration

  • Cross-calibration of Landsat 8 OLI and Sentinel 2 MSI and its impact on data interoperability–Workshop Results and Analysis

    Dennis Helder, US Geological Survey

  • Operational Sentinel-2A L1C and Landsat-8 Collection-1 Time-series Registration

    Lin Yan, David Roy, Haiyan Huang, Zhongbin Li, Hankui Zhang, South Dakota State University

  • Improving Landsat-8/Sentinel-2 Registration Accuracy

    James Storey, Michael Choate, Rajagopalan Rengarajan, Mark Lubke, Stinger Ghaffarian Technologies, Inc.

  • Utilization of Tandem-X Dem for Topographic Correction of Sentinel-2 Satellite Image

    Sharad Kumar Gupta and Dericks Praise Shukla, Indian Institute of Technology, Mandi

  • A small satellite piggy-back calibrator (PBR) enabling accurate absolute radiometric calibration

    Mary E. (Becky) Cudzilo, Surrey Satellite Technology US LLC

  • Uncertainty of the TOA Radiance predicted by MODTRAN-5 using Monte Carlo Simulation

    Cibele Teixeira Pinto, Ruy Morgado de Castro, Larry Leigh, and Dennis Helder, South Dakota State University

TS #15—Panel Session

Petascale High Performance Computing

Moderator: Steve Swazee, GITA Executive Director/SharedGeo

With the growth of daily commercial, higher resolution, optical and radar satellite systems to the explosion of centimeter level cameras on Unmanned Aerial Systems, the question is not can one get imagery but how can one handle it all? Petascale High Performance Computing is a major emerging technology system that has bypassed traditional remote sensing computer workstation approaches. This panel is designed to facilitate a broad discussion of where the industry is today and where it is going in the future. The panelists represent a cross section of academic, business, and government sectors.

Panelists:

  • Chris Doescher, U.S. Geological Survey
  • Lanny Faleide, Satshot.com
  • Mark Korver, Amazon Web Services
  • Paul Morin, University of Minnesota

TS #16

Landcover and Landcover Change

Moderator: Kristi Sayler, US Geological Survey

  • Unlocking Landsat’s Landscape Narratives: Landcover in the Cloud
    Robert Kennedy, Justin Braaten, Sam Hooper, Joseph Hughes, Zhiqiang Yang, and Peder Nelson, Oregon State University
  • Multi-algorithm Sequencing for Land Cover Change Monitoring
    Eric Bullock and Curtis Woodcock, Boston University
  • A Polyalgorithm for Land Cover Trend and Change Detection
    Valerie Thomas, Rishu Saxena, Layne Watson, Randolph Wynne, and Valerie Thomas, Virginia Tech

  • Time Series Global Land Surface Satellite (GLASS) products, The

    Shunlin Liang, University of Maryland

  • Mapping Smallholder Forest Plantation Dynamics in Andhra Pradesh using Multitemporal, Multiresolution Earth Resource Satellite Data

    Randolph Wynne, Valerie Thomas, Evan Brooks, Jill Derwin, Gregory Amacher, Kelly Cobourn, Haripriya Gundimeda, Matthew House, Paige Williams, Sara Cerv, James Rakestraw, and Rishu Saxena, Virginia Tech

TS #17

Bathymetry and Shoreline Mapping

Moderator: Vaughn Ihlen, U.S. Geological Survey

  • Active-Passive Data Fusion for Global, Nearshore Bathymetry Retrieval

    Nick Forfinski-Sarkozi and Christopher Parrish, Oregon State University

  • Evaluating the Potential for Near-Shore Bathymetry on the Majuro Atoll, Republic of the Marshall Islands, Using Landsat 8 and WorldView-3 imagery

    Sandra Poppenga,, US Geological Survey

  • Best Practices for Use of Remote Sensing Derived Elevation Models in Sea-Level Rise Assessments

    Dean Gesch, US Geological Survey

  • WorldDEM Ocean Shoreline Validation and Verification

    Michael Caruso, Hans Graber, Ernest Fahrland, John Collins, and John Hargrove, University of Miami

  • Structure-From-Motion Derived Historical Orthomosaics and their Applications

    Lisa Wirth, University of Alaska

TS #18

Forest Canopy Height and Structure

Moderator: Steve Covington, The Aerospace Corporation

  • Large-Area Site Index Maps Using Disparate Lidar Datasets and Landsat Data for Better Planted Pine Forest Management

    Ranjith Gopalakrishnan, Jobriath Kauffman, Valerie Thomas, and Randolph Wynne, University of Eastern Finland

  • Using Lidar to Inform Management of Minnesota’s Aspen and Red Pine Forests

    George Host, Kristina Nixon, Paul Meysembourg, William Berguson, and Daniel Buchman, University of Minnesota-Duluth

  • Land Cover Classification of the Lake of the Woods/Rainy River Basin by Object-Based Image Analysis of Landsat and Lidar Data

    Leif Olmanson and Marvin Bauer, University of Minnesota

  • Integrating Airborne Lidar and Landsat Data to Quantify Forest Aboveground Biomass Amount and Uncertainty

    Lindi Quackenbush and Siqi Li, State University of New York

  • Tree Height Estimation in Sloped Plateau Area with Dual-Polarization InSAR Techniques and Datasets

    Yong Wang and Huimin Li, East Carolina University, University of Electronic Science and Technology of China

Plenary Session 3

Opening Remarks

Frank P. Kelly, Director, U.S. Geological Survey, EROS Center

Presentation of the 2017 William T. Pecora Award

Michael H. Freilich, NASA and William H. Werkheiser, USGS

1:30 pm to 3:00 pm – Ballroom A

The William T. Pecora Award is presented annually to individuals or groups that make outstanding contributions toward understanding the Earth by means of remote sensing. The award is sponsored jointly by the Department of the Interior (DOI) and the National Aeronautics and Space Administration (NASA).

2017 Group Award

International Charter on Space and Major Disasters—For outstanding support to the global community during times of crisis. From the first Charter activation in 2000 to ongoing activations in 2017, the Charter has provided satellite imagery free of charge for disaster response purposes throughout the world. The humanitarian mission, design and implementation of the International Charter on Space and Major Disasters make it highly deserving of the William T. Pecora Team Award.

2017 Individual Award

Darrel L. Williams—For outstanding contributions toward understanding terrestrial ecosystems by means of Landsat remote sensing. Dr. Williams’ career has been dedicated to development and advancement of digital remote sensing and the Landsat program in particular, as envisioned by William Pecora and Secretary Udall a half-century ago. In stature and achievements, he lives in the true spirit of the USGS/NASA Pecora award and deserves the recognition that this award is intended to honor.

Perspectives on Progress and Challenges in Remote Sensing—Panel Discussion

Moderator: Stan Morain (Pecora Award 2007), Research Professor/Emeritus Professor, University of New Mexico

For over 40 years, Dr. Morain carved a distinguished career in remote sensing recognized locally, nationally, and internationally. His contributions focused on educating his students and developing professional ties to research communities in many developing countries on the applications of remote sensing in several societal benefit areas, but primarily in agriculture, transportation, and public health. In pursuit of his vision, he worked with many research teams and governments in Latin America, Asia, and Africa. In the early 1970s, with the advent of Landsat, he was among the first to use satellite imagery for crop and vegetation analyses. In 1973, his interests were re-directed toward developing countries wishing to adopt Landsat technology for natural resources management.

Stan has served the remote sensing community through his involvement in the American Society for Photogrammetry and Remote Sensing (ASPRS) and the International Society for Photogrammetry and Remote Sensing (ISPRS). He is an ASPRS Honorary Member and an elected ASPRS Fellow, past editor of PE&RS, and past president of ASPRS. In ISPRS he is a past president of Commission I (Platforms, Sensors, and Imagery), served as a council member and treasurer, and as technical secretary in Commission VIII, Working Group 2 (health). He also was active in the International Council for Science (ICSU), and the intergovernmental Group on Earth Observations/ User Interface Committee (GEO/UIC). He is an elected Fellow in the Geology/Geography Section of the American Association for the Advancement of Science (AAAS).

Panelist—Pecora Award Winners

Samuel N. Goward (2008)

Dr. Goward pursues biophysical applications of land remotely sensed data. He has been actively involved in the land observation missions since the 1970s, specifically focused on Landsat and AVHRR. His recent research has focused on evaluating North American forest disturbance and regrowth from the historical Landsat observation record for the North American Carbon Program (NACP). He currently is serving as a member of the NACP science steering group. He served as the Landsat Science Team Leader for Landsat 7 and continues as a member of the Landsat Science Team today. In addition, he served as

the Co-Chair for the USGS National Land Satellite Land Remote Sensing Data Archive (NLSLRSDA) advisory committee. In recognition of his long-standing commitment to land observations and the Landsat mission, Dr. Goward has received the USGS John Wesley Powell award, the USGS/NASA William T. Pecora award and the ASPRS SAIC Estes Teaching award. He continues to serve as an associate editor for Remote Sensing of Environment.

 

Curtis E. Woodcock (2016)

Dr. Woodcock has held academic positions at the University of California, the City University of New York and Boston University. His primary research interests are: the use of remote sensing to monitor land change, including topics of time series analysis, cloud/cloud shadow detection, and validation of time series results; terrestrial carbon dynamics; the causes and consequences of land cover and land use change. Dr. Woodcock was the 2016 William T. Pecora Award winner for “outstanding contributions toward understanding the Earth by means of remote sensing.” He was the co-team leader for the Landsat Science Team.

 

Darrel L. Williams (2017)

Dr. Williams joined Global Science and Technology as their Chief Scientist in February 2010 upon retiring from a distinguished 35-year career in NASA. At NASA, he conducted remote sensing research to develop enhanced techniques for assessing terrestrial ecosystems worldwide. Over time he assumed science management positions of increasing responsibility, including international field campaign manager, Branch Head, Landsat Project Scientist, and Laboratory Associate and Acting Chief. He worked with and mentored several EOS-era Project Scientists (Terra, Aqua, ICESat, NMP Earth Observer-1, Landsat Data Continuity Mission, etc.), and received NASA medals for Outstanding Leadership (1997) and Exceptional Service (2000). In 1999 Williams received the “Aviation Week and Space Technology 1999 Laurels Award” for outstanding achievement in the field of Space in recognition of his science leadership role for the Landsat 7 mission. In 2006, he received an “Outstanding Alumni Award” from the School of Forest Resources at the Pennsylvania State University where he received his B.S. and M.S. degrees in Forest Science in 1973 and 1974, respectively. Williams attained his Ph.D. in Physical Geography from the University of Maryland in 1989.

TS #19

LCMAP Special Session 2: Initial Results

Moderator: Virginia Burkett, U.S. Geological Survey

The U.S. Geological Survey (USGS) has a long land cover history, starting with the 1976 landmark A Land Use and Land Cover Classification System for use with Remote Sensor Data and including global land cover mapping and the ongoing production of the National Land Cover Database. While these past projects have had a significant impact, land cover data needs are changing due to the demand for increasingly innovative and timely land cover products needed to meet the community’s insatiable appetite for science-quality geospatial land cover and land change data. Recent research on the use of the unprecedented depth of the Landsat archive has resulted in the potential to generate higher quality results that include additional land cover variables, more detailed legends, and more frequent land cover and land change geospatial and statistical information. To capitalize on new capabilities, the USGS is working closely with researchers from Boston University and Texas Tech University to implement the Land Change Monitoring, Assessment, and Projection (LCMAP) initiative. LCMAP is envisioned as an end-to-end capability that uses the rich Landsat record to continuously track and characterize changes in land cover, use, and condition and translate such information into assessments of current and historical processes of cover and change. LCMAP aims to generate science-quality land cover and land change products from current and near-real time Landsat data. All available Landsat data for any given location are used to characterize land cover and change at any point across the full Landsat record and to detect and characterize land cover and land change as it occurs.

Three special sessions will: 1) lay out the foundations of LCMAP; 2) review the initial progress toward developing a new generation of land cover and land change products; and 3) examine how these new products are addressing land change applications.

  • A New Generation of U.S. Land-Cover Products

    Christopher Barber, Alisa Gallant, George Xian, Qiang Zhou, and Bruce Pengra, ASRC Federal Inuteq

  • A New Generation of U.S. Land Change Products

    Jim Vogelmann, US Geological Survey

  • Deconstructing Developed and Forested Areas in the Chesapeake Bay Watershed

    Peter Claggett, US Geological Survey

  • Comparing Land Cover Trends Project’s Normalized Annual Change and LCMAP’s Annual Change in the Puget Lowland Ecoregion

    Roger Auch, Kristi Sayler, Stephen Stehman, Bruce Pengra, and Janis Taylor, US Geological Survey

TS #20

Landsat/Sentinel Cross-Calibration Session 2

Moderator: Jim Storey, Stinger Ghaffarian Technologies, Inc.

  • Refined Absolute PICS Calibration Model Over Libya-4 using Sentinel2A and Landsat 8 Collection-1 data for Validation

  • Morakot Kaewmanee and Dennis Helder, South Dakota State University

  • SMACAA Atmospheric Code for BRDF Retrieval and APICS First Principles Methodology as Applied Imaging Satellite Sensor Calibration

    Larry Leigh and Leah Ervin, South Dakota State University

  • Large Area Saharan PICS Development for Calibration and Stability Monitoring of Optical Satellite Sensors

    Mahesh Shrestha, Larry Leigh, Dennis Helder, and Thomas Loveland, South Dakota State University

  • Endmember-Based Aerosol Inversion Technique for the Atmospheric Correction of Landsat OLI

    Minsu Kim, Stinger Ghaffarian Technologies, Inc.

  • Landsat 8 Operational Land Imager: Relative Gain Estimation Using Unbiased Global Earth Imaging

    Obaidul Haque, Julia Barsi, Dennis Helder, and Esad Micijevic, Stinger Ghaffarian Technologies, Inc.

  • Landsat-8 OLI On-Orbit Radiometric Performance and Landsat-9 OLI-2 Radiometric Performance Predictions

    “Brian Markham, Julia Barsi, Ron Morfitt, Ed Kaita, Md Obaidul Haque, Lawrence Ong, Phil
    Dabney, Jeffrey Pedelty, Raviv Levy, and Esad Micijevic”, National Aeronautics and Space Administration

TS #21

Agriculture and Drought

Moderator: Rick Mueller, US Department of Agriculture

  • Estimating Excess Moisture Conditions with Earth Observation Data

    Catherine Champagne, Agriculture and Agri-Food Canada

  • Vigor and Evapotranspiration of Soybean Grown Under Different Management Systems Monitored by Landsat

    Anita Simic, Bowling Green State University

  • Validation of Operational Cloud and Cloud Shadow Detection Algorithms for Landsat Data

    Pat Scaramuzza, Stinger Ghaffarian Technologies, Inc.

  • Investigating Patterns of Drought Influence on Land Use and Land Cover in the Great Plains with Landsat Time Series Data

    Heather Tollerud, Jesslyn Brown and Thomas Loveland, US Geological Survey

TS #22

Landcover Classification Algorithms

Moderator: David Roy, South Dakota State University

  • Using the 500 m MODIS Land Cover Product to Derive a Consistent North America 30 m Landsat Land Cover Classification and Implications for Global 30 m Land Cover Mapping

    Hankui Zhang and David Roy, South Dakota State University

  • The Rapid Land Cover Mapper: A Useful Alternative for High Resolution and Small Scale Land Study

    Ross Evelsizer, Darrell Napton, and Suzanne Cotillon, Northeast Iowa Resource Conservation & Development

  • Reusing Low-Accuracy and Variable-Accuracy Land-Cover Maps for Automatic Forest/Non-Forest Classification

    Peter Kennedy and Craig Coburn, University of Lethbridge

  • A Hybrid Approach to Realistically Downscaling Land Use Patterns

    Evan B Brooks, John W. Coulston, Kurt H Riitters, and David N Wear, Virginia Polytechnic Institute and State University

  • Estimating and Mapping Individual Pixel Accuracy for Classified Remote Sensing Images

    Giorgos Mountrakis, Reza Khatami, and Steve Stehman, State University of New York

TS # 23

Evapotranspiration for Water Management

Moderator: Martha Anderson, U.S. Department of Agriculture

  • A Review of Remote Sensing of Evapotranspiration Models for Agricultural Water Resources Management

    Hatim Geli, Christopher Neale and James Verdin, New Mexico State University

  • Analysis of Satellite-Based Water Use Dynamics Using Historical Landsat Data (1984-2014) in the Southwestern United States

    Gabriel Senay, Matthew Schauer, MacKenzie Friedrichs, Naga Manohar Velpuri, and Ramesh Singh, US Geological Survey

  • An Intercomparison of Evapotranspiration Estimates Derived Using Thermal-Based Satellite Remote Sensing for Irrigation Management in California Vineyards

    “Kyle Knipper, William Kustas, Martha Anderson, Joseph Alfieri, John Prueger, Feng Gao, Lynn
    McKee, Lawrence Hipps, and Maria Mar Alsina”, US Department of Agriculture

  • Investigating Impacts of Drought and Disturbance on a Forested Landscape in North Carolina, USA using High Spatiotemporal Resolution Evapotranspiration Datacubes

    Yun Yang, Martha Anderson, Feng Gao, Christopher Hain, William Kustas, Asko Noormets, Ge Sun, Randolph Wynne, and Valerie Thomas, US Department of Agriculture

  • Open Source Tool to Estimate Regional and Field-Scale ET For Decision Makers, An

    Mitchell Schull, Chris Hain, Martha Anderson, Xiwu Zhan, and Christopher Neale, University of Maryland

TS #24

Forest Mapping and Insect Damage

Moderator: Robert Kennedy, Oregon State University

  • Using Landsat Time Series to Improve Mapping of Forest Composition and Condition in the Northeastern United States

    Valerie Pasquarella, University of Massachusetts-Amherst

  • Using Landsat to Assess the Extent and Severity of Forest Defoliation from Gypsy Moth Larvae in Eastern Connecticut Forests

    James Hurd, Chandi Witharana, Daniel Civco, and Jason Parent, University of Connecticut

  • A Multi-Index Landsat-Derived Model for Spruce Budworm Defoliation Detection and Quantification: Examples of Past and Current Outbreaks (1970s and 2000s)

    Parinaz Rahimzadeh, Aaron Weiskittel, Daniel Kneeshaw, and David MacLean, University of Maine

  • Wavelet-Based Multisensor Data Fusion Aided by Temporal Analysis

    Sherin Ghannam, A. Lynn Abbott, Mohamed Hussein, Randolph Wynne, Valerie Thomas, and James Campbell, Virginia Tech

  • Analyzing and Mapping Landscape Disturbance Across Glacier National Park Using a Landsat Time Series

    Antonio Alvarado, Ryan Avery, Charlotte Mays, Suzannah Richards, Zachary Wardle, Joseph Harris, Sunita Yadav-Pauletti, Jordan Lubbers, and Jemiris Gonzalez-de Jesus, Science Systems and Applications, Inc

Plenary Session 4

Opening Remarks

Frank P. Kelly, Director, US Geological Survey, EROS Center

Trends in Big Data Analytics and Progress in Using Earth Observations—Panel Discussion

Moderator: Kass Green, Kass Green and Associates

Michael S. Warren, Co-founder and CTO, Descartes Labs
Dr. Mike Warren is the Co-founder and CTO of Descartes Labs. His past work spans a wide range of disciplines, with the recurring theme of developing and applying advanced software and computing technology to understand the physical and virtual world. He was a scientist at Los Alamos National Laboratory for 25 years, and also worked as a Senior Software Engineer at Sandpiper Networks/Digital Island. His work has been recognized on multiple occasions, including the Gordon Bell prize for outstanding achievement in high-performance computing. He has degrees in Physics and Engineering & Applied Science from Caltech, and he received a Ph.D. in Physics from University of California, Santa Barbara.

Joe Mascaro, Director of Academic Programs, Planet
Dr. Joe Mascaro is a tropical ecologist and Director of Academic Programs at Planet, a San Francisco-based aerospace company that operates the largest fleet of Earth-imaging satellites. Joe works with universities and individual investigators to utilize Planet’s unprecedented imaging resources to enhance primary research and education, improve forest monitoring and conservation, expand food security, and promote ecological resilience for some of the world’s most vulnerable communities.

Adam Lewis, Geoscience Australia
Dr. Adam Lewis began his career as a Forester in Victoria. He played a lead role in Victoria’s first Geographic Information Systems and in new GIS-based approaches to forest and land planning. On completing his PhD at the ANU, Adam went on to develop the first depth & elevation model of the Great Barrier Reef and its catchments in 1998. In the early 2000’s his work with the Great Barrier Reef Marine Park Authority provided the essential information base to support re-zoning of the GBR Marine Park. That project won 2004 the Banksia Environmental Award for Government Leading by Example. Adam now leads Geoscience Australia’s National Earth and Marine Observation Branch, including the Australian Geoscience Data Cube, which was recognized in the Geospatial World Leadership Awards in 2016. The Data Cube is internationally recognized for transforming the analysis of Earth Observation datasets, and is delivering unique new information on Australia’s land, water, and coasts.

Anne Hale Miglarese, Founder and CEO, Radiant.Earth
Ms. Anne Hale Miglarese is the founding CEO of Radiant.Earth, a non-profit organization working to aggregate the world’s open Earth imagery and providing access and education on its use to the global development community. Prior to launching Radiant.Earth, Anne served as President and CEO of Fugro Earth Data, as President and CEO of PlanetiQ and a Principal Director at Booz Allen Hamilton. Anne has also worked for the National Oceanic and Atmospheric Administration, the SC Water Resources Commission and the SC Department of Natural Resources. Anne was the founding chairperson of the National Geospatial Advisory Committee and served on the Federal Geographic Data Committee Marine and Coastal Data Subcommittee for 6 years.

Peter Becker – Product Manager for Imagery, Esri
Peter Becker is Product Manager for Imagery at Esri and focuses on the integration of imagery into the ArcGIS Platform. What started off as a proof of concept to dynamically serve the Landsat GLS dataset in 2002 became the foundation of the ArcGIS Image Server technology. After working as Technical Manager for MAPS geosystem an aerial survey and mapping company in the Middle East and Germany, Peter joined Esri in 2005 and has been instrumental in the development of Esri’s imagery capabilities for the access, processing and analysis of a wide range of imagery and raster data.

TS #25

LCMAP Special Session 3: Time Series Research and Development

Moderator: James Vogelmann, U.S. Geological Survey

The U.S. Geological Survey (USGS) has a long land cover history, starting with the 1976 landmark A Land Use and Land Cover Classification System for use with Remote Sensor Data and including global land cover mapping and the ongoing production of the National Land Cover Database. While these past projects have had a significant impact, land cover data needs are changing due to the demand for increasingly innovative and timely land cover products needed to meet the community’s insatiable appetite for science-quality geospatial land cover and land change data. Recent research on the use of the unprecedented depth of the Landsat archive has resulted in the potential to generate higher quality results that include additional land cover variables, more detailed legends, and more frequent land cover and land change geospatial and statistical information. To capitalize on new capabilities, the USGS is working closely with researchers from Boston University and Texas Tech University to implement the Land Change Monitoring, Assessment, and Projection (LCMAP) initiative. LCMAP is envisioned as an end-to-end capability that uses the rich Landsat record to continuously track and characterize changes in land cover, use, and condition and translate such information into assessments of current and historical processes of cover and change. LCMAP aims to generate science-quality land cover and land change products from current and near-real time Landsat data. All available Landsat data for any given location are used to characterize land cover and change at any point across the full Landsat record and to detect and characterize land cover and land change as it occurs.

Three special sessions will: 1) lay out the foundations of LCMAP; 2) review the initial progress toward developing a new generation of land cover and land change products; and 3) examine how these new products are addressing land change applications.

  • Exploring the Landsat Archive Using Time Series Analysis

    Curtis Woodcock, Boston University

  • Using a 30-year Landsat Time Series of Arctic and Boreal North America to Investigate Climate Change Impacts on Disturbance, Phenology, and Productivity

    Damien Sulla-Menashe, Curtis Woodcock, Chris Holden, and Mark Friedl, Boston University

  • Impact of Climate Variability on Landsat Time Series and Implications for Change Monitoring

    Chris Holden and Curtis Woodcock, Boston University

  • Monitoring Tropical Forest Degradation Using Time Series Analysis of Landsat Data

    Eric Bullock and Curtis Woodcock, Boston University

  • Using Time Series and Statistical Inference Methods to Estimate Unbiased Land Cover Change Areas in the Colombian Amazon

    Paulo Arevalo, Curtis Woodcock and Pontus Olofsson, Boston University

TS #26

Imaging Datasets

Moderator: Peter Doucette, U.S. Geological Survey

  • Joint Agency Commercial Imagery Evaluation (JACIE)

    Greg Stensaas, US Geological Survey

  • An Update on Spaceborne Remote Sensing

    Jon Christopherson, Stinger Ghaffarian Technologies, Inc.

  • Bridging Civilian and National Security Agencies: Update on the Civil Applications Committee

    Paul Young, US Geological Survey

  • NAIP Orthophotography for Land Cover Mapping Tasks: A Review with Recommendations

    Aaron Maxwell and Tim Warner, West Virginia University

  • Global Fiducials Imagery: New Opportunities for Advancing the Use of Remote Sensing to Understand Our Changing Earth

    Bruce Molnia, US Geological Survey

TS #27

Cropland Mapping and Yield Estimation

Moderator: David Johnson, U.S. Department of Agriculture

  • Regional Estimation of Crop Yields from Satellite Imagery: The State of the Science, The State of the Industry

    David Johnson, US Department of Agriculture

  • Updated Methods for Retro Processing: Reprocessing the 2008 Cropland Data Layer

    Avery Sandborn, Patrick Willis, Richard Hardin, Robert Seffrin, and Lee Ebinger, US Department of Agriculture

  • Fusing Sentinel-1 with Harmonized Landsat Sentinel-2 for Crop Mapping

    Nathan Torbick, Applied GeoSolutions

  • A Unique Global Hyperspectral-Imaging Spectral Library of Agricultural crops (GHISA) to Study Globally Dominant Crops

    Itiya Aneece, Prasad Thenkabail, Terry Slonecker, and Alfredo Huete, US Geological Survey

  • CropRef: Reference Datasets and Techniques to Improve Global Cropland Mapping”Jun Xiong, Prasad Thenkabail, Russell Congalton, Kamini Yadav, Pardhasaradhi Teluguntla,
    Adam Oliphant, Murali Krishna Gumma, Richard Massey, and Corryn Smith”, US Geological Survey

TS #28

National-scale Data Coordinated Within the Multi-Resolution Land Characteristics Consortium (MRLC) – Special Session

Moderator: Jonathan Smith, US Geological Survey

  • The National Land Cover Database, Delivering Land Cover Change Data for the Nation Since 2001: History, Status and Future Plans

    Collin Homer, US Geological Survey

  • NOAA’s Focus on the Coasts: Bringing High Resolution Land Cover Mapping to the Multi-Resolution Land Characteristics Consortium

    Nate Herold, NOAA Office for Coastal Management

  • 10 Years of Annual National Land Cover Products – the Cropland Data Layer

    Rick Mueller, U.S. Department of Agriculture

  • The NLCD Tree Canopy Cover Data Product

    Greg Liknes, US Forest Service

  • LANDFIRE Remap – Developing a New Baseline Product Suite

    Birgit Peterson, US Geological Survey

TS #29

Urban and High Resolution Land Cover Mapping

Moderator: Kevin Gallo, National Oceanic and Atmospheric Administration

  • Characterizations of Urban Land Cover by NLCD and Other Global Mapping Efforts

    George Xian, US Geological Survey

  • Urban Land Cover and Impervious Surface Changes in the Great Plains Between 2001 and 2011

    Kevin Gallo and George Xian, National Oceanic and Atmospheric Administration

  • Rapid Estimation of Tree Diversity Using Satellite Remote Sensing Within the Urban Environment

    Abel Ramoelo, Moses A. Cho, Sabelo Madonsela, and Sibusisiwe Makhanya, Council for Scientific and Industrial Research

  • Evaluation of Landsat-Based Change Detection Methods using Ultra-High Resolution Land Cover Datasets

    Michael Norton, Chesapeake Conservancy

  • Comparison Of Different Similarity Measures for Selection of Optimal, Information-Centric Bands of Hyperspectral Images

    Munmun Baisantry and Dericks P. Shukla, Indian Institute of Technology Mandi

Plenary Session 5

Presentation of the Pecora Symposium Student Competition Poster Awards

Amy Budge, University of New Mexico-EDAC

1:30 pm to 1:45 pm—Ballroom A

The Pecora Symposium Student Competition Award is a “one-time” award funded and presented by the New Mexico Geographic Information Council (NMGIC), Inc. The purpose of the award is to encourage students to pursue careers in the geospatial sciences and to develop research and applications of these technologies. The Student Competition Award is bestowed upon students who present outstanding papers and posters at the Pecora symposium. The Award consists of two individual categories (posters and papers) that are evaluated and judged separately. Three monetary awards will be made in each category: First place ($300); Second place ($150); and Third place ($75). Winning papers and posters will be posted on the NMGIC, Pecora, and ASPRS websites.

To qualify for consideration of the Award student(s) must be enrolled at an accredited institution of higher education chartered to award higher degrees and must be the principal author(s) of the paper or poster. If more than one student authors the paper or poster, one of the student authors also must be the presenter of the paper or poster at the Pecora Symposium. Each nominee must verify their eligibility and willingness to participate in the Student Competition Award.

Criteria for evaluating the papers and posters are:

  • Relevance of the topic and content of the paper/poster to advancements in research or applications of any of the following: remote sensing, image processing, data processing/modeling, GIS and related technologies.
  • Quality of the presentation, including: Is the presentation clear, concise, and to the point? Are the illustrations/graphics easy to read? For posters – Is the layout of material easy to follow and understand?

WINNERS

Papers

First Place

Using Time Series and Statistical Inference Methods to Estimate Unbiased Land Cover Change Areas in the Colombian Amazon

Paulo Arevalo, Curtis Woodcock and Pontus Olofsson, Boston University

Second Place

Monitoring Tropical Forest Degradation Using Time Series Analysis of Landsat Data

Eric Bullock and Curtis Woodcock, Boston University

Third Place

Shadow Removal in High Resolution Remote Sensing Images Using Local Inpainting Strategy

Samara Calcado de Azevedo, São Paulo State University (UNESP)

Slides

Posters

First Place

Estimating Percent Tree Canopy Cover Using Landsat Time-Series

Jill Derwin, Valerie Thomas, Randolph Wynne, Evan B. Brooks, Christine E. Blinn, Greg Liknes, John Coulston, Mark Finco, Kevin Megown, Gretchen Moisen, Chris Toney, Robert Benton, K. Schelleweis, and Bonnie Ruefenacht, Virginia Tech

Second Place

Detecting Land Change Using Land Surface Phenology Modeling: An Application to the Dynamic Northern Great Plains

Lan H. Nguyen, Geoffrey M. Henebry, Geospatial Sciences Center of Excellence, South Dakota State University

Third Place

Assessing Three Satellite-derived Burned Area Products and Combining with Medium Resolution Data for Characterizing Peatland Fires

Yenni Vetrita, Mark A. Cochrane, Suwarsono Suwarsono, Any Zubaidah, and Erianto I. Putra, South Dakota State University

 

New Breakthroughs in Earth Observations and Applications— Panel Discussion

Moderator: Thomas R. Loveland, USGS

1:45 pm to 3:00 pm—Ballroom A

The future of land remote sensing and the continuation of Pecora’s vision. Perspectives from panelist on their views on big data, data integration, monitoring, assessment, and projection. Special emphasis on the next generation of land remote sensing with prominent early-career remote sensing scientists and applications specialists giving their vision for the future.

Panelists

Valerie J. Pasquarella, Postdoctoral Fellow, Northeast Climate Science Center

Dr. Valerie Pasquarella works at the intersection of remote sensing and ecology, using time series of satellite imagery to improve mapping and monitoring of landscape dynamics. She is currently a Postdoctoral Research Associate with the DOI Northeast Climate Science Center and the Department of Environmental Conservation at the University of Massachusetts Amherst. Having lived and worked in Southern New England for over a decade, Dr. Pasquarella actively collaborates with a number of local research groups and land management agencies, and her research has strong regional ties. Ongoing projects include using Landsat time series to improve forest composition mapping and near-real-time monitoring of gypsy moth defoliation. She is also interested in time series approaches to mapping early successional habitat and invasive plant distributions, with a long-term goal of utilizing all available Landsat observations to advance understanding of multi-scale multi-species interactions over large spatial extents.

Justin L. Huntington, Associate Research Professor, Desert Research Institute

Dr. Justin Huntington is an Associate Research Professor at the Desert Research Institute and Western Regional Climate Center in Reno, Nevada. Justin received his Ph.D. in Hydrology from the University of Nevada – Reno in 2011. His research interests are focused on land surface energy balance measurement and modeling, surface and groundwater interactions, drought, and remote sensing. He is a member of the 2012-2017 Landsat Science Team, and serves on Nevada Governor Brian Sandoval’s drought commission.

John A. Gamon, Professor, University of Nebraska-Lincoln

Dr. John Gamon studies the “breathing of the planet” – the exchanges of carbon and water vapour between the biosphere and the atmosphere that affect ecosystem productivity and help regulate our atmosphere and climate. Of particular interest are the effects of disturbance (fires, succession, weather events and climate change) on these basic processes. Additional research questions involve the detection of plant physiology, ecosystem function, species composition, and biodiversity using non-contact sampling methods. Much of this work is done with optical monitoring (remote sensing and automated field methods), and entails the development of new monitoring methods and related informatics tools.

David J. Lary – Professor and Founding Director of the Center for Multi-scale Intelligent Integrated Interactive Sensing Center for Space Science, University of Texas at Dallas

Current Uses of Machine Learning (presentation)

Prof. David Lary received a First Class Double Honors B.Sc. in Physics and Chemistry from King’s College London (1987) with the Sambrooke Exhibition Prize in Natural Science, and a Ph.D. in Photochemical Computer Modeling of Atmospheric Chemistry from the University of Cambridge, Churchill College (1991). The thread running through all the research is physics in service of society through the use of data driven insights using observation and automation to facilitate discovery, with a focus in the area of human health and the health of infrastructure. A key part of this is the analysis of massive data sets (Big Data) using machine learning and high performance computing, and IoT devices for smart decision-making. In 2001 David was invited to join NASA for his work on data assimilation as the first distinguished Goddard fellow in Earth Science and stayed at NASA till 2010, receiving six NASA awards for his research and technology development. While at NASA he worked in several offices including the Data Assimilation Office (now the Global Modeling and Assimilation Office), the Atmospheric Chemistry and Dynamics Branch, the Science Integration and Visualization Office, and the NASA Goddard Earth Sciences Data and Information Services Center. In 2010 David joined the Hanson Center for Space Science at the University of Texas at Dallas where he has focused on Big Data and Machine Learning from remote sensing in service of society using satellites, smart cities, the internet of things, remote control aerial vehicles and machine learning. He is about to deploy a network of airborne allergen sensors across Chattanooga, TN, for a smart city asthma and allergy early warning system.

 

TS #30

Forest Change – Disturbance/Recovery

Moderator: Kurtis Nelson, U.S. Geological Survey

  • A Landsat Spectral Ensemble for Forest Disturbance Mapping

    Warren Cohen, US Forest Service

  • Examining the Relationship Between Landsat Spectral Recovery and Volume Growth on Harvested Sites in the Southeastern United States

    Todd Schroeder, US Forest Service

  • Edyn: Dynamic Signaling of Subtle yet Persistent Changes to Forests

    Evan Brooks, Zhiqiang Yang, Valerie Thomas, and Randolph Wynne, Virginia Polytechnic Institute and State University

  • Integrating Site- and Non-Site Specific Accuracy Assessments
    Approaches for Validating Land Change Maps

    Mark Nelson, US Forest Service

  • 44-Year Time Series of Forest Structure in Northwestern Montana Using the Entire Landsat Archive Length from MSS to OLI (M2O), A

    Rick Lawrence and Shannon Savage, Montana State University

TS #31

Preparing Data for Scientific Analysis and Advancing Access

Moderator: Tom Maiersperger, US Geological Survey

  • AppEEARS: Providing Easy Access, Extraction, and Fusion of Analysis Ready Data from Multiple Big Earth Science Data Records

    William (Cory) Alden, Cole Krehbiel, Tom Maiersperger, Lindsey Harriman, Aaron Friesz, Rob Quenzer, Kevin Impecoven, Aafaque Aafaque, and Chris Doescher, Innovate, Inc.

  • Making Remote Sensing Data “Just Work” Using Standards-based Web Services

    Aaron Friesz, Innovate, Inc.

  • Open Data Cube Architecture for Water Management and Land Change Assessment, An

    Brian Killough, National Aeronautics and Space Administration

  • Validation of MinNDTI Method for Remote Sensing of Crop Residue and Tillage Practices Using Multi-Temporal Landsat 8 and Sentinel-2 Imagery

    Michael Graham, James Campbell, Baojuan Zheng, Craig Daughtry, Yang Shao, and Megan O’Rourke, Virginia Tech

TS #32

Phenology

Moderator: Jesslyn Brown, U.S. Geological Survey

  • Assessment of Vegetation Greenness Trends (1989 – 2016) and the Responses to Climatic Variability in the Conterminous Unites States

    Lei Ji and Jesslyn Brown, ASRC InuTeq

  • Influence of Extreme Weather on Land Surface Phenology in the United States in Last Three Decades

    Lingling Liu and Xiaoyang Zhang, South Dakota State University

  • Impacts of Wildfires on Land Surface Phenology of Western US Forests

    Jianmin Wang and Xiaoyang Zhang, South Dakota State University

  • What Can Phenometric Lapse Rates Tell Us About Change in Highland Pastures?

    Geoffrey Henebry, Monika Tomaszewska, and Kamilya Kelgenbaeva, South Dakota State University

  • Impacts of Interannual Variation in Data Quality from AVHRR, MODIS and VIIRS Time Series on Land Surface Phenology Detection
    Xiaoyang Zhang, South Dakota State University

  • Inter-Comparison of MODIS and VIIRS Vegetation Indices Using One-Year Global Data

    Tomoaki Miura, University of Hawaii-Manoa

TS #33—Special Session

National Land Cover Database: Past, Present and Future

Moderator: Collin Homer, U.S. Geological Survey

This session will overview the design, products and status for NLCD 2016 and future programmatic plans for NLCD. NLCD 2016 products include land cover and urban imperviousness re-mapped for 2001-2016, tree canopy produced for 2011- 2016, and new 2016 products of percent shrub, bare ground and herbaceousness. NLCD 2016 is expected to be more accurate and comprehensive than any previous NLCD release, and will offer users an unprecedented set of land cover and land cover change products designed to continue, expand and advance NLCD applications.

  • NLCD 2016 Past and Present Product Comparison

    Jon Dewitz and Suming Jin, US Geological Survey

  • NLCD 2016 Landcover Design

    Suming Jin, Limin Yang, Patrick Danielson, Jon Dewitz, Collin Homer, and George Xian, ASRC InuTeq

  • NLCD 2016 Imperviousness Product

    Jon Dewitz and Michelle Funk, US Geological Survey

  • NLCD 2016 Shrub and Grass Products

    Collin Homer, US Geological Survey

  • NLCD Future Plans

    George Xian and Collin Homer, US Geological Survey

TS #34

Wetlands and Surface Water Bodies

Moderator: Sandra Poppenga, US Geological Survey

  • Annual Maps of Water-Related Land Cover Types (Open Surface Water Body, Natural Wetlands, and Paddy Rice) Through Analyses of Landsat Images in Google Earth Engine

    Xiangming Xiao, Zhenhua Zou, Geli Zhang, Jinwei Dong, and Bangqian Chen, University of Oklahoma

  • Tracking Pluvial-Related Expansion and Contraction of Water Bodies in the South Dakota Prairie Pothole Region Using the Landsat Record with an Object-Based Image Analysis Approach

    Nathan Roberts and Douglas Miller, Penn State University

  • Characterizing Wetland Landscapes with Landsat Dense Time Series Data

    Jennifer Rover, Alisa Gallant, and Qiang Zhou, US Geological Survey

  • Utilizing NASA Earth Observations to Model Past and Present Distributions of Invasive Species in Alaskan Wetlands

    Timothy Mayer, Emma Hatcher, Sarah Carroll, Audrey Martinez, and Brian Woodward, Science Systems and Applications, Inc.

TS #35

Mapping for Management and Species Dynamics

Moderator: John Faundeen, U.S. Geological Survey

  • Identification of Moderate Intensity Forest Management in the Southeastern U.S. with Multitemporal Landsat

    Valerie Thomas, Randolph Wynne, Evan Brooks, Quinn Thomas, Louise Chini, R. Bin Mei, and David Wear, Virginia Tech

  • Using Google Earth Engine and Landsat Time Series to Model National Forest Inventory Variables

    Ty Wilson, US Forest Service

  • Mapping and Quantifying Biodiversity and Ecosystem Services Related to Terrestrial Vertebrates: A National Approach

    Kenneth Boykin, William Kepner, Anne Neale, and Kevin Gergely, New Mexico State University

  • Mangrove Mapping and Monitoring Using Earth Observation Satellite Data

    Zhiliang Zhu and Chandra Giri, US Geological Survey

  • Using Unmanned Aerial Systems to Evaluate Shrub Community Characteristics in a Semi-Arid Landscape

    R. Douglas Ramsey and Christopher McGinty, Utah State University

Posters

Advancing the Use of Remote Sensing to Understand Our Changing Earth

  • WorldView-3 SWIR Landuse-Landcover Mineral Classification: Cuprite, Nevada

    K. E. Johnson, K. Koperski, DigitalGlobe, Inc.

  • Google Earth Engine for eigenspace spectral and temporal transforms of Landsat 8 and Sentinel-2 data sets

    Lance D. Yarbrough, Greg Easson, Eleanor Dietz, The University of Mississippi

  • Validation of the Operational SNPP VIIRS GVF Product using High Resolution Google Earth images

    Zhangyan Jiang, IMSG at NOAA/NESDIS/STAR

  • Development of a Semi-automated Process to Map Agriculture in the Upper Rio Grande Basin During the 2015 Growing Season using Spectral Grouping Large file (206MB)

    Victoria G. Stengel and Diana E. Pedraza , US Geological Survey

  • Evaluation of SMAP at Forested Sites Across a Rainfall Gradient in Northern Minnesota

    Greg Liknes and William Sea, Bemidji State University

  • Requirements, Capabilities and Analysis for Earth Observations (RCA-EO)

    Greg Stensaas, US Geological Survey

  • Snow Cover Seasonality, Trends, and Change Analysis for Kyrgyzstan using MODIS: 2000-2016

    Monika A. Tomaszewska, Kamilya Kelgenbaeva and Geoffrey M. Henebry, South Dakota State University

  • Landfast Ice Detection of the Southern Coast of the Alaskan Seward Peninsula, 1997-2017

    David Jensen, Virginia Tech

AmericaView

  • Update on the Iowa Best Management Practice Inventory, Applications and Associated Datasets

    Robin McNeely, IowaView – Iowa State University

  • Modeling the Effects of Environmental Change on Crucial Wildlife Habitat

    Eric Ariel L. Salas, Virginia A. Seamster, Kenneth G. Boykin, Nicole M. Harings, Keith W. Dixon, New MexicoView/New Mexico State University

  • Using Remote Sensing Data to Improve Geographic Assessments of UV-B Radiation and its Climatology from a Sparse Ground Monitoring Network

    Michael Coughenour, “UV-B Monitoring and Research Program, Colorado State University

  • Aligning earth observation technologies with next generation science standards

    Chandi Witharana, James Hurd, Department of Natural Resources and the Environment, ConnecticutView, University of Connecticut

  • South Dakota LiDAR Factsheet

    Mary O’Neill, South Dakota State University/AmericaView

  • RealEarth: Visualize Your Data

    Sam Batzli, WisconsinView

  • New Methods for Integrating Remote Sensing Imagery and Modeled Inundation Libraries for Rapid Flood Mapping

    Kevin Dobbs, AmericaView/KansasView

  • Mapathon- A Volunteer Geographic Information Mapping for Humanitarian Relief

    Pia van Benthem, University of California-Davis

  • Integration of Landsat-8 and high-resolution imagery, and LiDAR to improve mapping of water bodies at regional scales

    Haluk Cetin, Murray State University

  • Incorporating Remote Sensing into K-12 Project-Based Science Curricula

    Michael J. Battaglia, Nancy H.F. French, Michigan Tech Research Institute

  • Working with Time-series Landsat Big Data: A Workflow and Experiences with Open Source Software

    Jeong Seong, University of West Georgia

  • Mapping and monitoring shelterbelt dynamics in the Red River of the North Valley using NAIP and LiDAR data

    Bradley Rundquist, Morgen Burke, Earl Klug, University of North Dakota

  • Multispectral and Texture Feature Application in Mapping Summer Vegetation for Marco Polo Argali in Eastern Tajikistan Pamirs

    Eric Ariel L. Salas, Kenneth Boykin, Raul Valdez, New Mexico State University

Applications of Remote Sensing for Improving Decision-making

  • Unsupervised Classification of Earth Surface for Landslide Detection

    Caitlin Tran, Jessica Fayne, Omar Mora, California State Polytechnic University-Pomona

  • All quiet on the northern front: Remote sensing based retrospection of human wellbeing in the armed-conflicted areas of Sri Lanka

    Chandi Witharana, University of Connecticut

  • Utilizing Sentinel-2 satellite imagery for precision agriculture over potato fields in Lebanon

    Hanan K. Abou Ali, Donna M. Delparte, L. Michael Griffel, Idaho State University

    Poster

  • Applied remote sensing as a means to assess brush control in western rangelands

    Chandra Holifield Collins, Susan Skirvin, Mark Kautz, Loretta Metz, USDA-ARS Southwest Watershed Research Center

  • Global SSEBop Evapotranspiration for Drought Monitoring Purposes

    Stefanie Kagone, Stinger Ghaffarian Technologies, Inc.

  • Expedited Start of Growing Season Estimates Assist Rapid Prediction of Invasive Cheatgrass in the Great Basin

    Bruce B. Worstell, Stephen P. Boyte, Danny Howard, Jesslyn F. Brown, Bruce K. Wylie, Devendra Dahal, Stinger Ghaffarian Technologies, Inc.

  • Applying Object-based Image Analysis to the Search for World War II Era Unexploded Bombs Using High-Resolution Multi-temporal and Multi-source Data

    Cynthia A. Miller, Bryan P. Byholm, Anna K. Brand, and Fei Yuan

  • Genetic Algorithm Based Stereo Image Correspondence Using Multi-objective Fitness Function For Remotely Sensed Images

    Manimala Mahato, Shirish S. Gedam, Jyoti Joglekar, B. Krishna Mohan, Indian Institute of Technology178_Poster.pdf

    Poster

  • Assessing Sustainable Urban Rooftop Designs through the usage of Small Unmanned Aerial Systems and Satellite Imagery: A case study in Auburn, Alabama

    Chandana Mitra, Austin Bush, Seth Greer, Auburn University

  • Building Capacity to Use NASA Earth Observations through the NASA DEVELOP Program

    Lauren Childs-Gleason, National Aeronautics and Space Administration

  • The Study of Forest Cover Change in Puerto Rico since 1970s using Satellite Imagery

    Fei Yuan;, Jose Javier Lopez, Sabrina Arnold, Anna Brand, Jonas Klein, Maureen Schmidt, Erin Moseman, Madeline Michels-Boyce, Minnesota State University-Mankato

  • Selection of Ratings & weightages for preparation of Landslide Susceptibility Zonation (LSZ)

    Sharad Kumar Gupta, Dericks Praise Shukla, Indian Institute of Technology, Mandi

Assimilation of Earth Observations into Land Surface Dynamic Models General Circulation Models and other Earth System Models

  • Development of Global Gridded Vegetation Products From S-NPP VIIRS for NCEP Environmental Modeling Systems

    Jingfeng Huang, Mingshi Chen, Zhangyan Jiang, Min Li, Tomoaki Miura, Marco Vargas, Ivan Csiszar, IMSG at NOAA/NESDIS/STAR

Challenges and Innovations in Big Data Analysis for Solving Complex Largescale Problems

  • Tutorials and Services for Working with Multiple Land Remote Sensing Data Products

    Cole Krehbiel, Aaron Friesz, Tom Maiersperger, Lindsey Harriman, William (Cory) Alden, Chris Doescher, Innovatel, Inc.

  • Using Google Earth Engine to Map Water Use and Availability

    Mac Friedrichs, Stinger Ghaffarian Technologies, Inc.

  • Big Data, Small Farms: Lessons Learned from Integrating Data Science Approaches with Remote Sensing of Smallholder and Urban Agriculture

    Jessica L. McCarty, Christoper S.R. Neigh, Mark L. Carroll, Margaret R. Wooten, Molly E. Brown, Glenn M. Sullivan, Rahel Diro, Daniel E. Osgood, Markus Enenkel, Bristol F. Powell, Miami University

Emerging Roles for Smallsats and Airborne Systems in Operational Monitoring

  • Multiuser Perspectives on Experimental UAS Flight Operations

    Timmera Whaley, Dr. Jason Tullis, University of Arkansas

  • From Satellite to Drones to Products

    Lucia Lovison-Golog, SAT-DRONES LLC

Landsat and Sentinel-2: Comparisons Cross-calibrations and Synergies

  • Monitoring chlorophyll-a of the Western Basin of Lake Erie with Sentinel-2A and Landsat 8 imagery

    Anita Simic Milas, Bowling Green State University

  • Assessing Three Satellite-derived Burned Area Products and Combining with Medium Resolution Data for Characterizing Peatland Fires

    Yenni Vetrita, Mark A. Cochrane, Suwarsono Suwarsono, Any Zubaidah, and Erianto I. Putra, South Dakota State University

  • Global analysis of Landsat-8, Sentinel-2A and Sentinel-2B temporal revisit intervals

    Jian Li, South Dakota State University

  • Downscaling Landsat-8 30 m data to Sentinel-2 20 m resolution

    Zhongbin Li, Geospatial Sciences Center of Excellence, South Dakota State University

New initiatives for Monitoring and Projecting Land and Water Cover Use and Change

  • Identifying Forest Conversion Hotspots in the Commonwealth of Virginia Through the Use of Landsat and Known Change Indicators.

    Matthew N. House, Randolph H. Wynne, Virginia Tech

  • Assessing Land Cover Change During Drought Period in a Coastal Area of Binh Thuan province, Vietnam Using High Resolution Imagery

    Hoa Tran, James B. Campbell, Randolph H. Wynne, Virginia Tech

  • Developing unbiased global ET dataset using an automated bias correction approach

    Naga Manohar Velpuri, Gabriel Senay, Stefanie Kagone, MacKenzie Friedrichs, ASRC InuTeq

  • Gross primary productivity and seasonal distribution and of alpine wetlands from 2001 to 2016 in the Gunnison River Basin, CO

    Sami Chen, Kate Maher, Stanford University

  • Land Surface Phenologies and Seasonalities of Croplands and Grasslands in the Prairie Pothole Region Using Passive Microwave Data 2003-2015

    Woubet G. Alemu and Geoffrey M. Henebry, South Dakota State University

  • The Land Product Characterization System: A Tool for Comparative Analysis of Satellite Data and Products

    Kevin Gallo, National Oceanic and Atmospheric Administration

  • Methods for Converting Continuous Shrubland Ecosystem Component Values to Thematic National Land Cover Database Classes

    Leila Gass, Matthew Rigge, Collin Homer, and George Xian, US Geological Survey

  • Estimating Percent Tree Canopy Cover Using Landsat Time-Series

    Jill Derwin, Valerie Thomas, Randolph Wynne, Evan B. Brooks, Christine E. Blinn, Greg Liknes, John Coulston, Mark Finco, Kevin Megown, Gretchen Moisen, Chris Toney, Robert Benton, K. Schelleweis, and Bonnie Ruefenacht, Virginia Tech

  • Changes in land use and consumptive water use in Central California

    Martha Anderson, Kyle Knipper, Wayne Dulaney, Joe Alfieri, Bill Kustas, Yun Yang, Dennis Baldocchi, Feng Gao, Chris Hain, U.S. Department of Agriculture

  • Mapping Evapotranspiration for historical (1984-2015) water use and availability in the Upper Rio Grande River Basin using the Landsat Archive

    Matthew Schauer, Innovate!, Inc.

  • 2016 Tree Canopy Cover for the National Land Cover Database: Production Data, Methods, Uses, and a Tour through American Landscapes

    Stacie Bender, Wendy Goetz, Mark Finco, Bonnie Ruefenacht, Greg Liknes, Kevin Megown, US Forest Service

  • Detecting Land Change Using Land Surface Phenology Modeling: An Application to the Dynamic Northern Great Plains

    Lan H. Nguyen, Geoffrey M. Henebry, Geospatial Sciences Center of Excellence, South Dakota State University

  • A Road Network Extraction Methodology Applied in Remote Sensing Images of Low and Median Spatial Resolution

    Guilherme Pina Cardim, UNESP

    Poster