PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
January 2018
1
Datums – How Important Are They?
This workshop will provide participants with an overview of current horizontal
and vertical datums as they apply to lidar, photogrammetric and other mapping
data. The workshop will also highlight new datums targeted for release in 2022,
which are expected to vary by approximately 1 meter. Participants will learn to
use national systems to validate their data against current datums and to pre-
pare for the transition to new datums coming online in the future.
Quality Assurance of Lidar Point Clouds for Floodplain Modeling
his workshop will provide participants with a background on methods used by
the Southwest Florida Water Management District (SWFWMD) for the quality
assurance of lidar point clouds and supplemental breaklines. Specifically, the
workshop reviews the NSSDA (National Standards for Spatial Data Accuracy)
and the ASPRS (American Society of Photogrammetry and Remote Sensing)
methodology as it is applied by SWFWMD, including specialized automated and
semi-automated procedures for lidar QC.
Practical Approach to Applying ASPRS Positional Accuracy Stan-
dards to Digital Geospatial Data
This workshop provides an in-depth look at the ASPRS Positional Accuracy Stan-
dards, the only standards available today that categorize positional accuracy of
products derived from digital aerial cameras, manned and unmanned aerial sys-
tems, and all types of lidar including terrestrial, mobile, and airborne. The work-
shop will explain the basis for each accuracy measure adopted in the standards.
Instructors will demonstrate practical application of these standards and attend-
ees will experience applying these standards to real-world examples.
Total Propagated Uncertainty (TPU) of Lidar Data
Overall accuracy of lidar data is most often represented by RMSEz for an entire
dataset, which may not adequately describe localized uncertainties critical to
proper decision making. Point-by-point uncertainty, as expressed by Total Prop-
agated Uncertainty (TPU), affects the accuracy of volumetric estimations and
other 3D analyses. This workshop will focus on raising the awareness of TPU
in the lidar community as a valuable potential alternative to current standard
practices of accuracy assessment.
Rapid Imagery Analysis with GBDX Notebooks
This workshop will introduce participants to DigitalGlobe’s Geospatial Big Data
Platform (GBDX) Notebooks, where they can have immediate access to anal-
ysis-ready imagery within a developer-friendly Python environment. Users will
learn how to discover DigitalGlobe imagery, prototype an algorithm, visualize
output, and deploy an algorithm at scale - all from a simple, browser-based
coding environment. Requirement: Laptop
Preparation for ASPRS Certification—Lidar
This workshop provides an in-depth review of content contained in the ASPRS
Airborne Topographic Lidar Manual. It is valuable for those planning to take the
examination for ASPRS Certified Mapping Scientist-Lidar, Certified Technolo-
gist-Lidar, or Intern. Workshop participants will answer practice questions and
discuss answers in an interactive session. The workshop is also valuable for
practitioners wishing to further their mastery of the material contained in this
ASPRS publication.
Preparation for ASPRS Certification—General Knowledge
This workshop covers the common knowledge areas comprising 2/3 of exam
content for ASPRS Certification. It is valuable preparation for those who have
never taken an ASPRS exam, as well as for those who have expertise in a
particular specialty, such as lidar or UAS, but feel less prepared for the gen-
eral knowledge component of the exam. This workshop will also explain the
certification application process and the importance of certification in career
development.
ASPRS 2018 ANNUAL CONFERENCE WORKSHOPS AT ILMF
Aerial Triangulation and Data Processing for the Unmanned Aerial
System (UAS)
This workshop teaches participants to successfully design, plan and execute
an aerial mission using unmanned aerial systems (UAS) and GPS-based ae-
rial triangulation, including flight planning, ground control placement, camera
calibration, and product generation. Participants will be introduced to mathe-
matical basis of simultaneous bundle block adjustment. Practical examples will
be presented.
Hyperspectral and Extended Multispectral Remote Sensing: Phe-
nomenology, Sensor Systems, and Data Processing
This workshop introduces the phenomenology of hyperspectral and extended
multispectral remote sensing with an emphasis on physics of radiometry and
spectrometry. Absorption of Earth surface materials and the role of the atmo-
sphere in modulating the observed signal will be discussed. Data processing
methods based on the mapping of spectral features and the utilization of spec-
tral shape will be discussed, including spectral feature fitting, spectral matching
approaches, and spectral mixture analysis.
Field Data Collection Techniques for the Development of Accurate
Remote Sensing Ground-Truth
This workshop guides the participant through a review of data collection and
methodologies, including ocular estimates, transect sampling and point sam-
pling. Techniques used to develop estimates of canopy cover, foliar cover, clo-
sure, trees per acre, quadratic mean diameter, average crown diameter, canopy
structure, species composition, and estimation of categorical estimates will be
addressed with consideration of potential biases and costs. Examples from re-
cent GRS projects in northern California and Alaska will be presented.
Generic Sensor Model for Optical Line Scanners and Framers
The Community Sensor Model (CSM) API has recently shifted from many sen-
sor-specific models to a few generic models by class/family. The generic mod-
el is supported by new metadata standards for upstream data providers. This
workshop will explain the six “Common Sensor” (CS) Tagged Record Exten-
sions (TREs) or Data Extension Segments (DESs) that will soon become part of
the National Imagery Transmission Format (NITF), facilitating generalization of
all EO/IR sensor models regardless of design,
Object-Based Image Analysis for Natural Resource Management
This workshop will demonstrate the use of Object Based Image Analysis (OBIA)
in classifyinghigh-resolution (sub-decimeter) unmanned aerial system imagery
using machine-learning algorithms. OBIA is widely used in urban/urban-rural
feature extraction using rule-based models. For natural scenes (e.g. wetlands),
aggregating the spectral information of the objects and facilitating textural and
contextual information can have many advantages. An example of classifying
wetland areas for natural resource management and invasive plant detection
will be illustrated. Requirement: Laptop
Unmanned Airborne Lidar for Precision Mapping
Professional grade lidar systems are currently being used onboard unmanned
aerial systems for high precision mapping applications. This workshop is in-
tended for the unmanned airborne lidar user community including mapping pro-
fessionals, land surveyors, managers, and decision makers to understand the
underlying concepts of lidar from the technical and business perspective, in the
form of theory and practice, using real data sets from around the world.
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