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PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING
January 2014
3
PHOTOGRAMME TR I C ENG I NE ER I NG & REMOT E SENS I NG
The official journal for imaging and geospatial information science and technology
January 2014 Volume 80 Number 1
H I GHL I GHT ART I C L E
Zhong Lu and Lei Zhang
F EATURE ART I C L E
Frank P Kelly, PhD and Thomas M. Holm
PE ER - REV I EWED ART I C L ES
William L. Marks
,
John S. Iiames
,
Ross S. Lunetta
,
Siamak Khorram
, and
Thomas H
.
Mace
Full polarimetric L-band data using NASA Jet Propulsion Laboratory’s (JPL’s)
Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) was acquired in North
Carolina to assess performance associated with the high resolution HH, VV, and HV
channels to characterize the BA and AGB of mature loblolly pine (Pinus taeda) stands.
Xin Wang, Linlin Ge, Xiaojing, Li, and Stephen Gherardi
The first attempt to analyze, at both the temporal and spatial domains, pasture
properties in Western Australia, using ENVISAT ASAR (C-band) and ALOS PALSAR
(L-band) data at dual polarization.
Jason M. Stoker, Mark A. Cochrane, and David P. Roy
Over 350 billion lidar points from across the US were processed to height above ground
and compared to NLCD and ecoregion maps to determine if heights were statistically
different between classes.
Xueliang Zhang, Pengfeng Xiao, and Xuezhi Feng
A fast hierarchical approach with adaptive edge penalty to high-resolution remote
sensing image segmentation.
Zhuoting Wu, Prasad S Thenkabail, and James P Verdin
A rule-based automated cropland classification algorithm (ACCA) for the State of
California, using multi-sensor remote sensing data, to routinely, accurately, and rapidly
produce cropland extent and areas year after year.
Huadong Guo, Huaining Yang, Zhongchang Sun, Winwu Li, and Cuizhen Wang
The synergistic use of SPOT5 optical imagery and RADARSAT-2 full PolSAR data to
improve the accuracy of impervious surface estimation using C5.0 decision tree algorithm.
COLUMNS
ANNOUNCEMENTS
DEPARTMENTS
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