Title
An Error Model for Mapping Forest Cover and Forest Cover Change Using L-Band SAR.
Abstract
We present an error model for forest cover mapping and change detection with L-band synthetic aperture radar (SAR), which considers measurement noise, forest height, number of images available, and imaging conditions. When applied to a multiseasonal set of Advanced Land Observing Satellite Phased-Array type L-band SAR images acquired over a forest site in southern Sweden, the error model, which is...
Year
DOI
Venue
2018
10.1109/LGRS.2017.2775659
IEEE Geoscience and Remote Sensing Letters
Keywords
Field
DocType
Backscatter,Synthetic aperture radar,L-band,Scattering,Imaging,Radar imaging
Satellite,Radar imaging,Change detection,L band,Forest cover,Synthetic aperture radar,Backscatter,Remote sensing,Probability of error,Mathematics
Journal
Volume
Issue
ISSN
15
1
1545-598X
Citations 
PageRank 
References 
0
0.34
9
Authors
3
Name
Order
Citations
PageRank
Oliver Cartus1365.23
Paul Siqueira212829.52
j m kellndorfer3454.31