Autonomous Coastal Land Cover Assessment Using Polarimetric Decomposition of SAR Data [PDF]
, 2011 The paper reports an experiment on classification using fully polarimetric SAR data. Many reports have been presented mentioning test sites in temperate regions utilizing polarimetric SAR data from airborne and/or spaceborne SAR ...
Trisasongko, B. H. (Bambang)
core +1 more source
Could Vegetation Index be Derive from Synthetic Aperture Radar? - The Linear Relationship between Interferometric Coherence and NDVI. [PDF]
Sci Rep, 2020 Bai Z +7 more
europepmc +1 more source
Integration of L-band SAR data into Land Surface Models [PDF]
, 2007 —Land surface process modelling might be limited due to lack of reliable model input data. Key surface variables as land cover information or soil moisture conditions have been proven to be observable by remote sensing systems.
Davison, Malcolm +3 more
core
Forest structure dependency analysis of L-band SAR backscatter. [PDF]
PeerJ, 2020 Ji Y, Huang J, Ju Y, Guo S, Yue C.
europepmc +1 more source
Forest Clearing in the Pantropics: December 2005–August 2011- Working Paper 283 [PDF]
This report summarizes recent trends in large-scale tropical forest clearing identified by FORMA (Forest Monitoring for Action). Our analysis includes 27 countries that accounted for 94 percent of clearing during the period 2000–2005.
David Wheeler, Robin Kraft, Dan Hammer
core
The BIOMASS mission — An ESA Earth Explorer candidate to measure the BIOMASS of the earth's forests [PDF]
, 2010 Arcioni, M. +13 more
core +2 more sources
PALSAR 50 m mosaic data based national level biomass estimation in Cambodia for implementation of REDD+ mechanism. [PDF]
PLoS One, 2013 Avtar R, Suzuki R, Takeuchi W, Sawada H.
europepmc +1 more source
Interferometric Phase Improvement Based on Polarimetric Data Fusion. [PDF]
Sensors (Basel), 2008 Xiong T, Yang J, Zhang W.
europepmc +1 more source
KummerU clutter model for PolSAR data: Application to segmentation and classification
, 2010 International audienceIn this paper, Spherically Invariant Random Vectors (SIRV) are introduced to describe the heterogeneity of the Polarimetric Synthetic Aperture Radar (PolSAR) clutter.
Bombrun, Lionel +4 more
core +1 more source
Advances in Interferometric Synthetic Aperture Radar Technology and Systems and Recent Advances in Chinese SAR Missions. [PDF]
Sensors (Basel)Zhang Q, Fan H, Qin Y, Zhou Y.
europepmc +1 more source