Advancing Forest Structure Retrieval through Multi-Frequency PolInSAR and TomoSAR: Leveraging ESA’s P-Band Biomass and NASA–ISRO NISAR Missions [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesAccurate estimation of forest structural parameters, particularly canopy height and aboveground biomass (AGB), is essential for carbon accounting, biodiversity conservation, and climate change mitigation under frameworks such as the UNFCCC and REDD ...
S. Kumar
doaj +1 more source
Polarimetric Approaches for Persistent Scatterers Interferometry [PDF]
, 2014 In previous works, a general framework to exploit polarimetric diversity to optimize the results of persistent scatterers interferometry (PSI) was presented, but tested only with dual-pol data.
Ferro-Famil, Laurent +2 more
core +4 more sources
Scattering‐Based Model of the SAR Signatures of Complex Targets for Classification Applications
International Journal of Navigation and Observation, Volume 2008, Issue 1, 2008., 2008 The modeling of complex target response in SAR imagery is the main subject of this paper. The analysis of a large database of SAR images with polarimetric and interferometric capabilities is used to accurately establish how the different structural parts of targets interact with the incident signal.
Gerard Margarit +2 more
wiley +1 more source
Spatial Adaptive Speckle Filtering Driven by Temporal Polarimetric Statistics and Its Application to PSI [PDF]
, 2014 Persistent scatterer (PS) interferometry (PSI) techniques are designed to measure ground deformations using satellite synthetic aperture radar (SAR) data.
Lopez-Sanchez, Juan M. +1 more
core +2 more sources
Improvement of Forest Height Retrieval By Integration of Dual-Baseline PolInSAR Data And External DEM Data [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 In recent years, a lot of studies have shown that polarimetric synthetic aperture radar interferometry (PolInSAR) is a powerful technique for forest height mapping and monitoring. However, few researches address the problem of terrain slope effect, which
Q. Xie, C. Wang, J. Zhu, H. Fu, C. Wang
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018 This paper investigates the benefits of integrating multibaseline polarimetric interferometric SAR (PolInSAR) data with LiDAR measurements using a machine-learning approach in order to obtain improved forest canopy height estimates.
Maryam Pourshamsi +3 more
doaj +1 more source
Remote Sensing, 2021 Forest canopy height is a basic metric characterizing forest growth and carbon sink capacity. Based on full-polarized Advanced Land Observing Satellite/Phased Array type L-band Synthetic Aperture Radar (ALOS/PALSAR) data, this study used Polarimetric ...
Wei Chen +4 more
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The Performance of Airborne C-Band PolInSAR Data on Forest Growth Stage Types Classification
Remote Sensing, 2017 In this paper, we propose a classification scheme for forest growth stage types and other cover types using a support vector machine (SVM) based on the Polarimetric SAR Interferometric (PolInSAR) data acquired by Chinese Multidimensional Space Joint ...
Qi Feng +5 more
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Spaceborne Polarimetric SAR Interferometry: Performance Analysis and Mission Concepts [PDF]
, 2005 Spaceborne polarimetric SAR interferometry enables quantitative measurements of important bio- and geophysical parameters of the Earth surface on a global scale.
Cloude, Shane +5 more
core
Regression-Based Retrieval of Boreal Forest Biomass in Sloping Terrain using P-band SAR Backscatter Intensity Data [PDF]
, 2013 A new biomass retrieval model for boreal forest using polarimetric P-band synthetic aperture radar (SAR) backscatter is presented. The model is based on two main SAR quantities: the HV backscatter and the HH/VV backscatter ratio.
Sandberg, Gustaf +2 more
core +1 more source