Results 31 to 40 of about 113 (84)
Frontiers in Forests and Global Change, 2022 Canopy height is a critical parameter in quantifying the vertical structure of forests. Polarimetric SAR Interferometry (PolInSAR) is a radar remote sensing technique that makes use of polarimetric separation of scattering phase centers obtained from ...
Suchithra Raveendrakumar +4 more
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Model-Based Biomass Estimation of a Hemi-Boreal Forest from Multitemporal TanDEM-X Acquisitions
Remote Sensing, 2013 Above-ground forest biomass is a significant variable in the terrestrial carbon budget, but is still estimated with relatively large uncertainty. Remote sensing methods can improve the characterization of the spatial distribution and estimation accuracy ...
Maciej J. Soja +4 more
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Remote Sensing, 2018 This paper proposes a new method for forest height estimation using single-baseline single frequency polarimetric synthetic aperture radar interferometry (PolInSAR) data.
Tayebe Managhebi +2 more
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Remote Sensing, 2021 Vegetation height estimation plays a pivotal role in forest mapping, which significantly promotes the study of environment and climate. This paper develops a general forest structure model for vegetation height estimation using polarimetric ...
Cheng Xing +5 more
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Remote SensingPrevious studies on single-polarized InSAR-based sub-canopy topography inversion have mainly relied on simplified or empirical models that only consider the volume scattering process. In a boreal forest area, the canopy layer is often discontinuous.
Huiqiang Wang +3 more
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Improved Three-stage Algorithm of Forest Height Retrieval with PolInSAR
Leida xuebao, 2014 Employing Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) data to inverse forest parameters is a hot topic in the research field of PolInSAR. The typical forest parameter inversion algorithm is the three-stage inversion algorithm based on
Xu Li-ying +3 more
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Forest Height Estimation Based on P-Band Pol-InSAR Modeling and Multi-Baseline Inversion
Remote Sensing, 2020 The Gaussian vertical backscatter (GVB) model has a pivotal role in describing the forest vertical structure more accurately, which is reflected by P-band polarimetric interferometric synthetic aperture radar (Pol-InSAR) with strong penetrability.
Xiaofan Sun +4 more
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A Method to Select Coherence Window Size for forest height estimation using PolInSAR Data [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 Estimating the height of trees is one of the most important applications of polarimetrc interferometric synthetic aperture Radar (PolInSAR). PolInSAR requires an appropriate estimation of the interferogram coherence for obtaining the best results ...
Sh. Sharifi Hashjin +2 more
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A HYBRID METHOD IN VEGETATION HEIGHT ESTIMATION USING POLINSAR IMAGES OF CAMPAIGN BIOSAR [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Recently, there have been plenty of researches on the retrieval of forest height by PolInSAR data. This paper aims at the evaluation of a hybrid method in vegetation height estimation based on L-band multi-polarized air-borne SAR images.
S. Dehnavi, Y. Maghsoudi
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Remote Sensing, 2022 Forest density affects the inversion of forest height by influencing the penetration and attenuation of synthetic aperture radar (SAR) signals. Traditional forest height inversion methods often fail in low-density forest areas.
Ao Sui +3 more
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