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The role of remote sensing in process-scaling studies of managed forest ecosystems
Sustaining forest resources requires a better understanding of forest ecosystem processes,
and how management decisions and climate change may affect these processes in the …
and how management decisions and climate change may affect these processes in the …
[HTML][HTML] Deep point cloud regression for above-ground forest biomass estimation from airborne LiDAR
Quantifying forest biomass stocks and their dynamics is important for implementing effective
climate change mitigation measures by aiding local forest management, studying processes …
climate change mitigation measures by aiding local forest management, studying processes …
[HTML][HTML] The global forest/non-forest map from TanDEM-X interferometric SAR data
In this paper we present the activities performed at the Microwaves and Radar Institute of the
German Aerospace Center (DLR) to derive global forest/non-forest classification mosaics …
German Aerospace Center (DLR) to derive global forest/non-forest classification mosaics …
Forest biomass estimation over three distinct forest types using TanDEM-X InSAR data and simulated GEDI lidar data
Abstract The Global Ecosystem Dynamic Investigation (GEDI) mission has been successfully
launched to the International Space Station (ISS) on December 5th, 2018. While the …
launched to the International Space Station (ISS) on December 5th, 2018. While the …
[HTML][HTML] Estimation of tree height and aboveground biomass of coniferous forests in North China using stereo ZY-3, multispectral Sentinel-2, and DEM data
Y Wang, X Zhang, Z Guo - Ecological Indicators, 2021 - Elsevier
The forest tree height and aboveground biomass (AGB) are important indicators for
monitoring changes and trends in forest carbon storage and terrestrial carbon fluxes …
monitoring changes and trends in forest carbon storage and terrestrial carbon fluxes …
Improved forest height estimation by fusion of simulated GEDI Lidar data and TanDEM-X InSAR data
Abstract Interferometric Synthetic Aperture Radar (InSAR) and lidar are increasingly used
active remote sensing techniques for forest structure observation. The TanDEM-X (TDX) …
active remote sensing techniques for forest structure observation. The TanDEM-X (TDX) …
[HTML][HTML] Interferometric SAR coherence models for characterization of hemiboreal forests using TanDEM-X data
In this study, four models describing the interferometric coherence of the forest vegetation
layer are proposed and compared with the TanDEM-X data. Our focus is on develo** tools …
layer are proposed and compared with the TanDEM-X data. Our focus is on develo** tools …
[HTML][HTML] Research pathways of forest above-ground biomass estimation based on SAR backscatter and interferometric SAR observations
M Santoro, O Cartus - Remote Sensing, 2018 - mdpi.com
Estimation of forest biomass with synthetic aperture radar (SAR) and interferometric SAR
(InSAR) observables has been surveyed in 186 peer-reviewed papers to identify major …
(InSAR) observables has been surveyed in 186 peer-reviewed papers to identify major …
Automated estimation of forest height and underlying topography over a Brazilian tropical forest with single-baseline single-polarization TanDEM-X SAR interferometry
Y Lei, R Treuhaft, F Gonçalves - Remote Sensing of Environment, 2021 - Elsevier
Forest height is an important variable for modeling terrestrial carbon storage and global
carbon cycle dynamics. Spaceborne SAR Interferometry (InSAR) has the sensitivity to …
carbon cycle dynamics. Spaceborne SAR Interferometry (InSAR) has the sensitivity to …
Deep learning based 3D point cloud regression for estimating forest biomass
Knowledge of forest biomass stocks and their development is important for implementing
effective climate change mitigation measures. Remote sensing using airborne LiDAR can be …
effective climate change mitigation measures. Remote sensing using airborne LiDAR can be …