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Remote sensing approaches for monitoring mangrove species, structure, and biomass: Opportunities and challenges
The mangrove ecosystem plays a vital role in the global carbon cycle, by reducing
greenhouse gas emissions and mitigating the impacts of climate change. However …
greenhouse gas emissions and mitigating the impacts of climate change. However …
A review of remote sensing applications for oil palm studies
Oil palm becomes an increasingly important source of vegetable oil for its production
exceeds soybean, sunflower, and rapeseed. The growth of the oil palm industry causes …
exceeds soybean, sunflower, and rapeseed. The growth of the oil palm industry causes …
State of the climate in 2015
J Blunden, DS Arndt - Bulletin of the American Meteorological …, 2016 - journals.ametsoc.org
STATE OF THE CLIMATE IN 2015 Page 1 Special Supplement to the Bulletin of the American
Meteorological Society Vol. 97, No. 8, August 2016 STATE OF THE CLIMATE IN 2015 Page 2 …
Meteorological Society Vol. 97, No. 8, August 2016 STATE OF THE CLIMATE IN 2015 Page 2 …
Combining Tandem-X InSAR and simulated GEDI lidar observations for forest structure map**
Abstract NASA's Global Ecosystem Dynamics Investigation (GEDI), to be deployed on the
International Space Station (ISS) in 2018, will provide billions of measurements of ground …
International Space Station (ISS) in 2018, will provide billions of measurements of ground …
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) …
Aboveground biomass estimates of tropical mangrove forest using Sentinel-1 SAR coherence data-The superiority of deep learning over a semi-empirical model
The availability of advanced Machine Learning algorithms has made the estimation process
of biophysical parameters more efficient. However, the efficiency of those methods seldom …
of biophysical parameters more efficient. However, the efficiency of those methods seldom …
[HTML][HTML] Map** above-ground biomass in tropical forests with ground-cancelled P-band SAR and limited reference data
MJ Soja, S Quegan, MM d'Alessandro, F Banda… - Remote Sensing of …, 2021 - Elsevier
This paper introduces the CASINO (CAnopy backscatter estimation, Subsampling, and
Inhibited Nonlinear Optimisation) algorithm for above-ground biomass (AGB) estimation in …
Inhibited Nonlinear Optimisation) algorithm for above-ground biomass (AGB) estimation in …
[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 …