Remote sensing approaches for monitoring mangrove species, structure, and biomass: Opportunities and challenges

TD Pham, N Yokoya, DT Bui, K Yoshino, DA Friess - Remote Sensing, 2019 - mdpi.com
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 …

A review of remote sensing applications for oil palm studies

KL Chong, KD Kanniah, C Pohl… - Geo-spatial Information …, 2017 - Taylor & Francis
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 …

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 …

Combining Tandem-X InSAR and simulated GEDI lidar observations for forest structure map**

W Qi, RO Dubayah - Remote sensing of Environment, 2016 - Elsevier
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 …

Improved forest height estimation by fusion of simulated GEDI Lidar data and TanDEM-X InSAR data

W Qi, SK Lee, S Hancock, S Luthcke, H Tang… - Remote Sensing of …, 2019 - Elsevier
Abstract Interferometric Synthetic Aperture Radar (InSAR) and lidar are increasingly used
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

SM Ghosh, MD Behera - Computers & Geosciences, 2021 - Elsevier
The availability of advanced Machine Learning algorithms has made the estimation process
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 …

[HTML][HTML] Interferometric SAR coherence models for characterization of hemiboreal forests using TanDEM-X data

A Olesk, J Praks, O Antropov, K Zalite, T Arumäe… - Remote Sensing, 2016 - mdpi.com
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 …

[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 …

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 …