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 …
Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data
The enormous increase of remote sensing data from airborne and space-borne platforms, as
well as ground measurements has directed the attention of scientists towards new and …
well as ground measurements has directed the attention of scientists towards new and …
Fusing simulated GEDI, ICESat-2 and NISAR data for regional aboveground biomass map**
Accurate map** of forest aboveground biomass (AGB) is critical for better understanding
the role of forests in the global carbon cycle. NASA's current GEDI and ICESat-2 missions as …
the role of forests in the global carbon cycle. NASA's current GEDI and ICESat-2 missions as …
[HTML][HTML] Recent trend and advance of synthetic aperture radar with selected topics
K Ouchi - Remote Sensing, 2013 - mdpi.com
The present article is an introductory paper in this special issue on synthetic aperture radar
(SAR). A short review is presented on the recent trend and development of SAR and related …
(SAR). A short review is presented on the recent trend and development of SAR and related …
Carbon stock and density of northern boreal and temperate forests
Aim To infer a forest carbon density map at 0.01° resolution from a radar remote sensing
product for the estimation of carbon stocks in Northern Hemisphere boreal and temperate …
product for the estimation of carbon stocks in Northern Hemisphere boreal and temperate …
The Krycklan Catchment Study—A flagship infrastructure for hydrology, biogeochemistry, and climate research in the boreal landscape
The Krycklan Catchment Study (KCS) provides a unique field infrastructure for hillslope to
landscape‐scale research on short‐and long‐term ecosystem dynamics in boreal …
landscape‐scale research on short‐and long‐term ecosystem dynamics in boreal …
A stacking ensemble algorithm for improving the biases of forest aboveground biomass estimations from multiple remotely sensed datasets
Y Zhang, J Ma, S Liang, X Li, J Liu - GIScience & Remote Sensing, 2022 - Taylor & Francis
Accurately quantifying the aboveground biomass (AGB) of forests is crucial for
understanding global change-related issues such as the carbon cycle and climate change …
understanding global change-related issues such as the carbon cycle and climate change …
Sensitivity of L-band SAR backscatter to aboveground biomass of global forests
Synthetic Aperture Radar (SAR) backscatter measurements are sensitive to forest
aboveground biomass (AGB), and the observations from space can be used for map** …
aboveground biomass (AGB), and the observations from space can be used for map** …
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] Available and missing data to model impact of climate change on European forests
Climate change is expected to cause major changes in forest ecosystems during the 21 st
century and beyond. To assess forest impacts from climate change, the existing empirical …
century and beyond. To assess forest impacts from climate change, the existing empirical …