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 …
A review of radar remote sensing for biomass estimation
Forest plays a vital role in regulating climate through carbon sequestration in its biomass.
Biomass reflects the health and environmental conditions of a forest ecosystem. In context to …
Biomass reflects the health and environmental conditions of a forest ecosystem. In context to …
[HTML][HTML] The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations
M Santoro, O Cartus, N Carvalhais… - Earth System …, 2021 - essd.copernicus.org
The terrestrial forest carbon pool is poorly quantified, in particular in regions with low forest
inventory capacity. By combining multiple satellite observations of synthetic aperture radar …
inventory capacity. By combining multiple satellite observations of synthetic aperture radar …
Improving above ground biomass estimates of Southern Africa dryland forests by combining Sentinel-1 SAR and Sentinel-2 multispectral imagery
Having the ability to make accurate assessments of above ground biomass (AGB) at high
spatial resolution is invaluable for the management of dryland forest resources in areas at …
spatial resolution is invaluable for the management of dryland forest resources in areas at …
[HTML][HTML] An above-ground biomass map of African savannahs and woodlands at 25 m resolution derived from ALOS PALSAR
Savannahs and woodlands are among the most important biomes in Africa: they cover half
of sub-Saharan Africa, provide vital ecosystem services to the rural communities, and play a …
of sub-Saharan Africa, provide vital ecosystem services to the rural communities, and play a …
Aboveground biomass estimation using multi-sensor data synergy and machine learning algorithms in a dense tropical forest
Forest aboveground biomass (AGB) is an important factor for tracking global carbon cycle to
tackle the impact of climate change. Among all available remote sensing data and methods …
tackle the impact of climate change. Among all available remote sensing data and methods …
Large-scale autonomous flight with real-time semantic slam under dense forest canopy
Semantic maps represent the environment using a set of semantically meaningful objects.
This representation is storage-efficient, less ambiguous, and more informative, thus …
This representation is storage-efficient, less ambiguous, and more informative, thus …
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 …
Quantifying forest biomass carbon stocks from space
Abstract Purpose of Review This review presents cutting-edge methods and current and
forthcoming satellite remote sensing technologies to map aboveground biomass (AGB) …
forthcoming satellite remote sensing technologies to map aboveground biomass (AGB) …
Decrease of L-band SAR backscatter with biomass of dense forests
S Mermoz, M Réjou-Méchain, L Villard… - Remote Sensing of …, 2015 - Elsevier
Synthetic aperture radar (SAR) is one of the most promising remote sensors to map forest
carbon. The unique spaceborne and long-wavelength SAR data currently available are L …
carbon. The unique spaceborne and long-wavelength SAR data currently available are L …