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 survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems
Remote sensing-based methods of aboveground biomass (AGB) estimation in forest
ecosystems have gained increased attention, and substantial research has been conducted …
ecosystems have gained increased attention, and substantial research has been conducted …
Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms
Y Li, M Li, C Li, Z Liu - Scientific reports, 2020 - nature.com
Forest aboveground biomass (AGB) plays an important role in the study of the carbon cycle
and climate change in the global terrestrial ecosystem. AGB estimation based on remote …
and climate change in the global terrestrial ecosystem. AGB estimation based on remote …
[HTML][HTML] The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations
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 …
Combination of feature selection and catboost for prediction: The first application to the estimation of aboveground biomass
M Luo, Y Wang, Y **e, L Zhou, J Qiao, S Qiu, Y Sun - Forests, 2021 - mdpi.com
Increasing numbers of explanatory variables tend to result in information redundancy and
“dimensional disaster” in the quantitative remote sensing of forest aboveground biomass …
“dimensional disaster” in the quantitative remote sensing of forest aboveground biomass …
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 …
[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 …
Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass
Estimates of forest biomass are needed for various technical and scientific applications,
ranging from carbon and bioenergy policies to sustainable forest management. As local …
ranging from carbon and bioenergy policies to sustainable forest management. As local …
Evaluating the utility of the medium-spatial resolution Landsat 8 multispectral sensor in quantifying aboveground biomass in uMgeni catchment, South Africa
Aboveground biomass estimation is critical in understanding forest contribution to regional
carbon cycles. Despite the successful application of high spatial and spectral resolution …
carbon cycles. Despite the successful application of high spatial and spectral resolution …
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 …