A review of ensemble learning algorithms used in remote sensing applications
Y Zhang, J Liu, W Shen - Applied Sciences, 2022 - mdpi.com
Machine learning algorithms are increasingly used in various remote sensing applications
due to their ability to identify nonlinear correlations. Ensemble algorithms have been …
due to their ability to identify nonlinear correlations. Ensemble algorithms have been …
[HTML][HTML] Recent advances in lithium-sulfur batteries using biomass-derived carbons as sulfur host
While biomass waste is generated in abundance, these materials and their production
processes are generally environmentally friendly, low cost, non-hazardous and easily …
processes are generally environmentally friendly, low cost, non-hazardous and easily …
[HTML][HTML] The Global Ecosystem Dynamics Investigation: High-resolution laser ranging of the Earth's forests and topography
Obtaining accurate and widespread measurements of the vertical structure of the Earth's
forests has been a long-sought goal for the ecological community. Such observations are …
forests has been a long-sought goal for the ecological community. Such observations are …
Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps
Abstract Deforestation contributes 6–17% of global anthropogenic CO2 emissions to the
atmosphere. Large uncertainties in emission estimates arise from inadequate data on the …
atmosphere. Large uncertainties in emission estimates arise from inadequate data on the …
Primary forest cover loss in Indonesia over 2000–2012
Extensive clearing of Indonesian primary forests results in increased greenhouse gas
emissions and biodiversity loss. However, there is no consensus on the areal extent and …
emissions and biodiversity loss. However, there is no consensus on the areal extent and …
Global Tree Cover and Biomass Carbon on Agricultural Land: The contribution of agroforestry to global and national carbon budgets
Agroforestry systems and tree cover on agricultural land make an important contribution to
climate change mitigation, but are not systematically accounted for in either global carbon …
climate change mitigation, but are not systematically accounted for in either global carbon …
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 …
Global and regional fluxes of carbon from land use and land cover change 1850–2015
The net flux of carbon from land use and land cover change (LULCC) is an important term in
the global carbon balance. Here we report a new estimate of annual fluxes from 1850 to …
the global carbon balance. Here we report a new estimate of annual fluxes from 1850 to …
[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 …
Nondestructive estimates of above‐ground biomass using terrestrial laser scanning
Allometric equations are currently used to estimate above‐ground biomass (AGB) based on
the indirect relationship with tree parameters. Terrestrial laser scanning (TLS) can measure …
the indirect relationship with tree parameters. Terrestrial laser scanning (TLS) can measure …