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[HTML][HTML] Integration of machine learning and remote sensing for above ground biomass estimation through Landsat-9 and field data in temperate forests of the …
Accurately estimating aboveground biomass (AGB) in forest ecosystems facilitates efficient
resource management, carbon accounting, and conservation efforts. This study examines …
resource management, carbon accounting, and conservation efforts. This study examines …
Combining GEDI and sentinel data to estimate forest canopy mean height and aboveground biomass
Forest canopy mean height (CMH) and aboveground biomass (AGB) are key indicators for
evaluating forest ecosystem productivity. In this study, we proposed a new approach to …
evaluating forest ecosystem productivity. In this study, we proposed a new approach to …
[HTML][HTML] The impact of land-use change on the ecological environment quality from the perspective of production-living-ecological space: A case study of the northern …
Y Cao, M Zhang, Z Zhang, L Liu, Y Gao, X Zhang… - Ecological …, 2024 - Elsevier
Elucidating the relationships between production-living-ecological space (PLES) and
ecological environments can help identify new strategies to promote sustainable …
ecological environments can help identify new strategies to promote sustainable …
Modelling aboveground biomass of a multistage managed forest through synergistic use of Landsat-OLI, ALOS-2 L-band SAR and GEDI metrics
To better understand forest carbon budgets and design forest-based climate change
mitigation solutions, reliable biomass estimation is critical. Integrating multi-sensor remote …
mitigation solutions, reliable biomass estimation is critical. Integrating multi-sensor remote …
Spatial patterns of China's carbon sinks estimated from the fusion of remote sensing and field-observed net primary productivity and heterotrophic respiration
Accurately assessing the carbon sink and spatial distribution pattern of China's terrestrial
ecosystems is of great significance to the implementation of climate change and carbon …
ecosystems is of great significance to the implementation of climate change and carbon …
LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa
Accurate map** and monitoring of tropical forests aboveground biomass (AGB) is crucial
to design effective carbon emission reduction strategies and improving our understanding of …
to design effective carbon emission reduction strategies and improving our understanding of …
Remote sensing-based biomass estimation of dry deciduous tropical forest using machine learning and ensemble analysis
Forests play a vital role in maintaining the global carbon balance. However, globally, forest
ecosystems are increasingly threatened by climate change and deforestation in recent …
ecosystems are increasingly threatened by climate change and deforestation in recent …
[HTML][HTML] Aboveground biomass estimation in forests with random forest and Monte Carlo-based uncertainty analysis
Z Li, S Bi, S Hao, Y Cui - Ecological Indicators, 2022 - Elsevier
Estimates of aboveground biomass (AGB) in forests and the associated uncertainty are
important pieces of information outlined in the United Nations Framework Convention on …
important pieces of information outlined in the United Nations Framework Convention on …
[HTML][HTML] Hybrid machine learning models for aboveground biomass estimations
Forest biomass provides a quantitative assessment for carbon stock marketing on a national
or regional scale. Some countries have committed to net zero carbon emissions, so proper …
or regional scale. Some countries have committed to net zero carbon emissions, so proper …
[HTML][HTML] Machine learning methods: Modeling net growth in the Atlantic Forest of Brazil
SJSS da Rocha, CMME Torres, PH Villanova… - Ecological …, 2024 - Elsevier
Tree growth models are an important and essential part of modeling forest dynamics and
valuable tools for management planning and biodiversity conservation strategies. We …
valuable tools for management planning and biodiversity conservation strategies. We …