[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 …

SA Anees, K Mehmood, WR Khan, M Sajjad… - Ecological …, 2024 - Elsevier
Accurately estimating aboveground biomass (AGB) in forest ecosystems facilitates efficient
resource management, carbon accounting, and conservation efforts. This study examines …

Combining GEDI and sentinel data to estimate forest canopy mean height and aboveground biomass

Q Guo, S Du, J Jiang, W Guo, H Zhao, X Yan… - Ecological …, 2023 - Elsevier
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 …

[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 …

Modelling aboveground biomass of a multistage managed forest through synergistic use of Landsat-OLI, ALOS-2 L-band SAR and GEDI metrics

H Padalia, A Prakash, T Watham - Ecological Informatics, 2023 - Elsevier
To better understand forest carbon budgets and design forest-based climate change
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

J Zeng, T Zhou, Q Wang, Y Xu, Q Lin, Y Zhang… - Ecological …, 2023 - Elsevier
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 …

LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa

SR Rodda, R Fararoda, R Gopalakrishnan, N Jha… - Scientific Data, 2024 - nature.com
Accurate map** and monitoring of tropical forests aboveground biomass (AGB) is crucial
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

C Singh, SK Karan, P Sardar, SR Samadder - Journal of Environmental …, 2022 - Elsevier
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 …

[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 …

[HTML][HTML] Hybrid machine learning models for aboveground biomass estimations

QT Bui, QT Pham, VM Pham, VT Tran, DH Nguyen… - Ecological …, 2024 - Elsevier
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 …

[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 …