[HTML][HTML] Gis-based machine learning algorithm for flood susceptibility analysis in the Pagla river basin, Eastern India

NI Saikh, P Mondal - Natural Hazards Research, 2023 - Elsevier
The unique characteristics of drainage conditions in the Pagla river basin cause flooding
and harm the socioeconomic environment. The main purpose of this study is to investigate …

Construction of multidimensional features to identify tea plantations using multisource remote sensing data: A case study of Hangzhou city, China

Y Kang, Z Chen, L Li, Q Zhang - Ecological Informatics, 2023 - Elsevier
China is the world's largest tea producer and trader. From 1995 to 2020, the plantation area
and tea production increased by approximately 200 and 400%, respectively. Therefore, we …

[HTML][HTML] Explainable machine learning-based fractional vegetation cover inversion and performance optimization–a case study of an alpine grassland on the Qinghai …

X Li, J Chen, Z Chen, Y Lan, M Ling, Q Huang, H Li… - Ecological …, 2024 - Elsevier
Abstract Fractional Vegetation Cover (FVC) serves as a crucial indicator in ecological
sustainability and climate change monitoring. While machine learning is the primary method …

[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 …

[PDF][PDF] D5. 2 Past-to-present EBV modelled datasets and status indicator for selected terrestrial habitats in the Habitats Directive

H Bruelheide, U Jandt, N Fernández… - ARPHA …, 2024 - preprints.arphahub.com
Deliverable description Demonstration of the potential workflows to leverage monitoring
data on biodiversity to assess the status of two selected habitats of the Habitats Directive …