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Impact of land use/land cover changes on evapotranspiration and model accuracy using Google Earth engine and classification and regression tree modeling

This research uses a Classification and Regression Tree (CART) model with Google Earth Engine (GEE) to assess the winter season’s land cover and change detection mapping impact on the evapotranspiration (crop water requirement) parameters. Winter seasons, crucial for agricultural planning, and irrig...

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Principais autores: Chaitanya B. Pande, Pranaya Diwate, Israel R. Orimoloye, Lariyah Mohd Sidek, Arun Pratap Mishra, Kanak N. Moharir, Subodh Chandra Pal, Fahad Alshehri, Abebe Debele Tolche
Formato: Artigo
Idioma:Inglês
Publicado em: Taylor & Francis Group 2024-12-01
coleção:Geomatics, Natural Hazards & Risk
Assuntos:
GEE
CART model
LULC
satellite data
remote sensing
energy
Acesso em linha:https://www.tandfonline.com/doi/10.1080/19475705.2023.2290350
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