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

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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Bibliographic Details
Main Authors:	Pande C.B., Diwate P., Orimoloye I.R., Sidek L.M., Pratap Mishra A., Moharir K.N., Pal S.C., Alshehri F., Tolche A.D.
Other Authors:	57193547008
Format:	Article
Published:	Taylor and Francis Ltd. 2025
Subjects:	Classification (of information) Crops Decision making Engines Evapotranspiration Farms Forestry Information management Irrigation Land use Mapping Soil conservation Water conservation Water management Water quality Water supply Change detection Classification and regression tree models Energy Google earth engine Google earths Land use and land cover Remote-sensing Satellite data SDG Winter seasons Remote sensing
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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

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