Characterizing land use/land cover change dynamics by an enhanced random forest machine learning model: a Google Earth Engine implementation

Abstract Land use and land cover (LULC) analysis is crucial for understanding societal development and assessing changes during the Anthropocene era. Conventional LULC mapping faces challenges in capturing changes under cloud cover and limited ground truth data. To enhance the accuracy and comprehen...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Chaitanya Baliram Pande, Aman Srivastava, Kanak N. Moharir, Neyara Radwan, Lariyah Mohd Sidek, Fahad Alshehri, Subodh Chandra Pal, Abebe Debele Tolche, Mohamed Zhran
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	SpringerOpen 2024-04-01
Цуврал:	Environmental Sciences Europe
Нөхцлүүд:	LULC Change detection GEE Random forest Remote sensing Energy
Онлайн хандалт:	https://doi.org/10.1186/s12302-024-00901-0
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!