Land Use Classification, Prediction, and the Relationship Between Land Use and Sediment Loss in the Lam Phra Phlong Watershed, Thailand

This study aims to assess the evolution of land cover in the Lam Phra Phloeng (LPP) watershed and predict future land use patterns. By employing the Gray Level Co-occurrence Matrix (GLCM) and several spectral indices, high classification accuracy (>92%) was achieved using the Random Forest (RF) algo...

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Detalhes bibliográficos

Principais autores:	Uma Seeboonruang, Ranadheer Mandadi, Prapas Thammaboribal, Arlene L. Gonzales, Satya Venkata Sai Aditya Bharadwaz Ganni
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-02-01
coleção:	Agriculture
Assuntos:	CA-Markov land use prediction SDR InVEST soil loss
Acesso em linha:	https://www.mdpi.com/2077-0472/16/4/448
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