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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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Detaylı Bibliyografya
Asıl Yazarlar: Uma Seeboonruang, Ranadheer Mandadi, Prapas Thammaboribal, Arlene L. Gonzales, Satya Venkata Sai Aditya Bharadwaz Ganni
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI AG 2026-02-01
Seri Bilgileri:Agriculture
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Online Erişim:https://www.mdpi.com/2077-0472/16/4/448
Etiketler: Etiketle
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