Código QR (código de barras bidimensional)

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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Principais autores: Uma Seeboonruang, Ranadheer Mandadi, Prapas Thammaboribal, Arlene L. Gonzales, Satya Venkata Sai Aditya Bharadwaz Ganni
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2026-02-01
סדרה:Agriculture
נושאים:
CA-Markov
land use prediction
SDR
InVEST
soil loss
גישה מקוונת:https://www.mdpi.com/2077-0472/16/4/448
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