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Integrating PRISMA hyperspectral data with Sentinel-1, Sentinel-2 and Landsat data for mapping crop types and land cover in northeast Thailand

Accurate crop types and land cover maps are pivotal for effective land management and agricultural policy, particularly in regions with complex agricultural landscapes and small field sizes. Northeast Thailand, a significant agricultural hub, faces challenges in crop classification due to its divers...

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Principais autores: Savittri Ratanopad Suwanlee, Zahid Naeem Qaisrani, Jaturong Som-ard, Surasak Keawsomsee, Kemin Kasa, Narissara Nuthammachot, Siwa Kaewplang, Sarawut Ninsawat, Enrico Borgogno Mondino, Samuele De Petris, Filippo Sarvia
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2025-06-01
coleção:Egyptian Journal of Remote Sensing and Space Sciences
Assuntos:
Crop types
Earth observation data
Land cover
PRISMA data
Random Forest
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S1110982325000195
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