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National-scale mapping of staple crops in Nepal with multi-year Sentinel-2 L2A imagery and binary transformer models

Accurate mapping of staple crops using satellite imagery is essential for sustainable agricultural management, particularly in data-limited regions. Despite recent advances in Earth observations and deep learning, using multi-year time series satellite data and binary deep learning models to produce...

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Principais autores: Dong Luo, Kunwar K. Singh, Seth Goodman, Ariel BenYishay
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2026-06-01
Serier:International Journal of Applied Earth Observations and Geoinformation
Fag:
Sentinel-2
Google Earth Engine
Transformer
Staple crops
Multi-year
Time series
Online adgang:http://www.sciencedirect.com/science/article/pii/S1569843226002566
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