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Precision Identification of Irrigated Areas in Semi-Arid Regions Using Optical-Radar Time-Series Features and Ensemble Machine Learning

Addressing limitations in remote sensing irrigation monitoring (insufficient resolution, single-source constraints, poor terrain adaptability), this study developed a high-precision identification framework for Jianping County, China, a semi-arid region. We integrated Sentinel-1 SAR (VV/VH), Sentine...

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Kaydedildi:
Asıl Yazarlar: Weifeng Li, Changlai Xiao, Xiujuan Liang, Weifei Yang, Jiang Zhang, Rongkun Dai, Yuhan La, Le Kang, Deyu Zhao
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI AG 2025-08-01
Seri Bilgileri:Hydrology
Konular:
Sentinel-1
Sentinel-2
object-oriented
random forest
irrigation identification
Online Erişim:https://www.mdpi.com/2306-5338/12/8/214
Etiketler: Etiketle
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