A Robust Index Based on Phenological Features to Extract Sugarcane from Multisource Remote Sensing Data

A Robust Index Based on Phenological Features to Extract Sugarcane from Multisource Remote Sensing Data

Sugarcane is a major crop for sugar and biofuel production. Historically, mapping large sugarcane fields meticulously depended heavily on gathering comprehensive and representative training samples. This process was time-consuming and inefficient. Addressing this drawback, this study proposed a nove...

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Detaylı Bibliyografya
Asıl Yazarlar: Yuanyuan Liu, Chao Ren, Jieyu Liang, Ying Zhou, Xiaoqin Xue, Cong Ding, Jiakai Lu
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: MDPI AG 2023-12-01
Seri Bilgileri:Remote Sensing
Konular:
sugarcane
Google Earth Engine
gap-filling
NDVI
multisource remote sensing
Online Erişim:https://www.mdpi.com/2072-4292/15/24/5783

Internet

https://www.mdpi.com/2072-4292/15/24/5783

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