Mapping Paddy Rice Fields by Combining Multi-Temporal Vegetation Index and Synthetic Aperture Radar Remote Sensing Data Using Google Earth Engine Machine Learning Platform

The knowledge of the area and spatial distribution of paddy rice fields is important for water resource management. However, accurate map of paddy rice is a long-term challenge because of its spatiotemporal discontinuity and short duration. To solve this problem, this study proposed a paddy rice are...

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Bibliographic Details
Main Authors: Nengcheng Chen, Lixiaona Yu, Xiang Zhang, Yonglin Shen, Linglin Zeng, Qiong Hu, Dev Niyogi
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
SAR
EVI
Online Access:https://www.mdpi.com/2072-4292/12/18/2992