Automated Near-Real-Time Mapping and Monitoring of Rice Extent, Cropping Patterns, and Growth Stages in Southeast Asia Using Sentinel-1 Time Series on a Google Earth Engine Platform

Automated Near-Real-Time Mapping and Monitoring of Rice Extent, Cropping Patterns, and Growth Stages in Southeast Asia Using Sentinel-1 Time Series on a Google Earth Engine Platform

More than 50% of the world’s population consumes rice. Accurate and up-to-date information on rice field extent is important to help manage food and water security. Currently, field surveys or MODIS satellite data are used to estimate rice growing areas. This study presents a cost-effectiv...

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Bibliographic Details
Main Authors: Rudiyanto, Budiman Minasny, Ramisah M. Shah, Norhidayah Che Soh, Chusnul Arif, Budi Indra Setiawan
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Remote Sensing
Subjects:
rice fields
rice phenology
automated near-real-time mapping and monitoring
Sentinel-1
Google Earth Engine
Online Access:https://www.mdpi.com/2072-4292/11/14/1666

Internet

https://www.mdpi.com/2072-4292/11/14/1666

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