1. Development of farmland drought remote sensing dynamic monitoring system based on Android.
- Author
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LONG Zehao, ZHANG Tianyuan, XU Wei, and QIN Qiming
- Abstract
A farmland drought remote sensing dynamic monitoring system has been established on the Android mobile platform in order to meet the actual needs of users for observation of agricultural conditions such as farmland drought. For the problem of inefficiency in traditional manual field recording by user, the system combines the advantages of portable mobile devices and global positioning system (GPS) to realize the digital management of farmland data, and completes a set of proceesing flow from field data entry, processing to export. With the purpose of real - time drought dynamic monitoring, the system uses the massive remote sensing data management and powerful calculating ability advantages provided by the Google Earth Engine remote sensing cloud computing platform, utilizes multi - source remote sensing data such as Landsat, MODIS and Sentinel, applies the Flask framework to implement the Google Earth Engine platform Python service interface access scheme, and completes the function of dynamic drought monitoring for farmland, which provides users with a technical application platform for selecting the remote sensing data source, calculating the drought monitoring model and finally generating the grade thematic map of drought. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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