Research on the application of the Google Earth Engine platform and TurfJS spatial analysis library in rapid monitoring of flooded areas in Vietnam
Applied research | No. 54 (2022)
Applied research | No. 54 (2022)

Research on the application of the Google Earth Engine platform and TurfJS spatial analysis library in rapid monitoring of flooded areas in Vietnam

DOI: 10.54491/jgac.2022.54.664
10.54491/jgac.2022.54.664
Published 2022-12-25
Thi Oanh Nong
Hanoi University of Mining and Geology
Bao Ngoc Dinh
Hanoi University of Mining and Geology
Quang Hien Pham
Hanoi University of Mining and Geology
Tuan Ngoc Tran
National Remote Sensing Department
PDF (Tiếng Việt) | Download: 343

Keywords

Lũ lụt
google earth engine
sentinel 1
viễn thám Flood,
Google Earth Engine
Sentinel-1
NodeJS
PostgreSQL

Working Languages

Tiếng Việt

How to Cite

Nong, T. O., Dinh, B. N., Pham, Q. H., & Tran, T. N. (2022). Research on the application of the Google Earth Engine platform and TurfJS spatial analysis library in rapid monitoring of flooded areas in Vietnam. Journal of Geodesy and Cartography, (54), 39–45. https://doi.org/10.54491/jgac.2022.54.664
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Abstract

Flooding is becoming a concern of many localities across the country. In order to provide a solution to effectively limit the damage of the above-mentioned natural disasters, the article has proposed a technological process and built a system using the Google Earth engine to collect and analyze data on Sentinel 1 multi-temporal remote sensing images. The result after analysis is the flood map and supporting assessments to estimate the damage caused by the flood. The system is built on a completely free NodeJS platform; System data is collected from the Google Earth engine; the PostgreSQL database management system is used for storage, and Mapbox is used for visualization.

https://doi.org/10.54491/jgac.2022.54.664
PDF (Tiếng Việt) | Download: 343

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