APPLICATION OF GOOGLE EARTH ENGINE IN FLOOD MONITORING AND ASSESSMENT OF FLOOD-AFFECTED AGRICULTURAL LAND IN THE BUI RIVER BASIN, HANOI CITY


Authors

  • Tran Thu Ha Vietnam National University of Forestry
  • Tran Ngoc Huan Hanoi University of Natural Resources and Environment
  • Phung Minh Tam Vietnam National University of Forestry
  • Nguyen Thi Hai Vietnam National University of Forestry
  • Bui Thi Cuc Vietnam National University of Forestry
  • Pham Thanh Que Vietnam National University of Forestry
  • Nguyen Dinh Tien University of Agriculture and Forestry, Hue University
  • Ho Hoai Nam Department of Legal Affairs, Ministry of Agriculture and Rural Development

Keywords:

Agricultural land, Bui River Basin, Flood, Google Earth Engine, Sentinel 1A

Abstract

Tropical storms accompanied by heavy rain often appear and cause severe floods from May to November every year in the Bui river basin, seriously affecting the local agricultural production. Therefore, a quick assessment of the agricultural land area affected by inundation is very important for the people and local government officials. In this study, we propose a new method to quickly estimate the agricultural land area affected by floods using Sentinel 1A (S1A). Firstly, the flood map estimated from the S1A image on Google Earth Engine at the flood peak by the Otsu threshold method does not exclude permanent water area with an overall accuracy of 82,5%. The flood extent are estimated at 1324 hectares, approximately 4% higher than the official data of local authorities. Secondly, the study overlayed the official land map and the flood map to determine the location and area of the affected area by the flood. Calculation results show that storm Son Tinh has affected approximately 33% (1261 ha) of agricultural land ( not accounting forestry) in 5 communes. The difference is about 1.2 % (15 ha) compared with statistical results from state management agencies. The results show the valuable potential of using free Synthetic Aperture Radar (SAR) from S1A images to quickly monitor and assess flood-affected agricultural land over a small and large area using the Google Earth Engine.

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Published

23-05-2023

How to Cite

Thu Ha, T., Ngoc Huan, T., Minh Tam, P., Thi Hai, N., Thi Cuc, B., Thanh Que, P., Dinh Tien, N., & Hoai Nam, H. (2023). APPLICATION OF GOOGLE EARTH ENGINE IN FLOOD MONITORING AND ASSESSMENT OF FLOOD-AFFECTED AGRICULTURAL LAND IN THE BUI RIVER BASIN, HANOI CITY. Journal of Forestry Science and Technology, (15), 076–086. Retrieved from https://jvnuf.vjst.net/en/article/view/155

Issue

No. 15 (2023)

Section

Resource management & Environment