Flood Mapping and Impact Assessment in Agricultural Land in Hoa Vang, Da Nang Using Remote Sensing and Google Earth Engine

Abstract

: Hoa Vang district in Da Nang city, is frequently affected by floods. This research was conducted to generate a flood map in Hoa Vang District, Da Nang City, during the peak flooding period in 2022, using Sentinel 1 imagery on the Google Earth Engine (GEE) cloud computing platform. The research also aims to assess the impact of this flooding event on the productivity of agricultural land in the district. Based on the Sentinel 1 imagery's backscattering coefficient, the study utilizes the Otsu algorithm for thresholding to determine the flood inundated areas. The results indicated that the optimal Otsu threshold value range from -16.003 to -10.631 dB. In addition, to assess the reliability of the flood mapping results, the study utilizes the in-situ flood inventory data to calculate the overall error and Kappa index. The research findings indicate a high level of reliability with an overall accuracy of 0.89 and a Kappa index of 0.79. Based on this analysis, the study successfully established a flood map for the peak flooding period 2022 in the study area. Furthermore, the study assessed the impact of floods on agricultural land productivity in the communes of Hoa Vang District. The findings showed that the flooded agricultural land area was 1,979.8 hectares, accounting for 77.3% of the total flooded area and 2.7% of the total natural area, primarily concentrated in the southern communes of the district such as Hoa Tien, Hoa Chau, Hoa Phuoc, and Hoa Phong. These findings serve as scientific background for assessing further impacts of flooding on agricultural land in Hoa Vang District, Da Nang City.