THE USE OF RADAR AND OPTICAL REMOTE SENSING DATA TO ESTIMATE THE N U M B E R O F A F F E C T E D H O U S E S , T H E A R E A A N D B O U N D A R I E S O F F L O O D Z O N E S
Marzhan Kusainova, Zhanat Toleubekova, Asset Akhmadiya, Aizada Kapassova · Hydrometeorology and ecology · 2024
The article presents the result of determining the flooding zone and the affected houses and buildings of the town of Atbasar from the spring floods of 2017. This result was obtained using three available remote sensing data Sentinel-2A, Landsat-8 and Sentinel-1B of medium spatial resolution. At the first stage, remote sensing data of the near, short-wave, thermal infrared (IR) range and polarization by contrast level were visually analyzed. Images were selected based on a high level of contrast between two classes: a water object and a non-water object (land). At the second stage, threshold values were calculated from a sample of pixels related to water bodies, and then binary images were created. In the third stage, binary images were logically summarized to eliminate the cloud effect and find the resulting binary image of the flood zone from spring floods. In the fourth stage, the resulting binary image was superimposed on the GIS data of the town of Atbasar, where the locations and the number of affected houses and buildings were located. According to this study, it was found that more than 200 country houses were flooded in the northern part, and 9 houses in the eastern part of the town of Atbasar. According to media reports and official bodies, the number of affected houses in Atbasar was about 400. The number of affected houses found by the method of logical summation with three remote sensing data was 52%. The accuracy of the location can be significantly improved by using high spatial resolution remote sensing data. The results of this study may be useful for the emergency service, local government agencies, and insurance companies in assessing damage from spring floods.