Flood inundation maps using Sentinel-2: a case study in Berdan Plain

Abstract

This study assessed the performance of remote sensing and geographic information system techniques for analysing flood events in agricultural areas and estimating flooded areas in agricultural lands. The Berdan Plain in the southern part of Turkey is below sea level and prone to flood events. The flooded agricultural areas were estimated by using Sentinel-2 satellite data for the Berdan Irrigation Scheme from December 2019-January 2020. The flooded area in the old Aynaz marsh was estimated as 486.79 hectares on 9 January 2020, while the total flooded area in the Berdan Irrigation Project was 4,515.58 hectares. Flood volume was calculated as 2.61 hm3 and the highest water level was estimated to be −0.76 metres in the old Aynaz marsh. HIGHLIGHTS Flood inundation maps were produced by using Sentinel-2 images.; Modified normalised difference water indices were used for inundation area detection.; Dynamically monitoring the extent of the flood area during the event is possible with remote sensing.;

Keywords

• aynaz marsh
• berdan irrigation project
• flood mapping
• mndwi
• sentinel-2