TY  - JOUR
PY  - 2021//
TI  - Automatic flood detection using Sentinel-1 images on the Google Earth engine
JO  - Environmental monitoring and assessment
A1  - Moharrami, Meysam
A1  - Javanbakht, Mohammad
A1  - Attarchi, Sara
SP  - e248
EP  - e248
VL  - 193
IS  - 5
N2  - Flood is considered to be one of the most destructive natural disasters. It is important to detect the flood-affected area in a reasonable time. In March 2019, a severe flood occurred in the north of Iran and lasted for 2 months. In the present paper, this flood event has been monitored by Sentinel-1 images. The Otsu thresholding algorithm has been applied to separate flooded areas from remaining land covers. The threshold value of -14.9 dB was derived and applied to each scene to delineate flooded areas. There was high variability of the inundated area; however, the presented threshold correctly represented the variation of the flood. The resultant maps were further verified by independent datasets. The overall accuracies were higher than 90%, confirming the applicability of the Otsu automatic thresholding method in flood mapping. The automatic approach is efficient in rapid fold mapping across complex landscapes.<p />  <p>Language: en</p>
LA  - en
SN  - 0167-6369
UR  - http://dx.doi.org/10.1007/s10661-021-09037-7
ID  - ref1
ER  -