نبذة مختصرة : Flood mapping is an essential component of planning flood mitigation. The availability of remote sensing data makes rapid flood mapping possible. This article develops an accurate method for rapid flood mapping using satellite imagery. Sentinel-2 imagery was tested by acquiring data before and after a flood event in a lowland area. Flooding extraction was performed using the newly developed Flood Inundation Extraction Index (FIEI) and compared to the Modified Normalized Difference Water Index (MNDWI), the most commonly used index. Based on the choice of threshold, the results are divided into flooded and non-flooded areas. Evaluation of the performance accuracy based on the total and kappa coefficients showed that the FIEI approach is more accurate than the MNDWI approach. ; Kartiranje poplav je ključno za načrtovanje blažitev njihovih posledic. Razpoložljivi podatki, zajeti z daljinskim zaznavanjem, nam to omogočajo. V članku razvijamo natančno metodo za hitro kartiranje poplav na podlagi satelitskih posnetkov. Posnetke Sentinel-2 smo testirali s podatki pred in po poplavi v nižinskem območju. Poplave smo zaznavali s pomočjo na novo razvitega ekstrakcijskega indeksa najvišjih poplav (FIEI) in ga primerjali s prilagojenim normaliziranim vodnim indeksom (MNDWI), ki je najpogosteje uporabljen indeks v tovrstnih raziskavah. Območja smo glede na izbor določenega praga razdelili na poplavljena in nepoplavljena. Vrednotenje natančnosti rezultatov na podlagi skupnih in kapa koeficientov je pokazalo, da je pristop FIEI natančnejši od pristopa MNDWI.
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