نشریه علمی
نوع مقاله : مقاله پژوهشی
نویسندگان
1 Department of Geomatic Engineering, Faculty of Engineering, Gonbad Kavous University
2 Department of Geomatic Engineering, Faculty of Engineering, Zabol, Iran
کلیدواژهها
عنوان مقاله English
نویسندگان English
Water indices have been developed to characterize and extract the Earth's water body from space using satellite images. For detection of surface water changes, multi-temporal images are individually analyzed and compared to detect the changes. In this study, a water change index, named normalized difference water change index (NDWCI), was suggested to directly detect surface water changes between two different time images. The effectiveness of the proposed method to detect surface water change was evaluated in comparison with that of NDWI differencing and MNDWI differencing methods. Landsat imagery as one of the most widely used sources of data in remote sensing was used for this purpose. Overall accuracy and kappa coefficient were calculated to assess the accuracy of the resulting change maps. The results demonstrated that the NDWCI approach consistently outperformed both NDWI and MNDWI in terms of overall accuracy and Kappa coefficient across the two test sites. Overall, these findings indicate that NDWCI provides more robust and reliable surface water change detection than the traditional spectral indices, particularly in heterogeneous or challenging environments.
کلیدواژهها English
