logo
Volume 14, Issue 2 (Summer 2022)                   2022, 14(2): 61-76 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Aghamiri1 M, Azizi Z, Imani Harsini J. Evaluation of SDI, NDWI, NDMI and AWEI indices in coastline extraction and water body area of Shadegan wetland. Wetland Ecobiology 2022; 14 (2) :61-76
URL: http://jweb.ahvaz.iau.ir/article-1-1029-en.html
Abstract:   (1496 Views)
Wetlands play an important role in environmental, biodiversity and the production of agricultural and industrial products and the impact of climate change and human activities on these ecosystems, required to study and evaluate the surface changes of wetlands. In this study, wetland changes have been evaluated from 2008 to 2018 using satellite images and multispectral water indicators, including the Normalized Difference Water Index (NDWI), Modified Normalized Difference Water Index (MNDW), Normalized Difference Mouister Index (NDMI), Automated Water Extraction Index (AWEI) and two medium resolution sensors (Landsat 7 TM, Landsat 8 OLI), were used. This study was performed on Shadegan wetland, one of the international wetlands in Iran. The results showed that generally all methods had the Overall accuracy ranging from 64 to 89% and the performance of each method was compared with Root Mean Square Error (RMSE). The NDMI index with an Overall accuracy of 89% and the RMSE of 94.52 performed better than the NDWI index with an overall accuracy of 64% and RMSE of 165.98 in shoreline extraction. The resultant maps from Landsat 8 data had higher overall accuracy than those from Landsat 7. Increasing Shoreline Development index (SDI) showed that ​​Shadegan wetland area was describing and length of the shoreline increasing. In this study, wetland change detection in time series, the climate change impacts, accelerated industrial development, and wetland land use and the environmental effects of wetlands were investigated.
Full-Text [PDF 86 kb]   (2079 Downloads)    
Type of Study: Research | Subject: Special
Received: 2023/02/2 | Accepted: 2022/09/1 | Published: 2022/09/1

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.