Change detection analysis and surface area estimation in Bahr Al-Najaf using remote sensing and GIS techniques.

Autor: Lafta, Iqbal Obaid, Jaber, Hussein Sabah
Předmět:
Zdroj: AIP Conference Proceedings; 2024, Vol. 3219 Issue 1, p1-10, 10p
Abstrakt: This study intends to investigate the changes in Bahr Al-Najaf's water surface area over a period of 17 years, namely from 2005 to 2022. Bahr Al-Najaf is a body of water located in southern Iraq. The study used the Support Vector Machine (SVM) technology with satellite images from Landsat and Sentinel 2 to outline the lake's water body. To determine the lake's surface area for each annual period, the raster maps were afterwards converted into vector data inside the framework of (GIS). The study's conclusions imply that over the studied time period, there have been noticeable changes in Bahr Al-Najaf's water surface area. The lake's surface area decreased, coming in at 63.59 square units precisely. The area of 10.03 square units was used as the conversion factor for the length in kilometers in 2005. There was a decrease in the number of kilometers in 2009 of over 84%. But starting in 2009, the lake's surface size gradually increased, eventually reaching its highest measurement of 162.01 square units. the total kilometers traveled in the year 2019. The surface area was subsequently reduced, leaving a value of 120.30 square units. The study's findings are highly relevant for the sustainable management of the lake and the ecology around it. Climate change, changes in land use, and human activities like irrigation and the construction of dams are only a few examples of the natural and anthropogenic factors that have contributed to the observed changes in the water surface area of Bahr Al-Najaf. This study's investigation of surface water changes in the Bahr Al-Najaf area focuses on change detection utilizing the Support Vector Machine (SVM) technique. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index