Geodetski list, Vol. 78 (101) No. 1, 2024.
Pregledni rad
Investigating Playa Patterns in Isfahan Province via Remote Sensing Techniques
Zahra Mesmarian
; Department of Irrigation and Drainage Engineering, Aburaihan Campus, University of Tehran, Tehran, Iran
*
* Autor za dopisivanje.
Sažetak
Playas are crucial water storage and recharge areas in a predominantly arid and semiarid climate. Mapping playas helps determine their locations, sizes, and hydrological characteristics, providing valuable information for assessing water availability, planning for sustainable water use, and understanding the role of playas in groundwater recharge. Since comprehensive research on identifying all playas in Isfahan Province has not been conducted, presenting a suitable method for their detection can be a significant step in understanding, utilizing, and preserving these areas. Employing remote sensing as an efficient, fast, and highly accurate solution can effectively identify these phenomena. In this regard, Landsat satellite images spanning different months throughout 2023 were gathered for Isfahan Province. Integrating various spectral indices, such as NDWI, SWI, and AWEI for water detection and NDSI for saline areas, significantly enhances the precision of playa delineation. After the application of filters and spectral indices to Landsat satellite images, a total of 24 playas were identified within Isfahan province. Notably, Isfahan and Nain counties had the highest numbers of playas, with 9 and 7 playas, respectively. Among the identified playas, the most significant area was observed in Khur, covering approximately 2250 square kilometers, with a significant portion of its surface covered by salt crust, reaching up to 1300 square kilometers. In order to validate the accuracy of the results, a precise process involving the collection of 106 ground truth points through GPS measurements was conducted. This validation confirms the accuracy of boundary delineation, underscoring the efficacy of remote sensing and GIS technologies in this context.
Ključne riječi
arid regions; Geographic Information Systems (GIS); Isfahan Province; playa mapping; remote sensing; spectral indices.
Hrčak ID:
317488
URI
Datum izdavanja:
31.3.2024.
Posjeta: 77 *