BAKU STATE UNIVERSITY JOURNAL of EARTH SCIENCES & ENVIRONMENT
ISSN: 3006-8703 (ONLINE);
ASSESSMENT AND MAPPING OF ARIDITY CONDITIONS IN ZANGILAN, JABRAYIL AND FIZULI DISTRICTS USING MULTISPECTRAL INDEXES
Received: 24-Jul-2024 Accepted: 26-Aug-2024 Published: 23-Sep-2024 Download PDF
A.S. Aghbabali; N.K. Nagiyeva
Abstract
Aridity is the most destructive phenomenon for the environment. Weather-related disasters affected 2.8 billion people, 50% of them from aridity between 1967 and 1991. Because aridity cover large areas, they are difficult to control using traditional systems.
Solving these problems is possible with the help of geographic information technologies, as well as remote sensing of the Earth, which provide objective information in the form of multispectral images of the earth's surface.
Currently, a large number of indices have been developed to determine the type of covering surface and its condition, based on the calculation of the ratios of reflection coefficients in various areas of the electromagnetic range.
The main purpose of the paper is to highlight the potential use of temperature condition indi-ces to determine the degree of aridity of a research area based on satellite imagery data over an ex-tended period.
The article discusses the issue of determining the degree of aridity of the research area using the temperature condition index TCI. Based on Landsat satellite images, electronic maps of TCI index values were constructed in the territory of 3 regions included in the southwestern region of Azerbai-jan: Zangilan, Jabrayil and Fizuli districts.
The results were analyzed, and the entire territory, according to the calculated index values by using the ArcGIS 10.6 program, was divided into 5 zones with different aridity values - from extreme drought to its absence.
Satellite images were taken for 4 years to determine the dynamics: 1987, 2004, 2013 and 2023. A pairwise (for each period considered) comparison of data was made. It is shown that the driest seasons are currently occurring in this area. Areas with a pronounced change in the situation for the worse are indicated.