Analysis of temporal-spatial changes of land using land surface measurements (case example: Pakdasht city)

Subject Areas : Remote sensing,

Alireza Taherinasab ¹ (PhD student, Department of Geography, Chalous Branch, Islamic Azad University, Chalous, Iran)
Lila Ebrahimijanmani ² (Assistant Professor of Geography Department, Chalus Branch, Islamic Azad University, Chalus, Iran)
Amaneh Haghzad ³ (Assistant Professor of Geography Department, Chalus Branch, Islamic Azad University, Chalus, Iran)
Mehrdad Ramezanpour ⁴ (Assistant Professor of Geography Department, Chalus Branch, Islamic Azad University, Chalus, Iran)

Received: 2020-07-04 Accepted : 2022-09-07 Published : 2022-05-22

Keywords: Sanjandeh, residential lands, barren lands, land surface, class level,

Abstract :

Over the past 50 years, humans have changed landscapes even faster and more widely than in any other era. Today, the main concern of human societies is the fragmentation of landscapes as a result of the development of human infrastructure, industrial activities, the destruction of agricultural land and vegetation, the increase in population and the development of urbanization. The main goal of this research is to study and examine the temporal-spatial changes of barren lands, agricultural lands and man-made lands in Pakdasht city using land surface metrics. The data is obtained through satellite images from the Landsat satellite belonging to the years 2019 and 1989, which were taken by the OLI and MSS5 sensors. These images were classified in ENVI 5.3 software based on maximum likelihood algorithm. After preparing the land use maps and classifying these images in the studied time frame, Fragstats software was used to extract measurements at two levels of class and land surface. In total, 7 parameters were measured to quantify the topography of the land in the years 1989 to 2019 AD (1368-1398). The results show that in all land uses in the studied period of time, fragmentation and fragmentation are observed, and most of this fragmentation and fragmentation belong to agricultural lands, and the lowest amount of fragmentation and fragmentation belongs to the residential class.

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