Abstract
Abstract. Land use/land cover (LULC) changes have become a central issue in current global change and sustainability research. Due to the large expanse of land change detection by the traditional methods is not sufficient and efficient; therefore, using of new methods such as remote sensing technology is necessary and vital This study evaluates LULC change in chabahar and konarak Coastal deserts, located in south of sistan and baluchestan province from 1988 to 2018 using Landsat images. Maximum likelihood classification were used to develop LULC maps. The change detection was executed using post-classification comparison and GIS. Then, taking ground truth data, the classified maps accuracy were assessed by calculating the Kappa coefficient and overall accuracy. The results for the time period of 1988–2018 are presented. Based on the results of the 30-year time period, vegetation has been decreased in area while urban areas have been developed. The area of saline and sandy lands has also increased.
Highlights
Land use/land cover (LULC) changes have become a central issue in current global change and sustainability research (Abdullah et al, 2014)
Robles and Luna, (2011) investigated land use change dynamics in the Zhujiang Delta south China and the Northern Coastal Region of Nayarit, Mexico respectively using satellite imagery, GIS and stochastic modelling technologies and they concluded that the integration of satellite data and GIS is an effective approach for analysing the direction, rate and spatial pattern of land use change
This paper aims to explore and analyze the characteristics of LULC changes in the coastal desert cities of chabahar, konarak and sistan and baluchestan Province, using Landsat time-series imagery from 1988 to 2018
Summary
Land use/land cover (LULC) changes have become a central issue in current global change and sustainability research (Abdullah et al, 2014). Land use and cover changes are among the most important changes on the land surface which have considerable influence on the environment and environmental processes. Limiting factors in arid areas such as water shortage and soil salinity are important factors to study the occurred changes in land cover Due to the large expanse of land, change detection by the traditional methods is not sufficient and efficient; using of new methods such as remote sensing technology is necessary and vital (Giveii Ashraf, 2013). It has the ability to incorporate multi-sources of data into a change detection plat form (Ramachandra & Kumar, 2004) Remotely sensed data and GIS are widely used for de - tecting land use and land cover changes. Many studies have attempted to use remotely sensed data and GIS to address land use change detection (Weng, 2002). This paper aims to explore and analyze the characteristics of LULC changes in the coastal desert cities of chabahar , konarak and sistan and baluchestan Province, using Landsat time-series imagery from 1988 to 2018
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