ASSESSMENT OF LAND USE AND LAND COVER CHANGE DETECTION BY USING REMOTE SENSING AND GIS TECHNIQUES IN THE COASTAL DESERTS, SOUTH OF IRAN
| Autor: | Hamid Gholami, Y. Esmaeilpoor, S. A. R. Hosseini |
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| Rok vydání: | 2019 |
| Předmět: |
lcsh:Applied optics. Photonics
Ground truth 010504 meteorology & atmospheric sciences Land use lcsh:T Land cover change detection 0211 other engineering and technologies lcsh:TA1501-1820 Global change 02 engineering and technology Vegetation Land cover lcsh:Technology 01 natural sciences lcsh:TA1-2040 Remote sensing (archaeology) Environmental science lcsh:Engineering (General). Civil engineering (General) Change detection 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W18, Pp 489-492 (2019) |
| ISSN: | 2194-9034 |
| DOI: | 10.5194/isprs-archives-xlii-4-w18-489-2019 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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