Investigation and forecasting of land use changes in Shahrekord city Using LCM and GIS
محورهای موضوعی : فصلنامه علمی پژوهشی سنجش از دور راداری و نوری و سیستم اطلاعات جغرافیایی
Jafar Rahimi
1
,
Seyed Ali Almodaresi
2
1 - Remote Sensing and Geography Information System, Yazd Branch, Islamic Azad University, Yazd, Iran
2 - Professor, Geomorphology, Yazd Branch, Islamic Azad University, Yazd, Iran
کلید واژه: Classification, land use, NDVI, LCM, satellite imagery,
چکیده مقاله :
The study was conducted to investigate land use changes in Shahrekord city in the period of 1990, 2000 and 2020. In order to analyze the changes in the region, the images of Landsat 5 SensorTM satellite for 1990 and 2000 and Landsat 8 Sensor OLI, 2020 were used. The model used in this study, modeler of LCM land changes, in this study, first in the vegetation index area were classified into several classes without cover, low cover, medium cover, high cover and very high cover, also according to the location and topography of the area for Classifications of urban uses, agriculture, water area, wasteland and roads were considered. Comparison of the 2020 forecast map with the 2020 land use classification map showed that the forecasts were acceptable for urban use. Also in the discussion of roads was high accuracy. In the discussion of vegetation and agriculture, there was no forecast of water reduction (reduction of reserves) and it was found that in the forecast map, vegetation, especially in the east, has increased much. The 2030 forecast indicates further development of urban land use and vegetation and agriculture.
The study was conducted to investigate land use changes in Shahrekord city in the period of 1990, 2000 and 2020. In order to analyze the changes in the region, the images of Landsat 5 SensorTM satellite for 1990 and 2000 and Landsat 8 Sensor OLI, 2020 were used. The model used in this study, modeler of LCM land changes, in this study, first in the vegetation index area were classified into several classes without cover, low cover, medium cover, high cover and very high cover, also according to the location and topography of the area for Classifications of urban uses, agriculture, water area, wasteland and roads were considered. Comparison of the 2020 forecast map with the 2020 land use classification map showed that the forecasts were acceptable for urban use. Also in the discussion of roads was high accuracy. In the discussion of vegetation and agriculture, there was no forecast of water reduction (reduction of reserves) and it was found that in the forecast map, vegetation, especially in the east, has increased much. The 2030 forecast indicates further development of urban land use and vegetation and agriculture
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