Evaluation of land use changes using remote sensing data (Case study: Nokabad watershed, Khash city)

Authors

1 Master of Watershed Management, Faculty of Water and Soil, Zabol University, Zabol, Iran

2 Assistant Professor of Watershed Management, Faculty of Water and Soil, Zabol University, Zabol, Iran

3 Assistant Professor of Watershed Management, Faculty of Water and Soil, Zabol University, Zabol, Iran.

4 مربی پژوهشی، عضو هیات علمی پژوهشکده دامهای خاص، دانشگاه زابل . زابل، ایران.

Abstract

Identifying and reviewing land use changes can help managers and planners in recognizing the factors affecting land use change and making the right management decisions at different levels. The aim of this study was to investigate land use changes and determine land use classes using remote sensing methods in Nokabad watershed of Khash city in Sistan and Baluchestan province. For this purpose, after determining the boundary of the study area using 1: 50,000 maps, related multi-time data were obtained from the Landsat satellite of the US Geological Survey. After performing geometric, radiometric and atmospheric corrections, land use classification was determined on satellite images for the studied time periods (2016-2010-2015-2000-1994). The accuracy of production drawings was determined using the general accuracy test and kappa statistics. After preparing the land use map in ArcGIS software environment, comparison of land use changes between the mentioned study periods (each statistical period with the previous statistical period) was performed. Based on the results, the overall accuracy of the classification of production user maps for the years 1994 (97.45%), 2000 (97.21%), 2005 (98.04%), 2010 (97.09%) And 2016 (97.06%) was relatively good. The results of the study of land use change showed that the most changes in terms of area are related to mountain pastures and the least changes are related to rivers, and in the meantime, agricultural lands and residential areas have moderate changes, the main reason for these changes. Can be considered climate change and human intervention. These results indicate that the correct knowledge of land use changes causes managers to identify the strengths and weaknesses of their executive plans and take action to eliminate them.

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