Monitoring of land use changes in Shahmirzad city using remote sensing data and spatial information system
Subject Areas : civil and development planning
amir
kamalifard
1
(Expert of Semnan Province Management and Planning Organization)
Keywords: Markov Model, land use, Geographic Information System, remote sensing, Shahmirzad City,
Abstract :
In order to study urban development and land use changes in subsequent periods, we also obtained land use maps and land survey data from Landsat satellite imagery and land use studies in Shahmirzad city to achieve this. Important software is ENVI 5.3, ARC.GIS10.5 and Terrset. . The results show that over the years studied, the area of horticultural, waste land has declined, and residential and human-made land use has increased. It was 2855094 square meters in 2009 and 2429144 square meters in 2019, following a downward trend. Residential and man-made land in 1999 was 360623 square meters, in 2009 it was 1264976 square meters and in 2019 it was 2495357 square meters, indicating a significant increase. . The change detection revealed that most land use conversions in 1999-2009 were related to conversion of arable land to wastewater by about 20% and from 2009 to 2019 related to conversion of arable land into residential land. With about 16%. Survey results show that in the first 10 years, about 20% of the horticultural land has become waste land and in the second 10 years about 7% of the land has become residential and human-made. Validation of the model with a kappa coefficient of 0.76 indicates that the model may have weaknesses but has acceptable ability to predict changes in the region.
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