Research Article | Published: 25 June 2018

Quantification of Land use/Land cover change in Qorveh-Dehgolan Basin, Kurdistan Province, Iran Using Remote Sensing and GIS

Payam Sajadi, Saumitra  Mukherjee and Kamran  Chapi

Indian Journal of Forestry | Volume: 41 | Issue: 2 | Page No. 103-112 | 2018
DOI: https://doi.org/10.54207/bsmps1000-2018-98X73E | Cite this article

Abstract

This research aimed to analyze the land use/ land cover (LULC) change in Qorveh-Dehgolan Basin (Kurdistan, Iran) from 2000 to 2017 (four sets of data) using Landsat (7 and 8) images. Supervised classification using maximum likelihood generated four series of LULC maps by ENVI 5.3 software. Overall, six major classes including bare soil, water body, vegetation cover, agriculture land, grassland, and settlements were identified and mapped.The LULC style has changed over 17 years. It was determined that the waterbody class has continuously reduced about 173.66 km2 from 2000 to 2017 by 63%. The agriculture class has considerably increased from 2000 to 2017 about 129.43 km2 and finally, the area of settlement class increased about 54.06. km2. The overall accuracy was 81.50%, 85.0%, 92.00%, 92.00% for the years of 2000, 2006, 2013 and 2017 respectively.

Keywords

ENVI 5.3, Error Matrices, Landsat 7, Landsat 8, LULC Map, Maximum Likelihood, Qorveh-Dehgolan Basin Supervised Classification

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How to cite

Sajadi, P., Mukherjee, S. and Chapi, K., 2018. Quantification of Land use/Land cover change in Qorveh-Dehgolan Basin, Kurdistan Province, Iran Using Remote Sensing and GIS. Indian Journal of Forestry, 41(2), pp.103-112. https://doi.org/10.54207/bsmps1000-2018-98X73E

Publication History

Manuscript Published on 25 June 2018

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