Preparation of Land Use Map Using ETM+ Landsat (A Case Study in Hendodar Watershed)

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davodpour Rezvan; TORANJZAR HAMID

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Journal Paper

Paper Information

Journal: JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY Year:2020 | Volume:22 | Issue:6 (97) Page(s): 379-389

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Title

Preparation of Land Use Map Using ETM+ Landsat (A Case Study in Hendodar Watershed)

Author(s)

davodpour Rezvan | TORANJZAR HAMID | Issue Writer Certificate

Keywords

Land UseQ1

Hendodar WatershedQ1

Remote SensingQ2

ETM+ DataQ1

Abstract

Background and Objective: High population growth rate has led to excessive use of capacity and double pressure on natural resources, resulting in rapid Land Use changes. Therefore, quick and accurate identification of types of land cover can play an effective role in planning and management. Satellite data because of vast and integrated sight covering with different electromagnetic spectrums and updated images are very suitable for making applicable Land Use maps. The aim of this study is preparation of Land Use map using ETM+ landsat (a Case Study in Hendodar Watershed) Method: The Landsat 7 satellite images were used to determine the Land Use changes of Hendodar Watershed in Markazi province. The GPS was used to determine the position of Land Use and land cover types on the basis of taking test and ground control points on field investigation. Obtained samples were used for supervised classification with four different algorithms including maximum Likelihood, minimum distance, Minimum Mahalanobis Distance and Box Classification. Findings: The optimum index factor (OIF) for the main bands and PCA (principal coordinate analysis) were used to select the optimum combination of three bands in a satellite image to create a color composite, sample set and other operation and classification. Among the algorithms, the maximum likelihood classification algorithm had better results from the types of coverage and lands use on the images. Discussion and Conclusion: The maximum likelihood classification algorithm with combination of b7, b4, b1 bands with 81. 25% accuracy is the best algorithms of Land Use determination and classification comparing with real ground map of the area.

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APA: Copy

davodpour, Rezvan, & TORANJZAR, HAMID. (2020). Preparation of Land Use Map Using ETM+ Landsat (A Case Study in Hendodar Watershed). JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 22(6 (97) ), 379-389. SID. https://sid.ir/paper/391782/en

Vancouver: Copy

davodpour Rezvan, TORANJZAR HAMID. Preparation of Land Use Map Using ETM+ Landsat (A Case Study in Hendodar Watershed). JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY[Internet]. 2020;22(6 (97) ):379-389. Available from: https://sid.ir/paper/391782/en

IEEE: Copy

Rezvan davodpour, and HAMID TORANJZAR, “Preparation of Land Use Map Using ETM+ Landsat (A Case Study in Hendodar Watershed),” JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, vol. 22, no. 6 (97) , pp. 379–389, 2020, [Online]. Available: https://sid.ir/paper/391782/en

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