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Classification of Landsat Images Using Synthetic method for Land Use Mapping
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| Saied Varamesh *1, Sohrab Mohtaram anbaran1 |
| 1- Department of Forest science and engineering, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, Iran. |
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Abstract: (220 Views) |
Aims: Preparation of land use map is very important in optimal land management. There are different methods of land use mapping such as supervised, unsupervised, spectral and object-oriented that each of them has its own advantages and disadvantages.
Methodology: In this research, a synthetic method was presented in order to prepare a land use map of the part of fandoghloo region in Ardabil province using Landsat 8 image. At the first, the image was pre-processed and then the normalized difference vegetation index (NDVI) and brightness index (BI) were extracted and stacked with image bands. Agriculture, fallow, pasture and water body classes were extracted using the maximum likelihood method. Then matched filtering analysis and density slice methods were used to extract barren lands and forest classes respectively. Residential and garden classes’ were extracted using object-oriented method. Finally, using expert knowledge and recognition of the study area and based on ancillary maps (slope and DEM), the final land use map was extracted.
Findings: The overall accuracy and Kappa coefficient of the synthetic method were 97.28 and 0.96%, respectively, that is more suitable and practical for land use planning and management than the conventional methods of satellite image classification and land use mapping.
Also the results showed that due to the similarity of the spectral, shape, color characteristics of the land use / covers classes, using the synthetic method and ancillary maps is more accurate than the conventional methods.
Conclusion: Based on the results of this research, it can be said that in order to land use mapping, according to the characteristics of each region in terms of homogeneity and the number of classes, as well as the type of satellite image, it is better to use different combinations of methods and indices are used for land use mapping.
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| Keywords: Maximum likelihood, Density slice, Matched filtering analysis, Objected Oriented, Ancillary maps |
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Article Type: Original Research |
Subject:
Regional Planning
Received: 2022/12/16 | Accepted: 2023/03/12 | Published: 2023/03/19
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| * Corresponding Author Address: Department of Forest Science and Engineering, Faculty of Agriculture and Natural Resources, Mohaghegh Ardabili University, University Street |
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