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"An Analysis on the Spatial Distribution of Land Use and Land Cover in Mandalay City by Using Different Classification Techniques"
https://meral.edu.mm/records/8418
https://meral.edu.mm/records/841803732a40-040e-45fa-b587-fa018ec3a092
be9a1ebc-e0c6-44cd-a41d-dc9086945c1a
Name / File | License | Actions |
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Publication type | ||||||
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Journal article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | "An Analysis on the Spatial Distribution of Land Use and Land Cover in Mandalay City by Using Different Classification Techniques" | |||||
Language | en | |||||
Publication date | 2022-08-12 | |||||
Authors | ||||||
Aung Nandar Htun | ||||||
Hla Myitzu | ||||||
Hla Kyi | ||||||
Aung Myint | ||||||
Description | ||||||
"Knowledge of land use and land cover is important for many planning and management activities concerned with the surface of the earth. The term land cover relates to the type of feature presented on the surface of the earth and the term land use relates to the human activities associated with a specific piece of land. The study of the land use patterns and the monitoring of changes are very important for economic planning and country development. LULC features of the study area have been identified by using image classification techniques. Firstly, unsupervised classification was applied to image pixels to automatically identify distinct spectral classes in the image data. Secondly, Maximum Likelihood Classification was done using field data and informal questions which were asked during trip. Finally, NDVI was obtained from Landsat 7 ETM+ data and this method can successfully estimate the spatial distribution of land use and land cover, especially vegetative cover. By using the Image Classification Methods one can understand more about land use and land cover. The advantages of these methods are time and cost saving particularly for the images of large area." |
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Keywords | ||||||
Spatial Distribution, Classification, Vegetative Cover | ||||||
Journal articles | ||||||
2022 | ||||||
Yadanabon University Research Journal | ||||||
123-131 | ||||||
Vol.12, No.1 |