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"A Study on Land Use and Land Cover Classification in Mandalay Area by Using Remote Sensing & GIS Techniques"

https://meral.edu.mm/records/8420
d686cb46-7190-4dc6-88fc-8e58f6994ef2
5f186068-0f69-4803-8111-1276c1b9732c
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Hla Hla Myitzu.pdf (2.2 MB)
Publication type
Journal article
Upload type
Publication
Title
Title "A Study on Land Use and Land Cover Classification in Mandalay Area by Using Remote Sensing & GIS Techniques"
Language en
Publication date 2022-08-12
Authors
Hla Myitzu
Aung Nandar Htun
Aye Myat Thuzar
Phyoe Wai Tun
Zar Zar Lin
Description
"Land Use & Land Cover classification have been identified by using supervised classification
(MLCM) and band ratioing method from reflectance bands of Landsat7 image. Firstly,
supervised classification was done by using field data and questionnaires which were asked
during field survey. Field data was used for image classification and verifying the result.
Finally, seven band ratios have been created and each ratio reveals two or three LULC
features. Ratio of visible spectrum bands (b2/b3 and b3/b2) can help to clear the images of
forests, crop lands, barren lands; ratios of red and near IR bands (b3/b4 and b4/b3) reveal
urban area, vegetation, waterbody and croplands. This study has been on the basis of visual
interpretation on different classification techniques. This study shows that images of large
area can be obtained rapidly and low cost by using different classification methods."
Keywords
Supervised, Band Ratioing & Classification
Journal articles
2022
Yadanabon University Research Journal
113-122
Vol.12, No.1
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