2026-06-24T08:44:57Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/00008420 2022-12-01T05:24:25Z 1582963788001:1582966223276

"A Study on Land Use and Land Cover Classification in Mandalay Area by Using Remote Sensing & GIS Techniques" Hla Myitzu Aung Nandar Htun Aye Myat Thuzar Phyoe Wai Tun Zar Zar Lin "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." 2022-08-12 https://meral.edu.mm/records/8420