{"_buckets": {"deposit": "5f186068-0f69-4803-8111-1276c1b9732c"}, "_deposit": {"created_by": 228, "id": "8420", "owner": "228", "owners": [228], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "8420"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00008420"}, "author_link": [], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "\"A Study on Land Use and Land Cover Classification in Mandalay Area by Using Remote Sensing \u0026 GIS Techniques\"", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "\"Land Use \u0026 Land Cover classification have been identified by using supervised classification\n(MLCM) and band ratioing method from reflectance bands of Landsat7 image. Firstly,\nsupervised classification was done by using field data and questionnaires which were asked\nduring field survey. Field data was used for image classification and verifying the result.\nFinally, seven band ratios have been created and each ratio reveals two or three LULC\nfeatures. Ratio of visible spectrum bands (b2/b3 and b3/b2) can help to clear the images of\nforests, crop lands, barren lands; ratios of red and near IR bands (b3/b4 and b4/b3) reveal\nurban area, vegetation, waterbody and croplands. This study has been on the basis of visual\ninterpretation on different classification techniques. This study shows that images of large\narea can be obtained rapidly and low cost by using different classification methods.\""}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Supervised"}, {"interim": "Band Ratioing \u0026 Classification"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2022-12-01"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Hla Myitzu.pdf", "filesize": [{"value": "2.2 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 2200000.0, "url": {"url": "https://meral.edu.mm/record/8420/files/Hla Myitzu.pdf"}, "version_id": "3f293c5d-b7b5-4832-85b2-a1181574b8b3"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "2022", "subitem_journal_title": "Yadanabon University Research Journal", "subitem_pages": "113-122", "subitem_volume": "Vol.12, No.1"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Hla Myitzu"}, {"subitem_authors_fullname": "Aung Nandar Htun"}, {"subitem_authors_fullname": "Aye Myat Thuzar"}, {"subitem_authors_fullname": "Phyoe Wai Tun"}, {"subitem_authors_fullname": "Zar Zar Lin"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Journal article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2022-08-12"}, "item_title": "\"A Study on Land Use and Land Cover Classification in Mandalay Area by Using Remote Sensing \u0026 GIS Techniques\"", "item_type_id": "21", "owner": "228", "path": ["1582966223276"], "permalink_uri": "https://meral.edu.mm/records/8420", "pubdate": {"attribute_name": "Deposit date", "attribute_value": "2022-12-01"}, "publish_date": "2022-12-01", "publish_status": "0", "recid": "8420", "relation": {}, "relation_version_is_last": true, "title": ["\"A Study on Land Use and Land Cover Classification in Mandalay Area by Using Remote Sensing \u0026 GIS Techniques\""], "weko_shared_id": -1}