{"_buckets": {"deposit": "1c5dba01-5f23-49b0-9bf5-27017f28acba"}, "_deposit": {"created_by": 23, "id": "5592", "owner": "23", "owners": [23], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "5592"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/5592", "sets": ["1582963739756", "1582966884038", "user-um"]}, "communities": ["um"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Detecting Land Use and Land Cover Changes in Mandalay City  Using Landsat Images", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Mandalay City has been experiencing a fast urban growth in the past three decades which has been rapid by losing cultivated land/open space and water body. Land use and land cover maps of Mandalay City were produced from Landsat images for 1989, 1999, 2009 and 2019, a period of 10 years interval. Changes in land use and land cover have occurred remarkably, with loss of cultivated land/open space, and water body to urban land uses. Particularly, low-density residential area and high-density urban or built-up area have obviously increased by about 25 percent and 7 percent between 1989 and 2019. Significantly, land covered by vegetation has slightly increased which has been about 4 percent. These land use and land cover changes have drastically altered the land surface characteristics. An analysis of Landsat images revealed an increase of 33 percent of urban residential area and a decrease of 34 percent cultivated land/open space and over 3 percent of water area during the 40 years periods. This paper illustrates the usefulness of a remote sensing approach for monitoring land use and land cover changes and these technologies can save resources such as time, effort, and money comparing with traditional urban approaches."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Land cover"}, {"interim": "Land use"}, {"interim": "Landsat images"}, {"interim": "remote sensing"}, {"interim": "monitoring"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-10-02"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Detecting Land Use and Land Cover Changes in Mandalay City .pdf", "filesize": [{"value": "854 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 854000.0, "url": {"url": "https://meral.edu.mm/record/5592/files/Detecting Land Use and Land Cover Changes in Mandalay City .pdf"}, "version_id": "e269c842-f344-45c3-849c-8cd24083224a"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "1", "subitem_journal_title": "University of Mandalay, Research Journal", "subitem_pages": "140 - 150", "subitem_volume": "11"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Tin Moe Lwin"}]}]}, "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": "2020-05-30"}, "item_title": "Detecting Land Use and Land Cover Changes in Mandalay City  Using Landsat Images", "item_type_id": "21", "owner": "23", "path": ["1582963739756", "1582966884038"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000005592", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-10-02"}, "publish_date": "2020-10-02", "publish_status": "0", "recid": "5592", "relation": {}, "relation_version_is_last": true, "title": ["Detecting Land Use and Land Cover Changes in Mandalay City  Using Landsat Images"], "weko_shared_id": -1}