{"_buckets": {"deposit": "4bd44a02-d484-4f23-9c68-c7d76c88a331"}, "_deposit": {"created_by": 140, "id": "8999", "owner": "140", "owners": [140], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "8999"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00008999", "sets": []}, "author_link": [], "control_number": "8999", "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "IMAGE ANALYSIS OF UNSUPERVISED CLASSIFICATION IN LAND COVER TYPES BY  GIS TECHNIQUE: SOUTHERN YANGON REGION", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "This research approach image classification using Arc GIS from satellite Landsat \nimage. Supervised Learning predicts based on a class type. Unsupervised Learning \ndiscovers underlying patterns. Image classification is small piece of the very \nintricate machine learning. In addition to classification, other key aspects include \nobject detection and object localization. This is followed by the extended \nmethodological workflow supported by illustrative print screens and technical \ndescription of data processing in ArcGIS. The methodology includes a workflow \ninvolving several technical steps of raster data processing in ArcGIS: 1. coordinate \nprojecting, 2. pre-processing, 3. inspection of raster statistics, 4. spectral bands \ncombination, 5. calculations, 6. unsupervised classification, 7. mapping. The \nclassification was done by clustering technique using ISO Cluster algorithm \nClassification. The main purposes of this research are to interpret changing the area \nof the land use land cover in the interest study area using the Unsupervised \nClassification method, Normalized Difference Vegetation Index (NDVI) and the \nNormalized Difference Built Up Index (NDBI) approaches. This paper finally \npresents the results of the ISO Cluster application for Landsat (8) image processing \nand concludes final remarks on the perspectives of environmental mapping based \non Landsat (8) image processing in ArcGIS."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Supervised Classification"}, {"interim": "Unsupervised Classification"}, {"interim": "NDVI"}, {"interim": "NDBI"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2023-08-14"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "IMAGE ANALYSIS OF UNSUPERVISED CLASSIFICATION IN LAND COVER TYPES BY GIS TECHNIQUE SOUTHERN YANGON REGION.pdf", "filesize": [{"value": "2.5 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 2500000.0, "url": {"url": "https://meral.edu.mm/record/8999/files/IMAGE ANALYSIS OF UNSUPERVISED CLASSIFICATION IN LAND COVER TYPES BY GIS TECHNIQUE SOUTHERN YANGON REGION.pdf"}, "version_id": "5353aca5-dbc4-4949-a4e4-5098b8846069"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "1", "subitem_journal_title": "The 10th Anniversary of University Research Journal 2023", "subitem_pages": "123-140", "subitem_volume": "Vol.6"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Win Thet Myint"}]}]}, "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": "2023-03-01"}, "item_title": "IMAGE ANALYSIS OF UNSUPERVISED CLASSIFICATION IN LAND COVER TYPES BY  GIS TECHNIQUE: SOUTHERN YANGON REGION", "item_type_id": "21", "owner": "140", "path": ["1607959986665", "1608033738939"], "permalink_uri": "https://meral.edu.mm/records/8999", "pubdate": {"attribute_name": "Deposit date", "attribute_value": "2023-08-14"}, "publish_date": "2023-08-14", "publish_status": "0", "recid": "8999", "relation": {}, "relation_version_is_last": true, "title": ["IMAGE ANALYSIS OF UNSUPERVISED CLASSIFICATION IN LAND COVER TYPES BY  GIS TECHNIQUE: SOUTHERN YANGON REGION"], "weko_shared_id": -1}