{"created":"2021-11-30T05:35:40.344066+00:00","id":8125,"links":{},"metadata":{"_buckets":{"deposit":"b7768693-4fa0-41dc-86d9-54e8fa3759fb"},"_deposit":{"created_by":140,"id":"8125","owner":"140","owners":[140],"owners_ext":{"displayname":"","email":"appphyu1500@gmail.com","username":""},"pid":{"revision_id":0,"type":"depid","value":"8125"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/00008125","sets":["1607959986665","1607959986665:1608033738939"]},"author_link":[],"control_number":"8125","item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Geographical Assessment on Spatial Variation of Land Surface Temperature Using Landsat (8) Data","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"The land surface temperature “LST” is an important parameter in the study of the physical processes of the land surface; such as urban land use and land cover changes, global climate change, hydrological, geophysical, biophysical, heat balance study, and also a key input for climate models. Recently, land surface temperature obtained by satellite technology can furnish an effective assessment of surface temperatures variation than thermometer network-based assessments. The major objectives of this research are the estimation of surface temperature variation and areas of high temperature and to evaluate the use of Thermal Infrared Remote Sensing for assessing temperature differences in ThirtyTwo Townships of Yangon area. The present study focuses on ArcGIS Raster functions and Raster calculation using the Landsat 7 and Landsat 8 March and December, thermal Bands (10 & 11). The results are feasible to Calculate NDVI, LSE, and LST with appropriate accuracy. The thermal energy responses of different structures of the City indicate the variations in surface temperature. Groundbased observations reflect only thermal conditions around the station. However, using remote sensing thermal bands in this study enables us to get the thermal condition for each pixel and assess the spatial variation of temperatures on the whole study area."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"LST"},{"interim":"NDVI"},{"interim":"Gross Domestic ProductThermal Infrared Remote Sensing data (TIR)"},{"interim":"Spatial Variation"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2021-11-30"}],"displaytype":"preview","filename":"Geographical Assessment on Spatial Variation of Land Surface Temperature Using Landsat(8) Data.pdf","filesize":[{"value":"1.3 MB"}],"format":"application/pdf","licensetype":"license_0","url":{"url":"https://meral.edu.mm/record/8125/files/Geographical Assessment on Spatial Variation of Land Surface Temperature Using Landsat(8) Data.pdf"},"version_id":""}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_journal_title":"Journal of the University of Co-operative and Management , Thanlyin ,2022","subitem_pages":"97 - 113","subitem_volume":"Vol.5"}]},"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":"2022-02-01"},"item_title":"Geographical Assessment on Spatial Variation of Land Surface Temperature Using Landsat (8) Data","item_type_id":"21","owner":"140","path":["1607959986665","1608033738939"],"publish_date":"2021-11-30","publish_status":"0","recid":"8125","relation_version_is_last":true,"title":["Geographical Assessment on Spatial Variation of Land Surface Temperature Using Landsat (8) Data"],"weko_creator_id":"140","weko_shared_id":-1},"updated":"2023-01-20T05:31:18.706429+00:00"}