Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/88435
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dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorHasan, Sen_US
dc.creatorShi, Wen_US
dc.creatorZhu, Xen_US
dc.creatorAbbas, Sen_US
dc.date.accessioned2020-11-19T03:51:39Z-
dc.date.available2020-11-19T03:51:39Z-
dc.identifier.issn1682-1750en_US
dc.identifier.urihttp://hdl.handle.net/10397/88435-
dc.language.isoenen_US
dc.publisherCopernicus GmbHen_US
dc.rights© Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Hasan, S., Shi, W., Zhu, X., and Abbas, S.: LANDSCAPE URBANIZATION AND FARMLAND REDUCTION FROM 2010 TO 2017 IN SOUTH CHINA, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 699-704 is available at https://dx.doi.org/10.5194/isprs-archives-XLIII-B3-2020-699-2020en_US
dc.subjectLand useen_US
dc.subjectLand coveren_US
dc.subjectLandsaten_US
dc.subjectSupport vector machineen_US
dc.subjectUrbanizationen_US
dc.subjectGuangdongen_US
dc.subjectHong kongen_US
dc.subjectMacaoen_US
dc.titleLandscape urbanization and farmland reduction from 2010 to 2017 in South Chinaen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage699en_US
dc.identifier.epage704en_US
dc.identifier.volumeXLIII-B3-2020en_US
dc.identifier.doi10.5194/isprs-archives-XLIII-B3-2020-699-2020en_US
dcterms.abstractLand use land cover (LULC) of Guangdong, Hong Kong, and Macao (GHKM), south China, has undergone significant changes in the last few decades. This study analyze the spatio-temporal LULC changes and urban expansion during 2010-2017 using Landsat TM, ETM+, and OLI. The Landsat images were classified using support vector machine (SVM) into seven classes as forest, grassland, water, fishponds, built-up, bareland, and farmland. Several socioeconomic factors were also obtained to determine their impact on LULC. The result shows that during the studied period, massive economic development and urbanization has increased the built-up area from 8.26% (16,209.61 km2) to 10.31% (20241.77 km2) and substantial reduction in both farmland from 37.64% (73,897.77 km2) to 33.05% (64932.19 km2) and fishponds from 1.25% (2451.12 km2) 0.85% (1674.71 km2). The most dominant conversion were from farmland to built-up and to forest. Furthermore, forest cover increased to 45.02 % (88384.97 km2) in 2017 from 42.38% (83215.59 km2) in 2010 as a result of different afforestation scheme and policies in order to make Greener study area. The analysis of socioeconomic factors shows that increase in gross domestic product (GDP), total investment in fixed assets, and industrialization has led to urbanization growth on a large scale and reduction of farmland. Therefore, there is pressing need for sustainable development and protection of farmlands.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational archives of the photogrammetry, remote sensing and spatial information sciences, 21 Aug. 2020, v. XLIII-B3-2020, p. 699-704en_US
dcterms.isPartOfInternational archives of the photogrammetry, remote sensing and spatial information sciencesen_US
dcterms.issued2020-08-21-
dc.identifier.scopus2-s2.0-85091153073-
dc.identifier.eissn2194-9034en_US
dc.description.validate202011 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Othersen_US
dc.description.pubStatusPublisheden_US
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