{"title":"Detection of Land Use and Land Cover Change Using Remote Sensing and GIS in Ba Ria-Vung Tau Province, Vietnam","authors":"B. B. Thien, V. T. Phuong","doi":"10.1134/s1875372823040133","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>Changes in land use and land cover (LULC) are among the global changes resulting from human activity that have the biggest impacts on the ecosystem and the surrounding environment. Detecting and mapping changes in LULC in Ba Ria-Vung Tau province, Vietnam is critical for sustainable development, planning, and management. This study applies the supervised classifier maximum likelihood algorithm in ArcGIS 10.8 software to detect changes in LULC observed in the study area in the period 2000–2020 using multivariate satellite data. For each satellite scene, we applied supervised classification and spectral indices (NDVI-Normalized Difference Vegetation Index and NDWI-Normalized Difference Water Index) for the classification and assessment of LULC changes. Areas obtained from Landsat 5 TM for 2000 and 2010 and Landsat 8 OLI for 2020 were checked for accuracy using kappa coefficients of 0.882, 0.891, and 0.915, respectively. The area was classified into five main LULC classes including agriculture, water bodies, forest, settlement, and bare soil/rock. The LULC status and change maps created in ArcGIS 10.8 show a significant change in LULC. The settlement class has increased continuously for 20 years from 128.09 km<sup>2</sup> (2000) to 300.30 km<sup>2</sup> (2020); the agricultural land class has increased by 124.96 km<sup>2</sup> in the period 2000–2020. The remaining three classes, forest, water bodies, and bare soil/rock, all decreased in area during this period. These LULC changes pose a serious threat, impacting and disturbing the environment. The results of this study can be used in management and planning of future land use in the area.</p>","PeriodicalId":44739,"journal":{"name":"Geography and Natural Resources","volume":null,"pages":null},"PeriodicalIF":0.3000,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geography and Natural Resources","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1134/s1875372823040133","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 0
Abstract
Changes in land use and land cover (LULC) are among the global changes resulting from human activity that have the biggest impacts on the ecosystem and the surrounding environment. Detecting and mapping changes in LULC in Ba Ria-Vung Tau province, Vietnam is critical for sustainable development, planning, and management. This study applies the supervised classifier maximum likelihood algorithm in ArcGIS 10.8 software to detect changes in LULC observed in the study area in the period 2000–2020 using multivariate satellite data. For each satellite scene, we applied supervised classification and spectral indices (NDVI-Normalized Difference Vegetation Index and NDWI-Normalized Difference Water Index) for the classification and assessment of LULC changes. Areas obtained from Landsat 5 TM for 2000 and 2010 and Landsat 8 OLI for 2020 were checked for accuracy using kappa coefficients of 0.882, 0.891, and 0.915, respectively. The area was classified into five main LULC classes including agriculture, water bodies, forest, settlement, and bare soil/rock. The LULC status and change maps created in ArcGIS 10.8 show a significant change in LULC. The settlement class has increased continuously for 20 years from 128.09 km2 (2000) to 300.30 km2 (2020); the agricultural land class has increased by 124.96 km2 in the period 2000–2020. The remaining three classes, forest, water bodies, and bare soil/rock, all decreased in area during this period. These LULC changes pose a serious threat, impacting and disturbing the environment. The results of this study can be used in management and planning of future land use in the area.
期刊介绍：
Geography and Natural Resources publishes information on research results in the field of geographical studies of nature, the economy, and the population. It provides ample coverage of the geographical aspects related to solving major economic problems, with special emphasis on regional nature management and environmental protection, geographical forecasting, integral regional research developments, modelling of natural processes, and on the advancement of mapping techniques. The journal publishes contributions on monitoring studies, geographical research abroad, as well as discussions on the theory of science.
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