Land use and land cover change in Vientiane area, Lao PDR using Object-Oriented classification on multitemporal landsat data

Monitoring of land use and land cover change using remote sensing is important to evaluate the impacts of anthropogenic activities on the environment. Digital change detection using post-classification can help to elucidate dynamics of landscape change. This study illustrates the effectiveness of ob...

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Main Authors: Su, Wah Hue, Alexius Korom, Yen, Wah Seng, Vongphet Sihapanya, Somvang Phimmavong, Phua, Mui How
Format: Article
Language:English
English
Published: American Scientific Publishers 2016
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Online Access:https://eprints.ums.edu.my/id/eprint/19890/1/Land%20use%20and%20land%20cover%20change%20in%20Vientiane%20area.pdf
https://eprints.ums.edu.my/id/eprint/19890/7/Land%20Use%20and%20Land%20Cover%20Change%20in%20Vientiane.pdf
https://eprints.ums.edu.my/id/eprint/19890/
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Institution: Universiti Malaysia Sabah
Language: English
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spelling my.ums.eprints.198902020-12-29T07:13:45Z https://eprints.ums.edu.my/id/eprint/19890/ Land use and land cover change in Vientiane area, Lao PDR using Object-Oriented classification on multitemporal landsat data Su, Wah Hue Alexius Korom Yen, Wah Seng Vongphet Sihapanya Somvang Phimmavong Phua, Mui How QE Geology Monitoring of land use and land cover change using remote sensing is important to evaluate the impacts of anthropogenic activities on the environment. Digital change detection using post-classification can help to elucidate dynamics of landscape change. This study illustrates the effectiveness of object-oriented classification compared to pixel-oriented classification in generating land cover information and its temporal changes. Spatio-temporal dynamics of land cover types in Vientiane area, Lao PDR were analyzed using Landsat images in two-time series (1990 and 2015). We used the top-down approach to classify the Landsat images in iterative steps with three hierarchical scale levels. Scale levels of 25, 10 and 5 with different weighting parameters were used to map the land cover type of Vientiane in 1990 and 2015. With object-oriented classification, overall accuracy and Kappa statistic were improved by 13.44% and 0.16 for land cover classification (LCC) 1990. For LCC 2015, the improvements in overall accuracy and Kappa statistic were 28.71% and 0.25. Based on the LCC 1990 and 2015, we observed an significant growth of plantation areas over the 25 years in the study area . Instead of traditional agricultural activity, the plantation seemed to be the new driver in the rural areas of Lao PDR. The object-oriented classification approach can be applied in other areas of Lao PDR to generate accurate information on land cover changes for better land resource management. American Scientific Publishers 2016 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/19890/1/Land%20use%20and%20land%20cover%20change%20in%20Vientiane%20area.pdf text en https://eprints.ums.edu.my/id/eprint/19890/7/Land%20Use%20and%20Land%20Cover%20Change%20in%20Vientiane.pdf Su, Wah Hue and Alexius Korom and Yen, Wah Seng and Vongphet Sihapanya and Somvang Phimmavong and Phua, Mui How (2016) Land use and land cover change in Vientiane area, Lao PDR using Object-Oriented classification on multitemporal landsat data. Advanced Science Letters, 4. pp. 400-407. ISSN 1936-6612
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic QE Geology
spellingShingle QE Geology
Su, Wah Hue
Alexius Korom
Yen, Wah Seng
Vongphet Sihapanya
Somvang Phimmavong
Phua, Mui How
Land use and land cover change in Vientiane area, Lao PDR using Object-Oriented classification on multitemporal landsat data
description Monitoring of land use and land cover change using remote sensing is important to evaluate the impacts of anthropogenic activities on the environment. Digital change detection using post-classification can help to elucidate dynamics of landscape change. This study illustrates the effectiveness of object-oriented classification compared to pixel-oriented classification in generating land cover information and its temporal changes. Spatio-temporal dynamics of land cover types in Vientiane area, Lao PDR were analyzed using Landsat images in two-time series (1990 and 2015). We used the top-down approach to classify the Landsat images in iterative steps with three hierarchical scale levels. Scale levels of 25, 10 and 5 with different weighting parameters were used to map the land cover type of Vientiane in 1990 and 2015. With object-oriented classification, overall accuracy and Kappa statistic were improved by 13.44% and 0.16 for land cover classification (LCC) 1990. For LCC 2015, the improvements in overall accuracy and Kappa statistic were 28.71% and 0.25. Based on the LCC 1990 and 2015, we observed an significant growth of plantation areas over the 25 years in the study area . Instead of traditional agricultural activity, the plantation seemed to be the new driver in the rural areas of Lao PDR. The object-oriented classification approach can be applied in other areas of Lao PDR to generate accurate information on land cover changes for better land resource management.
format Article
author Su, Wah Hue
Alexius Korom
Yen, Wah Seng
Vongphet Sihapanya
Somvang Phimmavong
Phua, Mui How
author_facet Su, Wah Hue
Alexius Korom
Yen, Wah Seng
Vongphet Sihapanya
Somvang Phimmavong
Phua, Mui How
author_sort Su, Wah Hue
title Land use and land cover change in Vientiane area, Lao PDR using Object-Oriented classification on multitemporal landsat data
title_short Land use and land cover change in Vientiane area, Lao PDR using Object-Oriented classification on multitemporal landsat data
title_full Land use and land cover change in Vientiane area, Lao PDR using Object-Oriented classification on multitemporal landsat data
title_fullStr Land use and land cover change in Vientiane area, Lao PDR using Object-Oriented classification on multitemporal landsat data
title_full_unstemmed Land use and land cover change in Vientiane area, Lao PDR using Object-Oriented classification on multitemporal landsat data
title_sort land use and land cover change in vientiane area, lao pdr using object-oriented classification on multitemporal landsat data
publisher American Scientific Publishers
publishDate 2016
url https://eprints.ums.edu.my/id/eprint/19890/1/Land%20use%20and%20land%20cover%20change%20in%20Vientiane%20area.pdf
https://eprints.ums.edu.my/id/eprint/19890/7/Land%20Use%20and%20Land%20Cover%20Change%20in%20Vientiane.pdf
https://eprints.ums.edu.my/id/eprint/19890/
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