Assessing Vegetation Cover Change Using Remote Sensing: Case Study at Binh Duong Province, Vietnam
This study aims to present the application of remote sensing in monitoring vegetation change in Binh Duong Province, Vietnam. The study used Landsat 5 images in the year 2010 and Landsat 8 images in the years 2015 and 2020 to investigate the area of vegetation. The maximum likelihood classification...
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| Format: | Article |
| Language: | English |
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Environmental Research Institute, Chulalongkorn University
2022-08-01
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| Series: | Applied Environmental Research |
| Subjects: | |
| Online Access: | https://ph01.tci-thaijo.org/jer/index.php/aer/article/view/249309 |
| _version_ | 1827341347227435008 |
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| author | Nguyen Thi Huyen Le Hoang Tu Le Truong Ngoc Han Vuong Thi Thuy Dang Nguyen Dong Phuong Nguyen Kim Loi |
| author_facet | Nguyen Thi Huyen Le Hoang Tu Le Truong Ngoc Han Vuong Thi Thuy Dang Nguyen Dong Phuong Nguyen Kim Loi |
| author_sort | Nguyen Thi Huyen |
| collection | DOAJ |
| description |
This study aims to present the application of remote sensing in monitoring vegetation change in Binh Duong Province, Vietnam. The study used Landsat 5 images in the year 2010 and Landsat 8 images in the years 2015 and 2020 to investigate the area of vegetation. The maximum likelihood classification method (MLC) was used to classify land cover and an accuracy matrix was computed to validate the classification results. The references data were collected to support classification and accuracy assessment processes including land use maps in 2010, 2015, and 2020. In addition, collected field points and UAV (unmanned aerial vehicle) in 2020 were used. The overall accuracies are 81.27%, 84.41%, and 83.86%, and Kappa indices were 0.76, 0.80, and 0.80, corresponding to 2010, 2015, and 2020. The results showed that as compared to 2010 and 2015, the area of vegetation in 2020 decreased 10% and 8%, respectively. The average vegetation cover per capita was 740 m2 person-1 in 2020, compared to 1000 m2 person-1 in 2015 and 1200 m2 person-1 in 2010. This reduction was obvious in urban areas in the province, due to the need for construction and development. The study provides meaningful information on vegetation change and green area per capita in Binh Duong Province from 2010 to 2020.
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| first_indexed | 2024-03-07T21:38:45Z |
| format | Article |
| id | doaj.art-a10c6aae38294a699eaa9b1a25168dca |
| institution | Directory Open Access Journal |
| issn | 2287-075X |
| language | English |
| last_indexed | 2024-03-07T21:38:45Z |
| publishDate | 2022-08-01 |
| publisher | Environmental Research Institute, Chulalongkorn University |
| record_format | Article |
| series | Applied Environmental Research |
| spelling | doaj.art-a10c6aae38294a699eaa9b1a25168dca2024-02-26T10:49:22ZengEnvironmental Research Institute, Chulalongkorn UniversityApplied Environmental Research2287-075X2022-08-0144310.35762/AER.2022.44.3.2Assessing Vegetation Cover Change Using Remote Sensing: Case Study at Binh Duong Province, VietnamNguyen Thi Huyen0Le Hoang Tu1Le Truong Ngoc Han2Vuong Thi Thuy3Dang Nguyen Dong Phuong4Nguyen Kim Loi5Faculty of Environment and Natural Resources, Nong Lam University - Ho Chi Minh City, Linh Trung Ward, Thu Duc City, Ho Chi Minh City, VietnamResearch Center for Climate Change, Nong Lam University - Ho Chi Minh City, Linh Trung Ward, Thu Duc City, Ho Chi Minh City, VietnamFaculty of Environment and Natural Resources, Nong Lam University - Ho Chi Minh City, Linh Trung Ward, Thu Duc City, Ho Chi Minh City, VietnamFaculty of Environment and Natural Resources, Nong Lam University - Ho Chi Minh City, Linh Trung Ward, Thu Duc City, Ho Chi Minh City, VietnamResearch Center for Climate Change, Nong Lam University - Ho Chi Minh City, Linh Trung Ward, Thu Duc City, Ho Chi Minh City, VietnamResearch Center for Climate Change, Nong Lam University - Ho Chi Minh City, Linh Trung Ward, Thu Duc City, Ho Chi Minh City, Vietnam This study aims to present the application of remote sensing in monitoring vegetation change in Binh Duong Province, Vietnam. The study used Landsat 5 images in the year 2010 and Landsat 8 images in the years 2015 and 2020 to investigate the area of vegetation. The maximum likelihood classification method (MLC) was used to classify land cover and an accuracy matrix was computed to validate the classification results. The references data were collected to support classification and accuracy assessment processes including land use maps in 2010, 2015, and 2020. In addition, collected field points and UAV (unmanned aerial vehicle) in 2020 were used. The overall accuracies are 81.27%, 84.41%, and 83.86%, and Kappa indices were 0.76, 0.80, and 0.80, corresponding to 2010, 2015, and 2020. The results showed that as compared to 2010 and 2015, the area of vegetation in 2020 decreased 10% and 8%, respectively. The average vegetation cover per capita was 740 m2 person-1 in 2020, compared to 1000 m2 person-1 in 2015 and 1200 m2 person-1 in 2010. This reduction was obvious in urban areas in the province, due to the need for construction and development. The study provides meaningful information on vegetation change and green area per capita in Binh Duong Province from 2010 to 2020. https://ph01.tci-thaijo.org/jer/index.php/aer/article/view/249309Binh Duong ProvinceGreen space per capitaRemote sensingUAVVegetation cover |
| spellingShingle | Nguyen Thi Huyen Le Hoang Tu Le Truong Ngoc Han Vuong Thi Thuy Dang Nguyen Dong Phuong Nguyen Kim Loi Assessing Vegetation Cover Change Using Remote Sensing: Case Study at Binh Duong Province, Vietnam Applied Environmental Research Binh Duong Province Green space per capita Remote sensing UAV Vegetation cover |
| title | Assessing Vegetation Cover Change Using Remote Sensing: Case Study at Binh Duong Province, Vietnam |
| title_full | Assessing Vegetation Cover Change Using Remote Sensing: Case Study at Binh Duong Province, Vietnam |
| title_fullStr | Assessing Vegetation Cover Change Using Remote Sensing: Case Study at Binh Duong Province, Vietnam |
| title_full_unstemmed | Assessing Vegetation Cover Change Using Remote Sensing: Case Study at Binh Duong Province, Vietnam |
| title_short | Assessing Vegetation Cover Change Using Remote Sensing: Case Study at Binh Duong Province, Vietnam |
| title_sort | assessing vegetation cover change using remote sensing case study at binh duong province vietnam |
| topic | Binh Duong Province Green space per capita Remote sensing UAV Vegetation cover |
| url | https://ph01.tci-thaijo.org/jer/index.php/aer/article/view/249309 |
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