Monitoring the Land Cover Changes in Mangrove Areas and Urbanization using Normalized Difference Vegetation Index and Normalized Difference Built-up Index in Krabi Estuary Wetland, Krabi Province, Thailand
Krabi Estuary Wetland (KEW) is an outstanding wetland with an estuary environment. At present, the tourism industry has rapidly grown, resulting in the impact of land cover changes. This research aims to assess the changes that have occurred in the KEW from 1999 to 2020 using NDVI and NDBI for moni...
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| Format: | Article |
| Language: | English |
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Environmental Research Institute, Chulalongkorn University
2021-07-01
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| Series: | Applied Environmental Research |
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| Online Access: | https://ph01-ohno.tci-thaijo.org/index.php/aer/article/view/242422 |
| _version_ | 1798039358689771520 |
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| author | Katawut Waiyasusri |
| author_facet | Katawut Waiyasusri |
| author_sort | Katawut Waiyasusri |
| collection | DOAJ |
| description |
Krabi Estuary Wetland (KEW) is an outstanding wetland with an estuary environment. At present, the tourism industry has rapidly grown, resulting in the impact of land cover changes. This research aims to assess the changes that have occurred in the KEW from 1999 to 2020 using NDVI and NDBI for monitoring changes in mangrove areas and urbanization in Krabi Province, Thailand. Landsat satellite images in years 1999, 2009 and 2020 were classified by using a band ratio to create land cover maps. The results show that NDVI between 0.41–1.00 clearly shows the mangrove forest area, while NDBI between 0.01–0.40 shows urban and built-up land, and 0.41–1.00 appears as bare land. The NDVI overall accuracy assessment is 82.88%, 97.46% and 88.25% with Kappa values of 0.64, 0.92, and 0.85 for year 1999, 2009 and 2020, respectively. The NDBI overall accuracy assessment is 92.81%, 77.11% and 64% with Kappa values of 0.93, 0.77, and 0.63 for year 1999, 2009 and 2020, respectively. In addition, areas that are sensitive to land-cover change appear around the Chi rat River, Pak Nam Krabi River, and Yuan River, which are tourist areas close to the Krabi and Ao Nang communities. Therefore, it is necessary to speed up the problem solving and find measures to prevent mangrove forest degradation in these 3 mangrove forest areas so that the mangrove forest areas will not decrease rapidly in the future. This research can be valuable for land-cover management in the KEW by policy and decision makers.
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| first_indexed | 2024-04-11T21:52:47Z |
| format | Article |
| id | doaj.art-087dd1c629184d6cbeb90aaa4350848a |
| institution | Directory Open Access Journal |
| issn | 2287-0741 2287-075X |
| language | English |
| last_indexed | 2024-04-11T21:52:47Z |
| publishDate | 2021-07-01 |
| publisher | Environmental Research Institute, Chulalongkorn University |
| record_format | Article |
| series | Applied Environmental Research |
| spelling | doaj.art-087dd1c629184d6cbeb90aaa4350848a2022-12-22T04:01:11ZengEnvironmental Research Institute, Chulalongkorn UniversityApplied Environmental Research2287-07412287-075X2021-07-01433Monitoring the Land Cover Changes in Mangrove Areas and Urbanization using Normalized Difference Vegetation Index and Normalized Difference Built-up Index in Krabi Estuary Wetland, Krabi Province, ThailandKatawut Waiyasusri0Faculty of Humanities and Social Sciences, Suan Suandha Rajabhat University, Bangkok, Thailand Krabi Estuary Wetland (KEW) is an outstanding wetland with an estuary environment. At present, the tourism industry has rapidly grown, resulting in the impact of land cover changes. This research aims to assess the changes that have occurred in the KEW from 1999 to 2020 using NDVI and NDBI for monitoring changes in mangrove areas and urbanization in Krabi Province, Thailand. Landsat satellite images in years 1999, 2009 and 2020 were classified by using a band ratio to create land cover maps. The results show that NDVI between 0.41–1.00 clearly shows the mangrove forest area, while NDBI between 0.01–0.40 shows urban and built-up land, and 0.41–1.00 appears as bare land. The NDVI overall accuracy assessment is 82.88%, 97.46% and 88.25% with Kappa values of 0.64, 0.92, and 0.85 for year 1999, 2009 and 2020, respectively. The NDBI overall accuracy assessment is 92.81%, 77.11% and 64% with Kappa values of 0.93, 0.77, and 0.63 for year 1999, 2009 and 2020, respectively. In addition, areas that are sensitive to land-cover change appear around the Chi rat River, Pak Nam Krabi River, and Yuan River, which are tourist areas close to the Krabi and Ao Nang communities. Therefore, it is necessary to speed up the problem solving and find measures to prevent mangrove forest degradation in these 3 mangrove forest areas so that the mangrove forest areas will not decrease rapidly in the future. This research can be valuable for land-cover management in the KEW by policy and decision makers. https://ph01-ohno.tci-thaijo.org/index.php/aer/article/view/242422Krabi Estuary WetlandNormalized Difference Vegetation Index (NDVI)Normalized Difference Built-up Index (NDBI)Mangrove areasUrbanization |
| spellingShingle | Katawut Waiyasusri Monitoring the Land Cover Changes in Mangrove Areas and Urbanization using Normalized Difference Vegetation Index and Normalized Difference Built-up Index in Krabi Estuary Wetland, Krabi Province, Thailand Applied Environmental Research Krabi Estuary Wetland Normalized Difference Vegetation Index (NDVI) Normalized Difference Built-up Index (NDBI) Mangrove areas Urbanization |
| title | Monitoring the Land Cover Changes in Mangrove Areas and Urbanization using Normalized Difference Vegetation Index and Normalized Difference Built-up Index in Krabi Estuary Wetland, Krabi Province, Thailand |
| title_full | Monitoring the Land Cover Changes in Mangrove Areas and Urbanization using Normalized Difference Vegetation Index and Normalized Difference Built-up Index in Krabi Estuary Wetland, Krabi Province, Thailand |
| title_fullStr | Monitoring the Land Cover Changes in Mangrove Areas and Urbanization using Normalized Difference Vegetation Index and Normalized Difference Built-up Index in Krabi Estuary Wetland, Krabi Province, Thailand |
| title_full_unstemmed | Monitoring the Land Cover Changes in Mangrove Areas and Urbanization using Normalized Difference Vegetation Index and Normalized Difference Built-up Index in Krabi Estuary Wetland, Krabi Province, Thailand |
| title_short | Monitoring the Land Cover Changes in Mangrove Areas and Urbanization using Normalized Difference Vegetation Index and Normalized Difference Built-up Index in Krabi Estuary Wetland, Krabi Province, Thailand |
| title_sort | monitoring the land cover changes in mangrove areas and urbanization using normalized difference vegetation index and normalized difference built up index in krabi estuary wetland krabi province thailand |
| topic | Krabi Estuary Wetland Normalized Difference Vegetation Index (NDVI) Normalized Difference Built-up Index (NDBI) Mangrove areas Urbanization |
| url | https://ph01-ohno.tci-thaijo.org/index.php/aer/article/view/242422 |
| work_keys_str_mv | AT katawutwaiyasusri monitoringthelandcoverchangesinmangroveareasandurbanizationusingnormalizeddifferencevegetationindexandnormalizeddifferencebuiltupindexinkrabiestuarywetlandkrabiprovincethailand |