An Assessment of Land Use and Land Cover Changes in Muthupet Mangrove Forest, using Time Series Analysis 1975-2015, Tamilnadu, India
Anthropogenic activities are leads to changing a natural land cover, and consequences are severe to human and environments etc. The present study has examined the Muthupet mangrove forest and its surrounding land-use changes from 1975 to 2015 using the geospatial technology. An assessment of land u...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Department of Geography Education, University of Jember
2022-08-01
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| Series: | Geosfera Indonesia |
| Subjects: | |
| Online Access: | https://jurnal.unej.ac.id/index.php/GEOSI/article/view/28077 |
| _version_ | 1797894812013166592 |
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| author | Annaidasan Krishnan Jaganathan Ramasamy |
| author_facet | Annaidasan Krishnan Jaganathan Ramasamy |
| author_sort | Annaidasan Krishnan |
| collection | DOAJ |
| description | Anthropogenic activities are leads to changing a natural land cover, and consequences are severe to human and environments etc. The present study has examined the Muthupet mangrove forest and its surrounding land-use changes from 1975 to 2015 using the geospatial technology. An assessment of land use and land cover was done at Muthupet mangrove forest which is an occupied the three coastal district of Tamilnadu i.e. Thanjavur, Thiruvarur, and Nagappattinam. The remote sensing (MSS, TM, and OLI) data was adopted to explore the land use and land cover with help of visual image interpretation. The study had justified the results based upon the ground truth verification, and 203 sites were selected for explore the 10 land use categories. An Accuracy Assessment has done based on the KAPPA index for the year 2015 classified image and appraisal of land use change detection from 1975 to 2015 for all the categories. The study revealed that the land use and land cover condition from the 1975 to 2015, for example 1975 water bodies covered an area of about 156.1 km2, and 2015 it has comprised 89.8 km2. An appraisal of land use and land cover clearly is evidence in 2005 entire land use and land cover changed, and reasons for that an influence of the Tsunami. Consequently, Muthupet mangrove forest is one of the important to human and environments, and the present study has exposed that the changes of the mangrove forest, and its impact on to the coastal community. |
| first_indexed | 2024-04-10T07:16:24Z |
| format | Article |
| id | doaj.art-94374f281d4645819b9769ac980d78a1 |
| institution | Directory Open Access Journal |
| issn | 2598-9723 2614-8528 |
| language | English |
| last_indexed | 2024-04-10T07:16:24Z |
| publishDate | 2022-08-01 |
| publisher | Department of Geography Education, University of Jember |
| record_format | Article |
| series | Geosfera Indonesia |
| spelling | doaj.art-94374f281d4645819b9769ac980d78a12023-02-25T08:46:28ZengDepartment of Geography Education, University of JemberGeosfera Indonesia2598-97232614-85282022-08-0172119135An Assessment of Land Use and Land Cover Changes in Muthupet Mangrove Forest, using Time Series Analysis 1975-2015, Tamilnadu, IndiaAnnaidasan Krishnan 0Jaganathan Ramasamy 1Department of Geography, Central University of Tamilnadu, Thiruvarur, IndiaDepartment of Geography, University of Madras, Chennai, India Anthropogenic activities are leads to changing a natural land cover, and consequences are severe to human and environments etc. The present study has examined the Muthupet mangrove forest and its surrounding land-use changes from 1975 to 2015 using the geospatial technology. An assessment of land use and land cover was done at Muthupet mangrove forest which is an occupied the three coastal district of Tamilnadu i.e. Thanjavur, Thiruvarur, and Nagappattinam. The remote sensing (MSS, TM, and OLI) data was adopted to explore the land use and land cover with help of visual image interpretation. The study had justified the results based upon the ground truth verification, and 203 sites were selected for explore the 10 land use categories. An Accuracy Assessment has done based on the KAPPA index for the year 2015 classified image and appraisal of land use change detection from 1975 to 2015 for all the categories. The study revealed that the land use and land cover condition from the 1975 to 2015, for example 1975 water bodies covered an area of about 156.1 km2, and 2015 it has comprised 89.8 km2. An appraisal of land use and land cover clearly is evidence in 2005 entire land use and land cover changed, and reasons for that an influence of the Tsunami. Consequently, Muthupet mangrove forest is one of the important to human and environments, and the present study has exposed that the changes of the mangrove forest, and its impact on to the coastal community.https://jurnal.unej.ac.id/index.php/GEOSI/article/view/28077mangrove foresremote sensinglulcclassificationchange detection |
| spellingShingle | Annaidasan Krishnan Jaganathan Ramasamy An Assessment of Land Use and Land Cover Changes in Muthupet Mangrove Forest, using Time Series Analysis 1975-2015, Tamilnadu, India Geosfera Indonesia mangrove fores remote sensing lulc classification change detection |
| title | An Assessment of Land Use and Land Cover Changes in Muthupet Mangrove Forest, using Time Series Analysis 1975-2015, Tamilnadu, India |
| title_full | An Assessment of Land Use and Land Cover Changes in Muthupet Mangrove Forest, using Time Series Analysis 1975-2015, Tamilnadu, India |
| title_fullStr | An Assessment of Land Use and Land Cover Changes in Muthupet Mangrove Forest, using Time Series Analysis 1975-2015, Tamilnadu, India |
| title_full_unstemmed | An Assessment of Land Use and Land Cover Changes in Muthupet Mangrove Forest, using Time Series Analysis 1975-2015, Tamilnadu, India |
| title_short | An Assessment of Land Use and Land Cover Changes in Muthupet Mangrove Forest, using Time Series Analysis 1975-2015, Tamilnadu, India |
| title_sort | assessment of land use and land cover changes in muthupet mangrove forest using time series analysis 1975 2015 tamilnadu india |
| topic | mangrove fores remote sensing lulc classification change detection |
| url | https://jurnal.unej.ac.id/index.php/GEOSI/article/view/28077 |
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