Leveraging Landsat Imagery and Support Vector Machine for Land Use/Land Cover Change Detection: A Case Study of the Panam River Watershed
This study investigates land cover/land use (LULC) changes within the Panam River Watershed between 2011 and 2023. Leveraging freely available Landsat imagery and geospatial technologies like remote sensing and GIS, the research analyzes four LULC classes: settlement, waterbodies, agricultural land,...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2024-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/126/e3sconf_iccmes2024_01003.pdf |
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| author | Memon Akil Shah Nirav Patel Yogesh |
| author_facet | Memon Akil Shah Nirav Patel Yogesh |
| author_sort | Memon Akil |
| collection | DOAJ |
| description | This study investigates land cover/land use (LULC) changes within the Panam River Watershed between 2011 and 2023. Leveraging freely available Landsat imagery and geospatial technologies like remote sensing and GIS, the research analyzes four LULC classes: settlement, waterbodies, agricultural land, and wasteland. A supervised classification approach using Support Vector Machines (SVM) within ArcGIS software is employed to detect land cover for both years. The analysis reveals significant changes over the twelve-year period. Settlements and wastelands experienced increases of 2.3% and 9%, respectively. Conversely, waterbodies and agricultural land exhibited declines of 1.95% and 9.38%, respectively. The observed increase in settlements and wastelands, coupled with the decrease in waterbodies and agricultural land, raises concerns about potential environmental within the Panam River Watershed and raise important considerations for sustainable land management practices. |
| format | Article |
| id | doaj-art-acbe2a5d2b5c46efa8bda82e66753186 |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-acbe2a5d2b5c46efa8bda82e667531862024-12-06T10:16:10ZengEDP SciencesE3S Web of Conferences2267-12422024-01-015960100310.1051/e3sconf/202459601003e3sconf_iccmes2024_01003Leveraging Landsat Imagery and Support Vector Machine for Land Use/Land Cover Change Detection: A Case Study of the Panam River WatershedMemon Akil0Shah Nirav1Patel Yogesh2Sankalchand Patel College of Engineering, Sankalchand Patel UniversitySankalchand Patel College of Engineering, Sankalchand Patel UniversitySwami Sachchidanand Polytechnic College, Sankalchand Patel UniversityThis study investigates land cover/land use (LULC) changes within the Panam River Watershed between 2011 and 2023. Leveraging freely available Landsat imagery and geospatial technologies like remote sensing and GIS, the research analyzes four LULC classes: settlement, waterbodies, agricultural land, and wasteland. A supervised classification approach using Support Vector Machines (SVM) within ArcGIS software is employed to detect land cover for both years. The analysis reveals significant changes over the twelve-year period. Settlements and wastelands experienced increases of 2.3% and 9%, respectively. Conversely, waterbodies and agricultural land exhibited declines of 1.95% and 9.38%, respectively. The observed increase in settlements and wastelands, coupled with the decrease in waterbodies and agricultural land, raises concerns about potential environmental within the Panam River Watershed and raise important considerations for sustainable land management practices.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/126/e3sconf_iccmes2024_01003.pdf |
| spellingShingle | Memon Akil Shah Nirav Patel Yogesh Leveraging Landsat Imagery and Support Vector Machine for Land Use/Land Cover Change Detection: A Case Study of the Panam River Watershed E3S Web of Conferences |
| title | Leveraging Landsat Imagery and Support Vector Machine for Land Use/Land Cover Change Detection: A Case Study of the Panam River Watershed |
| title_full | Leveraging Landsat Imagery and Support Vector Machine for Land Use/Land Cover Change Detection: A Case Study of the Panam River Watershed |
| title_fullStr | Leveraging Landsat Imagery and Support Vector Machine for Land Use/Land Cover Change Detection: A Case Study of the Panam River Watershed |
| title_full_unstemmed | Leveraging Landsat Imagery and Support Vector Machine for Land Use/Land Cover Change Detection: A Case Study of the Panam River Watershed |
| title_short | Leveraging Landsat Imagery and Support Vector Machine for Land Use/Land Cover Change Detection: A Case Study of the Panam River Watershed |
| title_sort | leveraging landsat imagery and support vector machine for land use land cover change detection a case study of the panam river watershed |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/126/e3sconf_iccmes2024_01003.pdf |
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