Land use land cover changes from 2003 to 2023 using Remote Sensing and GIS techniques in Niamotpur Upazila with a predictive study for the next decade
This study aims to examine the temporal dynamics of Niamotpur Upazila, Naogaon District, focusing on Land Use Land cover (LULC) changes over thirty years (2003,2013, and 2023) and providing predictive insights for the next decade (2024÷2033). Utilizing Geographic Information System (GIS) techniques,...
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| Format: | Article |
| Language: | English |
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Estfalia
2024-12-01
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| Series: | Romanian Journal of Ecology & Environmental Chemistry |
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| Online Access: | http://www.rjeec.ro/Read/260?id=Land%20use%20land%20cover%20changes%20from%202003%20to%202023%20using%20Remote%20Sensing%20and%20GIS%20techniques%20in%20Niamotpur%20Upazila%20with%20a%20predictive%20study%20for%20the%20next%20decade |
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| author | Nazmul Hossain Jannatul Adnan Tasmia Jahin Mim Ayesha Binte Zohir Iftakhar Ahmad Ahmadullah Zaman Mehedi Hasan Noor Hossain |
| author_facet | Nazmul Hossain Jannatul Adnan Tasmia Jahin Mim Ayesha Binte Zohir Iftakhar Ahmad Ahmadullah Zaman Mehedi Hasan Noor Hossain |
| author_sort | Nazmul Hossain |
| collection | DOAJ |
| description | This study aims to examine the temporal dynamics of Niamotpur Upazila, Naogaon District, focusing on Land Use Land cover (LULC) changes over thirty years (2003,2013, and 2023) and providing predictive insights for the next decade (2024÷2033). Utilizing Geographic Information System (GIS) techniques, remote sensing data, and meteorological datasets, we categorize the landscape into five primary land cover types: water bodies, vegetation cover, bare soil, drought-prone areas, and settlement areas. This study investigates the relationship between climatic factors and LULC changes, particularly examining the impacts of precipitation and temperature fluctuations on drought-prone areas. From 2003 to 2023 bare soil consistently decreased, while deep vegetation significantly increased, indicating improved land health. Urban areas and light vegetation peaked in 2013 but declined by 2023. Water bodies decreased until 2013, then increased by 2023. Drought-prone areas saw a drastic decrease in extreme drought and a substantial increase in no-risk areas. Climatic data showed minor fluctuations in average temperatures and precipitation: the average maximum temperature slightly decreased, while minimum temperatures and precipitation had small variations. Predictions for the next decade forecast a gradual rise in the average maximum temperature from 29.758 °C in 2024 to 29.830 °C in 2033. The findings underscore the positive trend of increasing deep vegetation and reducing bare soil, enhancing the region’s ecological health. To address these trends the study offers practical recommendations for policymakers, stakeholders, and local communities. Ultimately, this study gives substantial insights into the relations between the dynamic alterations of LULC and climatic factors and presents a way of achieving a better future environment for Niamotpur Upazila. |
| format | Article |
| id | doaj-art-fee358db1f4e4c678b287ed3d1f4c511 |
| institution | Kabale University |
| issn | 2668-5418 2668-8530 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Estfalia |
| record_format | Article |
| series | Romanian Journal of Ecology & Environmental Chemistry |
| spelling | doaj-art-fee358db1f4e4c678b287ed3d1f4c5112025-01-29T12:02:10ZengEstfaliaRomanian Journal of Ecology & Environmental Chemistry2668-54182668-85302024-12-0162294210.21698/rjeec.2024.203Land use land cover changes from 2003 to 2023 using Remote Sensing and GIS techniques in Niamotpur Upazila with a predictive study for the next decadeNazmul Hossain0Jannatul Adnan1Tasmia Jahin Mim2Ayesha Binte Zohir3Iftakhar Ahmad4Ahmadullah Zaman5Mehedi Hasan6Noor Hossain7 Stamford University, BangladeshChowmuhani Government Saleh Ahmed College, BangladeshBRAC University, BangladeshBUP, BangladeshNational University Gazipur, BangladeshKhulna University of Engineering and Technology, BangladeshChittagong University of Engineering & Technology, BangladeshUniversity of Dhaka, BangladeshThis study aims to examine the temporal dynamics of Niamotpur Upazila, Naogaon District, focusing on Land Use Land cover (LULC) changes over thirty years (2003,2013, and 2023) and providing predictive insights for the next decade (2024÷2033). Utilizing Geographic Information System (GIS) techniques, remote sensing data, and meteorological datasets, we categorize the landscape into five primary land cover types: water bodies, vegetation cover, bare soil, drought-prone areas, and settlement areas. This study investigates the relationship between climatic factors and LULC changes, particularly examining the impacts of precipitation and temperature fluctuations on drought-prone areas. From 2003 to 2023 bare soil consistently decreased, while deep vegetation significantly increased, indicating improved land health. Urban areas and light vegetation peaked in 2013 but declined by 2023. Water bodies decreased until 2013, then increased by 2023. Drought-prone areas saw a drastic decrease in extreme drought and a substantial increase in no-risk areas. Climatic data showed minor fluctuations in average temperatures and precipitation: the average maximum temperature slightly decreased, while minimum temperatures and precipitation had small variations. Predictions for the next decade forecast a gradual rise in the average maximum temperature from 29.758 °C in 2024 to 29.830 °C in 2033. The findings underscore the positive trend of increasing deep vegetation and reducing bare soil, enhancing the region’s ecological health. To address these trends the study offers practical recommendations for policymakers, stakeholders, and local communities. Ultimately, this study gives substantial insights into the relations between the dynamic alterations of LULC and climatic factors and presents a way of achieving a better future environment for Niamotpur Upazila.http://www.rjeec.ro/Read/260?id=Land%20use%20land%20cover%20changes%20from%202003%20to%202023%20using%20Remote%20Sensing%20and%20GIS%20techniques%20in%20Niamotpur%20Upazila%20with%20a%20predictive%20study%20for%20the%20next%20decadelulcadaptive strategiesniamotpur upazilagisremote sensing dataland use efficiencymeteorological datasetssustainable development projectsinfrastructure development |
| spellingShingle | Nazmul Hossain Jannatul Adnan Tasmia Jahin Mim Ayesha Binte Zohir Iftakhar Ahmad Ahmadullah Zaman Mehedi Hasan Noor Hossain Land use land cover changes from 2003 to 2023 using Remote Sensing and GIS techniques in Niamotpur Upazila with a predictive study for the next decade Romanian Journal of Ecology & Environmental Chemistry lulc adaptive strategies niamotpur upazila gis remote sensing data land use efficiency meteorological datasets sustainable development projects infrastructure development |
| title | Land use land cover changes from 2003 to 2023 using Remote Sensing and GIS techniques in Niamotpur Upazila with a predictive study for the next decade |
| title_full | Land use land cover changes from 2003 to 2023 using Remote Sensing and GIS techniques in Niamotpur Upazila with a predictive study for the next decade |
| title_fullStr | Land use land cover changes from 2003 to 2023 using Remote Sensing and GIS techniques in Niamotpur Upazila with a predictive study for the next decade |
| title_full_unstemmed | Land use land cover changes from 2003 to 2023 using Remote Sensing and GIS techniques in Niamotpur Upazila with a predictive study for the next decade |
| title_short | Land use land cover changes from 2003 to 2023 using Remote Sensing and GIS techniques in Niamotpur Upazila with a predictive study for the next decade |
| title_sort | land use land cover changes from 2003 to 2023 using remote sensing and gis techniques in niamotpur upazila with a predictive study for the next decade |
| topic | lulc adaptive strategies niamotpur upazila gis remote sensing data land use efficiency meteorological datasets sustainable development projects infrastructure development |
| url | http://www.rjeec.ro/Read/260?id=Land%20use%20land%20cover%20changes%20from%202003%20to%202023%20using%20Remote%20Sensing%20and%20GIS%20techniques%20in%20Niamotpur%20Upazila%20with%20a%20predictive%20study%20for%20the%20next%20decade |
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