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, 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.

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Publication Details

Journal
Romanian Journal of Ecology & Environmental Chemistry
Published
2024-12-23
DOI
https://doi.org/10.21698/rjeec.2024.203
Primary Topic
Remote Sensing in Agriculture
Type
article
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article

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

Nazia Hossain, Md Nazmul Hossain, Izhar Ahmad, Jannatul Adnan et al.
Romanian Journal of Ecology & Environmental Chemistry
Remote Sensing in Agriculture
article

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

Nazia Hossain, Md Nazmul Hossain, Izhar Ahmad, Jannatul Adnan, Mehedi Hasan, A.K.M. Mostafa Zaman, Tasmia Jahin Mim, Ayesha Binte Zohir
article en

Abstract

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.

Romanian Journal of Ecology & Environmental ChemistryVol. 6(2)
Openalex Percentile: Top 75%
Remote Sensing in Agriculture
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