Browsing by Author "Adnan, Jannatul"

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    Ecological imbalance on the area of Shapahar Upazila, Naogaon district over three decades (1993÷2023) and prediction trend next ten years: a GIS approach

    (National Research and Development Institute for Industrial Ecology IND-ECOIND , 2024-12-23)
    Hossain, Nazmul
    ;
    Hassan, Ahammodullah
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    Adnan, Jannatul
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    Jahin Mim, Tasmia
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    Hossain, Arman
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    Molla, Ariful
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    Hossain, Noor
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    Jahan, Habib Ibne
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    Al Mamun, Abdulla
    This study analyzes land cover changes over three decades (1993-2023) in Shapahar Upazila using Geographic Information Systems (GIS) and remote sensing techniques. The analysis reveals significant shifts in vegetation, water bodies, bare soil, and settlement areas, correlating these changes with shifts in temperature and precipitation. Predictions for the next ten years (2024-2033) indicate a significant increase in vegetation cover. The findings highlight the importance of sustainable land management practices and policies to mitigate ecological imbalances. Utilizing GIS strategies, remote sensing statistics, and meteorological datasets, we examine the converting patterns of four key land cover sorts: water bodies, vegetation area, bare soil, and settlement area. This paper also links Land use and Land cover (LULC) with other temperature and precipitation facts to understand the ability correlations and conjuring factors of LULC change. The analysis suggests that LULC has modified in numerous ways over time, including urbanization developments, flora enlargement, changes within the extent of water bodies, and corresponding adjustments in temperature and moisture patterns. Combining an analysis of specific percent changes in land cover types between consecutive years with the calculation of temperature and precipitation changes helps to understand the relationship between multiple environmental parameters influencing the landscape of Shapahar Upazila. Our study provides additional information regarding the changes in environmental conditions and landscape dynamics in the region and gives contextual information to help land managers, stakeholders, and policymakers understand the current trends in the area and develop climate mitigation and adaptation policies for sustainable development.
      14  10
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    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

    (National Research and Development Institute for Industrial Ecology IND-ECOIND , 2024-12-23)
    Hossain, Nazmul
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    Adnan, Jannatul
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    Jahin Mim, Tasmia
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    Binte Zohir, Ayesha
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    Ahmad, Iftakhar
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    Zaman, Ahmadullah
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    Hasan, Mehedi
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    Hossain, Noor
    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.
      21  14