Scholarlink

<p>Rapid urbanization, industrialization, and population growth have led to significant changes in land use and land cover (LULC) across cities in developing countries, particularly in Bangladesh. This study investigates the LULC changes in Narayanganj District, one of the fastest-growing regions in Bangladesh, over a 20-year period (2000–2020). Using Google Earth Engine (GEE) and the Random Forest (RF) classifier, Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images were analyzed to classify five major LULC types: urban, bare land, water bodies, vegetation, and cropland, with an overall accuracy of 97.8%, 100%, 95.8%, 97.8%, and 96.4% for the years 2000, 2005, 2010, 2015, and 2020, respectively. The study demonstrates a marked increase in urban areas, with an 88.06% rise, accompanied by a 70.77% reduction in bare land and a 36.72% decrease in water bodies. Vegetation showed a significant growth of 74.64%, possibly due to reforestation efforts, natural regrowth of abandoned lands, or conversion of lower-intensity agricultural land. Meanwhile, cropland experienced minor changes, maintaining its area over time. The results highlight the rapid pace of urbanization, driven by Narayanganj’s proximity to Dhaka and its role as an economic hub. This expansion poses environmental challenges, such as the loss of critical land resources and the reduction of water bodies, which could exacerbate urban heat island effects and water scarcity issues. The analysis of urban expansion and its encroachment on agricultural and natural landscapes stresses the urgent need for sustainable land-use planning to balance urban growth with environmental conservation. The study offers a novel approach by leveraging GEE’s cloud-computing capabilities for large-scale LULC monitoring, making it an efficient and scalable tool for analyzing land cover changes in rapidly urbanizing areas. These findings contribute valuable insights for policymakers and urban planners, ensuring sustainable development while addressing environmental and socio-economic concerns. This methodology can be extended to other regions, facilitating informed decision-making in land management and urban planning globally.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Identifying land use land cover change using google earth engine: a case study of Narayanganj district, Bangladesh

  • 期刊论文

  • 发表日期：

    2025年1月10日

查看全文
  • S. M. Nazmul Haque,
  • A S M Shanawaz Uddin

摘要

Rapid urbanization, industrialization, and population growth have led to significant changes in land use and land cover (LULC) across cities in developing countries, particularly in Bangladesh. This study investigates the LULC changes in Narayanganj District, one of the fastest-growing regions in Bangladesh, over a 20-year period (2000–2020). Using Google Earth Engine (GEE) and the Random Forest (RF) classifier, Landsat 7 Enhanced Thematic Mapper Plus (ETM+) images were analyzed to classify five major LULC types: urban, bare land, water bodies, vegetation, and cropland, with an overall accuracy of 97.8%, 100%, 95.8%, 97.8%, and 96.4% for the years 2000, 2005, 2010, 2015, and 2020, respectively. The study demonstrates a marked increase in urban areas, with an 88.06% rise, accompanied by a 70.77% reduction in bare land and a 36.72% decrease in water bodies. Vegetation showed a significant growth of 74.64%, possibly due to reforestation efforts, natural regrowth of abandoned lands, or conversion of lower-intensity agricultural land. Meanwhile, cropland experienced minor changes, maintaining its area over time. The results highlight the rapid pace of urbanization, driven by Narayanganj’s proximity to Dhaka and its role as an economic hub. This expansion poses environmental challenges, such as the loss of critical land resources and the reduction of water bodies, which could exacerbate urban heat island effects and water scarcity issues. The analysis of urban expansion and its encroachment on agricultural and natural landscapes stresses the urgent need for sustainable land-use planning to balance urban growth with environmental conservation. The study offers a novel approach by leveraging GEE’s cloud-computing capabilities for large-scale LULC monitoring, making it an efficient and scalable tool for analyzing land cover changes in rapidly urbanizing areas. These findings contribute valuable insights for policymakers and urban planners, ensuring sustainable development while addressing environmental and socio-economic concerns. This methodology can be extended to other regions, facilitating informed decision-making in land management and urban planning globally.