Scholarlink

<p>Monitoring land use and land cover (LULC) helps to understand urbanization patterns, deforestation, agricultural growth, and natural resources, enabling informed decision-making for sustainable development and environmental preservation. This study investigates an innovative approach to examine land use and land cover in semi-arid regions, including water, soil, rocks, vegetation, forests, and urban environments and to project LULC changes from 2032 to 2056 using DPLULC data from 2016 to 2024. A three-dimensional distribution plot was created to analyze the synergistic effects of soil-water and water-vegetation interactions. Thereafter, the triangulation theorem was utilized to evaluate the influence of land cover characteristics on dual-polarimetric SAR data. The dual polarimetric land use and land cover (DPLULC) model showed an acceptable relationship with the target features soil (r-0.40), rock (r-0.50), vegetation (r-0.51), forest (r-0.41), and urban environments (r-0.62) from the NDVI indicating that interactions enhanced the existence of diverse materials responsive to SAR data at the C-band frequency. A temporal pattern, prospective LULC states were predicted for 2032, 2040, 2048, and 2056. Finally, the DPLULC will be crucial in enabling efficient land-use planning and guaranteeing sustainable environmental management and an alternative to the optical remote sensing model.</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

Monitoring and Projecting Land Use and Land Cover Dynamics Using Dual-Polarimetric SAR Data: A Case Study from 2016 to 2056

  • 期刊论文

  • 发表日期：

    2026年4月18日

查看全文
  • Vijayasurya Krishnan,
  • A. Rajesh,
  • Rashmi Gopalan

摘要

Monitoring land use and land cover (LULC) helps to understand urbanization patterns, deforestation, agricultural growth, and natural resources, enabling informed decision-making for sustainable development and environmental preservation. This study investigates an innovative approach to examine land use and land cover in semi-arid regions, including water, soil, rocks, vegetation, forests, and urban environments and to project LULC changes from 2032 to 2056 using DPLULC data from 2016 to 2024. A three-dimensional distribution plot was created to analyze the synergistic effects of soil-water and water-vegetation interactions. Thereafter, the triangulation theorem was utilized to evaluate the influence of land cover characteristics on dual-polarimetric SAR data. The dual polarimetric land use and land cover (DPLULC) model showed an acceptable relationship with the target features soil (r-0.40), rock (r-0.50), vegetation (r-0.51), forest (r-0.41), and urban environments (r-0.62) from the NDVI indicating that interactions enhanced the existence of diverse materials responsive to SAR data at the C-band frequency. A temporal pattern, prospective LULC states were predicted for 2032, 2040, 2048, and 2056. Finally, the DPLULC will be crucial in enabling efficient land-use planning and guaranteeing sustainable environmental management and an alternative to the optical remote sensing model.