Scholarlink

<p>Agricultural land systems in peri-urban regions are undergoing rapid transformation under demographic pressure and urban expansion, thereby reshaping cropping stability and food security. This study investigates LULC change and cropping-pattern transitions in the Murshidabad–Jiaganj Block, West Bengal, from 1990 to 2021 using multi-season Landsat imagery. Image preprocessing involved FLAASH atmospheric correction, followed by supervised Maximum Likelihood Classification (MLC) using 1,200 training samples per epoch. Accuracy assessment was performed using 291 stratified reference points, achieving overall accuracies of 83.45–86.23% and Kappa coefficients of 0.83–0.85, confirming strong classification reliability. Seasonal cropland layers (Rabi, Zaid, Kharif, and Winter) were derived using phenology-guided NDVI thresholds and mapped to cropping systems through logical overlays distinguishing monocropping, double cropping, triple cropping, and multi-cropping. Pixel-based change matrices quantified land transitions, while Pearson correlation analysis tested statistical associations between population pressure, cropland conversion and cropping-system stability (<i>p</i> &lt; 0.05). Results reveal major farmland restructuring: 17.06% of non-agricultural land transitioned to cropland, whereas 20.97% of cropland was diverted to other LULC categories, and only 11.63% remained unchanged. Built-up expansion became the dominant driver of cropland contraction, while vegetation recovery partially compensated for losses. Population density strongly correlated with cropland reduction (<i>r</i> = 0.98) and significant declines in mono- and triple-cropping (<i>r</i> = − 0.96 and <i>r</i> = − 0.85), whereas the impact on multi-cropping was minor. The study demonstrates that LULC alteration directly modifies cropping intensity and spatial combinations. Strengthening agricultural land protection, irrigation reliability and crop-rotation planning is essential for ensuring long-term farming sustainability in land-competitive environments.</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

Spatio-Temporal Assessment of Land Cover Change and Cropping Pattern Variation Using Cloud-Based Earth Observation Analytics

  • 期刊论文

  • 发表日期：

    2026年4月6日

查看全文
  • Lal Mohammad,
  • Jatisankar Bandyopadhyay,
  • Ismail Mondal,
  • Hamad Ahmed Altuwaijri,
  • Sarbhanu Khatun,
  • Mukhiddin Juliev

摘要

Agricultural land systems in peri-urban regions are undergoing rapid transformation under demographic pressure and urban expansion, thereby reshaping cropping stability and food security. This study investigates LULC change and cropping-pattern transitions in the Murshidabad–Jiaganj Block, West Bengal, from 1990 to 2021 using multi-season Landsat imagery. Image preprocessing involved FLAASH atmospheric correction, followed by supervised Maximum Likelihood Classification (MLC) using 1,200 training samples per epoch. Accuracy assessment was performed using 291 stratified reference points, achieving overall accuracies of 83.45–86.23% and Kappa coefficients of 0.83–0.85, confirming strong classification reliability. Seasonal cropland layers (Rabi, Zaid, Kharif, and Winter) were derived using phenology-guided NDVI thresholds and mapped to cropping systems through logical overlays distinguishing monocropping, double cropping, triple cropping, and multi-cropping. Pixel-based change matrices quantified land transitions, while Pearson correlation analysis tested statistical associations between population pressure, cropland conversion and cropping-system stability (p < 0.05). Results reveal major farmland restructuring: 17.06% of non-agricultural land transitioned to cropland, whereas 20.97% of cropland was diverted to other LULC categories, and only 11.63% remained unchanged. Built-up expansion became the dominant driver of cropland contraction, while vegetation recovery partially compensated for losses. Population density strongly correlated with cropland reduction (r = 0.98) and significant declines in mono- and triple-cropping (r = − 0.96 and r = − 0.85), whereas the impact on multi-cropping was minor. The study demonstrates that LULC alteration directly modifies cropping intensity and spatial combinations. Strengthening agricultural land protection, irrigation reliability and crop-rotation planning is essential for ensuring long-term farming sustainability in land-competitive environments.