评估地形变量对LULC模式的影响,使用印度Curachandpur地区的多项物流回归
Letminthang Baite1, Niranjan Bhattacharjee2
1Department of Geography, Gauhati University, Guwahati, 781014, Assam, India. khokounmimin@gmail.com.
Environmental monitoring and assessment
|August 7, 2025
概括
地形对土地使用和土地覆盖 (LULC) 模式产生重大影响. 这项研究发现,斜率是最有影响力的地形变量,推动了LULC变化和丘陵地区的集群.
科学领域:
- 环境科学 环境科学
- 地理 地理 地理 地理.
- 遥感 遥感 遥感 遥感
背景情况:
- 地形条件是土地利用和土地覆盖 (LULC) 分布的关键决定因素.
- 了解地形和LULC之间的相互作用对于有效的土地管理和保护规划至关重要.
研究的目的:
- 为了调查地形变量与楚拉德普尔区的LULC模式之间的关系.
- 评估地形对LULC分布和随时间变化的影响 (2004-2024年).
主要方法:
- 在Landsat图像上使用监督分类 (随机森林) 生成LULC地图.
- 从SRTM DEM数据中导出地形变量 (高度,斜率,角度,TWI).
- 在RStudio.com中使用多项逻辑回归 (MLR) 分析了地形-LULC关系.
主要成果:
- 斜率成为影响LULC模式的最重要的地形变量.
- 该MLR模型实现了中等的预测准确度 (50.93%,卡帕0.3642).
- 建筑面积 (91.70%) 显著扩大,森林/农业用地减少,与人口增长有关.
结论:
- 存在强烈的地形-LULC关系,LULC类基于地形条件进行集群.
- 遥感和地理空间工具对于环境研究和地形规划非常有价值.
- 这些发现支持保护优先级和在丘陵地形中确定生态敏感区域.
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