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基于山区的可靠性分析,基于不同土地利用扩张的定量法和基于场景的预测
Fang Zou1, Yingling Hu2, Meiqin Long3
1School of Architecture, Changsha University of Science and Technology, 45 Chiling Road, Tianxin District, Changsha, 410076, China. zoufang@csust.edu.cn.
概括
在山区,可持续的土地利用规划至关重要. 这项研究开发了土地扩张的预测框架,揭示了城市和农村发展的独特模式,以指导可持续的城市增长.
科学领域:
- 环境科学 环境科学
- 城市规划 城市规划
- 地理信息系统 地理信息系统
背景情况:
- 在山区快速,不受管制的建筑用地扩张对城市发展构成重大威胁.
- 这些地区可持续土地开发的科学指导是一个关键的研究领域.
研究的目的:
- 开发一个新的理论框架来预测山区的土地扩张.
- 在典型的中国山区,对土地利用和土地覆盖面 (LULC) 扩张模式进行定量分析.
- 为土地扩建规划提供科学指导,以防止资源浪费.
主要方法:
- 利用2000-2019年的DMSP/OLS-Landsat 7数据进行了校正,以进行可靠的LULC分析.
- 应用了补丁生成土地利用模拟 (PLUS) 模型来预测未来的LULC场景.
- 使用多源空间时间数据校正验证了LULC识别可靠性.
主要成果:
- 通过数据校正实现了超过0.97的LULC识别可靠性.
- 确定了不同的扩张规律:工业,城市和交通用地的扩张;农村生活用地的封锁类型.
- 与以人文主义为导向的场景相比,在以自然为导向的场景中观察到明显更大的土地扩张 (199.33 hm2).
结论:
- 该研究为分析和预测山区LULC提供了强大的框架.
- 这些发现为土地扩张规划,优化资源分配和防止浪费提供了科学指导.
- 为复杂的山区环境 LULC 识别可靠性方法和预测理论做出贡献.
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