基于MODIS的时空逆转和驱动因素分析,分析了2000年至2024年新疆无云的植被覆盖面
He Yang1, Min Xiong2, Yongxiang Yao1
1School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China.
Sensors (Basel, Switzerland)
|April 26, 2025
概括
新疆的新疆,就是新疆.
科学领域:
- 地球和环境科学 地球和环境科学
- 生态生态学 生态生态学
- 遥感 遥感 遥感 遥感
背景情况:
- 新疆面临生态退化,影响国家安全和可持续发展.
- 之前关于植被覆盖的研究缺乏最新数据和全面的驱动因素分析.
- 区域生态保护需要对植被动态的最新理解.
研究的目的:
- 调查从2000年到2024年的新疆部分植被覆盖 (FVC) 动态.
- 分析影响FVC变化的关键驱动因素.
- 开发一种用于预测未来植被趋势的新方法.
主要方法:
- 使用谷歌地球引擎 (GEE) 与MODIS数据用于FVC产品生成.
- 采用时空空间统计分析,优化空间缩放,趋势分析和地理探测器 (GeoDetector).
- 整合Theil-Sen中位数趋势分析与Hurst指数用于未来趋势预测.
主要成果:
- FVC显示了一个南北梯度,在北方更高.
- 金融公司的整体波动上升趋势,波动性增加,稳定性下降.
- 对FVC分析的最佳空间尺度确定为15公里.
- 土地利用,植被和土壤类型是关键的驱动因素 (>20%的解释力).
结论:
- 新疆的植被覆盖呈现出不同的空间模式和时间趋势.
- 土地使用,植被和土壤类型显著影响FVC.
- 拟议的趋势预测方法增强了对新疆未来植被动态的理解.
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