使用混合GIS远程传感深度学习方法,估计高平原水层中中心旋转灌的变化,2001年至2023年
Todd D Fagin1,2, Jacqueline M Vadjunec3, Lanah M Hinsdale3
1Center for Spatial Analysis, University of Oklahoma, 3100 Monitor Ave. Suite 180, Norman, OK, 73019, USA. tfagin@ou.edu.
Environmental monitoring and assessment
|February 17, 2026
概括
自2001年以来,中央枢纽灌 (CPI) 在美国大平原地区扩大了40%,增加了灌土地,但也耗尽了地下水资源. 监测这些变化对于可持续的水资源管理至关重要.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
背景情况:
- 自20世纪50年代以来,中心枢纽灌 (CPI) 显著增加了美国高原的灌土地.
- 在提高粮食安全的同时,CPI有助于地下水耗尽,威胁到区域农业.
- 地下水是一个共同的资源,具有复杂的管辖权和监管挑战.
研究的目的:
- 开发一个空间显式模型来跟踪CPI范围随时间的变化.
- 解决传统方法在监测大型地理区域CPI动态方面的局限性.
- 为持续监测CPI扩张及其对地下水资源的影响提供框架.
主要方法:
- 采用混合GIS远程传感方法,整合了来自谷歌地球引擎的多年Landsat图像.
- 在ArcGIS中使用Esri的深度学习框架来快速估计CPI范围.
- 该研究重点关注高平原水层地区,分析了2001年至2023年的数据.
主要成果:
- 从2001年到2023年,美国大平原地区的CPI范围增加了约40%,从2001年到2023年.
- 根据CPI的总灌面积从380万公增长到530万公.
- 开发的方法在估计CPI范围时实现了~89.79%的平均整体准确性.
结论:
- 该研究展示了一种实用且准确的方法,用于使用易于获得的数据和深度学习工具监测CPI变化.
- 调查结果强调了CPI上升的显著趋势,强调了应对地下水枯竭的紧迫性.
- 开发的框架支持持续的监测工作,这对于半干旱地区的可持续水资源管理至关重要.
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