水质的空间图案和遥感指数来自无人机的多光谱图像,通过灌池
S Hong1,2, B J Morgan1, M D Stocker1
1Environmental Microbial and Food Safety Laboratory, USDA-ARS, Beltsville, MD, USA.
Heliyon
|March 4, 2025
概括
无人机 (UAV) 拍摄的图像显示了灌池水质的持续空间模式. 这些使用遥感指数检测到的模式与关键的水质变量相关,有助于监测工作.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 农业科学 农业科学
背景情况:
- 灌水质量对于农场的可持续性和公共安全至关重要.
- 无人驾驶飞行器 (UAV) 为监测地表水质提供了一个有价值的方法.
- 灌池在水质变量 (WQV) 中表现出持久的空间模式.
研究的目的:
- 为了确定是否存在持久的空间模式在基于无人机的灌池的多光谱图像中.
- 评估这些空间模式是否与WQV相关.
- 评估遥感指数对水质监测的有用性.
主要方法:
- 采集了现场的水样,并使用无人机对一个农场池进行了多光谱成像.
- 在网格上测量了17个WQV,并计算了24个遥感指数.
- 使用平均相对差异方法和斯皮尔曼相关性分析空间模式.
主要成果:
- 水质的空间模式与银行附近,水流,风和活动等因素有关.
- 在度,光合成色素,有机碳和特定遥感指数 (AFAI,TCARI,TCI,MCARI) 之间观察到高相关性 (>0.8).
- 这就是E.I.E.的意思. 大肠杆菌的模式与红波长反射率相关.
结论:
- 无人机衍生的遥感指数中的持久空间模式反映了灌池水质.
- 遥感指数可以有效监测WQV,改善勘测设计和水资源管理.
- 基于无人机的多谱成像为了解和管理灌池生态系统提供了强大的工具.
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