相关实验视频
Updated: Jul 15, 2025

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In Situ Soil Moisture Sensors in Undisturbed Soils
Published on: November 18, 2022
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通过监测Sentinel-1和Sentinel-2数据,评估灌做法和土壤湿度如何影响作物生长
Gaylan Rasul Faqe Ibrahim1,2, Azad Rasul3, Haidi Abdullah4
1Geography Department, Faculty of Arts, Soran University, Soran, Kurdistan Region, 44008, Iraq. gailan.faqe@soran.edu.iq.
Environmental monitoring and assessment
|October 2, 2023
概括
这项研究使用卫星数据监测土壤水分和植被健康状况,确定最佳灌时间和地点. 这种方法提高了作物生长,并促进了可持续农业,特别是在缺水地区.
科学领域:
- 农业科学 农业科学
- 遥感 遥感 遥感 遥感
- 水文学的水文学
背景情况:
- 有效的灌对于作物生产率和水资源管理至关重要.
- 监测土壤水分和植被状况是优化灌的关键.
- 卫星遥感为农业用水管理提供了可扩展的解决方案.
研究的目的:
- 开发和验证使用光学和微波卫星数据评估实时水供应的方法.
- 确定最佳的灌时间和地点,以提高作物生长.
- 为可持续发展的农业发展和节水做出贡献.
主要方法:
- 使用了光谱植被参数 (Sentinel-2),土壤水分 (Sentinel-1),蒸发透气和表面温度 (Landsat-8).
- 综合卫星数据,现场测量水含量和灌时间.
- 分析了像NDVI和NDMI这样的植被指数对水分水平的敏感性.
主要成果:
- 规范差异植被指数 (NDVI) 和规范差异湿度指数 (NDMI) 显示出对水分含量的高度敏感性.
- 这些指数在确定最佳灌时间和空间应用方面被证明是有效的.
- 综合方法成功地绘制了用于灌管理的水资源供应.
结论:
- 基于卫星的植被指数监测是精确灌的可靠方法.
- 这项研究通过优化用水和提高作物产量来支持可持续农业.
- 这些发现特别适用于缺水地区,有助于有效管理资源.
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