改善Cucurbita moschata的ETA估计使用基于遥感的FAO-56作物系数在葡萄牙利斯山谷,葡萄牙
Susana Ferreira1, Juan Manuel Sánchez1, José Manuel Gonçalves2
1Instituto de Desarrollo Regional, UCLM Universidad de Castilla-La Mancha, 02071 Albacete, Spain.
Plants (Basel, Switzerland)
|November 13, 2025
概括
葡萄牙的高效水资源管理
科学领域:
- 农业科学 农业科学
- 遥感 遥感 遥感 遥感
- 土壤科学 土壤科学
背景情况:
- 缺水需要有效的农业管理,特别是在像葡萄牙利斯山谷这样的地区.
- 优化作物水的状态和蒸发转化对于农业生产率至关重要.
- 在地中海条件下研究了南瓜 (Cucurbita moschata) 的用水动态.
研究的目的:
- 用现场和遥感数据评估南瓜作物水的状态和蒸发.
- 评估土壤水分含量 (SMC),电导率 (EC) 和Sentinel-2植被指数在水资源管理中的整合.
- 验证一个遥感辅助的FAO-56方法,用于估计实际蒸发转化率 (ETa).
主要方法:
- 在多个土壤深度使用TDR传感器实地测量SMC和EC.
- 获取和处理Sentinel-2图像以获得植被指数 (NDVI,SAVI,EVI,GCI).
- 使用植被指数重新计算ETa,以反映实际作物条件,取代标准FAO-56 Kc值.
主要成果:
- 在上层土壤层中,SMC和EC之间存在强烈的相关性,这表明EC对于近地表湿度监测的实用性.
- 在GreenSeeker®和来自Sentinel-2的NDVI之间观察到可比的时间模式.
- 使用RS辅助植被指数的ETA估计显示与FAO-56方法一致.
- 估计的水生产率 (WP) 为8.32kgm−3和水利用效率 (WUE) 为0.64kgm−3.
结论:
- 将高分辨率遥感与土壤湿度监测相结合,可以提高精确的灌策略.
- 经过验证的RS辅助方法在数据有限的地中海环境中对水资源管理具有实用性.
- 该研究强调了在地中海小农灌下种植南瓜的高用水效率,促进了节水.
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