在牧场,作物和本土巴西塞拉多的蒸发转化测量基于无人机载的多谱传感器
Gabriella Santos Arruda de Lima1, Manuel Eduardo Ferreira2, Jepherson Correia Sales3
1Image Processing and GIS Laboratory (LAPIG), Federal University of Goiás (UFG), Goiânia, GO, Brazil. gabriella.arruda.lima@gmail.com.
Environmental monitoring and assessment
|October 25, 2024
概括
这项研究估计了巴西的蒸发转化率 (ET).
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:
- 巴西的农业,特别是塞拉多生物群,由于长期的干旱,面临着水资源短缺的问题.
- 有效的水资源管理对于可持续农业和保护塞拉多生态系统至关重要.
研究的目的:
- 用遥感和地面方法估计各种作物和土壤覆盖中的蒸发透气 (ET).
- 评估适用于多光谱空中成像的简单蒸发检索算法 (SAFER) 的准确性.
主要方法:
- 利用多谱无人机图像和哨兵卫星数据.
- 综合气象站数据和旋共变量 (EC) 流量塔用于验证.
- 应用了SAFER算法来计算常见豆类,牧场和半树叶季节性森林的ET.
主要成果:
- 在ET估计方面,无人机和卫星数据之间有很强的一致性 (R2 = 0.84).
- 通过EC流量塔测量验证的ET估计.
- 在豆的植被阶段观察到基于UAV的ET和EC之间的良好对应,在早期种植和衰老期间低估.
结论:
- 适用于无人机多光谱成像的SAFER算法提供了一种灵活和按需的ET估计方法.
- 这些发现提高了对水动态的理解,并支持塞拉多地区的可持续农业实践.
- 综合方法对于平衡水资源管理和农业生产至关重要.
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