Suppr超能文献

基于无人机载多光谱传感器的牧场、作物和巴西原生塞拉多蒸散测量。

Evapotranspiration measurements in pasture, crops, and native Brazilian Cerrado based on UAV-borne multispectral sensor.

机构信息

Image Processing and GIS Laboratory (LAPIG), Federal University of Goiás (UFG), Goiânia, GO, Brazil.

Department of Geography, Federal University of Rondonópolis, Rondonópolis, MT, Brazil.

出版信息

Environ Monit Assess. 2024 Oct 25;196(11):1105. doi: 10.1007/s10661-024-13224-7.

Abstract

In Brazil, agriculture consumes most of the available freshwater, especially in the Cerrado biome, where the rain cycle is marked by long periods of drought. This study, conducted at the Brazilian Agricultural Research Corporation (Embrapa) Research Corporation unit in Santo Antônio de Goiás, Goiás, Brazil, estimated evapotranspiration (ET) in different crops and soil cover. Using multispectral unmanned aerial vehicle (UAV) images, Sentinel satellite data, weather station information, and towers employing the eddy covariance method, we applied the "Simple Algorithm for Evapotranspiration Retrieving" (SAFER) to calculate ET in common bean, pasture, and semideciduous seasonal forest areas. The results showed a good agreement between UAV and satellite data, with R = 0.84, also validated with flow towers by the eddy covariance method. UAV-based ET was observed to correspond well to tower (EC) during full vegetative development of beans but is underestimated at the beginning of planting and in the final periods of plant senescence, due to the influence of soil or straw cover. These findings contribute to a better understanding of water dynamics in the system and to enhancing sustainable agricultural practices. This method, adapted for multispectral aerial imaging, can be applied flexibly and on-demand, in different contexts and ground cover. The study highlights the importance of integrated agricultural practices for better management of water resources and preservation of the Cerrado in balance with cultivation areas.

摘要

在巴西,农业消耗了大部分可用的淡水资源,尤其是在塞拉多生物群落,那里的降雨周期以长时间的干旱为特征。本研究在巴西巴西农业研究公司(Embrapa)位于巴西戈亚斯州圣安东尼奥德戈亚斯的研究单位进行,旨在估算不同作物和土壤覆盖下的蒸散量(ET)。研究团队利用多光谱无人机(UAV)图像、Sentinel 卫星数据、气象站信息以及采用涡度协方差方法的塔架,应用“蒸散量简单算法(SAFER)”来计算大豆、牧场和半落叶季节性森林地区的 ET。研究结果表明,UAV 和卫星数据之间具有良好的一致性,相关系数 R 为 0.84,并且通过涡度协方差方法与流量塔进行了验证。研究发现,在大豆完全生长期间,基于 UAV 的 ET 与塔架(EC)高度吻合,但在种植初期和植物衰老末期,由于土壤或秸秆覆盖的影响,ET 会被低估。这些发现有助于更好地了解系统中的水分动态,并增强可持续农业实践。该方法适应多光谱航空成像,可以灵活且按需应用于不同的环境和地面覆盖情况。研究强调了综合农业实践对于更好地管理水资源和保护塞拉多生物群落与种植区之间平衡的重要性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验