Small Unmanned Aircraft Systems and Agro-Terrestrial Surveys Comparison for Generating Digital Elevation Surfaces for Irrigation and Precision Grading

IF 4.4 2区 地球科学 Q1 REMOTE SENSING Drones Pub Date : 2023-10-26 DOI:10.3390/drones7110649
Richard A. Pickett, John W. Nowlin, Ahmed A. Hashem, Michele L. Reba, Joseph H. Massey, Scott Alsbrook
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Abstract

Advances in remote sensing and small unmanned aircraft systems (sUAS) have been applied to various precision agriculture applications. However, there has been limited research on the accuracy of real-time kinematic (RTK) sUAS photogrammetric elevation surveys, especially in preparation for precision agriculture practices that require precise topographic surfaces, such as increasing irrigation system efficiency. These practices include, but are not limited to, precision land grading, placement of levees, multiple inlet rice irrigation, and computerized hole size selection for furrow irrigation. All such practices rely, in some way, on the characterization of surface topography. While agro-terrestrial (ground-based) surveying is the dominant method of agricultural surveying, aerial surveying is emerging and attracting potential early adopters. This is the first study of its kind to assess the accuracy, precision, time, and cost efficiency of RTK sUAS surveying in comparison to traditional agro-terrestrial techniques. Our findings suggest sUAS are superior to ground survey methods in terms of relative elevation and produce much more precise raster surfaces than ground-based methods. We also showed that this emergent technology reduces costs and the time it takes to generate agricultural elevation surveys.
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小型无人机系统与农业地面测量的比较:为灌溉和精确分级生成数字高程面
遥感和小型无人机系统(sUAS)的进步已应用于各种精准农业应用。然而,关于实时运动学(RTK) sUAS摄影测量高程测量精度的研究有限,特别是在为需要精确地形表面的精确农业实践做准备时,例如提高灌溉系统效率。这些做法包括,但不限于,精确的土地分级,堤防的安置,多入口水稻灌溉,以及计算机选择沟灌溉的孔大小。所有这些做法在某种程度上都依赖于表面地形的特征。虽然农业陆地测量是农业测量的主要方法,但航空测量正在兴起并吸引潜在的早期采用者。这是同类研究中首次评估RTK sUAS测量与传统农业陆地技术相比的准确性、精密度、时间和成本效率。我们的研究结果表明,在相对高程方面,sUAS优于地面测量方法,并且比地面测量方法产生更精确的栅格表面。我们还展示了这种新兴技术降低了成本和产生农业高程测量所需的时间。
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来源期刊
Drones
Drones Engineering-Aerospace Engineering
CiteScore
5.60
自引率
18.80%
发文量
331
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