期刊论文详细信息
Remote Sensing
Applications of Unmanned Aerial Systems (UASs) in Hydrology: A Review
Ángel Sánchez-Bellón1  Mercedes Vélez-Nicolás1  Santiago García-López1  Luis Barbero1  Verónica Ruiz-Ortiz2 
[1] Department of Earth Sciences, Faculty of Marine and Environmental Sciences, University of Cádiz, 11510 Puerto Real, Spain;Department of Industrial and Civil Engineering, Higher Polytechnic School of Algeciras, University of Cádiz, 11202 Algeciras, Spain;
关键词: drone applications;    surface water;    groundwater;    photogrammetry;    optical sensing;    thermal infrared;   
DOI  :  10.3390/rs13071359
来源: DOAJ
【 摘 要 】

In less than two decades, UASs (unmanned aerial systems) have revolutionized the field of hydrology, bridging the gap between traditional satellite observations and ground-based measurements and allowing the limitations of manned aircraft to be overcome. With unparalleled spatial and temporal resolutions and product-tailoring possibilities, UAS are contributing to the acquisition of large volumes of data on water bodies, submerged parameters and their interactions in different hydrological contexts and in inaccessible or hazardous locations. This paper provides a comprehensive review of 122 works on the applications of UASs in surface water and groundwater research with a purpose-oriented approach. Concretely, the review addresses: (i) the current applications of UAS in surface and groundwater studies, (ii) the type of platforms and sensors mainly used in these tasks, (iii) types of products generated from UAS-borne data, (iv) the associated advantages and limitations, and (v) knowledge gaps and future prospects of UASs application in hydrology. The first aim of this review is to serve as a reference or introductory document for all researchers and water managers who are interested in embracing this novel technology. The second aim is to unify in a single document all the possibilities, potential approaches and results obtained by different authors through the implementation of UASs.

【 授权许可】

Unknown   

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