气候变化领域集成服务门户(CCPortal): Enhancing Georeferencing and Mosaicking Techniques over Water Surfaces with High-Resolution Unmanned Aerial Vehicle (UAV) Imagery

CCPortal

DOI	10.3390/rs16020290
	Enhancing Georeferencing and Mosaicking Techniques over Water Surfaces with High-Resolution Unmanned Aerial Vehicle (UAV) Imagery
	Roman, Alejandro; Heredia, Sergio; Windle, Anna E.; Tovar-Sanchez, Antonio; Navarro, Gabriel
发表日期	2024
EISSN	2072-4292
起始页码	16
结束页码	2
卷号	16 期号:2
英文摘要	Aquatic ecosystems are crucial in preserving biodiversity, regulating biogeochemical cycles, and sustaining human life; however, their resilience against climate change and anthropogenic stressors remains poorly understood. Recently, unmanned aerial vehicles (UAVs) have become a vital monitoring tool, bridging the gap between satellite imagery and ground-based observations in coastal and marine environments with high spatial resolution. The dynamic nature of water surfaces poses a challenge for photogrammetric techniques due to the absence of fixed reference points. Addressing these issues, this study introduces an innovative, efficient, and accurate workflow for georeferencing and mosaicking that overcomes previous limitations. Using open-source Python libraries, this workflow employs direct georeferencing to produce a georeferenced orthomosaic that integrates multiple UAV captures, and this has been tested in multiple locations worldwide with optical RGB, thermal, and multispectral imagery. The best case achieved a Root Mean Square Error of 4.52 m and a standard deviation of 2.51 m for georeferencing accuracy, thus preserving the UAV's centimeter-scale spatial resolution. This open-source workflow represents a significant advancement in the monitoring of marine and coastal processes, resolving a major limitation facing UAV technology in the remote observation of local-scale phenomena over water surfaces.
英文关键词	drones; mosaic; stitching; remote sensing; multispectral; RGB; thermal; water surfaces; water quality; georeference
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:001151317900001
来源期刊	REMOTE SENSING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/294322
作者单位	Consejo Superior de Investigaciones Cientificas (CSIC); CSIC - Instituto de Ciencias Marinas de Andalucia (ICMAN); National Aeronautics & Space Administration (NASA); NASA Goddard Space Flight Center; Science Systems & Applications Inc
推荐引用方式 GB/T 7714	Roman, Alejandro,Heredia, Sergio,Windle, Anna E.,et al. Enhancing Georeferencing and Mosaicking Techniques over Water Surfaces with High-Resolution Unmanned Aerial Vehicle (UAV) Imagery[J],2024,16(2).
APA	Roman, Alejandro,Heredia, Sergio,Windle, Anna E.,Tovar-Sanchez, Antonio,&Navarro, Gabriel.(2024).Enhancing Georeferencing and Mosaicking Techniques over Water Surfaces with High-Resolution Unmanned Aerial Vehicle (UAV) Imagery.REMOTE SENSING,16(2).
MLA	Roman, Alejandro,et al."Enhancing Georeferencing and Mosaicking Techniques over Water Surfaces with High-Resolution Unmanned Aerial Vehicle (UAV) Imagery".REMOTE SENSING 16.2(2024).