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Title

Accurate ortho-mosaicked six-band multispectral UAV images as affected by mission planning for precision agriculture proposes

AuthorsMesas-Carrascosa, Francisco Javier; Clavero-Rumbao, Inmaculada; Torres-Sánchez, Jorge CSIC ORCID; García-Ferrer, Alfonso; Peña Barragán, José Manuel CSIC ORCID CVN ; López Granados, Francisca CSIC ORCID
Issue Date2016
PublisherTaylor & Francis
CitationInternational Journal for Remote Sensing 38(8-10): 2161-2176 (2016)
AbstractWeed mapping at very early phenological stages of crop and weed plants for site-specific weed management can be achieved by using ultra-high spatial and high spectral resolution imagery provided by multispectral sensors on-board an unmanned aerial vehicle (UAV). These UAV images cannot cover the whole field, resulting in the need to take a sequence of multiple overlapped images. Therefore, the overlapped images must be oriented and ortho-rectified to create an accurate ortho-mosaicked image of the entire field for further classification. Because the spatial quality of ortho-mosaicked images mainly depend on the flight altitude and percentage of overlap, this paper describes the effect of flight parameters using a multirotor UAV and a multispectral camera on the mosaicking workflow. The objective is to define the best configuration for the mission planning to generate accurate ortho-images. A set of flights with a range of altitudes (30, 40, 50, 60, 70, 80, and 90 m) above ground level (AGL) and two end-lap and side-lap settings (60–30% and 70–40%) were studied. The spatial accuracy of ortho-mosaics was evaluated taking into consideration the ASPRS test. The results showed that the best flight setting to keep the spatial accuracy in the bundle adjustment was 70–40% overlap and altitudes AGL ranging from 60 to 90 m. At these flight altitudes, the spatial resolution was quite similar, making it possible to optimize the mission planning, flying at a higher altitude and increasing the area overflow without decreasing the ortho-mosaic spatial quality. This study has relevant implications for further use in detecting weed seedlings in crops.
Publisher version (URL)http://doi.org/10.1080/01431161.2016.1249311
URIhttp://hdl.handle.net/10261/157288
DOI10.1080/01431161.2016.1249311
ISSN0143-1161
E-ISSN1366-5901
Appears in Collections:(IAS) Artículos

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