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Title

Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management

AuthorsMesas-Carrascosa, Francisco Javier; Torres-Sánchez, Jorge ; Clavero-Rumbao, Inmaculada; García-Ferrer, Alfonso; Peña Barragán, José Manuel ; Borra-Serrano, Irene; López Granados, Francisca
KeywordsDrone
Multispectral sensor
Spatial resolution
Spectral discrimination
Flight parameter
Issue Date29-Sep-2015
PublisherMultidisciplinary Digital Publishing Institute
CitationRemote Sensing 7(10): 12793-12814 (2015)
AbstractThis article describes the technical specifications and configuration of a multirotor unmanned aerial vehicle (UAV) to acquire remote images using a six-band multispectral sensor. Several flight missions were programmed as follows: three flight altitudes (60, 80 and 100 m), two flight modes (stop and cruising modes) and two ground control point (GCP) settings were considered to analyze the influence of these parameters on the spatial resolution and spectral discrimination of multispectral orthomosaicked images obtained using Pix4Dmapper. Moreover, it is also necessary to consider the area to be covered or the flight duration according to any flight mission programmed. The effect of the combination of all these parameters on the spatial resolution and spectral discrimination of the orthomosaicks is presented. Spectral discrimination has been evaluated for a specific agronomical purpose: to use the UAV remote images for the detection of bare soil and vegetation (crop and weeds) for in-season site-specific weed management. These results show that a balance between spatial resolution and spectral discrimination is needed to optimize the mission planning and image processing to achieve every agronomic objective. In this way, users do not have to sacrifice flying at low altitudes to cover the whole area of interest completely.
Publisher version (URL)http://dx.doi.org/10.3390/rs71012793
URIhttp://hdl.handle.net/10261/137256
DOIhttp://dx.doi.org/10.3390/rs71012793
ISSN2072-4292
Appears in Collections:(IAS) Artículos
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