Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W4, 415-419, 2015
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W4/415/2015/
doi:10.5194/isprsarchives-XL-1-W4-415-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
27 Aug 2015
WORKFLOW FOR BUILDING A HYPERSPECTRAL UAV: CHALLENGES AND OPPORTUNITIES
C. Proctor and Y. He Department of Geography, University of Toronto Mississauga, 3359 Mississauga Road, Mississauga, Ontario, L5L 1C6, Canada
Keywords: Hyperspectral Imager, UAV System, Workflow, Considerations, Challenges Abstract. Owing to the limited payload capacities of most UAV platforms within an academic research budget, many UAV systems utilize commercial RGB cameras or modified sensors with some capacity for sensing in the NIR. However, many applications require higher spectral fidelity that only hyperspectral sensors can offer. For instance, the Photochemical Reflectance Index relies upon the narrow band absorbance of xanthophyll pigments at 531 and 570nm to quantify photosynthetic light use efficiency which are important indicators of productivity and stress in agricultural and forest ecosystems. Thus, our research group has been working on building a research paradigm around a commercial off-the-shelf hyperspectral sensor and UAV. This paper discusses some of the key decisions made regarding selection of equipment and navigating the regulatory and logistical landmines. The imagery collected to date and the options available to process and utilize hyperspectral data are discussed at the end.
Conference paper (PDF, 1197 KB)


Citation: Proctor, C. and He, Y.: WORKFLOW FOR BUILDING A HYPERSPECTRAL UAV: CHALLENGES AND OPPORTUNITIES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W4, 415-419, doi:10.5194/isprsarchives-XL-1-W4-415-2015, 2015.

BibTeX EndNote Reference Manager XML