WORKFLOW FOR BUILDING A HYPERSPECTRAL UAV: CHALLENGES AND OPPORTUNITIES
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...
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2015-08-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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doaj-35da15922f8042b5b9817dbbae2e851a2020-11-25T02:25:10ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342015-08-01XL-1-W441541910.5194/isprsarchives-XL-1-W4-415-2015WORKFLOW FOR BUILDING A HYPERSPECTRAL UAV: CHALLENGES AND OPPORTUNITIESC. Proctor0Y. He1Department of Geography, University of Toronto Mississauga, 3359 Mississauga Road, Mississauga, Ontario, L5L 1C6, CanadaDepartment of Geography, University of Toronto Mississauga, 3359 Mississauga Road, Mississauga, Ontario, L5L 1C6, CanadaOwing 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.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W4/415/2015/isprsarchives-XL-1-W4-415-2015.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
C. Proctor Y. He |
spellingShingle |
C. Proctor Y. He WORKFLOW FOR BUILDING A HYPERSPECTRAL UAV: CHALLENGES AND OPPORTUNITIES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
C. Proctor Y. He |
author_sort |
C. Proctor |
title |
WORKFLOW FOR BUILDING A HYPERSPECTRAL UAV: CHALLENGES AND OPPORTUNITIES |
title_short |
WORKFLOW FOR BUILDING A HYPERSPECTRAL UAV: CHALLENGES AND OPPORTUNITIES |
title_full |
WORKFLOW FOR BUILDING A HYPERSPECTRAL UAV: CHALLENGES AND OPPORTUNITIES |
title_fullStr |
WORKFLOW FOR BUILDING A HYPERSPECTRAL UAV: CHALLENGES AND OPPORTUNITIES |
title_full_unstemmed |
WORKFLOW FOR BUILDING A HYPERSPECTRAL UAV: CHALLENGES AND OPPORTUNITIES |
title_sort |
workflow for building a hyperspectral uav: challenges and opportunities |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2015-08-01 |
description |
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. |
url |
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W4/415/2015/isprsarchives-XL-1-W4-415-2015.pdf |
work_keys_str_mv |
AT cproctor workflowforbuildingahyperspectraluavchallengesandopportunities AT yhe workflowforbuildingahyperspectraluavchallengesandopportunities |
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