Remote sensing of the environment with small unmanned aircraft systems (UASs), part 2: scientific and commercial applications
Small unmanned aircraft systems (UASs) are often suited to applications where the cost, resolution, and (or) operational inflexibility of conventional remote sensing platforms is limiting. Remote sensing with small UASs is still relatively new, and there is limited understanding of how the data are...
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crcansciencepubl:10.1139/juvs-2014-0007 2024-10-13T14:05:30+00:00 Remote sensing of the environment with small unmanned aircraft systems (UASs), part 2: scientific and commercial applications Whitehead, Ken Hugenholtz, Chris H. Myshak, Stephen Brown, Owen LeClair, Adam Tamminga, Aaron Barchyn, Thomas E. Moorman, Brian Eaton, Brett 2014 http://dx.doi.org/10.1139/juvs-2014-0007 http://www.nrcresearchpress.com/doi/full-xml/10.1139/juvs-2014-0007 http://www.nrcresearchpress.com/doi/pdf/10.1139/juvs-2014-0007 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Journal of Unmanned Vehicle Systems volume 02, issue 03, page 86-102 ISSN 2291-3467 journal-article 2014 crcansciencepubl https://doi.org/10.1139/juvs-2014-0007 2024-09-27T04:07:25Z Small unmanned aircraft systems (UASs) are often suited to applications where the cost, resolution, and (or) operational inflexibility of conventional remote sensing platforms is limiting. Remote sensing with small UASs is still relatively new, and there is limited understanding of how the data are acquired and used for scientific purposes and decision making. This paper provides practical guidance about the opportunities and limitations of small UAS-based remote sensing by highlighting a small sample of scientific and commercial case studies. Case studies span four themes: (i) mapping, which includes case studies to measure aggregate stockpile volumes and map river habitat; (ii) feature detection, which includes case studies on grassland image classification and detection of agricultural crop infection; (iii) wildlife and animal enumeration, with case studies describing the detection of fish concentrations during a major salmon spawning event, and cattle enumeration at a concentrated animal feeding operation; (iv) landscape dynamics with a case study of arctic glacier change. Collectively, these case studies only represent a fraction of possible remote sensing applications using small UASs, but they provide insight into potential challenges and outcomes, and help clarify the opportunities and limitations that UAS technology offers for remote sensing of the environment. Article in Journal/Newspaper Arctic Canadian Science Publishing Arctic Journal of Unmanned Vehicle Systems 02 03 86 102 |
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Canadian Science Publishing |
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crcansciencepubl |
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English |
description |
Small unmanned aircraft systems (UASs) are often suited to applications where the cost, resolution, and (or) operational inflexibility of conventional remote sensing platforms is limiting. Remote sensing with small UASs is still relatively new, and there is limited understanding of how the data are acquired and used for scientific purposes and decision making. This paper provides practical guidance about the opportunities and limitations of small UAS-based remote sensing by highlighting a small sample of scientific and commercial case studies. Case studies span four themes: (i) mapping, which includes case studies to measure aggregate stockpile volumes and map river habitat; (ii) feature detection, which includes case studies on grassland image classification and detection of agricultural crop infection; (iii) wildlife and animal enumeration, with case studies describing the detection of fish concentrations during a major salmon spawning event, and cattle enumeration at a concentrated animal feeding operation; (iv) landscape dynamics with a case study of arctic glacier change. Collectively, these case studies only represent a fraction of possible remote sensing applications using small UASs, but they provide insight into potential challenges and outcomes, and help clarify the opportunities and limitations that UAS technology offers for remote sensing of the environment. |
format |
Article in Journal/Newspaper |
author |
Whitehead, Ken Hugenholtz, Chris H. Myshak, Stephen Brown, Owen LeClair, Adam Tamminga, Aaron Barchyn, Thomas E. Moorman, Brian Eaton, Brett |
spellingShingle |
Whitehead, Ken Hugenholtz, Chris H. Myshak, Stephen Brown, Owen LeClair, Adam Tamminga, Aaron Barchyn, Thomas E. Moorman, Brian Eaton, Brett Remote sensing of the environment with small unmanned aircraft systems (UASs), part 2: scientific and commercial applications |
author_facet |
Whitehead, Ken Hugenholtz, Chris H. Myshak, Stephen Brown, Owen LeClair, Adam Tamminga, Aaron Barchyn, Thomas E. Moorman, Brian Eaton, Brett |
author_sort |
Whitehead, Ken |
title |
Remote sensing of the environment with small unmanned aircraft systems (UASs), part 2: scientific and commercial applications |
title_short |
Remote sensing of the environment with small unmanned aircraft systems (UASs), part 2: scientific and commercial applications |
title_full |
Remote sensing of the environment with small unmanned aircraft systems (UASs), part 2: scientific and commercial applications |
title_fullStr |
Remote sensing of the environment with small unmanned aircraft systems (UASs), part 2: scientific and commercial applications |
title_full_unstemmed |
Remote sensing of the environment with small unmanned aircraft systems (UASs), part 2: scientific and commercial applications |
title_sort |
remote sensing of the environment with small unmanned aircraft systems (uass), part 2: scientific and commercial applications |
publisher |
Canadian Science Publishing |
publishDate |
2014 |
url |
http://dx.doi.org/10.1139/juvs-2014-0007 http://www.nrcresearchpress.com/doi/full-xml/10.1139/juvs-2014-0007 http://www.nrcresearchpress.com/doi/pdf/10.1139/juvs-2014-0007 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Journal of Unmanned Vehicle Systems volume 02, issue 03, page 86-102 ISSN 2291-3467 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/juvs-2014-0007 |
container_title |
Journal of Unmanned Vehicle Systems |
container_volume |
02 |
container_issue |
03 |
container_start_page |
86 |
op_container_end_page |
102 |
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1812811593304506368 |