Unmanned aerial systems for agriculture and natural resources

California Agriculture

Volumn 71, Issue 1, 2017, Pages 5-14

  Hogan, Sean D ^a   Kelly, Maggi ^a,b   Stark, Brandon ^c,d   Chen, Yang Quan ^e  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UC   (United States)

^d UC Office of the President   (United States)

^e University of California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85014933070     PISSN: 00080845     EISSN: None     Source Type: Journal    
DOI: 10.3733/ca.2017a0002     Document Type: Article

References (20)

1. [AUVSI] Association for Unmanned Vehicle Systems International. 2013. Economic Impact of Unmanned Aircraft Systems Integration in the United States. https://higherlogicdownload.s3.amazonaws.com/AUVSI/958c920a- 7f9b-4ad2-9807-f9a4e95d1ef1/UploadedImages/ New-Economic%20Report%202013%20Full.pdf.
2. [CDF] California Department of Forestry and Fire Protection. 2008. The Changing California, Forest and Range Assessment 2003. Last updated Oct. 2003. www.frap.cdf.ca.gov/assessment2003/Chapter2-Area/rangelandarea.html (no longer active; last accessed June 11, 2008).
3. Chung M, Detweiler C, Hamilton M, et al. 2015. Obtaining the thermal structure of lakes from the air. Water 7(11):6467-82.
4. Colomina I, Molina P. 2014. Unmanned aerial systems for photogrammetry and remote sensing: A review. ISPRS Photogramm 92: 79-97.
5. [FAA] Federal Aviation Administration. 2016a. FAA Aerospace Forecast Fiscal Years 2016-2036. www.faa.gov/ data-research/aviation/aerospace-forecasts/media/ FY2016-36-FAA-Aerospace-Forecast.pdf.
6. FAA. 2016b. Request a waiver/airspace authorization small unmanned aircraft system (sUAS). www.faa.gov/ uas/request-waiver/.
7. FAA. 2016b. Flying for fun. www.faa.gov/uas/getting- started/fly-for-fun/.
8. FAA. 2016c. Unmanned aircraft systems (UAS) frequently asked questions/help - Flying for fun (recreational or hobby). www.faa.gov/uas/faqs/#ffr.
9. FAA. 2016d. Unmanned aircraft systems - section 333. www.faa.gov/uas/beyond-the-basics/section-333/.
10. FAA. 2016e. sUAS Registration Service home page. https://registermyuas.faa.gov/.
11. Minařík R, Langhammer J. 2016. Use of a multispectral UAV photogrammetry for detection and tracking of forest disturbance dynamics. Int Arch Photogramm Remote Sens 41:711-18.
12. Przybilla H, Wester-Ebbinghaus W. 1979. Bildflug mit ferngelenktem Kleinflugzeug. Bildmessung und Luftbildwessen 47:137-142.
13. Ryan JC, Hubbard AL, Box JE, et al. 2015. UAV photogrammetry and structure from motion to assess calving dynamics at Store Glacier, a large outlet draining the Greenland ice sheet. Cryosphere 9(1):1-11.
14. Ryan JC, Hubbard AL, Stibal M, et al. 2016. Attribution of Greenland's ablating ice surfaces on ice sheet albedo using unmanned aerial systems. Cryosphere Discuss. doi:10.5194/tc-2016-204. In review.
15. Ryan JC, Hubbard AH, Box JE, et al. High resolution albedo products derived from digital camera images: UAV application over the K-sector of the Greenland ice sheet. In preparation.
16. Scopus. 2016. Document search results "Unmanned Aerial Vehicle". www.scopus.com/.
17. Six DL, Biber E, Long E. 2014. Management for mountain pine beetle outbreak suppression: Does relevant science support current policy? Forests 5(1):103-33.
18. [UCOP] University of California Office of the President. 2016. UC unmanned aircraft systems safety. www.ucop.edu/enterprise-risk-management/resources/centers-ofexcellence/ unmanned-aircraft-systems-safety.html.
19. Wester-Ebbinghaus W. 1980. Aerial photography by radio controlled model helicopter. Photogramm Rec 10:85-92.
20. Whitehead K, Hugenholtz CH. 2014. Remote sensing of the environment with small unmanned aircraft systems (UASs), part 1: A review of progress and challenges. J Unmanned Vehicle Syst 2:69-85.