Cameras replace human observers in multi‐species aerial counts in Murchison Falls, Uganda-Reference-Cited by-同舟云学术

Cameras replace human observers in multi‐species aerial counts in Murchison Falls, Uganda

Published:2020-03-15 Issue:4 Volume:6 Page:529-545
ISSN:2056-3485
Container-title:Remote Sensing in Ecology and Conservation
language:en
Short-container-title:Remote Sens. Ecol.

Author:

Lamprey Richard¹^ORCID,Ochanda David²,Brett Rob³,Tumwesigye Charles⁴,Douglas‐Hamilton Iain¹

Affiliation:

1. Save the Elephants P.O. Box 54667‐00200 Nairobi Kenya

2. Total E&P (Uganda) Kampala Uganda

3. Fauna & Flora International Cambridge United Kingdom

4. Uganda Wildlife Authority Kampala Uganda

Funder

TOTAL E&P Uganda BV

Publisher

Wiley

Subject

Nature and Landscape Conservation,Computers in Earth Sciences,Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rse2.154

Reference131 articles.

1. Aerial‐Survey‐Base.2014.GSD Calculator. Retrieved July 27 2019 fromhttps://www.aerial‐survey‐base.com/gsd‐calculator/;

2. Andere D. K.1981.The Kenya Rangeland Ecological Monitoring Unit. In J. J. R. Grimsdell & S. B. Westley (Eds.) Low‐Level Aerial Survey Techniques(pp. 59–68). ILCA Monograph 4 International Livestock Centre for Africa Addis Ababa: Monographs 4 International Livestock Centre for Africa.

3. Moose sightability model developed from helicopter surveys;Anderson C. R.;Wildlife Society Bulletin (1973‐2006),1996

4. Social Dispersion and Lekking in Uganda Kob

5. Correcting Bias in Aerial Survey Population Estimates of Feral Livestock in Northern Australia Using the Double-Count Technique

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