Estimating animal population size with very high-resolution satellite imagery

doi:10.1111/cobi.13613

CORC > 海洋研究所 > 中国科学院海洋研究所 > 海洋生态与环境科学重点实验室

	Estimating animal population size with very high-resolution satellite imagery
	Zhao, Peng 2,3,4; Liu, Shuming 4; Zhou, Yi 1,3,5,6; Lynch, Tim 7; Lu, Wenhu 4; Zhang, Tao 1,3,5,6; Yang, Hongsheng 1,3,5,6
刊名	CONSERVATION BIOLOGY
	2020-11-04
页码	9
关键词	population distribution population size remote sensing wildlife management
ISSN号	0888-8892
DOI	10.1111/cobi.13613
通讯作者	Yang, Hongsheng(hshyang@qdio.ac.cn)
英文摘要	Very high-resolution (VHR) satellite sensors can be used to estimate the size of animal populations, a critical factor in wildlife management, and acquire animal spatial distributions in an economical, easy, and precise way. We developed a method for satellite population size estimation that includes a noninvasive photogrammetry, from which the animal's average orthographic area is calculated, and an imagery interpretation method that estimates population size based on the ratio of an observed animal population area to the average individual area. As a proof of concept, we used this method to estimate the population size of Whooper Swans (Cygnus cygnus) in a national nature reserve in China. To reduce errors, the reserve was subdivided into regions of interest based on locations of Whooper Swan and background brightness. Estimates from the satellite pixels were compared with manual counts made over 2 years, at 3 locations, and in 3 land-cover types. Our results showed 1124 Whooper Swans occupied a national nature reserve on 15 February 2013, and the average percent error was 3.16% (SE = 1.37). These results demonstrate that our method produced robust data for population size estimation that were indistinguishable from manual count data. Our method may be used generally to estimate population sizes of visible and gregarious animals that exhibit high contrast relative to their environments and may inform estimations of populations in complex backgrounds.
资助项目	National Natural Sciences Foundation of China[41606192] ; National Key R&D Program of China[2019YFD0901301] ; National Science & Technology Basic Work Program[2015FY110600] ; Industry Leading Talents Project of Taishan Scholars[LJNY201704] ; Taishan Scholars Program ; Open Fund of Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences ; Laboratory of Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology[KLMEES201607]
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
语种	英语
出版者	WILEY
WOS记录号	WOS:000584650300001
内容类型	期刊论文
源URL	[http://ir.qdio.ac.cn/handle/337002/169051]
专题	海洋研究所_海洋生态与环境科学重点实验室
通讯作者	Yang, Hongsheng
作者单位	1.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Ecol & Environm Sci, Qingdao 266237, Peoples R China 2.Hainan Univ, State Key Lab Marine Resource Utilizat South Chin, Haikou 570228, Hainan, Peoples R China 3.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Marine Ecol & Environm Sci, Qingdao 266071, Peoples R China 4.Natl Marine Data & Informat Serv, Tianjin 300171, Peoples R China 5.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China 6.Chinese Acad Sci, Inst Oceanol, CAS Engn Lab Marine Ranching, Qingdao 266071, Peoples R China 7.CSIRO Oceans & Atmosphere Flagship, Hobart, Tas 7001, Australia
推荐引用方式 GB/T 7714	Zhao, Peng,Liu, Shuming,Zhou, Yi,et al. Estimating animal population size with very high-resolution satellite imagery[J]. CONSERVATION BIOLOGY,2020:9.
APA	Zhao, Peng.,Liu, Shuming.,Zhou, Yi.,Lynch, Tim.,Lu, Wenhu.,...&Yang, Hongsheng.(2020).Estimating animal population size with very high-resolution satellite imagery.CONSERVATION BIOLOGY,9.
MLA	Zhao, Peng,et al."Estimating animal population size with very high-resolution satellite imagery".CONSERVATION BIOLOGY (2020):9.