Integrating satellite and unmanned aircraft system (UAS) imagery to model livestock population dynamics in the Longbao Wetland National Nature Reserve, China
文献类型:期刊论文
作者 | Wang, Dongliang2,3,4,5; Song, Qingjie2; Liao, Xiaohan3,4,5; Ye, Huping3,4,5; Shao, Quanqin2; Fan, Jiangwen2; Cong, Nan6; Xin, Xiaoping1; Yue, Huanyin3,4,5; Zhang, Haiyan2 |
刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
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出版日期 | 2020-12-01 |
卷号 | 746页码:11 |
关键词 | Animal population estimation Satellite imagery Unmanned aircraft system (UAS) LongbaoWetland |
ISSN号 | 0048-9697 |
DOI | 10.1016/j.scitotenv.2020.140327 |
通讯作者 | Zhang, Haiyan(zhanghaiyan823@163.com) |
英文摘要 | The collection of field-based animal data is laborious, risky and costly in some areas, such as various nature reserves. Although multiple studies have used satellite imagery, aerial imagery, and field data individually for some animal species surveys, several technical issues still need to be addressed before full standardization of remote sensing methods for modeling animal population dynamics over large areas. This study is the first to model the population dynamics of livestock in the LongbaoWetland National Nature Reserve, China by utilizing yak estimations from Worldview-2 satellite imagery (0.5 m) collected in 2010 and yaks counted in a ground-based survey conducted in 2011 in combination with the animal population structure precisely extracted from UAS imagery captured in 2016. As a consequence, 5501, 5357, and 5510 yaks were estimated to appear in the reserve in 2010, 2011 and 2016, respectively. In total, 1092, 1062 and 1092 sheep were estimated to appear in the reserve in 2010, 2011 and 2016, respectively. The uncertainty of the presented method is also discussed. Primary experiments show that both the satellite imagery and UAS imagery are promising for use in yak censuses, but no sheep were observed in the satellite imagery because of the low resolution. Compared to the ground-based survey conducted in 2011, the UAS image estimate and satellite imagery count deviated in yak quantity by 2.69% and 2.86%, respectively. UASs are a reliable and low-budget alternative to animal surveys. No discernable changes in animal behaviors and animal distributionswere observed as the UAS passed at a height of 700 m, and the accuracy of UAS imagery counts were not significantly affected by the short-distance animal movement and image mosaicking errors. The experimental results illustrate the advantages of the combination of satellite and UAS imagery in modeling animal population dynamics. (C) 2020 Published by Elsevier B.V. |
WOS关键词 | AERIAL VEHICLES ; FEASIBILITY ; ABUNDANCE ; ANIMALS |
资助项目 | Major Projects of High Resolution Earth Observation System of China (Civil Part) Research on key technologies of CHEOS remote sensing product validation and compilation of standards and specifications ; National Key R&D Program of China[2017YFC0506505] ; National Key R&D Program of China[2017YFB0503005] ; National Natural Science Foundation of China[41501416] ; National Natural Science Foundation of China[41771388] ; National Natural Science Foundation of China[41971359] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23100203] ; State Key Laboratory of Resources and Environmental Information System ; Natural Science Foundation of Tianjin[18JCYBJC42300] ; Tianjin IntelligentManufacturing Project: Technology of IntelligentNetworking by Autonomous Control UAVs for Observation and Application[TianjinIMP-2] |
WOS研究方向 | Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000579371300005 |
出版者 | ELSEVIER |
资助机构 | Major Projects of High Resolution Earth Observation System of China (Civil Part) Research on key technologies of CHEOS remote sensing product validation and compilation of standards and specifications ; National Key R&D Program of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; State Key Laboratory of Resources and Environmental Information System ; Natural Science Foundation of Tianjin ; Tianjin IntelligentManufacturing Project: Technology of IntelligentNetworking by Autonomous Control UAVs for Observation and Application |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/157085] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Zhang, Haiyan |
作者单位 | 1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Natl Hulunber Grassland Ecosyst Observat & Res St, Beijing 100081, Peoples R China 2.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 4.Inst UAV Applicat Res, Tianjin, Peoples R China 5.Chinese Acad Sci, Tianjin 301800, Peoples R China 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Lhasa Plateau Ecosyst Res Stn, Beijing 100101, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Dongliang,Song, Qingjie,Liao, Xiaohan,et al. Integrating satellite and unmanned aircraft system (UAS) imagery to model livestock population dynamics in the Longbao Wetland National Nature Reserve, China[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2020,746:11. |
APA | Wang, Dongliang.,Song, Qingjie.,Liao, Xiaohan.,Ye, Huping.,Shao, Quanqin.,...&Zhang, Haiyan.(2020).Integrating satellite and unmanned aircraft system (UAS) imagery to model livestock population dynamics in the Longbao Wetland National Nature Reserve, China.SCIENCE OF THE TOTAL ENVIRONMENT,746,11. |
MLA | Wang, Dongliang,et al."Integrating satellite and unmanned aircraft system (UAS) imagery to model livestock population dynamics in the Longbao Wetland National Nature Reserve, China".SCIENCE OF THE TOTAL ENVIRONMENT 746(2020):11. |
入库方式: OAI收割
来源:地理科学与资源研究所
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