The Quantitative Estimation of Grazing Intensity on the Zoige Plateau Based on the Space-Air-Ground Integrated Monitoring Technology

doi:10.1007/s10346-020-01387-6

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > 数字山地与遥感应用中心

	The Quantitative Estimation of Grazing Intensity on the Zoige Plateau Based on the Space-Air-Ground Integrated Monitoring Technology
	Lei Guangbin 5; Li Ainong 5; Zhang Zhengjian 4,5; Bian Jinhu 5; Hu Guyue 4,5; Wang Changbo 4,5; Nan Xi 5; Wang Jiyan 3; Tan Jianbo 2; Liao Xiaohan 1
刊名	REMOTE SENSING
	2020
卷号	12 期号:9 页码:1863-1880
关键词	grazing intensity space-air-ground integrated monitoring unmanned aerial vehicle (UAV) trajectory data animal husbandry remote sensing
DOI	10.1007/s10346-020-01387-6
通讯作者	Li, Ainong(ainongli@imde.ac.cn) ; Liao, Xiaohan(liaoxh@igsnrr.ac.cn)
产权排序	1
文献子类	Article
英文摘要	Grazing intensity (GI) is an important indicator for grazing situations in pastoral areas. However, it has been difficult to be observed directly in the field, due to the randomness and dynamics of the grazing behavior of livestock. Consequently, the lack of actual GI information has become a common issue in studies on quantitatively estimating GI. In this paper, a novel quantitative estimation method is proposed based on the Space-Air-Ground integrated monitoring technology. It systematically integrates GPS tracking technology, Unmanned Aerial Vehicle (UAV) observation technology, and satellite remote sensing technology. Taking Xiangdong Village on the Zoige Plateau as a study area, the trajectory data and UAV images were acquired by the GPS tracking experiments and UAV observation experiments, respectively. The GI at paddock scale (PGI) was then generated with the Kernel Density Estimation (KDE) algorithm and the above data. Taking the generated PGI as training data, an estimation model of GI at region scale (RGI) was constructed by using the time-series satellite remote sensing images and random forest regression algorithm. Finally, the time-series RGI data with a spatial resolution of 10 m in Xiangdong Village were produced by the above model. The accuracy assessment demonstrated that the generated time-series RGI data could reflect the spatial-temporal heterogeneity of actual GI, with a mean absolute error of 0.9301 and r(2) of 0. 8573. The proposed method provides a new idea for generating the actual GI on the ground and the time-series RGI data. This study also highlights the feasibility and potential of using the Space-Air-Ground integrated monitoring technology to generate time-series RGI data with high spatial resolution. The generated time-series RGI data would provide data support for the formulation of policies and plans related to the sustainable development of animal husbandry.
电子版国际标准刊号	1612-5118
资助项目	National Natural Science Foundation project of China[41701433] ; National Natural Science Foundation project of China[41701430] ; National Natural Science Foundation project of China[41701432] ; National Natural Science Foundation project of China[41571373] ; Key Deployment Project of the Chinese Academy of Sciences[KFZD-SW-319-04] ; National Key Research and Development Program of China[2016YFA0600103] ; National Key Research and Development Program of China[2016YFC0500201-06] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19030303] ; CAS Light ofWest China Program ; 135 Strategic Program of the Institute of Mountain Hazards and Environment, CAS[SDS-135-1708]
WOS关键词	XILINGOL STEPPE REGION ; INNER-MONGOLIA ; HJ-1A/B CONSTELLATION ; GRASSLAND ; MODEL ; GPS ; SYSTEMS ; LANDSAT ; IMAGES ; CATTLE
WOS研究方向	Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000551224300008
资助机构	National Natural Science Foundation project of China ; Key Deployment Project of the Chinese Academy of Sciences ; National Key Research and Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; CAS Light ofWest China Program ; 135 Strategic Program of the Institute of Mountain Hazards and Environment, CAS
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/35165]
专题	成都山地灾害与环境研究所_数字山地与遥感应用中心
通讯作者	Li Ainong; Liao Xiaohan
作者单位	1.Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China 2.School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China; 3.School of Civil Engineering & Architecture, Southwest Petroleum University, Chengdu 610500, China; 4.University of Chinese Academy of Sciences, Beijing 100049, China; 5.Research Center for Digital Mountain and Remote Sensing Application, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China;
推荐引用方式 GB/T 7714	Lei Guangbin,Li Ainong,Zhang Zhengjian,et al. The Quantitative Estimation of Grazing Intensity on the Zoige Plateau Based on the Space-Air-Ground Integrated Monitoring Technology[J]. REMOTE SENSING,2020,12(9):1863-1880.
APA	Lei Guangbin.,Li Ainong.,Zhang Zhengjian.,Bian Jinhu.,Hu Guyue.,...&Liao Xiaohan.(2020).The Quantitative Estimation of Grazing Intensity on the Zoige Plateau Based on the Space-Air-Ground Integrated Monitoring Technology.REMOTE SENSING,12(9),1863-1880.
MLA	Lei Guangbin,et al."The Quantitative Estimation of Grazing Intensity on the Zoige Plateau Based on the Space-Air-Ground Integrated Monitoring Technology".REMOTE SENSING 12.9(2020):1863-1880.