globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2017.09.013
Scopus记录号: 2-s2.0-85032172997
论文题名:
Detecting plague-host abundance from space: Using a spectral vegetation index to identify occupancy of great gerbil burrows
作者: Wilschut L; I; , Heesterbeek J; A; P; , Begon M; , de Jong S; M; , Ageyev V; , Laudisoit A; , Addink E; A
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2018
卷: 64
起始页码: 249
结束页码: 255
语种: 英语
英文关键词: Great gerbil ; Infectious disease ; NDVI ; Object-based image analysis ; Plague ; Population abundance ; Random Forest ; Segmentation ; Yersinia pestis
Scopus关键词: abundance ; bacterium ; burrow ; image analysis ; infectious disease ; NDVI ; remote sensing ; rodent ; satellite imagery ; segmentation ; spectral analysis ; time series ; Kazakhstan ; Rhombomys opimus ; Yersinia pestis
英文摘要: In Kazakhstan, plague outbreaks occur when its main host, the great gerbil, exceeds an abundance threshold. These live in family groups in burrows, which can be mapped using remote sensing. Occupancy (percentage of burrows occupied) is a good proxy for abundance and hence the possibility of an outbreak. Here we use time series of satellite images to estimate occupancy remotely. In April and September 2013, 872 burrows were identified in the field as either occupied or empty. For satellite images acquired between April and August, ‘burrow objects’ were identified and matched to the field burrows. The burrow objects were represented by 25 different polygon types, then classified (using a majority vote from 10 Random Forests) as occupied or empty, using Normalized Difference Vegetation Indices (NDVI) calculated for all images. Throughout the season NDVI values were higher for empty than for occupied burrows. Occupancy status of individual burrows that were continuously occupied or empty, was classified with producer's and user's accuracy values of 63 and 64% for the optimum polygon. Occupancy level was predicted very well and differed 2% from the observed occupancy. This establishes firmly the principle that occupancy can be estimated using satellite images with the potential to predict plague outbreaks over extensive areas with much greater ease and accuracy than previously. © 2017 The Authors
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79904
Appears in Collections:气候变化事实与影响

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作者单位: Utrecht University, Department of Physical Geography, Heidelberglaan 2, PO Box 80115, Utrecht, TC, Netherlands; Utrecht University, Faculty of Veterinary Medicine, Yalelaan 7, Utrecht, CL, Netherlands; Ecology Evolution and Genomics of Infectious Disease Research Group, Institute of Integrative Biology, The University of Liverpool, Liverpool, United Kingdom; Anti-Plague Institute, M. Aikimbayev's Kazakh Science Centre for Quarantine and Zoonotic Diseases, 14 Kapalskaya Street, Almaty, Kazakhstan; Evolutionary Biology Group, University of Antwerp, 171, Groenenborgerlaan, Antwerpen, Belgium

Recommended Citation:
Wilschut L,I,, Heesterbeek J,et al. Detecting plague-host abundance from space: Using a spectral vegetation index to identify occupancy of great gerbil burrows[J]. International Journal of Applied Earth Observation and Geoinformation,2018-01-01,64
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