Satellite remote sensing and geographical information systems for risk modelling of alveolar echinococcosis

被引:0
|
作者
Danson, FM [1 ]
Craig, PS [1 ]
Man, W [1 ]
Shi, DH [1 ]
Pleydell, DRJ [1 ]
Giraudoux, P [1 ]
机构
[1] Univ Salford, Telford Inst Environm Syst, Salford M5 4WT, Lancs, England
关键词
D O I
暂无
中图分类号
R38 [医学寄生虫学]; Q [生物科学];
学科分类号
07 ; 0710 ; 09 ; 100103 ;
摘要
Satellite remote sensing has now become a well-established tool for land cover and ecological mapping in epidemiological studies that require spatial information on the size, location and temporal dynamics of host habitats. Satellite remote sensing provides regular and repeatable images of most of the Earth's surface at a range of spatial and temporal resolutions. In addition, a global archive of image data at high spatial resolution is available from 1972 providing a permanent record of landscape change, These spatial data are increasingly managed with geographic information systems (GIS) that provide the key tools for the analysis of spatial patterns and, more recently, to build predictive models of disease transmission. This chapter reviews the key attributes of satellite remote sensing and GIS in the context of parasitology. A case study is used to illustrate the application of remote sensing and GIS to explore spatial relationships between landscape composition and the transmission of Echinococcus multilocularis in a highly endemic area in central China.
引用
收藏
页码:237 / 248
页数:12
相关论文
共 50 条
  • [21] Development of forest fire risk map using geographical information systems and remote sensing capabilities: Ören case
    Mehtap Ozenen Kavlak
    Saye Nihan Cabuk
    Mehmet Cetin
    Environmental Science and Pollution Research, 2021, 28 : 33265 - 33291
  • [22] A framework for the modelling of uncertainty between remote sensing and geographic information systems
    Gahegan, M
    Ehlers, M
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2000, 55 (03) : 176 - 188
  • [23] Geographical information systems: on modelling and representation
    Longley, PA
    PROGRESS IN HUMAN GEOGRAPHY, 2004, 28 (01) : 108 - 116
  • [24] Remote sensing satellite imagery and risk management: image based information extraction
    Bitelli, G.
    Gusella, L.
    RISK ANALYSIS VI: SIMULATION AND HAZARD MITIGATION, 2008, : 149 - 158
  • [25] THE POTENTIAL OF MULTISENSOR SATELLITE REMOTE-SENSING FOR GEOGRAPHIC INFORMATION-SYSTEMS
    EHLERS, M
    TECHNICAL PAPERS : 1989 ASPRS/ACSM ANNUAL CONVENTION, VOL 4: GIS/LIS, 1989, : 40 - 45
  • [26] Assessing land cover and soil quality by remote sensing and geographical information systems (GIS)
    Obade, Vincent de Paul
    Lal, Rattan
    CATENA, 2013, 104 : 77 - 92
  • [27] Environmental factor analysis of cholera in China using remote sensing and geographical information systems
    Xu, M.
    Cao, C. X.
    Wang, D. C.
    Kan, B.
    Xu, Y. F.
    Ni, X. L.
    Zhu, Z. C.
    EPIDEMIOLOGY AND INFECTION, 2016, 144 (05): : 940 - 951
  • [28] Future directions for geological remote sensing and Geographical Information Systems (GIS) in geological education
    Vincent, RK
    Levine, NS
    ENVIRONMENTAL & ENGINEERING GEOSCIENCE, 2004, 10 (04): : 329 - 338
  • [29] APPLICATION OF REMOTE-SENSING AND GEOGRAPHICAL INFORMATION-SYSTEMS IN COASTAL AREA MANAGEMENT
    KAM, SP
    COASTAL AREA MANAGEMENT IN SOUTHEAST ASIA : POLICIES, MANAGEMENT STRATEGIES AND CASE STUDIES, 1989, 543 : 163 - 171
  • [30] The potential of geographical information systems and remote sensing in the epidemiology and control of human helminth infections
    Brooker, S
    Michael, E
    ADVANCES IN PARASITOLOGY, VOL 47: REMOTE SENSING AND GEOGRAPHICAL INFORMATION SYSTEMS IN EPIDEMIOLOGY, 2000, 47 : 245 - 288