Epidemic

EOLi (Earth Observation Link) - European Space Agency's client for Earth Observation Catalogue and Ordering Services (ESA)

Costs: 

rfree
English

Spatial Coverage: 

Global

Temporal Coverage: 

arch
near

Data accessibility: 

exportdata
exportmap
statistic
visdata
webproc

Disaster Cycle Phase: 

drm
rr

Spatial Resolution: 

15.00

Space-based Information: 

ENVISAT, ERS, Landsat, IKONOS, DMC, ALOS, SPOT, Kompsat, Proba, IRS, SCISAT.

Requirements: 

<p>EOLi is a java application which is supported on all major platforms: Windows (95/98/ME/2000/NT/XP), Linux, MacOS X and other Unix systems. Java SE Runtime Environment 1.5 or later is required.</p>

Earth Explorer(USGS)

Data Type: 

baseline
elevation
landuse
satdata

Costs: 

free
English

Spatial Coverage: 

Global

Temporal Coverage: 

arch
fore
near

Data accessibility: 

exportdata
exportmap
statistic
visdata
webproc

File types: 

bmp
DBF
GeoRSS
GeoTIFF
HDF
KML
shp
TIFF
txt
webmap
WMS

Disaster Cycle Phase: 

drm
rr

Spatial Resolution: 

30.00

Space-based Information: 

Arial Imagery,AVHRR, Digital Elevation,Declassified data, Digital Line Graphs,Digital Maps, GEOGLAM, Global Fidutials, Global Forest Observation Initiatives,Global Land Survey,JECAM Stes, HCMM, LIDAR, Land Cover,Vegetation Monitoring,NASA LPDAAC Collection

Requirements: 

<p>Operating System: Windows XP, Windows Vista, Windows 7, Windows Server 2000, Windows Server 2003, Windows Server 2008, MAC, UNIX, LINUX</p>

Restrictions / Citation of the dataset: 

Vector Borne Disease: Risk Mapping

 

Within the DEVELOP National Program of NASA this project aimed at identifying West Nile Virus (WNV) and Encephalitis (EEE) risk maps for Mobile County, Alabama. Probable WNV and EEE infected reservoir habitats were identified using Terra ASTER and Landsat 4 and 5 imagery. Through combination with census data it was possible to identify areas where a chain of infection is present.

English

Bibliographic reference: 

W. Clarket al.. (2011). Vector Borne Disease: Risk Mapping. NASA Earth Science Division Applied Sciences Program. DEVELOP National Program April 22, 2011. 12 p.

Remote Sensing and Geographic Information Systems and Risk of American Visceral Leishmaniasis in Bahia, Brazil

 

External Contact Person: 

Bavia, M.E.

Email: 

newmeb2004 [at] yahoo.com.br
English

Bibliographic reference: 

Bavia, M.E. et al. (2005): Remote Sensing and Geographic Information Systems and Risk of American Visceral Leishmaniasis in Bahia, Brazil. Parassitologia, Vol. 47, 165-169.

Rift Valley Fever in a Zone Potentially Occupied by Aedes Vexans in Senegal: Dynamics and Risk Mapping

 

External Contact Person: 

Cécile Vignolles

Email: 

cecile.vignolles [at] cnes.fr
English

Bibliographic reference: 

Vignolles, C. et al. (2009): Rift Valley Fever in a Zone Potentially Occupied by Aedes Vexans in Senegal: Dynamics and Risk Mapping. Geospatial Health, Vol. 3, No. 2, 211-220.

Monitoring environmental indicators of vector-borne disease from space: a new opportunity for RADARSAT-2

 

External Contact Person: 

Shannon Kaya

Email: 

shannon.kaya [at] ccrs.nrcan.gc.ca
English

Bibliographic reference: 

Kaya, S. et al. (2004): Monitoring Environmental Indicators of Vector-borned Disease from Space: A New Opportunity for RADARSAT-2. Canadian Journal of Remote Sensing, Vol. 30, No. 3, 560-565.

The Use of Radar Remote Sensing for Identifying Environmental Factors Associated with Malaria Risk in Coastal Kenya

 

External Contact Person: 

Shannon Kaya

Email: 

shannon.kaya [at] ccrs.nrcan.gc.ca
English

Bibliographic reference: 

Kaya, S. et al. (2002): The Use of Radar Remote Sensing for Identifying Environmental Factors Associated with Malaria Risk in Coastal Kenya. Proceedings of the International Geoscience and Remote Sensing Symposium, Toronto 2002.

Early Prediction of Malaria in Forest Hills of Bangladesh Using AVHRR Based Satellite Data

 

External Contact Person: 

Mohammad Nizamuddin

Email: 

nizam89 [at] gmail.com
English

Bibliographic reference: 

Nizamuddin, M. et al. (2009): Early Prediction of Malaria in Forest Hills of Bangladesh Using AVHRR Based Satellite Data. 16th Conference on Satellite Meteorology and Oceanography, Phoenix, AZ, January 11-15, 2009.

Satellite Imagery Characterizes Local Animal Reservoir Populations of Sin Nombre Virus in the Southwestern United States

 

External Contact Person: 

Gregory E. Glass

Email: 

gglass [at] jhsph.edu
English

Bibliographic reference: 

Glass, G.E. et al. (2002): Satellite Imagery Characterizes Local Animal Reservoir Populations of Sin Nombre Virus in the Southwestern United States. Proceedings of the National Academy of Sciences of the United States of America, Vol. 99, No. 26, 16817-16822.

Early detection of tick-borne encephalitis virus spatial distribution and activity in the province of Trento, northern Italy

 

External Contact Person: 

Rizzoli A.

Email: 

rizzoli [at] cealp.it
English

Bibliographic reference: 

Rizzoli, A. et al. (2007): Early Detection of Tick-Borne Encephalitis Virus Spatial Distribution and Activity in the Province of Trento, Northern Italy. Geospatial Health, Vol. 2, 169-176.

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