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
<p>Operating System: Windows XP, Windows Vista, Windows 7, Windows Server 2000, Windows Server 2003, Windows Server 2008, MAC, UNIX, LINUX</p>
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.
W. Clarket al.. (2011). Vector Borne Disease: Risk Mapping. NASA Earth Science Division Applied Sciences Program. DEVELOP National Program April 22, 2011. 12 p.
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.
Nizamuddin, M. et al. (2009): Early Prediction of Malaria in Forest Hills of Bangladesh Using AVHRR Based SatelliteData. 16th Conference on Satellite Meteorology and Oceanography, Phoenix, AZ, January 11-15, 2009.
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.
Rogers, D.J. et al. (1996): Predicting the Distribution of Tsetse Flies in West Africa Using Temporal Fourier Processed Meteorological SatelliteData. Annals of Tropical Medicine and Parasitology, Vol. 90, No. 3, 225-241.