The print-resolution still images were created for the February 2012 issue of The Scientist (print and online). In an article in the same issue, NASA scientist Assaf Anyamba explains how he can predict diseases with remote-sensing data.
The data used are:
1. NDVI is an index that quantifies the photosynthetic capacity of vegetation. It is derived from visible and near-infrared reflectance measurements made by Advanced Very High Resolution Radiometer (AVHRR) sensors onboard NOAA's polar orbiting satellites (in this case NOAA-17). Taken as time series measurements, NDVI indicates the response of vegetation to seasonal and interannual variations in climate.
2. SST data are a blend of direct observations from ships, buoys, satellite imagery also from National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) instruments, and SSTs simulated by sea-ice cover. The monthly optimum interpolated fields were derived by a linear interpolation of the weekly fields to daily fields, and then averaging daily values over a month.
All anomaly fields (as shown here) are derived by subtracting the monthly values from the respective long-term monthly means.
Please give credit for this item to:
NASA/Goddard Space Flight Center Scientific Visualization Studio
PLOS Neglected Tropical Disease (PLOS NTDs) Article: Climate Teleconnections and Recent Patterns of Human and Animal Disease Outbreaks
Short URL to share this page:
NOAA/AVHRR/Sea Surface Temperature
January 2007 Collection: 1982-2008
January 2007 Collection: 2003-2008
Note: While we identify the data sets used in these visualizations, we do not store any further details nor the data sets themselves on our site.
>> Environmental science
>> Human geography
>> Earth Science
>> Human Dimensions
>> Human Health
>> East Africa
GCMD keywords can be found on the Internet with the following citation:
Olsen, L.M., G. Major, K. Shein, J. Scialdone, S. Ritz, T. Stevens, M. Morahan, A. Aleman, R. Vogel, S. Leicester, H. Weir, M. Meaux, S. Grebas, C.Solomon, M. Holland, T. Northcutt, R. A. Restrepo, R. Bilodeau, 2013. NASA/Global Change Master Directory (GCMD) Earth Science Keywords. Version 220.127.116.11.0