http://edac.unm.edu/wordpress Geospatial applications, data, analysis, and knowledge Thu, 21 May 2009 17:52:28 +0000 http://wordpress.org/?v=2.8.4 en hourly 1 http://edac.unm.edu/wordpress/2009/01/edac-demonstrates-new-wms-to-kml-conversion-service/ http://edac.unm.edu/wordpress/2009/01/edac-demonstrates-new-wms-to-kml-conversion-service/#comments Thu, 08 Jan 2009 20:18:57 +0000 Karl Benedict http://edac.unm.edu/wordpress/?p=111 With support from the ESIP Federation EDAC developed a basic conversion capability that allows for the automated generation of KML (viewable in Google Earth and other KML clients) from the service metadata for an Open Geospatial Consortium (OGC) Web Map Service (WMS) that provides access to the map layers advertised by that service. This conversion service requires [...]]]> http://edac.unm.edu/wordpress/2009/01/edac-demonstrates-new-wms-to-kml-conversion-service/feed/ 0 http://edac.unm.edu/wordpress/2008/10/new-mexico-environmental-public-health-tracking-epht-program/ http://edac.unm.edu/wordpress/2008/10/new-mexico-environmental-public-health-tracking-epht-program/#comments Wed, 08 Oct 2008 15:32:57 +0000 Karl Benedict http://edac.unm.edu/wordpress/?p=95 In 2008 the New Mexico Department of Health (NMDOH) completed the second year of a five-year Centers for Disease Control and Prevention (CDC) cooperative agreement to develop an Environmental Public Health Tracking (EPHT) program. The CDC program’s purpose is to provide state health departments with resources to implement statewide networks that integrate data sets, [...]]]> http://edac.unm.edu/wordpress/2008/10/new-mexico-environmental-public-health-tracking-epht-program/feed/ 0 http://edac.unm.edu/wordpress/2008/10/public-health-applications-in-remote-sensing-phairs/ http://edac.unm.edu/wordpress/2008/10/public-health-applications-in-remote-sensing-phairs/#comments Tue, 07 Oct 2008 21:43:29 +0000 Karl Benedict http://edac.unm.edu/wordpress/?p=86 In 2008, the five-year NASA-funded REASoN project known as PHAiRS entered its fifth and final year. This project is unique in that it has successfully modified a dust forecast model for conditions in the southwest United States and improved the model’s performance by using NASA Earth observation data as input parameters.  Furthermore it has engaged [...]]]> http://edac.unm.edu/wordpress/2008/10/public-health-applications-in-remote-sensing-phairs/feed/ 0