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International EOS/S-NPP Direct Readout Conference to take place during March 2016

International EOS/S-NPP Direct Readout Conference to take place during March 2016

This is the second announcement for the next NASA Direct Readout Conference (NDRC), more commonly known as the International EOS/S-NPP Direct Readout Conference, to take place March 8th - 11th 2016 in Rabat, Morocco. Our host, the Royal Center for Remote Sensing (CRTS - http://www.crts.gov.ma) and our co-sponsors USDA-Forest Service, University of Wisconsin-SSEC, Oregon State University-CEOAS, and World Meteorological Organization, look forward to facilitating a rich exchange among real-time Earth observing data users.

NASA GSFC Earth Sciences Division scientist positions

NASA GSFC Earth Sciences Division scientist positions

The Earth Sciences Division at NASA’s Goddard Space Flight Center, in Greenbelt, Maryland, is soliciting statements of interest for full-time PhD level civil servant scientist positions for early career through senior levels. For details visit http://careers.agu.org/jobs/7385296/nasa-gsfc-earth-sciences-division-sc...

WWF presents GLOBIL to help you make your map accessible to the public free of charge.

WWF presents GLOBIL to help you make your map accessible to the public free of charge.

A common obstacle faced by the public in assessing conservation impacts around them is the difficulty in accessing high quality, peer-reviewed satellite-derived information or maps developed by researchers. To help alleviate this issue, the WWF presents GLOBIL (globil.panda.org) – WWF’s Global Observation and Biodiversity Information Portal, their institutional ArcGIS online account, which will post geo-spatial data for the public and internal use free of cost. They will provide a web service of your data with:

LCLUC research featured as NASA Earth Observation Image of the Day!

LCLUC research featured as NASA Earth Observation Image of the Day!

From the NASA EO story: Political change in eastern Europe and Russia has left its mark on forests. A research team led by Peter Potapov of the University of Maryland analyzed 52,539 images collected by Landsat satellites between 1985 and 2012. “Forests generally recovered quickly,” noted Potapov. “Only 12 percent of the areas that experienced forest loss prior to 1995 had not yet recovered by 2012.”