CALL FOR DATA: Japan Sendai Earthquake Data Portal

Call for Geospatial Data Sharing through the Japan Sendai Earthquake Data Portal
 
In response to the 8.9 magnitude earthquake, which struck offshore Sendai, Japan on Mar 11th 2011, the Center for Geographic Analysis at Harvard University has launched the Japan Sendai Earthquake Data Portal (http://cegrp.cga.harvard.edu/japan/) to support the exchange of geospatial datasets for relief and reconstruction efforts. The portal works best with a Firefox browser.
 
If you have geospatial data about the earthquake impacted regions (such as satellite images, aerial photos, GIS data sets, or other data files that bear locational references) before or after the March 11th earthquake, please consider sharing them through this portal.
 
To contribute datasets to the portal, please email us to obtain the Secure FTP login information: chgis [AT] fas.harvard.edu.
 
You are also welcome to search our portal for related news and available data to download and use. All copyrights are retained by the original producers of the data, and downloads from this portal are for academic, non-commercial, relief and reconstruction efforts only.
 
________________________________________________________
Wendy Guan, Ph.D.                               
Director of GIS Research Services        
Center for Geographic Analysis               
Harvard University     http://gis.harvard.edu                        
 

Tags: , , , , , , , , , , , , , , , , , , ,

One response to “CALL FOR DATA: Japan Sendai Earthquake Data Portal”

  1. amir says :

    hope japan will be fine soon …

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: