Asian Surveying & Mapping
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Synspective and GCRS Announce Partnership for SAR Satellite-Based Risk Analysis Solutions in South Asia
Geo Climate Risk  Solutions Pvt. Ltd. (GCRS), a solution...
Teledyne Optech Galaxy T2000 mobilized for earthquake recovery and reconstruction effort in China
Vaughan, Ontario, CANADA – Teledyne Geospatial announced that the State...
Presagis Teams with Kambill Systems to Provide Artificial Intelligence-Based Geospatial Services in Asia Pacific
First two Contracts Awarded by Indian National Survey Agency/State...
Synspective and GCRS Announce Partnership for SAR Satellite-Based Risk Analysis Solutions in South Asia
2022 November 15, Tokyo – Geo Climate Risk Solutions...
Fugro opens state-of-the-art space control centre SpAARC in Perth
Fugro has officially opened the Australian Space Automation, Artificial...
Chinese scientists create new detailed map of moon rocks
BEIJING - Chinese scientists have created a high-resolution map...
Russia and Iran expand space cooperation
Russia and Iran are gradually expanding their cooperation in...
Korea bolsters spatial data cooperation with Tanzania, Ethiopia
The government will help Tanzania and Ethiopia with effective...
SALT iConnections Asia to Convene Top Alternative Investment Leaders in Singapore Next Month
NEW YORK and SINGAPORE - SALT, a premier global thought leadership...
Malaysian Government’s JUPEM Selects SimActive’s Correlator3D™ Software for Data Processing
SimActive, Inc., a world-leading photogrammetry software developer was selected...

August 17th, 2011
Connecting Environmental Observations with Cholera Outbreaks in Bangladesh

A predictive tool capable of giving better advanced warning of potential outbreaks in specific locations would allow for proactive, preventative responses and minimize negative effects. Remote sensing products can be used to better understand the correlation between outbreak occurrence, sea surface temperature (SST), sea surface height (SSH), salinity, and chlorophyll-a estimates. Using data gathered by NASA SeaWiFS and MODIS sensors, a gridded global image will be developed which will allow for a better understanding of the relationship between the data observed within the context of geographically diverse locations. Read More