Asian Surveying & Mapping
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Swedish Space Corporation Introduces Their Global Ka-Band Network
Swedish Space Corporation (SSC) has geared up to meet...
ASA releases EO from Space Roadmap
The Australian Space Agency (ASA) has set out its...
Omicron map: this interactive map shows where the COVID-19 variant has spread so far
The Omicron Covid-19 variant has the world on pins and...
Australian Space Agency releases Earth Observation from Space roadmap
The Advancing Space: Australian Civil Space Strategy 2019-2028 identified...
China Launches New Satellite For Earth Observation
A Long March-4C carrier rocket carrying the Gaofen-3 02...
Ouster Expands to Japan and South Korea to Support Growing Demand for High-Resolution Digital Lidar Sensors
SAN FRANCISCO - Ouster, Inc. (NYSE: OUST) (“Ouster” or...
New Zealand’s Counties Energy Partners with GE Digital for its Digital Utility Transformation
GE Digital today announced that Counties Energy, an electricity distribution network...
The Hong Kong Institute of Surveyors: Best Development & Conservation Award 2021 Surveying Excellence in Development and Conservation
HONG KONG SAR  - The results of HKIS Best...
India, Japan researchers working on smartphone-based mapping of cracks, potholes in roads
The joint project is aimed at developing an affordable...
Dubai Airshow 2021: Israeli companies offer space systems, UAVs to the Middle East
UAVs and new communications and Earth observation satellites were...

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