Asian Surveying & Mapping
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Safran, SatSure partner to develop geospatial intelligence solutions for India
French aerospace giant Safran Electronics & Defense and Indian...
Singapore unveils road map to help develop international business standards and conformance
Singapore has unveiled plans to help develop international standards...
Adelaide University to run space and defence venture launchpad ahead of Australian Space Forum
Adelaide University’s Innovation & Collaboration Centre (ICC) will deliver...
Japan’s H3 rocket returns to space with successful launch after December setback
Japan’s flagship H3 rocket has returned to flight six...
KONGSBERG accelerates seabed mapping developments with Ocean Exploration Trust expedition aboard Exploration Vessel Nautilus
KONGSBERG and the Ocean Exploration Trust (OET) are set...
Russian satellites linked to mysterious GPS disruptions across several countries
Since 2019, GPS signals across Europe, Greenland and Canada...
Isro’s Bahubali LVM3 that launched Chandrayaan-3 to be handed to private sector
IN-SPACe has invited Indian companies to take over the...
India to host 13th UN Global Geospatial Information Management Asia-Pacific Conference
India is hosting the 13th United Nations Global Geospatial...
Unseenlabs’ BRO-22 to Become the First Foreign Private Satellite Launched Aboard Japan’s H3 Launch Vehicle
Scheduled for June 10, between 09:53 and 11:52 a.m....
PLD Space increases investment in its Launch Complex at the Guiana Space Centre (CSG) to €35M, strengthening Europe’s sovereign space infrastructure
The investment is expected to generate approximately €21 million...

January 13th, 2011
Flood Inundation Mapping- An Application of Remote Sensing Techniques

This paper describes two applications of remote sensing on a near-real time mapping of flood inundation and crop health in the light of natural disaster and crop monitoring. The mapping of flood inundation was carried out over Bihar state of India during monsoon 2008. The moderate spatial resolution of the MODIS sensor (250m up to 1km pixel size), along with its frequent acquisition of twice daily, make it theoretically ideal for mapping flood inundation, however it is often subject to cloud cover particularly during flood events. Read More