The United Nations International Conference on Space-based Technologies for Disaster Management - "A consolidating role in the implementation of the Sendai Framework for
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The United Nations International Conference on Space-based Technologies for Disaster Management - "A consolidating role in the implementation of the Sendai Framework for Disaster Risk Reduction: 2015-2030 “ was successfully conducted from 14 to 16 September 2015.
The Indonesian National Institute of Aeronautics and Space (LAPAN), UN-SPIDER’s Regional Support Office, has stated that Indonesia would face in 2015 the worst drought in the past five years, which would affect 80 per cent of the country’s territory, except for Kalimantan and Sumatra.
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The 12th session of the Conference of the Parties (COP 12) to the UN Convention to Combat Desertification (UNCCD) will take place over two weeks in Ankara, Turkey. As the Convention's primary decision-making body, the COP will meet to discuss and make decisions regarding the Convention's implementation.
Floods, landslides, and droughts are hazards that are triggered by excess or shortage of precipitation. Monitoring precipitation is important to see those hazards coming and to enable decision makers to take measures as early as possible. Precipitation data - together with anciliary data - thus help to prevent that natural hazards turn into disasters.
For three years south eastern and eastern Brazil has been experiencing one of its worst droughts in a century and satellite images captured by Landsat-8 in the first months of 2015 do not bring any hope.
Early detection of droughts is important for managing emerging crop losses to prevent or mitigate possible related famines, and for dealing with increased fire risk. Satellite imagery helps to monitor precipitation, soil moisture, and vegetation health to support drought early warning systems. It is used to feed monthly drought bulletins and to issue warnings. Near-real-time data related to drought are available free of charge via several regional and global platforms.
Land cover information is important for many applications like flood modeling, observation of agricultural drought, climate change modeling, and monitoring of environmental changes including vegetation phenology, flooding, fire occurrence, and monitoring of carbon emission due to deforestation and forest degradation.