Continuum Analytics sees direct usage applications for the image analysis and machine learning pipeline in the areas of: - NASA land use and land cover analysis and change detection products - NASA volcanic thermal measurement and monitoring - NASA snow and water balance products - NASA classifications for hydrologic and geomorphic features, such as wetland delineation and mapping of nuisance algal blooms and other water column features, similar to the work described in the HyspIRI 2015 HyspIRI Aquatic Studies Group (HASG) Report
The team sees direct usage application of the image analysis and machine learning pipeline outside of NASA, such as: - NOAA mission-related research to predict changes in climate, weather, oceans and coast, and conserving and managing coasting and marine ecosystems and resources. - DOD/IC - foreign defense and homeland security applications - Commercial infrastructure and engineering, disaster management and mitigation analysis, natural resource monitoring, energy-related exploration and operational management. - Flood and floodplain mapping for insurance adjustments, bridge construction projects, FEMA floodplain definitions, river habitat and restoration projects, and emergency planning at local, state, and federal agencies - Forest disease and insect damage density identification for large commercial forest owners - Snow and ice cover and recession analysis useful in climate change and water management planning at federal, state, and local agencies - Developing spectral identifiers of agricultural crops in healthy versus water and nutrient stressed conditions - Classifying parking lots and roads based on the number of vehicles evidently in the image, an indicator of economic activity and also potentially useful in federal security applications - Mapping ecologically sensitive and geotechnically unstable areas, such as wetlands and mass wasting events, useful for reducing the cost of development review in local, state, and federal environmental agencies
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