Using Geospatial Technologies to Map Hurricane Response
Using satellite data and artificial intelligence, researchers have developed a way to rapidly map hurricane destruction.
Using satellite data and artificial intelligence, researchers have developed a way to rapidly map hurricane destruction.
The use of spatial interpolation methods in GIS have proven vital from areas such as public health to interpreting weather patterns.
Machine learning, satellite imagery, and data on forest ecology can be brought together to create better information for resource managers by mapping forest resources.
Mapping swarms of jellyfish has significantly improved due to a combination of remote sensing data, UAV and satellite data, and algorithms that estimate jellyfish migration based on current data.
Remote sensing and geospatial technologies are being harnessed for carbon offsetting efforts.
Satellites are being used to measure heat not only on urban heat islands, but also on farms and other locations where rising temperatures are having an impact.
Over 95% of the world’s lakes, rivers, and freshwater reservoirs will be measured by a new satellite mission called Surface Water and Ocean Topography (SWOT).
Geospatial data such as satellite imagery can be used by journalists to verify news stories.
Sentinel-1 synthetic aperture radar (SAR) satellite photography has been used in new study to map oil slicks.
GIS and spatial technologies could help to lessen the impact of supply chains, which are causing some of the high inflation prices.
Researchers are increasingly use UAS/UAV platforms for measuring snow cover data, particularly snow depth.
Academics are increasingly adopting machine learning maps to better understand what can happen for a range of environmental events.