March, 2016


Spatial Analysis

Elevation models show the SS Sansip (left) and the SS Samvurn (right) as imaged by a multibeam echosounder. Both of these ships leave sediment plumes detectable by Landsat 8 during ebb and flood tides. Source: Matthias Baeye et alElevation models show the SS Sansip (left) and the SS Samvurn (right) as imaged by a multibeam echosounder. Both of these ships leave sediment plumes detectable by Landsat 8 during ebb and flood tides. Source: Matthias Baeye et al

Using Landsat Imagery to Find Shipwrecks

Satellite imagery from Landsat 8 has been used by a Belgian marine research institute to detect shallow water shipwrecks. Satellite imagery from Landsat 8 can detect the concentration of sand and silt particles in the ocean, which can then be used to pinpoint a potential shipwreck location.

GIS Learning

The examples on the left are the query photos. In response, PlaNet will output a probability distribution on the map. In these three examples, the Eiffel Tower (a) is confidently assigned to Paris, the model believes that the fjord photo (b) could have been taken in either New Zealand or Norway. For the beach photo (c), PlaNet assigns the highest probability to southern California (correct), but some probability mass is also assigned to places with similar beaches, like Mexico and the Mediterranean. The authors use a model with a much lower spatial resolution than the full model for visualization purposes. Source: Weyand, Kostrikov, & Philbin, 2016.The examples on the left are the query photos. In response, PlaNet will output a probability distribution on the map. In these three examples, the Eiffel Tower (a) is confidently assigned to Paris, the model believes that the fjord photo (b) could have been taken in either New Zealand or Norway. For the beach photo (c), PlaNet assigns the highest probability to southern California (correct), but some probability mass is also assigned to places with similar beaches, like Mexico and the Mediterranean. The authors use a model with a much lower spatial resolution than the full model for visualization purposes. Source: Weyand, Kostrikov, & Philbin, 2016.

Google’s PlaNet: Geolocating Photos Using Artificial Intelligence

Google and researchers at the Rheinisch­Westfälische Technische Hochschule Aachen University have developed an artificial intelligence system capable of identifying locations more consistently accurately than a human is able to do.

GIS Data

Dense settlements (left) can take advantage of short-range wireless hotspots. Sparse settlements (right) require long-range cellular technology. Images: Digitalglobe.Dense settlements (left) can take advantage of short-range wireless hotspots. Sparse settlements (right) require long-range cellular technology. Images: Digitalglobe.

GIS and Artificial Intelligence Used to Build Facebook’s World Population Map

Facebook has used a combination of existing GIS data, high resolution imagery, and artificial intelligence to develop a detailed population map of the world.