There are many circumstances where the amount of data vastly exceeds the ability to process and analyze it—and computers can only do so much. Enter crowdsourcing. Steve Coast points to Digital Globe’s Tomnod project, which basically crowdsources satellite image analysis. In the case of the current project to map the presence of Weddell seals on the Antarctic Peninsula and the ice floes of the Weddell Sea, users are given an image tile and asked to indicate whether there are seals in the image. It’s harder than it looks, but it’s the kind of routine task that most people can do—many hands, light work and all that—and it helps researchers focus their attention where it needs focusing. (A similar campaign for the Ross Sea took place in 2016.)
Another ongoing campaign asks users to identify flooded and damaged infrastructure and trash heaps in post-Hurricane Maria Puerto Rico.
This NOAA article looks at three kinds of imagery provided by the GOES-16 geostationary weather satellite: GeoColor, the Geostationary Lightning Mapper (!), and full disk infrared imagery from the Advanced Baseline Imager. GOES-16 launched last November and is currently in the checkout phase before it replaces GOES-13 at 75° west latitude.
Today Esri is proud to announce that we are making our own global collection of satellite imagery available to the OSM community directly through our existing World Imagery Service. This regularly updated resource provides one meter or better satellite and aerial photography in many parts of the world, 15m TerraColor imagery at small and mid-scales (~1:591M down to ~1:72k), 2.5m SPOT Imagery (~1:288k to ~1:72k), 1 meter or better NAIP in the US and many other curated sources, so we know it will make a welcome addition to OSM’s growing catalog of reference layers.
OSM editors have been able to trace maps from satellite imagery for years; other sources of such imagery have included Bing and Yahoo (back when Yahoo Maps was a thing). Different sources have different strengths, so this can only help the project. (Esri’s imagery makes no difference where I am, but that’s not a surprise.)
NASA’s page on Hurricane Harvey has been updated many times, sometimes several times a day, since Harvey began its life as Tropical Depression 9 on 17 August. It includes plenty of satellite imagery of the storm, as well as temperature and rainfall maps.
Danish officials today announced promising initial results of a project using satellites to collect cartographic data faster and more efficiently than has been possible using aeroplanes.
The project involved using SPOT 6 and 7, two commercially operated European satellites, flying at an altitude of 700km to collect images of four specific areas […]. The pictures they returned over a two-year period beginning in 2015 each measure 360 square km. Objects as small as 1.5 m can be discerned in the pictures, making them detailed enough to be used to make precise, high-resolution maps.
Cartographers are now in the process of turning the data into finished, on-line maps. The maps themselves are expected to publicly available by autumn. But, even before that, the data gathered by the satellites will be placed on-line.
Meanwhile, the Ottawa-Gatineau urban agglomeration (which is, as urban areas go, the closest to where I currently live) has, according to the census, grown by 5.5 percent since 2011, to a total population of 1.3 million. Much of that growth has occurred in suburbs that barely existed even when I moved to the region in 1999. This CBC Ottawa feature uses the Google Earth engine’s timelapse video function to chart the growth of seven of those suburbs. (Above: the Gatineau suburb of Aylmer.)
Meanwhile, Google’s parent company, Alphabet, seems to be scaling back its satellite imaging ambitions: it’s apparently in talks to sell its Terra Bella division, which it acquired as Skybox Imaging for $500 million in 2014, to competitor Planet. [Engadget]
DigitalGlobe’s satellite imagery of the Fort McMurray wildfire, which uses “short wave infrared imagery (SWIR) to ‘cut’ through the smoke and identify the active footprint and burning hotspots” and reveals where buildings have been damaged or destroyed by the fire, can be viewed at Gizmodo and on DigitalGlobe’s own blog.