DigitalGlobe’s professional-grade basemaps offer the accurate, current, high-resolution imagery and geospatial information you need to answer critical questions with confidence.
Whether you need a single, current image to observe detail on the ground, or access to the entire image repository to see change over time, you can customize your Basemap subscription to fit your needs.
MyDigitalGlobe is an easy way to access premium imagery content through your web browser, and is included with all Basemap subscriptions.
DigitalGlobe has pre-built plug-ins to add Basemap quickly and easily into workflows for ArcGIS and Google Earth. Developers can also access the content directly from our suite of APIs through OGC-compliant standards: WMS, WMTS, WCS, WFS.
The GBDX platform provides cloud-based access to DigitalGlobe’s vast current and historical library of geospatial data along with the tools and algorithms necessary to extract useful information from that data — at scale! This creates the ideal ecosystem for you to create new customer solutions without the cost of owning and operating costly data and IT infrastructure. Using the platform you can
GBDX uses the cloud infrastructure of Amazon Web Service (AWS) to enable a set of APIs that can perform scaleable geo-compute against imagery data. The GBDX environment enables simple access to both storage and computation in a manner that is easily managed. GBDX is bringing the compute to the data rather than the data to the compute. Data residing within GBDX is stored in S3 ‘buckets’ that are accessed through GBDX RESTful (REST) web service APIs. The GBDX Workflow API enables you to access state of the art computer vision and remote sensing algorithms from DigitalGlobe and ENVI, dynamically increasing computation power. If you don’t like the built in tools, thats fine, just import your own algorithms into the system to allow them to run at scale.
Complete access to 15 years of earth imageryDigitalGlobe owns and operates the most agile and sophisticated constellation of commercial earth imaging satellites in the world which collect 3,000,000 km2 of Earth imagery every day. Of all high-resolution commercial imagery collected since 2010, DigitalGlobe has collected approximately 80% of it.
A hands-on workshop on visualizing spatial data with R.
Learn how to script geoprocessing tools with ArcPy!
The Spatial Analysis Center is having a four part workshop on using ArcPy for automating geoprocessing tasks. There will be approximately three hours of instruction and practice with time for experimentation and consulting with SGC and SAC staff. The workshop will cover calling ArcGIS tools and functions with Python, handling vector and raster data formats, building your own tools for ArcGIS, and any other topics of interest to those who show up.
Come learn about how to build web maps with Mapbox tools! We will cover how to find and download custom data, styling your map with Mapbox Studio, and using your style to create static maps and interactive web maps with Mapbox GL JS. There will also be time for questions and to poke around other parts of the Mapbox stack (including mobile!) so come ready to learn and ask questions. Please bring a laptop if you can. Beginners very welcome!
Hivemapper is transforming the worlds' drone videos to a 3D map of the earth. By combining the power of artificial intelligence and drone videos we create a fresh 3D map of the earth to help humans see the earth from a new perspective and understand how it’s changing. Everybody will be able to participate in creating the map by simply sharing their drone videos
Who's On First is a gazetteer of places. Not quite all the places in the world but a whole lot of them and, we hope, the kinds of places that we mostly share in common.
A gazetteer is a big list of places, each with a stable identifier and some number of descriptive properties about that location.
An interesting way to think about a gazetteer is to consider it as the space where debate about a place is managed but not decided. We call our gazetteer Who's On First (or sometimes "WOF" for short). According toWikipedia, Who’s on First:
...is a comedy routine made famous by Abbott and Costello. The premise of the sketch is that Abbott is identifying the players on a baseball team for Costello, but their names and nicknames can be interpreted as non-responsive answers to Costello's questions. For example, the first baseman is named "Who"; thus, the utterance "Who's on first" is ambiguous between the question ("Which person is the first baseman?") and the answer ("The name of the first baseman is 'Who'"). "Who's on First?" is descended from turn-of-the-century burlesque sketches that used plays on words and names. Examples are "The Baker Scene" (the shop is located on Watt Street) and "Who Dyed" (the owner is named Who). In the 1930 movie Cracked Nuts, comedians Bert Wheeler and Robert Woolsey examine a map of a mythical kingdom with dialogue like this: "What is next to Which." "What is the name of the town next to Which?" "Yes." In English music halls (Britain's equivalent of vaudeville theatres), comedian Will Hay performed a routine in the early 1930s (and possibly earlier) as a schoolmaster interviewing a schoolboy named Howe who came from Ware but now lives in Wye.
Which sort of sums up the problem of geo, nicely. It might be easier, perhaps, if we all understood and experienced the world as coordinate data but we don’t, so the burden of “place” and its many meanings is one we trundle along with to this day.
Our gazetteer is absolutely not finished – both in terms of data coverage as well as data quality – so, in the near-term, you should adjust your expectations accordingly when you approach the data. We are releasing the data now because we believe it is important not just to articulate our goals and intentions around the project but also to back them up with tangible proofs.
Taking images of raster maps, this talk shows one possible method to convert them to graph data, explaining the problems involved and trying to minimize user input.
“Kindred London” is the main element in the second phase of development for the digital humanities project Kindred Britain ( http://kindred.stanford.edu ).
This new work involves creating a cutting-edge interactive mapping experiment centered on 17th-20th century London. Our field of study is the British capital as it existed between two massive conflagrations, the Great Fire of 1666 and the Blitz of 1940. We use as canvases four extraordinarily beautiful maps of the city:
Our goal is to bring advanced computational and visualization techniques, such as route-finding, to the study of the past and to the history of mapped spaces. And for us success means not so much providing clear-cut, analytic answers to specific research questions, as it does in enabling something more poetic, speculative and open-ended. On a foundation of deep scholarship, we want our users to explore the vanished world of London in a way that is almost like a subjective, physical experience.
NGA is organizing itself so that commercial and academic innovators increasingly become critical teammates. How are we looking to do that and why? And what opportunities are there for the academic community?
Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users.
Earth Engine stores satellite imagery, organizes it, and makes it available for the first time for global-scale data mining. The public data archive includes historical earth imagery going back more than forty years, and new imagery is collected every day. Earth Engine also provides APIs in JavaScript and Python, as well as other tools, to enable the analysis of large datasets.
The Earth Engine API (application programming interface) provides the ability to create your own algorithms to process raster and vector imagery. This session is geared toward people who would like to analyze satellite and vector data. The session will be hands-on, using the Earth Engine Javascript code editor. This part of the class will focus on accessing imagery, creating composites, and running analyses over stacks of images.
Prerequisites: Familiarity with at least one software language (Javascript or Python is a plus!), or at least not be afraid of learning as we go.
OSM GeoWeek calls on teachers, students, community groups, governments, private sector organizations, and map-lovers around the world to come together to celebrate geography and make maps with OpenStreetMap, the free and openly editable map of the world. The purpose of this event is to actively contribute to OpenStreetMap.
This year, OSM GeoWeek will be held during the week of November 14th.
OSM GeoWeek presents a great opportunity for students and colleagues alike to participate in something both meaningful and fun just before final exams. As you know, participants don’t need any special expertise, just basic computer skills. Please see
Missing Maps project - a joint effort founded by the American Red Cross, British Red Cross, the Humanitarian OpenStreetMap Team and Doctors Without Borders (MSF-UK). The objective of Missing Maps is simple: to map the most vulnerable places in the developing world
so that local and international NGOs, communities, and individuals can use the maps and the data to better prepare for and respond to crises affecting the areas. The project seeks to literally and figuratively put people, and their communities, on the map.
Missing Maps takes an open, collaborative, and community-based approach and is powered by the enthusiasm and hard work of digital/remote volunteers both in the US and abroad. Please see
Since the project started in 2014, over 13,500 volunteers have participated, collectively putting 20.5 million people on the map in OSM. We would love your help in helping this number to grow! To learn more about hosting a mapathon please
The first in a series of workshops given by the Stanford Geospatial Center (SGC). This introductory session will focus upon the fundamental concepts and skills needed to begin using Geographic Information Systems software for the exploration and analysis of spatial data using the open QGIS platform.
Topics will include:
What is GIS?
Spatial Data Models and Formats
Projections and Coordinate Systems
Basic Data Management
The ArcMap User Interface
Simple Analysis using Visualization
For convenience, attendees are encouraged to arrive with QGIS already installed. You can find the installers, here:
