Use Cases

In this GBDX Notebook, we demonstrate the potential for using GBDX and Ecopia Building Footprints Powered by Digital Globe to assess potential property risks to buildings from the presence of nearby trees. Our focus is on a neighborhood in western Boulder County, Colorado.
Notebook by: Mike Gleason (michael.gleason@digitalglobe.com) In this GBDX Notebook, we demonstrate the potential for using GBDX and Ecopia Building Footprints to assess the forest fire risk to buildings in Shaver Lake, CA by quantifying the tree coverage in the area around each building.
Notebook by Mike Gleason (michael.gleason@digitalglobe.com) Ecopia Building Footprints powered by Digitalglobe are an off-the-shelf Information Product that are produced by one of DigitalGlobe's Information Partners, Ecopia. In this GBDX Notebook, we explore how products such as GBDX Building Footprints can be combined with the analytical capabilities of GBDX to produce additional data and insights.
In this GBDX Notebook, we demonstrate how a combination of DigitalGlobe products can be used to start mapping the airspace for drones and unmanned aerial vehicles (UAVs) in urban environments. Originally written by Mike Gleason (michael.gleason@digitalglobe.com) with updates by Chloé Hampton (chloe.hampton@digitalglobe.com)
Methods described here using image processing color slicing method to create binary mask of ships. Ships are then vectorized.
Notebook by: Chloé Hampton (chloe.hamption@digitalglobe.com) and Martha Morrissey (martha.morrissey@digitalglobe.com) A notebook that shows refugee tent growth at the Rukban camp in Syria. Created by Chloé Hampton and Martha Morrissey, with help from Mike Foster, Mike Gleason, and Sean Gorman.
This notebook uses a combination of Ecopia Building Footprints and application of the Spectral Angle Mapper (SAM) algorithm to 8-band imagery to estimate impacts from the Carr wildfires. Written by Mike Foster (mike.foster@digitalglobe.com)
Notebook by: Mike Gleason (michael.gleason@digitalglobe.com) It's easy to think about GBDX and GBDX Notebooks as simply a place to access imagery and do analysis; however, the true power of these tools lies in their potential to produce new information and provide insight to specific research questions or business use-cases. This Notebook demonstrates a simple example of how GBDX can enable you to quickly climb the ladder from imagery to insights. To do so, we start by doing some analysis to extract boats from an image, extend that analysis over the historical archive of imagery in the selected location, and then bring in ancillary data to gain insights into the observed variability in boat traffic.
This Notebook demonstrates a workflow to detect the installation of temporary blue roofing following Hurricane Maria in Puerto Rico. We then apply that workflow over neighborhoods in multiple towns, and review and interpret the results. Written by Mike Gleason (michael.gleason@digitalglobe.com)
This notebooks by Sean Gorman provides a set of images and data visualization patterns to look at pre and post event imagery for the eruption of the Volcan de Fuergo
This notebooks by Sean Gorman provides a search function to look across multiple satellite sensors to find imagery for wildfire analysis. It then shows an analysis pattern for calculating NBR based burn areas and turning them into vector geometries. The methods are portable geographically and should be pluggable into any wildfire scenario to map burn areas.
Notebook by: Laura Atkinson (laura.atkinson@digitalglobe.com) The goal of this notebook is the utilize both DigitalGlobe imagery and LiDAR data to automatically extract trees. LiDAR allows us to create highly detailed 3D models of the earths surface. Areas high in vegetation have high values in the normalized difference vegetation index (NDVI). Also trees are taller than other types of vegetation such as grass and shrubs. By combining these two data sources we can find tall vegetated areas, aka Trees.
Notebook by: Mike Foster (mike.foster@digitalglobe.com) This notebook demonstrates creation of a preliminary flood map product from MDA RADARSAT-2 imagery pairs hosted on GBDX.
Notebook by: Chris Helm (chris.helm@digitalglobe.com) An example of comparing changes in imagery over time in Dubai. This notebook explores ways to collect several images, compute water indices from each, extract vector features, and compare changes to land area over time.
Notebook by: Chris Helm (chris.helm@digitalglobe.com) Using SWIR data to explore and extract the location of active fires in Southern California.
Notebook by Mike Gleason (michael.gleason@digitalglobe.com) This Notebook demonstrates a simple workflow for identifying standing water in an image, extracting and rasterizing roads vectors from OpenStreetMap, and assessing the extent of road flooding.