Use Cases

This notebooks 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
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.
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.
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.
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.
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.
This notebooks 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.
Using SWIR data to explore and extract the location of active fires in Southern California.
Methods described here using image processing color slicing method to create binary mask of ships. Ships are then vectorized.
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.
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.
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.
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.