Earth imaging basics: spatial resolution.

Spatial resolution is the core way in which we benchmark satellite imagery.

What spatial resolution do you require? That depends on what you need to see.

By |

Earth Imaging Basics: Temporal Resolution

We all have a favorite place we hope will never change. A hometown or vacation spot maybe. But over time, places do change. Sometimes due to economic conditions. Sometimes due to environmental shifts. Temporal resolution helps us see these changes from space. While spatial resolution refers to the distance between pixels in an image, and [...]

By |

RADARSAT-2 Automated Change Detection On GBDX: How It Works

The RADARSAT-2 satellite enables new capabilities that complement optical satellite data such as broad area change alerting and all season/weather target monitoring. The RADARSAT-2 mission provides a unique imaging mode called ExtraFine which has 5m resolution and a scene size of 125 km x 135 km so it can provide complete overlapping coverage, even at [...]

By |


For the past three years, DigitalGlobe’s Geospatial Big Data platform (GBDX) has been making it simple and fast (and fun!) for the geospatial industry to apply continent-scale machine learning and information extraction processing to the world’s best commercial high-resolution optical satellite imagery. An ecosystem of innovators from across the globe are bringing their expertise in [...]

By |

Finding Oil Tanks With GBDX Image-filtering Algorithms

Estimating oil reserves from high-resolution satellite imagery has become rather fashionable in our budding geospatial-analytics-from-space industry. We have developed a geospatial image analysis and processing software suite available to GBDX subscribers, which uses state of the art hierarchical image representation structures for the efficient organization, access and retrieval of the image information content.

Send this to a friend