Our customers leverage GO to analyze vast amounts of satellite imagery, allowing them to continuously monitor areas of interest at scale, and making analysts' time more efficient by automatically identifying trends and anomalies.
We regularly release optimizations and bugfixes to make your overall GO experience better & faster. In the last month, we have:
We have published a dashboard in GO Analysis, benchmarking the performance of our foot traffic normalization algorithm, vs a ground-truth dataset of TSA security checkpoint foot traffic at 438 airports.
Easily manage and re-use existing areas of interest (AOIs), with our new AOI Library feature in GO.
Easily access and use a catalog of 3.7 million AOIs for analysis in your GO projects.
We have made a major update to the GO Analysis environment, with an upgrade to Python 3.8. The major changes are:
We added the ability to easily navigate up and down the time line using your left and right arrow keys. Or click the left and right arrows on the the date pill on the time series chart.
With Heatmaps in GO we unlock a key aspect of foot traffic analysis. Not only can you analyze the time series for your areas of interest, but now you can also assess how foot traffic is varying spatially. Where do 'hotspots' and 'cold spots' occur and what does that mean for your AOIs? Select "Heatmap visualization" under Foot Traffic and select your preferred resolution to get started.
Group projects that belong together. Select your project and click "Group", or drag-and-drop a project to an existing group.