"features": [ { "type": "Feature", "properties": { "feature_type": "road", "style": { "width": 16.3 }, "feature_subtype": "vector" }, "geometry": { "type": "LineString", "coordinates": [ [ -81.95043380, 26.57035169 ], [ -81.95024550, 26.57004145 ], ... ] } }, ... ]
"features": [ { "type": "Feature", "geometry": { ... }, "properties": { "first_seen": "2012-12-05", ... } }, { "type": "Feature", "geometry": { ... }, "properties": { "first_seen": "2018-02-20", ... } }, ... ]
"features": [ { "type": "Feature", "properties": { "feature_type": "building" }, "geometry": { "type": "Polygon", "coordinates": [[ [ -81.88908576, 27.37165296 ], [ -81.89217567, 27.37134808 ], [ -81.89105987, 27.36704148 ], [ -81.88560962, 27.36772750 ], [ -81.88908576, 27.37165296 ] ]] } }, ... ]
| ID | First Seen | Longitude | Latitude |
|---|---|---|---|
| 1 | 2011-09-06 | -122.27394576 | 47.56339521 |
| 2 | 2011-09-06 | -122.27403204 | 47.56340476 |
| 3 | 2011-09-06 | -122.27247689 | 47.56338590 |
| 4 | 2011-09-06 | -122.27402521 | 47.56341821 |
| 5 | 2011-09-06 | -122.28215380 | 47.56347387 |
| 6 | 2016-04-20 | -122.27402508 | 47.56342721 |
| 7 | 2016-04-20 | -122.27236378 | 47.56339418 |
| 8 | 2016-04-20 | -122.28154890 | 47.56347458 |
| 9 | 2016-04-20 | -122.27351299 | 47.56344646 |
| 10 | 2016-04-20 | -122.28213306 | 47.56353223 |
| ID | Roof Type | Longitude | Latitude |
|---|---|---|---|
| 1 | non-flat | -0.18583953 | 51.35644693 |
| 2 | non-flat | -0.18659591 | 51.35627273 |
| 3 | non-flat | -0.18694996 | 51.35605163 |
| 4 | non-flat | -0.18744349 | 51.35598798 |
| 5 | non-flat | -0.18524408 | 51.35630623 |
| 6 | flat | -0.18679976 | 51.35548214 |
| 7 | flat | -0.18620967 | 51.35557594 |
| 8 | flat | -0.18559813 | 51.35568984 |
| 9 | flat | -0.18640279 | 51.35525433 |
| 10 | flat | -0.18588781 | 51.35536153 |
"features": [ { "geometry": { ... }, "type": "Feature", "properties": { "shape_type": "polygon", "feature_type": "building", "building_type": "commercial" } }, { "geometry": { ... }, "type": "Feature", "properties": { "shape_type": "polygon", "feature_type": "building", "building_type": "residential" } } ]
Our technology is applicable across a broad array of uses and industries, from energy and insurance to real estate, compliance, and many more. Connect with us to discover how our technology can transform how you see the world.
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Imagery ©2018 DigitalGlobeFirst, we work with high quality satellite image providers like DigitalGlobe and Planet to acquire imagery for the specified date and region.
Imagery ©2018 DigitalGlobeNext, we run one of our deep learning algorithms on the imagery. This produces a confidence that each pixel is part of the target feature (in this example, buildings).
Imagery ©2018 DigitalGlobeFinally, we use a suite of computer vision techniques to turn these probabilities into usable data such as shape, size, and density of buildings.
