Orbitra
A map-first dashboard for tracking satellite imagery over chosen areas: how often new images arrive, from which vendors, and when the last clear one came in.
A client dashboard shown under a different name.
- Role
- UI/UX Designer
- Platform
- Web
- Software
- Figma
- Design system
- Component library in Figma
Try the prototype
A satellite imagery browser, built from the Figma board. Draw an area on the map to see every capture over it, read its metrics, open an image on the map or full size, and save the area as a site to get notified about new captures.
Use the square in the bottom bar to draw an area, or the tools on the right to drop a pin or measure. Scroll or use the zoom bar to go from the whole country down to street level.
Best on a laptop or desktop screen.
The problem
Teams watch a list of areas of interest and need to know when new satellite images land over them. The data comes from several vendors, at different resolutions and cloud cover, so the brief asked for acquisition metrics per area, a vendor breakdown, a calendar of acquisitions and alerts for new images.
Features
- ·AI analyses movement hotspots across the monitored areas
- ·Image library per area: oldest and newest image, total, average, most recent and most recent clear image
- ·Acquisition counts for the last 24 hours, 72 hours, 7, 30 and 90 days, with the change over time
- ·Image list with date, sensor, vendor, cloud cover, resolution and type, in UTC or local time
- ·Thumbnail browse with a calendar of acquisition days
- ·Image detail with metadata and its footprint on the map
- ·Draw an area on the map and see its image counts right away
- ·Saved sites with frequency, gap and most recent image, plus a strip of recent acquisitions
- ·Groups for organising sites
- ·Together with Glimpse, Sunlight and ThutoTime, the design work lifted retention by 20–35% and conversion by up to 50%
Approach
- 01
Map first
ProblemThe areas only make sense in their place on the map.
SolutionThe map fills the screen and every list sits in a side panel next to it, so image footprints, areas and metrics stay in view together.
- 02
Metrics
ProblemThe brief asked how often imagery arrives, the longest gaps and the latest clear image for each area.
SolutionEach area opens on a row of key numbers and the counts for 24 hours through 90 days, each with its change, above the image list.
- 03
Browsing images
ProblemA table of image IDs tells little about what was captured.
SolutionThe library switches between the table and thumbnails, with a calendar that marks the days images arrived. Opening an image shows its metadata and places it on the map.
- 04
Areas and sites
ProblemPeople define areas on the fly and come back to the same ones.
SolutionDrawing an area on the map shows its acquisition stats in a card; it can then be saved as a site and assigned to a group. Saved sites list their frequency, gaps and recent acquisitions.
