Satellite imagery, read along your lines

High-resolution satellite imagery for power networks, from people who know them.

We turn 30–50 cm satellite imagery into answers along your lines – and you can browse what exists for your corridor in our public marketplace.

Archive image · 50 cm pixels · one corridor
Archive satellite image with 50 cm pixels of a rural power line corridor: tree rows, houses, a road and fields The same corridor with the analysis: the line axis, the 20 m clearance zone on both sides and the tree crowns inside it marked in red
Line axis 20 m clearance zone Tree crowns inside
Archive image, 50 cm pixels. Analysis: the 20 m clearance zone and the tree crowns inside it. Satellite image © CNES 2021, distribution Airbus DS
  • Public marketplace
  • Built for corridors
  • Analysis, not pixels
  • Results in your GIS
What we read from imagery

What we read from satellite imagery along your lines

Close-up of the corridor analysis: tree crowns inside the 20 m clearance zone marked in red on both sides of the line axis
Line axis 20 m clearance zone Tree crowns inside
A section of the corridor above: every crown that reaches into the 20 m zone is outlined.
01

Trees in the clearance zone

Every crown inside the zone you set, per span, with its height band.

50 cm satellite image of a power line corridor with building footprints coloured by distance to the line axis
Line axis 20 m core zone 40 m easement Building in the core zone Building in the easement
Archive 50 cm image with open building footprints, coloured by distance to the line axis. Satellite image © CNES 2021, distribution Airbus DS · Building footprints: Overture Maps Foundation, incl. Google Open Buildings (CC BY 4.0)
02

Buildings in the easement

Structures inside the right-of-way, with their distance to the line axis, and new construction since the last image.

Show
Aerial image of a Callaway, Florida neighbourhood and shopping centre the day after Hurricane Michael: damaged roofs, debris and fallen trees, with a high-voltage line crossing the blocks The same Callaway neighbourhood with the analysis: the power line in orange, buildings near it filled red or amber by distance, and the roads close to the line drawn in thick white
Power line Building within 20 m Building 20–40 m Road inside the 50 m band
Callaway, Florida, the day after Hurricane Michael. Analysis: buildings filled by their distance from the mapped power line, and the road sections inside the line's 50 m band in white. Distances follow open map geometry, so they are approximate. NOAA NGS Emergency Response Imagery (public domain) · © OpenStreetMap contributors · Buildings: Overture Maps Foundation (ODbL), incl. OSM, Esri Community Maps, Microsoft
03

Buildings and roads in the hit area

After a storm, every building and road near the line is sorted by its distance from it, on the first clear image of the area. Crews see which streets to clear and which properties to check first, without waiting for site access.

Satellite image of farmland along the Hármas-Körös river in Hungary in February 2018, standing water on the fields in blue and the power lines in orange
Standing water Power line
Optical satellite image, Békés, Hungary, 24 February 2018: standing water on farmland along the Hármas-Körös river, with the distribution network crossing the waterlogged fields. Measured in this 360 km² window: 7.6 km² of open water on fields, permanent water excluded. Contains modified Copernicus Sentinel data 2018 · © OpenStreetMap contributors
Oblique aerial photo of a flooded street on Edisto Island, South Carolina, after Hurricane Irma: brown floodwater around houses on stilts and a pole line running through the water
The same problem on the ground: floodwater fills a street and surrounds the pole line on Edisto Island, South Carolina, after Hurricane Irma. South Carolina National Guard photo (public domain)
04

Waterlogging and inland excess water

Standing water around poles and access routes after snowmelt or heavy rain, mapped from optical imagery on clear days and with radar when it stays cloudy.

Aerial image of Callaway, Florida, the day after Hurricane Michael in October 2018: tree belts flattened into dark streaks, torn-apart mobile homes and debris between the houses The same Callaway blocks in October 2017, a year before Hurricane Michael: intact tree belts between the streets, mobile home parks and houses
Callaway, Florida: October 2017, a year before Hurricane Michael, against the day after the storm. Drag the divider, or focus it and use the arrow keys. The tree belts between the streets are flattened and several mobile home parks are torn apart; the before image is coarser. Before: USDA NAIP 2017 (public domain) · After: NOAA NGS Emergency Response Imagery (public domain)
A wooden distribution pole with its insulators lying flat in the grass among snapped pine trunks
A distribution pole lies flat among snapped pines after Hurricane Michael. Photo: Georgia National Guard, CC BY 2.0, cropped
A leaning wooden pole top with crossarms, insulators and loose conductors against a stormy sky
A pole top knocked askew, with crossarms and conductors left hanging. Photo: Tony Webster, CC BY 2.0
Fallen pine trunks lying across a road beside a pole line, with a vehicle driving towards them
Fallen pines block a road beside a pole line after Hurricane Beryl. Photo: Jill Carlson, CC BY 2.0
05

Storm and fire damage

Fallen trees across the line, blocked access, burned ground, mapped corridor-wide in one pass.

Forest in Germany's Sauerland in September 2023: clear-cuts made since 2020 in red, regrowth on earlier clearings in green, high-voltage lines in orange
New clear-cut (2020–2023) Regrowth on earlier clearings Power line
Clear-cuts made between August 2020 and September 2023 in Germany's Sauerland, next to the high-voltage lines that cross the forest, with regrowth on earlier clearings shown in green. Measured in this 160 km² window: 9.3 km² new clearing, 0.75 km² regrowth. Contains modified Copernicus Sentinel data 2018–2023 · © OpenStreetMap contributors
06

Change since the last image

New clearing, regrowth after cutting, completed work.

The satellite data marketplace: a selected area on a satellite basemap with the high- and medium-voltage network loaded, and a side panel with the network length and the study band area
The marketplace with an area selected and the public power network loaded: network length and the study band along the lines are calculated on the spot. Basemap: Esri · Network © OpenStreetMap contributors
Public · no login to browse

A public satellite data marketplace, built for corridors

Most imagery shops sell scenes by the square kilometre. Ours starts from your line.

  1. Draw or upload your corridorA line, a buffer, a whole network section.
  2. See what existsCapture dates, cloud cover and resolution along your route.
  3. Order the analysisYou pick the scene, we buy it, process it and deliver the results for your corridor.

Built for power lines; pipelines and rail corridors work the same way.

Use cases across industries

Where does high-resolution satellite imagery pay off?

The technology is the same in every industry: high-resolution imagery, change detection and object recognition. What changes is the question you ask of it.

Utilities

Trees growing toward lines, encroachment in the corridor, access tracks, storm damage along hundreds of kilometres, verification that clearing work was done.

Typical resultTree height bands per span, encroachment lists, work lists for your maintenance system.

Vegetation management →

Forestry

Crown counts, gaps and windthrow, illegal felling, tree height from stereo, forest edge change.

Typical resultTree inventory and change maps as GIS layers.

Hazard tree detection →

Agriculture

Field boundaries, crop damage after hail or flood, drainage problems, orchard and vineyard tree counts.

Typical resultDamage maps and object counts per field or block.

AgriGuard →

Insurance and claims

Before-and-after views of a storm, flood or fire, for many properties at once, without waiting for site access.

Typical resultBefore-and-after damage maps and a report per area.

Construction and mining

Progress monitoring, stockpiles and earthworks, site boundaries, haul roads.

Typical resultChange maps between capture dates, as GIS layers.

Urban planning

New buildings, tree canopy cover in streets, green space, land use change.

Typical resultCanopy and new-building layers, change maps.

After a disaster

Which roads are blocked, which areas are flooded or burned, where to send crews first.

Typical resultDamage and access maps for planning the response.

Storm damage assessment →

Something else?

Not on the list? It is probably still doable: the satellite data and processing are the same, the only difference is what we look for in it.

Describe what you need →
What you receive

What lands on your desk

Span-level risk list

Ranked, with the evidence for each finding.

Per spanPer poleRanked

GIS layers

GeoJSON, Shapefile, KML, ready for your GIS.

GeoJSONSHPKML

Report

A short PDF with the findings and the maps.

PDFMaps

System integration

Work orders straight into your maintenance system.

SAP PMAPIExports
Why work with us

Why network operators work with us

  1. We start from the network, not the picture.Every result is tied to a span, a pole or a zone you define.
  2. Measured, with evidence.Each finding comes with the image it is based on.
  3. Honest precision.Height in bands, clear about what imagery cannot show (wires, small hardware).
  4. Provider-independent.You choose. The marketplace shows every satellite and date available for your corridor, side by side, so you pick what fits your date and budget.
Stereo height measurement Two satellite views of the same tree from different angles give its height. ORBIT S₁ · view 1 S₂ · view 2 base B (along-track) GROUND / TERRAIN MODEL T · tree top h T₂′ T₁′ base height from two views Reported in height bands SCHEMATIC · NOT TO SCALE
How height comes from a stereo pair: two views of the same tree from different angles. We report it in bands, the honest precision of the method.
Questions

High-resolution satellite imagery: frequently asked questions

What can you see on 30 cm satellite imagery?

Single tree crowns, buildings, vehicles, roads, fallen trees and storm damage. Wires and small hardware such as insulators are not visible; for those you need drone or close-range imagery.

Can satellite imagery measure tree height?

Yes, from a stereo pair: two images of the same area taken from different angles. We report height in bands, which matches the real precision of the method.

Do you sell the satellite images?

No. We deliver the analysis; the marketplace shows what exists for your corridor.

How long does it take to get a new satellite image?

It depends mostly on clouds, the shape of the area and the viewing angle. Archive images are the fastest; a new acquisition in a cloudy season may need several attempts.

Satellite, LiDAR or drone: which one do I need?

Satellite for wide areas and repeat checks, LiDAR for exact clearance distances, drone for close-up condition of poles and hardware.

Start with your corridor

Draw your corridor. See what exists.