Enviro turns free Sentinel-2 imagery and public methane data into mapped, exportable evidence. 26 analyses across forest, coastline, water, land, industry and atmosphere. No imagery licence. No GIS desktop. No waiting on an analyst.
Built on public science, not proprietary black boxes
Sentinel-2 and Carbon Mapper are public. Getting from there to a defensible number still means scene search, cloud masking, seasonal compositing, band maths and someone who does this for a living. That person is booked for the next six weeks.
A survey tells you what was true last quarter. Ponds get dug, canals get cut, clearing starts and stops between site visits. By the time the PDF lands, the ground has moved.
When an auditor, a validator or a regulator asks how a figure was produced, “the platform said so” is not an answer. Most tools cannot show their method, their inputs, or the dates they used.
The same four steps whether you are looking at methane plumes or mangrove loss. Your team learns it once and gets every analysis.
Sketch it on the map or pick a saved site. Concessions, mangrove belts, catchments, districts, anything you can outline. Enviro shows the size and the resolution it will work at before you go on.
26 analyses, from mangrove trajectories to methane point sources. Each one opens with what it contains, how it works, what it is for, and the limits it carries, before you spend a run on it.
Every usable acquisition is listed with its date, cloud cover, coverage of your area and tile. Take the recommended full-coverage set, hand-pick up to five scenes, or pin one exact acquisition.
A georeferenced overlay plus per-feature numbers: area, change magnitude, confidence and footprint. Inspect them on the map, then download the CSV for the audit file.
This is the core of the product. Every one runs on the same four steps, states what it can and cannot tell you, and wears the same icon here as it does in the workspace.
A clean true-colour look at your area on a date you choose.
Vegetation that turned to bare surface between two periods.
Where hard, built surfaces have appeared.
Soil and rock with the cover stripped off.
Whether a site is opening up, holding, or growing back.
How hard a fire hit, zone by zone.
Loss that persisted, loss that is recovering, and canopy that came back.
Where greenness has fallen against the baseline.
Growth running ahead of or behind its own season.
Canopy that is thinner than the vegetation around it.
Canopy that keeps flickering rather than holding steady.
Vegetation drying out relative to its neighbours.
Plantation extent, attributed to the named concession holder.
Three-period mangrove loss, recovery, and regrowth.
Coast that retreated and coast that advanced.
Regular water bodies that look like ponds, mapped and counted.
Straight, narrow water features cut through peat and swamp.
Open water gained and lost between two dates.
How often water is there: permanent, seasonal, drying, wetting.
Water carrying an unusual load of sediment.
Surface water with a bloom-like signal.
Mat-like cover sitting on open water.
Ponded water inside pits and voids.
Plume observations clustered into sources you can watch over time.
Hot spots that recur in the same place across passes.
Wind, temperature and soil moisture over the area, right now.
One more is in development: tree counting. It will appear here the day it ships, not before.
Not mockups. Each result carries the imagery, dates and parameters that made it, and states what it is not.
Every analysis states whether its output is a screening indicator or a provider-validated measurement, and every candidate arrives with the reasons it might be wrong: cloud edge, shadow, harvest, drought, residual haze. The tool that tells you its limits is the one that survives review.
Multi-band, multi-pass methane detection follows Varon et al. (2021). Emission quantification uses integrated mass enhancement with Monte Carlo uncertainty. Change detection uses same-season median composites at 10 m. Hand the method to a reviewer and they can look it up.
The core workflow runs on public Sentinel-2 L2A and Carbon Mapper's open plume catalogue. Nothing to procure before your first result, and nothing that turns a wide-area screen into a budget conversation.
Results are stored with the scenes, dates and parameters that produced them. Reopen a run months later and it renders from what was saved. It does not recompute, and it cannot quietly change.
Blue-carbon and forest MRV: baseline extent, canopy trajectories, drainage canals and pond-conversion history per zone, dated and mapped and exportable for the validator's file.
Screen palm, mining and industrial sites for new clearing, exposed ground and pit water between audits, attributed to the named holder of the concession.
Watch coastlines, protected areas and permit boundaries across thousands of square kilometres without buying imagery or standing up a remote-sensing unit.
Independent, dated evidence on deforestation exposure, methane risk and site condition, in hand before it reaches a disclosure or a credit committee.
Every serious buyer sends a technical reviewer. This is so that reviewer finds the limits from us, not later.
| What you get | What it is | What it is not |
|---|---|---|
| Surface-change candidates | Ranked regions of significant vegetation loss at 10 m, from same-season composites | Not a land-use label. A candidate may be a well pad, road, clearing, harvest, fire or drought effect and still needs analyst review |
| Methane emission rates | Carbon Mapper's published, quality-controlled values, clustered into persistent sources | Not our own retrieval. The public catalogue runs roughly 40 days behind |
| Our Sentinel-2 methane detector | Significance anomalies for review, on open data, with no account required | Detection only, with no emission rate. Sentinel-2's physical floor is about 1 to 10 t CH₄/h on bright, uniform ground |
| Industrial heat sources | SWIR high-temperature anomalies that recur at the same place across independent observations | Not a temperature, a flare volume or a combustion rate. Sentinel-2 is not a calibrated thermal imager |
| Vegetation, water and coastal indices | Consistent, dated, reproducible screening indicators over your exact area | Not field measurements, and not a substitute for ground truth in a certified methodology |
| Every run | The scenes used, their dates, cloud cover and coverage, kept with the result | Nothing is produced from imagery you cannot see listed |
Where a number needs an instrument we do not have, we say so and name the instrument that would get it. Quantified methane retrieval at about 300 kg/h needs NASA EMIT. That is on the roadmap, not in the product.
Contains modified Copernicus Sentinel data. Methane emission rates courtesy of Carbon Mapper. Basemap imagery © Esri, Maxar, Earthstar Geographics. Vector basemap © OpenStreetMap contributors, © CARTO. Provider marks belong to their owners and appear here as attribution.
Marginal data cost is near zero, so the whole registry is free to run. What we charge for is your data, your methodology and your infrastructure.
No. The core workflow runs on free, public Sentinel-2 data. No imagery licence, no Copernicus or Earthdata account, no per-scene charge.
Sentinel-2 revisits every five days, so optical analyses are typically days old. Carbon Mapper's public methane catalogue runs about 40 days behind.
The methane path returns in about 20 seconds. A full Sentinel-2 raster analysis over a 0.25 degree area currently takes 5 to 12 minutes end to end, and runs in the background while you work on something else.
Up to 0.25 degrees per side in a single run today, roughly 28 km across at the equator. Larger areas are tiled; automatic tiling is on the roadmap.
Yes, on Enterprise. Drone surveys, commercial satellite tasking and your existing GIS layers can be brought into the same workflow, and the analyses can be adjusted to fit them.
As screening, monitoring and evidence, yes. Every run keeps the imagery, dates and parameters that produced it. As a substitute for the field measurements a methodology requires, no. We will tell you which is which for your specific standard.
It depends on the analysis, the site and the season, and we publish the failure modes for each one. What we guarantee is reproducibility: the same area, dates and scenes give the same result, and you can always see which imagery was used. A run that finds nothing reports nothing.
No. Enviro answers repeatable monitoring questions in minutes; it does not replace a full desktop GIS. Export the results as CSV and take them into your own stack whenever you need to.
Yes, on Enterprise. Enviro can be deployed into your private cloud or on-premise, so imagery and results never leave your infrastructure.
The registry is pluggable, so new analyses ship as modules on the same workflow. Tell us the question and the site; if it can be seen from orbit, we will tell you honestly whether it can be measured.
One area, one analysis, one coffee. If Enviro cannot see what you need from orbit, you will know today instead of after a procurement cycle.
