Monitor large areas without relying solely on field campaigns.

We process historical time series and satellite imagery to identify changes in vegetation, water, snow and land cover. We automate indicator updates to make periodic environmental monitoring easier.

Request an initial assessment See the apps in action

01 / What changes in your work

From spot measurements to a complete view of the land

Today

Costly field campaigns, spaced far apart in time.
Images downloaded and processed one at a time.
No historical baseline to compare against.
Indicators that are out of date as soon as they're published.

With remote sensing

Complete coverage of the land, even in hard-to-reach areas.
Thousands of images processed automatically.
Decades of satellite records as a baseline.
Indicators that are updated periodically, with quality control.

02 / What we do

Up-to-date geospatial information, ready to use

We deliver clean, organized and documented data, ready to plug directly into your studies, systems or platforms.

Thematic map derived from satellite imagery, draped over the terrain

Large-scale processing

Thousands of images turned into ready-to-use data

We process large volumes of imagery with Google Earth Engine and deliver clean, organized databases for your research or consulting projects.

Landsat · Sentinel-2 · MODIS

Time series of a vegetation index with its trend

Multitemporal monitoring

Trends, anomalies and changes over time

Spectral index time series to detect trends, anomalies and seasonal changes, with automatic change detection.

Time series · Change detection

Map of a spectral index derived from multispectral imagery

Spectral indices

Vegetation, water, snow and fire, quantified

Indices derived from multispectral imagery to measure vegetation condition, the presence of water and snow, and fire severity.

NDVI · EVI · NDWI · NDSI · NBR

Land use and land cover

How land use is changing

We classify the landscape into land use and land cover categories, detect historical changes and deliver each classification with its accuracy assessment.

Wetlands · Fragmentation · Ecological connectivity

Cartography and spatial analysis

Professional cartography for land management decisions

Thematic cartography, structured geographic databases and spatial analysis to answer complex questions about the land.

Multi-criteria · Connectivity · Geographic databases

3D visualization

The landscape in three dimensions, for clearer communication

Elevation models and 3D representations of environmental variables that make it easier to explain results to non-technical teams.

DEM · Surface models · Thematic 3D

03 / Quality

Satellite data you can trust

A satellite image is not ready-to-use data. The difference between a reliable indicator and a misleading one lies in the processing.

Cloud masking and quality control

We filter out clouds, shadows and faulty pixels before calculating any indicator.
Consistent time series

We keep data consistent across dates and sensors so that comparisons over time are valid.
Measured accuracy

Classifications come with their accuracy assessment, not just the map.
Traceability

Every indicator can be recalculated with the same method when new images come in.