Satellite-grade visibility across every hectare of your project

GIS and remote sensing for land-based carbon projects, from boundary mapping to long-term change detection.

Geospatial analysis built for carbon project mapping

Our GIS and remote sensing work is integrated into real carbon project workflows, from credit registration to MRV and verification.

Integrated into the carbon project lifecycle

Our GIS assessments feed directly into project design documents, baseline studies, and monitoring reports.

Coverage at scale without field-only dependence

We combine satellite imagery with ground-sampling to give you accurate, verifiable data across the full project area.

Change detection across credit periods

For ongoing projects, we track landscape growth over time, providing the proof needed for credit issuance.

Multi-sensor and multi-temporal analysis

Optical, radar, and drone imagery layered over time to show exactly how your site has changed.

Project boundaries that no one can verify

Without georeferenced spatial data, boundary disputes and overlap issues stall projects at validation.

Growth claims with no spatial evidence

Restoration projects claim vegetation growth over time. We provide the satellite imagery to back up these claims during audits.

MRV systems that rely entirely on manual field data

Manual data collection is slow and expensive. Remote sensing delivers the coverage at a fraction of the time and cost.

01
02
03
04
05
01
We define the monitoring objective first

This can be boundary mapping, vegetation monitoring, change detection, or a combination of many.

02
Acquire and process geospatial data

We select the best imagery source for the project's scale and terrain, then process it for the relevant area and timeframe.

03
Analyse land cover and carbon-relevant metrics

We classify land cover, map vegetation density, and quantify changes across time periods relevant to the project's credit cycle

04
Integrate with field data

We layer remote sensing outputs with field data to validate findings and fill gaps that imagery alone cannot capture.

05
Deliver maps, layers, and monitoring outputs

A complete spatial package formatted for PDDs, baseline studies and MRV reporting.

Georeferenced boundary maps

Precise project boundary maps with coordinates, area calculations, and overlap checks.

Land cover classification

A classified map of land cover types, vegetation density, and current land use.

Change detection analysis

Multi-temporal comparison showing vegetation growth, canopy changes, and land-use transitions.

Biomass estimation support

Biomass indicators that complement field sampling for carbon stock estimation.

Spatial datasets

GIS-ready shapefiles, raster layers, and coordinate data for your team to use in project reports.

GIS assessment report

A comprehensive report with findings, maps, and recommendations, ready to be used into PDDs, baseline studies, or MRV frameworks.

Straight answers on geospatial services

Start with what project teams ask most about satellite data, field checks, and monitoring, then bring us your land details.

How is GIS and remote sensing used in your work?

These tools are typically used to map land use, monitor vegetation and land-cover change, and support baseline and ongoing monitoring for environmental and carbon projects.

Why use satellite/remote sensing data instead of only field visits?

Remote sensing can provide broader spatial coverage and time-series data, complementing (not necessarily replacing) field verification. The right mix depends on project needs and data quality requirements.

Can GIS support project monitoring over time?

Yes, generally GIS-based monitoring can help track changes such as deforestation, land degradation, or vegetation growth relevant to a project's claims.

What kind of projects benefit most from GIS/remote sensing support?

Land-based projects, such as forestry, agriculture, and land restoration, commonly benefit most, though other project types may also use spatial data for planning or verification.

Is remote sensing data alone sufficient for carbon credit verification?

Generally, remote sensing is one input among several (including field data) required by most carbon standards, sufficiency depends on the specific methodology and standard being applied, which should be verified directly.

How does remote sensing help carbon projects?

Satellite and geospatial analysis let us map land cover, detect change (such as deforestation or restoration), estimate biomass, and monitor large or remote areas cost-effectively. This strengthens baselines and ongoing MRV while reducing field costs.

Can remote sensing replace field measurement?

It complements rather than fully replaces field data. Field measurements calibrate and validate the satellite analysis, and combining both gives accurate, scalable and verifiable monitoring.