Cecil and Chloris Geospatial partner to make forest carbon data accessible

Cecil has partnered with Chloris Geospatial to provide its global forest carbon datasets on Cecil's nature data platform.

This post introduces the datasets, explains how to access them through Cecil, and outlines how these datasets support use cases across the private and public sectors.

To get started with using Chloris Geospatial data through Cecil, read through our documentation or schedule a call with our CEO and co-founder, Alex Logan.

Overview: Chloris Aboveground biomass stock and change datasets

Chloris has developed two geospatial datasets that measure aboveground biomass stock and changes. These datasets are designed to quantify biomass losses (carbon emissions) from deforestation and degradation, as well as biomass gains (carbon removals) from vegetation growth, at 30m and 10m resolutions.

The datasets offer historical data as a time series (rather than individual annual stock maps), with 30m resolution data available from 2000 and 10m resolution data from 2017 onwards. These spatially explicit, wall-to-wall datasets provide quantified uncertainty at both pixel and site levels.

Both aboveground biomass stock and change datasets are now accessible through Cecil.

Accessing Chloris data on Cecil

Cecil’s platform makes nature data consistent, joinable, and ready for analysis. This includes data acquisition from selected providers, data preparation to a preferred CRS and spatial resolution, and secure data access to connect nature data directly to your analysis workflows.

We’re delighted to announce that we’re making Chloris’ aboveground biomass stock and change datasets available on the Cecil platform.

Using Cecil, you can:

• request these datasets for any number of sites (AOIs), with no minimum area requirements.
• configure them to the CRS and resolution you require
• receive the data in a database to use directly in your analysis.

Our integration with Chloris means that you don’t need to worry about managing file storage, building your own integrations, or pre-processing geospatial raster data. Cecil delivers the data in a consistent structure that is optimised for analysis and can be securely connected to your data operations with the Cecil Python SDK. Leverage a modern SQL database in your workflow to analyse time-series and spatial data at scale.

Read our documentation to learn more about accessing data with Cecil.

Use cases for aboveground biomass stock and change datasets

Cecil has partnered with Chloris because we believe plant aboveground biomass datasets are useful to a wide variety of data teams working in carbon markets and corporate reporting of supply chain emissions and removals:

Bringing more efficiency, quality and transparency to forest carbon projects

• Capture avoided emissions more completely by accounting for losses from both degradation and deforestation
• Improve project assessment and due diligence
• Ensure effective dynamic baselining and removals monitoring
• Support project marketing with high-quality carbon data and maps

Advance net-zero strategies with spatially explicit forest carbon data

• Enhanced supply chain carbon footprinting by going beyond deforestation monitoring and working with spatially explicit carbon dynamics
• Ensure GHG Protocol aligned forest carbon removals monitoring