Cloudline Carbon Copy: cost-effective, comprehensive carbon accounting

What we do

Carbon Copy is the digital unlock for nature-based projects

Cloudline provides census-level surveys of nature-based projects, establishing a granular volumetric dataset of all above-ground biomass. The output is a precise digital model of your project that can be used in monitoring, reporting and verification. It also provides a foundation for project marketing and proactive forest management to improve carbon yields.

01

Cloudline unlocks precision LiDAR surveys at a fraction of the cost of existing methods, enabling census-level data capture of entire nature-based projects.

02

Data is processed to reveal key insights, including:

Above-ground biomass.

Vegetation stress and leakage.

Community impact.

03

Carbon Copy produces real-time reporting to your project stakeholders, investors, verification bodies and credit buyers to share your evidence-based impact.

How it works

Get credit where it’s due

Increase your revenue on existing projects by deploying recent breakthroughs in LiDAR sensing to measure (rather than extrapolate) biomass numbers.

Longitudinal data are timeless

Future-proof your credits with agnostic data that meets current standards and is fully compatible with methodologies yet to be developed.

A verified baseline is priceless

Increase project value and secure forward offtakes with exact baselining for buyers and investors.

See the forest for the trees with project level insights backed by leaf scale measurement

Project insights

ID: 107

Start Date: 05/07/2022

Last Survey: 15/02/2023

Primary Vegetation: Cypres, Pines

Recorded Biomass Change (tonnes): 0.557

Predicted Biomass Change (tonnes): 1.35/year

Our solar-powered platform matched with precision LiDAR means
no more range anxiety from conventional drones.
no more leaded fuel emissions from small aircraft.
no more interpolation of football field-sized pixels from satellite images.
no more schlep and error from hand-measured samples.
no more range anxiety from conventional drones.