Arkadiah utilizes high-resolution satellite imaging, LiDAR, and AI to assess and monitor degraded land, providing accurate carbon baselines and automated carbon credit calculations. The platform addresses the challenge of restoring damaged ecosystems by ensuring effective project tracking and safeguarding against environmental disturbances.
Funding
Funding not disclosed
Founders
Product
Problem
Restoring degraded land at scale requires accurate carbon baselines and effective project monitoring, but current methods are often manual, time-consuming, and lack transparency, hindering investment and slowing down ecosystem recovery. Traditional approaches struggle to provide the high-integrity data needed to ensure project success and generate verifiable carbon credits.
Solution
Arkadiah offers a technology platform that uses high-resolution satellite imaging, LiDAR, and AI to provide accurate carbon baselines and automated carbon credit calculations for land restoration projects. The platform creates a digital twin of project landscapes, offering transparency and securing investor confidence. It streamlines the entire process from project design and development to carbon credit sales, reducing the time to generate cash flow. Arkadiah also provides ongoing project monitoring using space-borne LiDAR, remote sensing, and local sensors, alerting users to any threats or disturbances.
Target Audience
Arkadiah targets landowners, developers, investors, and companies involved in nature-based restoration projects, particularly those focused on forests, peatlands, and mangroves.
Features
- High-resolution satellite imaging and LiDAR data for precise land assessment
- AI-powered carbon estimation for accurate and traceable baselining
- Automated workflow for carbon credit calculation and documentation
- Project monitoring using remote sensing and on-the-ground sensors
- Digital twin technology for enhanced project transparency
- Alerts for potential threats and disturbances to restoration projects