A scalable approach to coastal natural capital accounting
Cloud-based software that provides insights on ecosystem health and value which can enable targeted investment, management and robust impact reporting
Historical, baseline, ongoing monitoring
7x faster and 11x cheaper than present direct observation
Ridge to reef ecosystem coverage
UN SEEA Compliant
Robustly measure proximity to crucial habitats, factoring in ecosystem value into planning & development process
Establish a robust baseline for future project revenue or impact assessment
Track ecosystem extent, condition and services with standardised year-on-year change
Translate these analytics into relevant metrics and insights for internal and external reporting
Large-scale investment and intervention require robust insights on ecosystem extent, health & value
Global estimates are inaccurate
No standardised framework
Direct-sampling is unscalable
LiDAR alone is too expensive
The business case is clear
Underpinned by ecosystem services at every level
Industry: Fishing, tourism, coastal infrastructure
Community: Food, income, flood protection
Planetary: Carbon sequestration, oxygen supplier
Our work in the Seychelles
The first time remote sensing was used to establish nationally-determined contributions.
Alongside the Seychelles Conservation & Climate Adaptation Trust, we mapped and assessed the Seychelles' national blue carbon seagrass stock to enable them to deliver on their commitment to process their seagrass by 2030.
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How does our technology work?
We leverage Google Earth Engine's geospatial platform and supercharge it with machine learning and scientific know-how to validate, calibrate and generate uncertainties for our coastal ecosystem accounting output.
The platform enables us to take satellite 'mosaics' created from thousands of images and scale them up to the required scale - sub-national or national.
Our approach is highly modular, so we can take our core components to scale across space and time, and increase or decrease the resolution as needed.
Who can leverage Ocean Ledger's technology?
As an impact-led business we are committed to helping both the public and private sector deliver on sustainability commitments and reduce negative impact on coastal ecosystems. Within the public sector we'll join consortiums for large government contracts or environmental agencies. Within the private sector, any industry that has direct interaction with the coast. That includes coastal developers, tourism operators, dredging, aquaculture, oil refineries, wastewater treatment, and offshore wind developers, that want to measure proximity and impact on coastal ecosystems for Environmental Impact Assessments (EIA) and establish science-based targets for sustainability commitments.
How are we engaging with the scientific and conservation community?
Our technology is by no means a replacement for conservation work - it is an enabler for targeted, conservation projects whose positive impact on the environment can be recorded, surfaced and communicated to the rest of the world.
Our algorithm is only as good as the field data, or ground-truth data, we put into it. That means we need to collaborate with conservation groups and companies who are developing innovative solutions for collecting ground-truth data for marine environment.
A clear synergy exists between those who collect field data and our remote-sensing technique:
1) Their data can help improve our accuracies in regions they have mapped but we haven't.
2) Our data can reduce the time and cost for their data acquisition in areas they have not mapped by understanding where coastal ecosystems are and which ones are high-risk or high-value.
Which regions can we operate in?
Thanks to global access to satellite data, we can operate in most tropical or temperate regions - wherever there's seagrass, coral reefs and mangroves!
Prior to spinning out, the research team successfully mapped more than 300,000 sq km of coastal ecosystems across 74,000 km of coastline at either 5 or 10 m resolution, using nationally aggregated reference data to ensure highest accuracies possible.