Dimos Traganos, PhD’s Post

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Co-Founder & CSO at Ocean Ledger

One of the most challenging endeavors in coastal ecosystem assessment is monitoring their change through time in a consistent, harmonized and accurate fashion. This is impacted by the: ❌Lack of spatiotemporally coincident reference and remote sensing data ❌Lack of pertinent scalable frameworks ❌Difficulties in harmonizing inter-sensor images across space and time, due to natural and technological variabilities ❌ Lack of multi-dimensionality to confidently characterize pertinent change and its drivers One of the greatest values and strengths of #EarthObservation technology is its standardized global historical cadence, from the 80s to today - the most harmonized, transparent, granular, and reliable global dataset. This allows quantitative trend analytics of coastal ecosystems, from seasonal to multi-decadal temporalities, and from single ecosystem and coastline to holistic #seascape and regional scales. In Ocean Ledger, we have developed proprietary change detection analytics using satellite archives, which act like time machines to track seasonal to interdecadal changes in coastal extent, health, condition and ecosystem services. These analytics are enhanced with customized pre-processing algorithms to reduce noise and focus on environmental signals (i.e. temporal change). To understand ecosystems, a blend of physical, compositional, structural, and functional typologies should be ideally utilized, from patch to landscape and seascape levels. Some of the rich plethora of typologies that we are measuring across space and time are: 🌊 Habitat patch cohesion 🌊 Distance to patch edge 🌊 Light attenuation Patch cohesion & distance to patch edge are landscape/seascape metrics that reflect ecosystem connectivity and fragmentation: e.g. larger contiguity supports better protection against grazing and hydrodynamics, and greater fish density, for seagrasses. On the other hand, light attenuation is an important physical indicator for underwater ecosystems due to its ability to characterize the water quality conditions in shallow waters, in which seagrasses and corals thrive. Spread across time, these metrics can enhance understanding of the trajectory of coastal ecosystem #biodiversity, condition and functioning for both onshore and nearshore ecosystems, allowing tracking progress on ecosystem recovery and restoration efforts. The below image showcases our application of this blend of remotely sensed typologies for the lush shallow seagrasses of the North Andros Island (The Bahamas), using a Sentinel-2 image time series. Real-world applications of change detection of coastal ecosystems and environments from space are: 🌊Showcasing biodiversity and #carbon uplift for crediting projects 🌊Tracking ecosystem condition for conservation and #restoration 🌊Identifying eroding and accreting coastal areas for infrastructure 🌊Empowering long-term forecasting and short-term triggers built around coastal environmental liability for insurers

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