Smarter site selection
Restoration succeeds where nature agrees.
We use drone and satellite data to analyze every site before planting even begins.
Turning complexity into clarity
Once collected, the datasets are processed into high-resolution spatial models that describe how water, soil, and vegetation interact across the landscape.
These insights are converted into restoration suitability maps that highlight stable, well-drained, and appropriately flooded zones. This guides project developers toward the areas most likely to support long-term mangrove establishment and carbon accumulation.
Restoration with foresight
We’re developing models that connect hydrology, topography, and vegetation dynamics to anticipate how coastal sites may evolve under changing conditions. These predictive tools aim to help project developers optimize restoration design, plan for sea-level rise or altered flooding regimes, and guide long-term monitoring strategies.
While this work is still in progress, early results show how combining detailed terrain data with tidal and vegetation models can unlock powerful insights into the future stability and growth potential of restoration sites.
Nature pioneers already restoring with us
Seeing the coast in full detail
We combine drone-based LiDAR, multispectral, and satellite data to build a precise understanding of coastal landscapes. Information on vegetation type and condition revealing subtle gradients, tidal creeks, and flow paths that define hydrological connectivity.
Satellite time-series data brings the long-term perspective — showing how sites have changed over time through sedimentation, erosion, or new tidal channels created by human or natural processes.
