Satellite intelligence. Ecological connectivity.
Real-world conservation impact.
Start with trusted satellite observations to understand the coastal ecosystem as it exists today.
An automated end-to-end workflow transforming raw earth observation into actionable conservation intelligence.
Free Sentinel-1 radar images cover the whole coastline every few days, and radar sees through monsoon cloud.
A decision-support system built for coastal authorities, forest rangers, and researchers.
High-resolution patch segmentation, corridor layers, and multi-spectral GIS overlays.
Compare pipeline runs from different years, patch by patch — model output, not measured change.
Finds the small stepping-stone patches whose loss would break the network apart.
Draw a threat or a restoration on the map and see the effect, recomputed exactly. Simulated, not a forecast.
Sites ranked by how much forest they would reconnect; costs only when real cost data exists.
Send a patch to verification, assign a field task, and require photo + GPS evidence before confirmation.
Query individual patches, inspect connectivity metrics, and test what happens when a patch is lost.
Figures: Kerala 2025 analysis run (development model — not final). The map here is a schematic; the Command Center shows the real geometry.
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Evaluation across high-biodiversity Indian estuaries, Ramsar wetlands, and UNESCO Biosphere Reserves.
Backwater system where mangrove fringes meet the Arabian Sea. Thin 1–3 pixel mangrove fringes make it the hardest of the four cases.
World's largest contiguous tidal mangrove forest, cut by wide tidal rivers.
Chain of 21 islands with coral reefs, seagrass beds, and island mangroves anchored by a dominant coastal shelf.
India's second largest mangrove ecosystem, acting as a crucial cyclonic storm surge attenuation buffer.
Restoration money should go where it reconnects the most forest, not simply where there is space. Sites are ranked by the connectivity they would add back; costs are included only when real cost data exists.
EcoConnectAI equips conservation authorities with structural evidence required for defensible, transparent coastal planning.
The model reads free Sentinel-1 radar, which sees through monsoon cloud and at night. Optical Sentinel-2 images are shown only for context.
Treats the coast as a network of linked patches, so it can find small stepping-stone patches that a simple area count would miss.
Every ranking shows its reasons: patch size, number of links, whether it holds groups together, and the measured loss. Anyone can recompute it.
Draw a proposed road, port or clearing and see how the network would break, before the decision is made. Results are simulations.
Ranks restoration sites by how much forest they would reconnect, so limited budgets go where they help most.
Field staff get tasks with GPS and photo evidence; an officer signs off before any map change is accepted.
Explore EcoConnectAI's coastal intelligence workflow. Quantify bottleneck patch criticality, stress-test disaster scenarios, and prioritize restoration investments across India's most vital marine ecosystems.