HEALTHY COASTS  •  STRONGER COMMUNITIES

Beyond Habitat Maps.
Understand What
Holds the Landscape Together.

Satellite intelligence. Ecological connectivity.
Real-world conservation impact.

Vembanad-Kol Wetland
Kerala, India
Schematic
N↑
02.5510 km
Habitat patch
Connectivity link
Critical patch
Restoration candidate
4 Study Areas
Across Indian coasts
Satellite-Driven
Sentinel-1 & Sentinel-2
Graph-Based
Connectivity Analysis
Real-World Impact
For People and Nature
THE ECOCONNECTAI INTELLIGENCE FLOW

“Knowing where habitat exists is only the beginning.”

01STAGE 01 / 06

Observe the Real Landscape

Start with trusted satellite observations to understand the coastal ecosystem as it exists today.

Satellite Observation
Sentinel-1 radar · 10 m pixels
N ↑0 2.5 5 10 km
True Color (Sentinel-2)
Jan 2024 · 10m GSD
8-Stage Intelligence Pipeline

From Satellite Observation to Decision

An automated end-to-end workflow transforming raw earth observation into actionable conservation intelligence.

01OBSERVE
Look at the coast from space.

Free Sentinel-1 radar images cover the whole coastline every few days, and radar sees through monsoon cloud.

Scene year —
Sentinel-1/2
10m GSD Data
— ha
Mangrove mapped (Kerala, model output)
— Patches
Found by the model
— Links
Travel links
PLATFORM CAPABILITIES

Six Core Environmental Intelligence Modules

A decision-support system built for coastal authorities, forest rangers, and researchers.

Launch All in Command
01
Spatial GIS
Vembanad · 10m GSD9.87°N, 76.37°E
— patches · scene —— ha mapped

Interactive Coastal Map

High-resolution patch segmentation, corridor layers, and multi-spectral GIS overlays.

ModuleLaunch
02
Multi-Temporal
Same model, two years2020 → 2025
Patches matchedcentroid < 300 m

Change Detection

Compare pipeline runs from different years, patch by patch — model output, not measured change.

ModuleLaunch
03
Graph Sensitivity
— · holds the network togetherRank #— of —
Connectivity lost if removed (— ha)−—%

Criticality Analysis

Finds the small stepping-stone patches whose loss would break the network apart.

ModuleLaunch
04
What-if
Remove —Exact recompute
Components— → —

Scenario Lab

Draw a threat or a restoration on the map and see the effect, recomputed exactly. Simulated, not a forecast.

ModuleLaunch
05
Corridor Design
0 uncertain areasCheck first
Next stepfield visit

Restoration Planner

Sites ranked by how much forest they would reconnect; costs only when real cost data exists.

ModuleLaunch
06
Human review
Verify critical patch —Pending
Status chainAI detected → confirmed

Field Verification

Send a patch to verification, assign a field task, and require photo + GPS evidence before confirmation.

ModuleLaunch
OPERATIONAL WORKSPACE

From Satellite Observation to Conservation Decision

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.

Vembanad–Kol Wetland (Kerala) · schematic view
— patchesSentinel-1 10 m
16
Select:
Patch ID
—
Rank #— · high criticality
Habitat Area
— ha
—% of habitat
Connectivity Loss
-—% IIC
Rank #— of —
Confidence
—
Corridors
— links
View Full GIS Analysis

What happens if this patch is removed?

Before
2 components
→
After Loss
— components

Loading the stored run…

Configured Landscapes

Four Iconic Coastal Landscapes

Evaluation across high-biodiversity Indian estuaries, Ramsar wetlands, and UNESCO Biosphere Reserves.

Explore All in Command
Vembanad–Kol Wetland satellite imagery
Ramsar Site
Sentinel-1 RTC (10 m)

Vembanad–Kol Wetland

Kerala · 486 km²
Patches
—
ECA / Hab
—
No analysis loaded (backend offline)

Backwater system where mangrove fringes meet the Arabian Sea. Thin 1–3 pixel mangrove fringes make it the hardest of the four cases.

Scene kerala-coastAnalyse
Sundarbans Western Delta satellite imagery
UNESCO World Heritage
Sentinel-1 RTC (10 m)

Sundarbans Western Delta

West Bengal · 1,284 km²
Patches
—
ECA / Hab
—
No analysis loaded (backend offline)

World's largest contiguous tidal mangrove forest, cut by wide tidal rivers.

Scene sundarbansAnalyse
Gulf of Mannar Reefs satellite imagery
Marine National Park
Sentinel-1 RTC (10 m)

Gulf of Mannar Reefs

Tamil Nadu · 826 km²
Patches
—
ECA / Hab
—
No analysis loaded (backend offline)

Chain of 21 islands with coral reefs, seagrass beds, and island mangroves anchored by a dominant coastal shelf.

Scene gulf-of-mannarAnalyse
Bhitarkanika Mangroves satellite imagery
Ramsar Site & NP
Sentinel-1 RTC (10 m)

Bhitarkanika Mangroves

Odisha · 672 km²
Patches
—
ECA / Hab
—
No analysis loaded (backend offline)

India's second largest mangrove ecosystem, acting as a crucial cyclonic storm surge attenuation buffer.

Scene odisha-coastAnalyse
Targeted Habitat Reconnection

From Analysis to Restoration

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.

01
Candidate Area
Marginal model probability
02
Connectivity Gain
Simulate graph addition
03
Feasibility
Rules over available layers
04
Priority Ranking
Ranked by connectivity gain
05
Field Verification
Field assessment task
Kerala Backwaters · Candidate Layer0 sites · 0 to field-check · schematic map
—
Click a site to inspect it— · no cost data
RESTORATION OPPORTUNITYMedium Priority

Loading the latest run…

Candidate Area
— ha
Connectivity Gain
—
Affected Patches Reconnected
—
Candidate source
—
The Decision-Support Philosophy

“AI recommends. Evidence explains. GIS contextualizes.
Scenarios quantify. Officers decide. Field verification confirms.”

EcoConnectAI equips conservation authorities with structural evidence required for defensible, transparent coastal planning.

Observe

All-Weather Radar Mapping

The model reads free Sentinel-1 radar, which sees through monsoon cloud and at night. Optical Sentinel-2 images are shown only for context.

Analyze

Connections, Not Just Area

Treats the coast as a network of linked patches, so it can find small stepping-stone patches that a simple area count would miss.

Explain

Evidence You Can Check

Every ranking shows its reasons: patch size, number of links, whether it holds groups together, and the measured loss. Anyone can recompute it.

Simulate

Test Threats Before They Happen

Draw a proposed road, port or clearing and see how the network would break, before the decision is made. Results are simulations.

Prioritise

Restore Where It Counts

Ranks restoration sites by how much forest they would reconnect, so limited budgets go where they help most.

Verify

Checked on the Ground

Field staff get tasks with GPS and photo evidence; an officer signs off before any map change is accepted.

Governance & Provenance Integrity

Responsible AI: Zero Black-Box Decisions

Every metric, score, and ranking carries its full metadata provenance, timestamp, and model confidence, so every result can be traced and audited.
01
Satellite Evidence
Copernicus S-1/2 raw granules with radiometric provenance
02
Model Prediction
Weakly supervised UNB7 architecture with versioned weights
03
Calibrated Confidence
Pixel-level continuous probabilities and uncertainty bounds
04
Human Officer Review
Forest department decision-makers inspect graph justification
05
Field Verification
Ground ranger surveys confirm canopy cover and GPS coordinates
Evidence-Based Coastal Conservation

See What Holds
the Landscape Together.

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.

Operational Highlights
Supported SensorsSentinel-1 (model) · Sentinel-2 (context)
Connectivity EngineSpatial Graph Networks
Criticality MethodLeave-One-Out Sensitivity
Decision OutputAudit-Ready GIS Export