Nimpact | Google Partnership Proposal

The Blind Spot

Google Maps owns the land. It owns the ocean surface. But the Transition Zone is a data desert.

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The Data Gap

Traditional satellite imagery struggles with the complex, shifting intertidal zone where 40% of humanity lives.

🛥️

The Solution

Ground-Truthing Expedition: A Google-branded vessel circumnavigating to verify pixels with physical samples.

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The Tech

Dual-Engine Intelligence: Combining Google Earth Engine's global scale with hyper-local citizen science.

Google-Native Architecture

Built entirely on the Google Cloud ecosystem. Scalable from day one.

1. Data Ingestion (The App)

Android Native My BeachBook app feeds real-time ground truth directly to Firebase Cloud Firestore.

2. Processing Engine (The Code)

Python-based orchestration hosting algorithms on Google Earth Engine using ee and google-cloud-storage libraries.

3. Automated Output (The Reports)

Generates professional .docx/PDFs with embedded risk maps and algae predictions instantly.

Proprietary Metric: Shoreline Risk Proxy

Calculates the standard deviation of NDWI over a 10-year temporal stack using Sentinel-2 & Landsat archives.

# From gee_imagery.py
def calculate_shoreline_risk(self, lat, lng):
    collection = (ee.ImageCollection('COPERNICUS/S2_SR')
                 # ... filter and map ...
                 .map(calculate_ndwi))
    
    # Calculate variability over time
    std_ndwi = collection.reduce(ee.Reducer.stdDev())
    return std_ndwi.reduceRegion(...)
                    

Hybrid Algae Predictor

Bifurcated model using Landsat 8/9 Thermal and Sentinel-2 Optical data to predict blooms in riverine vs. tidal systems.

# From algae_predictor_hybrid.py
if water_type == 'river':
    # Geography-based regression (R² = 0.69)
    return self._predict_river_ci(beach_data)
else:
    # Spectral anomaly detection
    return self._detect_spectral_bloom(beach_data)
                    

Strategic Roadmap

Phase 1: Digital Value Exchange (Immediate)

Offer a **complimentary coastal risk analysis** for a Google-relevant location, showcasing the power of our GEE-native algorithms on a short pitch call.

Phase 2: The Immersive Invitation (Spring)

Following a successful technical introduction, propose the **3-day PNW sailing demonstration** as the logical next step to validate the operational component live.

Phase 3: The Expedition Launch (Month 4+)

Finalize the sponsorship/partnership agreement and launch the Google-branded vessel on the global ground-truthing circumnavigation.

The Next Step: See the Data in Action

Before committing to an expedition, let us demonstrate the technical value of our platform.

We are offering a **complimentary Coastal Risk Analysis** for a region of your choosing. This analysis, powered by Google Earth Engine, will provide immediate, actionable insight into shoreline stability trends.

Request the Complimentary Analysis View Our Citizen Science App