Core Analytics

πŸ“Š Shoreline Risk Proxy

Our proprietary metric analyzes 10 years of NDWI (Normalized Difference Water Index) data to identify unstable shorelines.

  • Standard deviation analysis over 346+ sites
  • Identifies erosion-prone areas
  • Correlates with bluff composition
  • Predictive accuracy: 37-44% for composition

🦠 Algae Risk Assessment

Water-type-specific models predict algae conditions using satellite imagery and historical data.

  • Rivers: Cyanobacteria prediction (RΒ² = 0.69)
  • Tidal/Lakes: Chlorophyll-a forecasting (RΒ² = 0.48-0.61)
  • Temperature and clarity analysis
  • Real-time risk level classification

πŸ—ΊοΈ Beach Composition Mapping

Automated analysis of beach surface characteristics and geological features.

  • Sediment classification (sand, pebbles, rocks, boulders)
  • Bluff height and grade assessment
  • Rock type identification
  • Debris and vegetation indices

πŸ”¬ Biodiversity Tracking

Community-powered species identification and ecosystem health monitoring.

  • AI-assisted flora and fauna identification
  • Biodiversity score calculation
  • Marine ecology indicators
  • Species distribution mapping

Premium Analytics

πŸ“ˆ

Erosion Rate

Historical shoreline change analysis with multi-year trend data

🌊

Sediment Concentration

Water clarity and sediment load assessment from satellite imagery

πŸ‘₯

Population Pressure

Development impact and human activity correlation analysis

πŸ—‘οΈ

Debris Index

Beach cleanliness and pollution tracking over time

🌿

Kelp Coverage

Marine vegetation mapping and ecosystem health indicators

🌬️

Wave Exposure

Coastal energy assessment and storm impact prediction

πŸ—ΊοΈ Professional GIS Data Exports

Every premium report includes a complete spatial data package

πŸ“¦ 14-File Package

  • Beach location point with all metrics
  • 5 nearest beaches for comparison
  • Risk zone buffers (100m-1km)
  • CSV attribute tables
  • Complete metadata & documentation

🌐 Multiple Formats

  • GeoJSON - Modern, web-ready
  • Shapefiles - Traditional GIS
  • KML - Google Earth compatible
  • CSV - Excel/database import

πŸ”§ Ready to Use

  • QGIS - Drag and drop
  • ArcGIS Pro/ArcMap - Add data
  • Google Earth - Double-click KML
  • Web maps - Leaflet, Mapbox
  • CAD software (after conversion)

All data is yours to keep and integrate.

WGS84 coordinate system β€’ ISO 19115 metadata β€’ Complete data dictionary included

My BeachBook App

Community-powered data collection platform

πŸ“± Mobile Platform

Android app for citizen scientists

  • GPS-tagged observations
  • Photo documentation
  • AI-assisted identification
  • Offline data collection

πŸ” Scanner Feature

ML-powered species and material identification

  • Flora and fauna recognition
  • Rock type classification
  • Real-time confidence scores
  • Educational information

See the Platform in Action

Schedule a demo to explore our coastal intelligence capabilities

Request Demo