AI-Powered Environmental Analysis

Terrain360 combines 360-degree panoramic imagery with advanced AI to deliver structured scientific assessments for environmental monitoring, resource management, and infrastructure planning.

754

Scenes Analyzed

4

Analysis Types

19

Sites Assessed

1,200+

Data Fields Per Scene

Explore Analysis Types View Live Examples

Scientific Analysis Types

Each analysis type is built on established methodologies and delivers structured, machine-readable data for integration with GIS systems and databases.

MS4 Visual Stream Assessment

Our most comprehensive analysis protocol, integrating USDA Stream Visual Assessment Protocol (SVAP), EPA Rapid Bioassessment Protocol (RBP), and TDEC MS4 permit requirements into a unified assessment framework. The AI systematically evaluates channel geometry, bank stability indices, substrate composition, riparian buffer integrity, and in-stream habitat complexity. Automated outfall detection identifies pipe diameters, materials, and dry weather flow indicators critical for IDDE compliance documentation.

~630 structured fields per scene

SVAP Stream Score (1-10)

Habitat Quality Index

Outfall Inventory

Bank Erosion Severity

Erosion & Sediment Control

Quantitative erosion hazard assessment using established geomorphological indicators. The model identifies active head cuts, bank undercutting, mass wasting signatures, and sediment deposition patterns. Each feature is classified by severity and assigned remediation priority scores. Output includes estimated sediment load contributions, drainage area characterization, and cost-ranked intervention recommendations compatible with NPDES permit documentation requirements.

~162 structured fields per scene

Condition Rating (A-F)

Erosion Risk Score

Remediation Priority

Feature Classification

NPS Visual Resource Inventory

Implements the National Park Service Visual Resource Inventory methodology for systematic scenic quality evaluation. The AI assesses landform variety, vegetation patterns, water presence, color contrast, and cultural modifications across all six viewing directions. Outputs include Scenic Quality Ratings (A/B/C), View Importance classifications, and computed Scenic Inventory Values using the official 5x5 matrix. Data structure aligns with NPS planning databases for direct integration.

~240 structured fields per scene

Scenic Quality Rating

View Importance Class

Scenic Inventory Value

Directional Analysis

River Access Site Analysis

Comprehensive water access point inventory following River Access Planning Guide (RAPG) methodology. Each site is evaluated for launch/takeout suitability, vehicle access constraints, parking capacity estimates, and ADA accessibility compliance. The model inventories existing amenities, identifies safety hazards (hydraulic features, strainers, undercut banks), and generates condition assessments with prioritized improvement recommendations for recreation planners and land managers.

~130 structured fields per scene

Safety Assessment

Amenities Inventory

ADA Compliance

Access Features

Live MS4 Analysis Example

See how our AI extracts structured, actionable data from 360-degree panoramic imagery. The example below shows actual MS4 Visual Stream Assessment output.

Black Branch 2

Scene 0 | 36.17005, -86.26820

6-Face Panoramic Input

Front

Right

Back

Left

Up

Down

Each cube face is analyzed independently, then synthesized into site-level metrics.

Structured Analysis Output

MS4 Visual Stream Assessment

Stream Assessment Scores

SVAP Stream Score

7.2 Good

Habitat Quality Index

6.8 Moderate-High

Bank Stability

Moderately Stable

Riparian Buffer Width

15-30 meters

Channel Characteristics

Channel Type

Riffle-Pool Sequence

Substrate Composition

Gravel, Cobble, Sand

Estimated Width

8-12 meters

Flow Condition

Base Flow

Infrastructure Detected

Outfall Count

2 outfalls identified

Dry Weather Flow

Detected

Pipe Material

Corrugated Metal, PVC

Estimated Diameter

18", 24"

Full MS4 analysis contains 630+ structured fields including per-face directional analysis, habitat metrics, erosion indicators, and IDDE screening data exportable to GIS.

How It Works

Our analysis pipeline combines high-resolution panoramic imagery with domain-specific AI models trained on established scientific methodologies.

360 Capture

High-resolution panoramic imagery captured at regular intervals along trails, waterways, and infrastructure corridors. Each scene includes precise GPS coordinates, elevation, and bearing data.

Cube Face Extraction

Equirectangular panoramas are projected onto 6 cube faces (front, back, left, right, up, down) at 4096x4096 pixels each, providing detailed perspective views for analysis.

AI Analysis

Each face is analyzed independently by Claude AI using methodology-specific prompts. Results are then synthesized into comprehensive site-level assessments with standardized scoring.

Structured Output

All results are stored as structured JSON with consistent schemas. Data can be exported to GeoJSON for GIS integration or queried via API for custom applications.

Applications

Resource Management

Scenic inventory and visual impact assessment for land managers

Stormwater Compliance

MS4 permit monitoring and outfall inventory documentation

Trail Management

Erosion assessment and maintenance prioritization

Accessibility Planning

ADA compliance evaluation and barrier identification

Habitat Assessment

Stream corridor and riparian zone evaluation

Safety Audits

Hazard identification and risk assessment

Ready to analyze your sites?

Contact us to discuss your environmental monitoring and assessment needs.