Better data.
Better golf.

Golf course management has relied on observation for decades. Turflogic adds objective, continuous intelligence, finding problems before they surface.

Our approach

The ScienceHow multispectral imaging detects compaction, disease, and irrigation failure weeks before it's visible. Why TurflogicThe measurable case for precise, repeatable drone intelligence. For SuperintendentsField-ready tools designed around how modern course managers work. For Club LeadershipBoard-ready reporting. Every question your greens committee will ask, answered.BlogResearch, best practices, and lessons from the courses we work with.

The Platform

One picture.
Complete clarity.

Every instrument Turflogic uses feeds a single outcome: an objective, continuously updated picture of your course’s health, benchmarked, archived, and actionable.

Open TurfScore

TurfScore A simple, scientific, three-digit health rating for every zone, greens, fairways, tee boxes, benchmarked flight over flight. Stress Maps Four stress categories, color-coded by severity. See exactly what’s struggling and where, days or weeks before it surfaces. TurfStory TurfStory layers every flight onto a searchable archive, compare flights, track trends, build institutional knowledge. Construction Management Monitor every grow-in, renovation, and construction project from seeding to opening day.

Contour Maps Precision terrain from LIDAR and photogrammetry. Hundreds of readings per square meter, contour lines, elevation, shape files. Irrigation Mapping A complete GIS map of your irrigation system, every head, every zone, built from drone flight and delivered as a living document. Remote Monitoring Always-on platform intelligence. Your course, visible from anywhere. Metos METOS TSM soil scanner, up to 25,000 data points per hectare, 20 inches scan depth. Ground-level intelligence that completes your drone picture.

Featured Courses

Real courses.
Real data.

Every club in the Turflogic network is a live proof of concept, stress found early, interventions targeted, turf health trending upward.

Audubon Country ClubNaples, Florida

Rock Creek Cattle CompanyDeer Lodge, Montana

Tiburón Golf ClubNaples, Florida

Rancho La QuintaLa Quinta, California

The Everglades ClubPalm Beach, Florida

Stream Song ResortBowling Green, Florida

The Science
of Stress.

Turf stress begins where you can't see it. Understanding how stress develops, and how multispectral imaging finds it, is the foundation of everything Turflogic does.

Why this matters.

Turf decline begins at the cellular level—weeks before it shows. By the time visible symptoms appear, you've already missed the low-cost intervention window.

Turflogic detects early condition changes using NDVI analysis and multispectral imaging, enabling precision timing for maintenance decisions.

TurfScore platform showing color-coded stress map across multiple holes

Three causes of stress.

What drives turf decline.

Compaction

Foot traffic and equipment weight compress the root zone, restricting oxygen, water, and nutrient movement. Silent but widespread.

Disease Pressure

Pathogens colonize weakened turf before symptoms appear. Warm, moist conditions accelerate decline.

Irrigation Failure

Blocked heads, dry spots, and coverage gaps starve turf of moisture in the zones that need it most.

How the data works.

Every flight classifies turf into four condition categories—Good, Invisible, Visible, and Unhealthy stress—color-coded on your stress map for quick identification.

Annotated stress map showing Good/Healthy, Invisible Stress, Visible Stress, and Unhealthy/High Stress categories on a golf course

From drone to dashboard

1.Capture

Drone flight collects multispectral data across every zone.

2.Process

Radiometric correction ensures flight-to-flight comparability.

3.Classify

Each pixel assigned a stress category based on reflectance signature.

4.Deliver

Finished map appears in TurfScore, searchable, zoomable, and archived.

Every flight builds the record.

Each flight adds to a searchable historical archive. Track condition patterns, compare across seasons, and base maintenance decisions on real data—not guesswork.