GIS Portfolio

UAS · MULTISPECTRAL · TURF MANAGEMENT

Celebration Golf ClubVegetation Index Analysis

A drone-mapping demonstration showing how multispectral imagery can support targeted inspection, irrigation checks, and consistent turf management.

Celebration, FloridaHole 5 · Par 3Illustrative dataset

01 / INTERACTIVE ANALYSIS

Compare turf-health signals.

Choose an index to update the illustrative raster and summary indicators for the full extent of Hole 5. Values are not measurements of the actual course.

Hole 5 · NDVI rasterFull-hole aerial context
MODEL VIEW

Drone orthomosaic-style demonstration derived from the user-supplied aerial reference. Vegetation-index values are illustrative.

Lower vigorHigher vigor

02 / FIELD PRIORITIES

Turn raster patterns into action.

Illustrative anomalies are translated into inspection priorities—not treated as diagnoses. Each zone would require field verification before treatment.

Priority 1

Zone B · Green approach

Localized dry-spot pattern

Lower NDRE and NDVI values form an irregular patch within otherwise consistent turf.

Modeled NDRE
0.29
Next check
Soil moisture
Priority 2

Zone A · Tee-to-green corridor

Irrigation response

A high-vigor linear signal may indicate uneven irrigation coverage or a leaking component.

Modeled NDVI
0.84
Next check
Sprinkler audit
Priority 3

Zone C · Bunker edge

Sparse-canopy transition

OSAVI helps separate reduced turf cover from the brightness of adjacent sand and exposed soil.

Modeled OSAVI
0.36
Next check
Canopy cover

03 / METHOD

A repeatable multispectral workflow.

The demonstration follows a defensible sequence from flight planning through field validation, while keeping illustrative results separate from observed facts.

  1. 01

    Plan

    Define safe flight blocks, consistent altitude and overlap, and radiometric calibration procedures.

  2. 02

    Capture

    Collect blue, green, red, red-edge, and near-infrared imagery under stable conditions.

  3. 03

    Process

    Align bands, build the orthomosaic, calculate index rasters, and review positional and spectral quality.

  4. 04

    Validate

    Compare flagged zones with moisture, irrigation, disease, compaction, and turf-condition observations.

NDVI

General greenness and canopy vigor

GNDVI

Chlorophyll and nitrogen sensitivity

NDRE

Subtle stress in dense turf

OSAVI

Vegetation response with reduced soil influence

PORTFOLIO CASE STUDY

Remote-sensing analysis designed for practical decisions.

This page demonstrates UAS flight planning, multispectral processing, vegetation-index selection, cartographic communication, and responsible interpretation using an illustrative dataset.

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