// Drone Imagery Gallery
What Our Drones See
Explore the imagery types captured during agricultural drone surveys. From standard RGB photography to thermal infrared, every pixel tells a story about your crop health.
Blueberry Field - 120ft AGL
Standard aerial view revealing row spacing uniformity and bare soil patches between blueberry bushes. Visible canopy gaps indicate areas needing replanting.
Soybean Canopy - NDVI Analysis
Normalized Difference Vegetation Index map quantifying crop vigor. Deep green zones show peak photosynthetic activity; yellow-red areas flag nitrogen deficiency.
Peach Orchard - Heat Stress Map
Infrared thermal capture detecting canopy temperature differentials. Hot spots along the southern rows indicate irrigation blockage and water stress.
Cranberry Bog - 5-Band Capture
Red, Green, Blue, Red Edge, and NIR bands captured simultaneously. False-color composite highlights chlorophyll concentration differences invisible to the naked eye.
Corn Field - Growth Stage V6
High-resolution mosaic stitched from 847 overlapping images. Row emergence uniformity is clearly visible, with a stand count accuracy of 98.2%.
Vineyard - Vigor Zones
NDVI-derived vigor map segmented into management zones. Low-vigor vines (red) correlate with compacted soil from old tractor paths. Enables variable-rate fertilization.
Blueberry Block - Frost Risk
Pre-dawn thermal survey mapping micro-climate cold pockets. Low-lying areas between rows show 4-6 degrees F colder — frost damage risk zones for spring bloom protection.
Tomato Field - Disease Detection
Near-infrared reflectance anomaly detection. Stressed plant cells reflect less NIR light — highlighting early blight infection 5-7 days before visible symptoms appear.
Sweet Potato Rows - Aerial Survey
Orthomosaic map generated from flight grid pattern. Weed encroachment clearly visible along field edges and between rows, enabling targeted spot-spray missions.
Pepper Greenhouse - Canopy Index
Indoor NDVI scan through greenhouse polycarbonate. Plants in rows 12-18 show reduced vigor from inadequate ventilation. Actionable data for HVAC adjustment.
Irrigation Pivot - Leak Detection
Thermal differential scan of center pivot coverage area. Cool streak at 147 degrees indicates a leaking nozzle. Wet soil detected 20ft beyond intended radius.
Cover Crop Mix - Species Mapping
Multi-band analysis differentiating clover, rye, and radish in a cover crop mix. Red Edge band separates species with 91% classification accuracy for termination timing.
Orchard Canopy - Tree Count
Machine-learning-ready aerial imagery for automated tree detection. Individual canopy segmentation enables precise tree count, spacing analysis, and missing tree identification.
Wheat Field - Yield Prediction
Late-season NDVI correlated with historical yield data. Biomass estimation model predicts 52 bu/ac average with high-vigor zones exceeding 60 bu/ac.
// How It Works
Four Ways to See Your Farm
Each imagery type reveals different information about your crops. Together, they provide a complete picture of field health that no single sensor can achieve alone.
RGB - Standard Visual
High-resolution visible-light photography stitched into orthomosaic maps. What you see with your eyes, but from 100-400ft with centimeter-level detail.
What it reveals:
- Crop stand counts and row spacing uniformity
- Weed pressure and bare soil exposure
- Physical damage from storms or pests
- Drainage patterns and erosion
Multispectral - Beyond Visible Light
Five discrete spectral bands (R, G, B, Red Edge, NIR) captured simultaneously. Each band reveals different plant tissue properties invisible to the naked eye.
What it reveals:
- Early stress detection 5-10 days before visible symptoms
- Chlorophyll concentration mapping
- Species differentiation in mixed plantings
- Soil moisture estimation from surface reflectance
NDVI - Vegetation Index
Computed from NIR and Red bands: (NIR - Red) / (NIR + Red). Quantifies photosynthetic activity on a -1 to +1 scale. The gold standard for crop health assessment.
What it reveals:
- Quantified crop vigor across entire fields
- Variable-rate fertilizer prescription zones
- Yield prediction models from biomass estimation
- Season-over-season trend comparison
Thermal - Heat Mapping
Infrared thermal radiometry measuring canopy and soil surface temperatures. Temperature differentials as small as 0.1 degrees F are detectable.
What it reveals:
- Water stress before wilting occurs
- Irrigation system malfunctions and leaks
- Frost pocket identification for cold protection
- Disease hotspots from metabolic heat changes
// Camera Capabilities
DJI T25 Imaging System
Our DJI Agras T25 is equipped with an integrated multispectral imaging array that captures all four imagery types in a single flight pass, eliminating the need for separate survey missions.
PRIMARY SENSOR
1/2" CMOS
48MP RGB
MULTISPECTRAL
4x 2MP
G/R/RE/NIR
GSD @ 120ft
1.2 cm/px
RGB mode
IMAGE FORMAT
JPEG + TIFF
16-bit radiometric
CAPTURE RATE
0.7s interval
time or distance trigger
FOV
84 degrees
wide-angle
SPECTRAL BANDS
5 bands
R, G, B, RE, NIR
RADIOMETRIC CALIB
YES
sunlight sensor included
See Your Farm from a New Perspective
Book a drone survey and get actionable imagery data for your fields. From crop health analysis to irrigation audits, we turn aerial data into better farm decisions.