Services

Field data collection, geospatial data analysis, and visualization. Open to WashU researchers, external collaborators, and industry partners.

Data Collection

Field data collection from drones, ground instruments, and remote sensing. Lab staff can run a campaign end-to-end, or train collaborators to operate the equipment themselves. Planning, permitting, and logistics get worked out per project.

Drone surveys

RGB, multispectral, lidar, and thermal sensors on fixed-wing and multirotor platforms. Orthomosaics at cm-scale accuracy with PPK base correction; lidar point clouds for forest structure, change detection, and 3D site models.

Terrestrial laser scanning

Trimble X9 and SX12 tripod scanners for geodetic-grade scans; GeoSLAM Zeb Horizon handheld for rapid below-canopy and indoor walks.

GNSS surveying

Trimble R980 + RTX, Emlid Reach RS2 / RS2+, and DJI D-RTK 2 for control points, base stations, and PPK workflows; cm-scale relative accuracy in good conditions.

Total station

Trimble C5 robotic for pinpoint feature mapping where GNSS is denied — under dense canopy, against structures, or indoors.

Ground-penetrating radar

Sensors & Software pulseEKKO Pro for buried-feature surveys: utilities, archaeology, soil stratigraphy.

Satellite tasking

Coordinated acquisitions from commercial SAR (e.g. ICEYE), commercial multispectral, and Planet Labs daily mosaics for time-sensitive or large-area campaigns. Tasking support currently available only for WashU clients.

Equipment fleet

Platforms and instruments maintained by the lab. Availability shown reflects current scheduling — not the entire upcoming year.

Drones

DJI Matrice M600
M600
Avail

DJI Matrice M600

DJI

Specs
Max Payload
6 kg
Flight Time
35 min
max Speed
65 km/h
DJI Phantom 4 Multispectral
P4 Multispectral
Avail

DJI Phantom 4 Multispectral

DJI

Specs
Sensor
6-camera multispectral array
Flight Time
27 min
Positioning
RTK/PPK GNSS
DJI Phantom 4 Pro
P4 Pro
Avail

DJI Phantom 4 Pro

DJI

Specs
Sensor
1-inch CMOS, 20 MP
Flight Time
30 min
Video
4K 60fps
DJI Tello
Tello
Avail

DJI Tello

DJI

Specs
Weight
80 g
Flight Time
13 min
Camera
5 MP
Quantum Trinity F90+
Trinity F90+
Avail

Quantum Trinity F90+

Quantum-Systems

Specs
Type
Fixed-wing VTOL
Flight Time
90 min
Payloads
Sony RX1 RII, Altum-PT, Qube 240

Sensors

GeoSLAM ZEB Horizon
ZEB Horizon
Avail

GeoSLAM ZEB Horizon

GeoSLAM

Specs
Range
100 m
Scan Rate
300,000 pts/sec
Weight
1.3 kg
MicaSense Altum-PT
Altum-PT
Avail

MicaSense Altum-PT

MicaSense

Specs
Bands
5 multispectral + panchromatic + thermal
Resolution
3.2 MP per band
Mount
Trinity F90+ payload
Sensors & Software pulseEKKO Pro
pulseEKKO Pro
Avail

Sensors & Software pulseEKKO Pro

Sensors & Software

Specs
Type
Ground penetrating radar
Frequencies
25 MHz – 1 GHz
Design
Bistatic
Weight
3 kg per transceiver
Sony RX1 RII
RX1 RII
Avail

Sony RX1 RII

Sony

Specs
Sensor
35 mm full-frame, 42.4 MP
Lens
35 mm f/2.0 Zeiss
Mount
Trinity F90+ payload
YellowScan Qube 240
Qube 240
Avail

YellowScan Qube 240

YellowScan

Specs
Scan Rate
240,000 pts/sec
Range
100 m
Mount
Trinity F90+ payload

Survey & Positioning

DJI D-RTK 2 Mobile Station
D-RTK 2
Avail

DJI D-RTK 2 Mobile Station

DJI

Specs
Type
GNSS mobile station
Signals
GPS, GLONASS, Galileo, BeiDou
Accuracy
1 cm + 1 ppm RTK
Weight
3.5 kg (with tripod)
Emlid Reach RS2 / RS2+
RS2 / RS2+
Avail

Emlid Reach RS2 / RS2+

Emlid

Specs
Type
RTK/PPK GNSS receiver
Signals
GPS, GLONASS, Galileo, BeiDou
Accuracy
7 mm + 1 ppm RTK
Trimble C5 (Total Station)
C5
Avail

Trimble C5 (Total Station)

Trimble

Specs
Type
Mechanical total station
Angular Accuracy
5"
Trimble R980 (GNSS Receiver)
R980
Avail

Trimble R980 (GNSS Receiver)

Trimble

Specs
Type
GNSS receiver
Signals
GPS, GLONASS, Galileo, BeiDou
Accuracy
8 mm + 1 ppm RTK
Trimble SX12 (Total Station)
SX12
Avail

Trimble SX12 (Total Station)

Trimble

Specs
Type
Robotic total station
Angular Accuracy
1"
scanning
26,600 pts/sec
Trimble TSC5 (Controller)
TSC5
Avail

Trimble TSC5 (Controller)

Trimble

Specs
Type
Field controller
software
Trimble Access
Display
5" touchscreen
Trimble X9 (TLS)
X9
Avail

Trimble X9 (TLS)

Trimble

Specs
Type
Terrestrial laser scanner
Range
80 m
Scan Rate
Up to 500,000 pts/sec

Connectivity

Hologram IoT Cellular
Hologram
Avail

Hologram IoT Cellular

Hologram

Specs
Type
Cellular IoT SIM
Bands
Global LTE/3G
Design
Multi-carrier SIM
SpaceX Starlink Mini
Starlink Mini
Avail

SpaceX Starlink Mini

SpaceX

Specs
Type
LEO satellite terminal
Weight
1.1 kg
Design
Compact flat panel
Bands
Ku-band
Positioning
Built-in GPS
Trimble RTX Correction Service
Trimble RTX
Avail

Trimble RTX Correction Service

Trimble

Specs
Type
Satellite GNSS corrections
Accuracy
< 2 cm horizontal
Positioning
CenterPoint RTX

Data Analysis

Data we collect, and data brought to us, processed with photogrammetry and GIS pipelines, statistical analysis, and deep-learning tools where they fit the task.

Photogrammetric reconstruction (SfM/MVS)

Pix4D, Agisoft Metashape, and OpenDroneMap for sparse and dense 3D reconstruction from drone or ground imagery.

Orthomosaic generation

Corrected, georeferenced top-down mosaics from drone imagery (RGB, multispectral, thermal). GeoTIFF output in any CRS, with optional COG packaging for web tiling.

Multispectral and thermal indices

NDVI, NDRE, GNDVI, thermal anomaly maps, and custom band math from MicaSense Altum or thermal payloads.

GIS workflows

ArcGIS Pro and QGIS for spatial overlays, watershed analysis, change detection, terrain analysis, vector editing, and map production.

Point cloud processing

Classification, ground filtering, canopy height models, registration, and inter-epoch change detection (CloudCompare, lidR, PDAL, Trimble Business Center).

Statistical analysis

Time-series analysis of repeat surveys, uncertainty quantification, spatial statistics. Reproducible Python and R pipelines, version-controlled, delivered with raw data, code, and methods documentation.

Deep learning

Containerized deep-learning models applied where they outperform classical methods. Build recipes are version-controlled, so a run this year and a run next year produce the same numbers.

Lidar segmentation

Models in deployment focus on forest applications: individual-tree instance segmentation from UAV / airborne lidar (SegmentAnyTree, ForAINet) and ground-based lidar / TLS / MLS (TreeLearn, FSCT, PointsToWood). Classical baselines (AMS3D, 3DFin) sit alongside the DL models for stem detection and DBH.

Imagery analysis

Object detection and segmentation in 2D imagery from any source — aerial, drone, satellite, handheld, and camera-trap stills. SAM 2 (with samgeo for georeferenced raster I/O) handles general-purpose promptable segmentation. DeepForest specializes in tree-crown detection from aerial RGB.

Remote-sensing foundation models

Pre-trained backbones for Sentinel-1/2, Landsat, NAIP, MODIS, and UAV RGB imagery — used for zero-shot scene classification, embedding-based similarity search, and transfer learning to project-specific tasks with small label budgets. Models: Clay, Prithvi-EO (IBM/NASA), Satlas (Allen AI), RemoteCLIP.

Domain-specific applied models

Animal detection in drone thermal video; seismic phase picking (SeisBench: PhaseNet, EQTransformer); LSTM rainfall-runoff prediction (NeuralHydrology); powder-XRD multi-phase identification (autoXRD).

Data Visualization

Outputs packaged so collaborators, students, and audiences can see and use them: publication figures, interactive 3D viewers, and immersive site walks.

Maps and figures

Publication-ready static maps and figures with Matplotlib, ggplot, and ArcGIS layouts. Color-blind-safe palettes, units, and scale by default; cartographic conventions throughout.

Orthomosaics and DEM hillshades

High-resolution print outputs and web-tiled deliverables (COG, MBTiles) for inclusion in reports, dashboards, and field maps.

3D point cloud and mesh viewers

Browser-based interactive viewers for sharing point clouds and meshes with collaborators who don't run desktop GIS.

Gaussian splats

High-fidelity 3D scene captures from photo or video sets, viewable in any modern browser. Common uses: outreach, teaching, quick site documentation.

XR (VR / AR)

Meta Quest 3 and HoloLens 2 builds for immersive site walks, training, and outreach. Past projects include archaeological reconstructions, geology field-trip simulations, and remote site briefings.

Interactive web maps

Leaflet, Mapbox GL, and deck.gl maps for public-facing dashboards. Our own data catalog is one example: 124 datasets, browsable on a map.

XR hardware on hand

Meta Quest 3
Quest 3

Meta Quest 3

Meta

Microsoft HoloLens 2
HoloLens 2

Microsoft HoloLens 2

Microsoft

Access & Rates

Open to WashU faculty, staff, students, and postdocs, and to external academic and industry collaborators. The lab operates as a recharge facility under a published User Agreement.

Free initial scoping

A short conversation to confirm scope, sensors, deliverables, and timeline. No commitment.

Internal & external rates

WashU recharge rates differ from external academic and industry rates. Both are scope-dependent and quoted per project.

Written estimates

Estimates and User Agreement details are provided after the scoping conversation.

Full pricing FAQ and contact form on the Contact page.

Ready to start, or have questions?

Lead times, training, data formats, and other common questions are answered on the Contact page. Reach out and we'll respond within a few business days.

Contact the Lab