Uncrewed Aerial Systems
The marine landscape ecology lab maintains a number of uncrewed aerial systems and specialized sensors that are designed to carry out a variety of mapping missions in the coastal environment.
DJI Mavic 3 Enterprise Series Drones
The lab maintains two, Mavic 3 Enterprise drones. In addition to an RTK system, each drone carries a dual RGB and multispectral sensor.
Skydio X10 Drone
The lab maintains a Skydio X10 drone. The drone comes equipped with 64 MP RGB camera along with an integrated thermal imager.
Parrot ANAFI Ai Drone
The lab maintains one Parrot ANAFI Ai Drone. The drone comes equipped with a 48 MP camera along with remote data transmission capabilities.
DJI Matrice 350 RTK Drone
The lab maintains a DJI Matrice 350 RTK heavy payload drone. The drone is capable of carrying multiple sensors to enable a multitude of data collection methods in the coastal environment.
Trinity Pro Fixed Wing Vertical Takeoff and Landing (VTOL) Drone
The lab maintains a Trinity Pro VTOL drone to support ship-based and long-range mapping missions.
Remotely Operated Vehicles
The Marine Landscape Ecology lab owns two remotely operated vehicles (ROVs) to help support subtidal survey work in the nearshore coastal environment. Our ROV inventory is listed below.
- QYSEA FIFISH V6 Expert – 330 ft depth rating, 4K video, 12 MP digital camera
- PowerVision PowerRay – 100 ft depth rating, 4k video, 12 MP digital camera
Sensors
Micasense Altum 5-band multispectral sensor
The lab maintains a Micasense Altum 5-band multispectral sensors with an integrated thermal band. The sensor supports specialized surveys for habitats such as kelp forest and estuary habitats.
Sony ILX-LRI DSLR Camera
The lab maintains a single Sony ILX-LR1 DSLR 61 MP camera. The camera can be outfitted onto the Trinity Pro and Matrice 350 drones. The camera supports high altitude surveys that require increased data resolution.
Survey Equipment
Emlid Reach RS2+ Multi-band RTK GNSS Receiver
The lab owns two of these mobile RTK receivers to use in support of drone surveys. The positioning data collected by the receivers can improve the spatial positioning of survey data collected by drones.
Computing Software
Pix4D Photogrammetry Software
The lab maintains multiple Pix4D licenses to support the processing of image data including 3D photogrammetry modeling.
ARC-GIS Pro
The lab maintains licenses for Arc-GIS Pro to support post-processing of image data including the development of machine learning models for classifying habitat and species in drone images.
