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SENSORS
The Terresense Sensor Suite is the culmination of over 15 years of research and development. The suite has completed all of its system development, aircraft installation and integration, sensor fusion, algorithm development, and operational field testing. The key components of the Terresense Sensor Suite (patent pending) are the BioSAR 30™ foliage penetrating radar (patented), a down looking laser radar (lidar), a hyperspectral imaging camera, and a video camera recording to a digital video recorder. All of the sensors are integrated and operate on GPS time.
BioSAR 30™ RADAR
The BioSAR 30™ Radar operates at a frequency spectrum that allows forest canopy penetration. The sensor transmits radio waves to the ground and detects the characteristics of the radio waves returning to the sensor. This information is processed and produces biomass and carbon measurements of the forest.
LiDAR (Light Detection and Ranging)
LiDAR (Light Detection and Ranging) transmits a series of light pulses to the ground and to the tops of trees and measures the time they take to return to the receiver. This calculation is very accurate in determining the height of trees or other objects.
HYPERSPECTRAL IMAGING CAMERA
The sensor detects the spectrum of light reflected from objects off the earth’s surface. Each type of tree reflects a unique spectrum of light that can be detected and used to identify it. This information will be used to determine the tree species present in the forests.
REASEARCH & DEVELOPMENT
Terresense, Inc. is committed to developing, experimenting, testing, and integrating additional sensors to provide our customers with the most advanced technology available at an economic cost. Terresense, Inc. welcomes any comments or recommendations to help shape the sensor package to better serve the needs of our customers.
TECHNOLOGY WHITE PAPERS
Technology White Papers are available upon request.
Contact us for the following academic studies:
- Banskota, A, et al, "Synergistic use of very high frequency radar and discrete-return LiDAR for estimating; biomass in temperate hardwood and mixed forests," ANNALS OF FOREST SCIENCE, 2009.
- Nelson, R, et al, "Investigating RADAR-LiDAR synergy in a North Carolina Pine Forest," SCIENCEDIRECT, 2007.
