Attach 1 - Specifications for Hyperspectral UAV System.pdf
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- Solicitation number
- 12905B24Q0117
About this file
This document is a Request for Quotation (RFQ) for the acquisition of a fully integrated hyperspectral, LiDAR, and thermal sensing Unmanned Aircraft System (UAS) for the United States Department of Agriculture (USDA), Agricultural Research Service (ARS), Pacific West Area (PWA), SAWS Unit in Davis, CA.
The key requirements include a UAS capable of carrying a hyperspectral camera with a spectral range of 400-2500 nm and over 450 spectral bands, a radiometric thermal camera with an accuracy of +/- 5 degrees Celsius, and a LiDAR camera with a measurement range of at least 200 m, angular resolution between 0.1-0.4 degrees, and 360 degree horizontal field of view. The system must have a carrying capacity of at least 20 kg and the ability to conduct 20+ minute missions with all sensors collecting data simultaneously. The solicitation is issued as a Total Small Business Set-Aside with a NAICS code of 336411 and a small business size standard of 1,500. Offers are due by 2:00 pm Central Time on June 26, 2024, with a 70-day required delivery timeframe after award to the USDA ARS Pacific West Area in Davis, CA. Any questions must be submitted by June 18, 2024.
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Other files
| File | Type | Posted |
|---|---|---|
| 24Q0117 - Combined Syn-SOL - T_Cs - Supply.pdf | ||
| Attach 2- Past Performance Questionnaire (PPQ).doc | DOC document |
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Minimum Requirements and Specifications Fully integrated hyperspectral, LiDAR, and thermal sensing UAS Dr. Kyle Knipper, Research Physical Scientist
Background:
Unmanned Aircraft Systems (UAS) are at the forefront of precision agriculture for their ability to capture high resolution and high spatial precision images using different remote sensing payloads. This acquisition would provide the capability to not only capture thermal imagery, but also hyperspectral and LiDAR within the same system, meaning less flight time with much more data. The thermal is imperative for energy balance equations and the estimation of crop water use; the hyperspectral sensor is cutting edge technology that has the ability to measure wavelengths associated with drought stress, crop quality and yield attributes, and other aspects of plant physiology; and the LiDAR provides data for 3D reconstruction of the canopy for improved understanding of radiative influences within unique canopy structures. For many logistical and research reasons, it is important that all these components are fully integrated into a single UAS.
Specifications and requirements:
This system should include:
• The entire system needs to be fully integrated with each of its parts, i.e., UAS capable of carrying each sensor and each sensor able to collect imagery in a synchronistic way.
• UAS with o Design integration to carry the following cameras: Hyperspectral, LiDAR, and Thermal cameras (see specifics on each camera below).
o Carrying capacity of at least 20kg.
o Ability to conduct missions upwards of 20 minutes with all sensors collecting data simultaneously on one flight.
• Fully integrated Hyperspectral camera with:
o spectral range of 400-2500 nm.
o >450 combined spectral bands (narrow bands provide more specificity).
• Fully integrated radiometric thermal camera with:
o Radiometric accuracy +- 5 degrees Celsius or less.
o Operating temperature range between -20 degrees C and +50 degrees C
• Fully integrated LiDAR camera with:
o Measurement range greater than or equal to 200 m o Angular resolution between 0.1 and 0.4 degrees o Vertical field of view of 40 degrees o Horizontal field of view of 360 degrees
• Upgraded GPS (IMU unit) due to amount of sensors on board o IMU data rate 200 Hz for internal and external IMU
• Tripod (so the hyperspectral camera can be used on the ground with additional sensors) o Capable of holding the Mjolnir hyperspectral camera
| Unmanned Aircraft Systems (UAS) are at the forefront of precision agriculture for their ability to capture high resolution and high spatial precision images using different remote sensing payloads. This acquisition would provide the capability to not ... |
| This system should include: |
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