Ecodrone®-KestrelHigh resolution unmanned aerial vehicle hyperspectral remote sensing system
Ecodrone®-KestrelThe high-resolution unmanned aerial vehicle hyperspectral remote sensing system is an Ecodrone independently developed by the Yiketai Spectral Imaging and Unmanned Aerial Vehicle Remote Sensing Technology Research Center®On the basis of the UAS-8 Pro high load unmanned aerial vehicle remote sensing platform, the latest high-end scientific research grade unmanned aerial vehicle remote sensing monitoring system is integrated with the AisaKestrel high-resolution hyperspectral imaging system designed and produced by the international hyperspectral imaging technology leader Specim.
This system can simultaneously mount thermo RGB imaging and perform integrated hyperspectral infrared thermal imaging unmanned aerial vehicle remote sensing monitoring. It is mainly used in large-scale and multi-dimensional smart agriculture research, field high-throughput phenotype analysis, forest vegetation resource monitoring, water resources and ecological environment monitoring, geological and mineral exploration monitoring and other fields.
Ecodrone®-KestrelHigh resolution unmanned aerial vehicle hyperspectral remote sensing system
1 Main technical features
lIndependently developed super heavy load, coaxial 8-rotor professional unmanned aerial vehicle platform, capable of carrying a load of 20kg for safe flight
lPowerful scalability and compatibility, capable of carrying two different monitoring devices simultaneously and freely replaceable, with reserved integrated interfaces
lEquipped with AisaKestrel high-resolution hyperspectral imaging system, capable of flying for 30 minutes
lResearch grade push scan hyperspectral imaging technology, with a spectral range of 400-1000nm
lThe spatial resolution is as high as 2040px, and the ground resolution corresponding to a height of 50m is better than 2cm, which can be used for high-throughput crop phenotype analysis
lSpectral sampling at 1.75nm, with 356 bands (Binning × 2), high-precision POS system and DPU, capable of collecting high-quality data without the need for a gimbal
l100mThe high single sample line flight operation can automatically collect and form a 72m wide sample strip hyperspectral imaging big data
lOptional 600-1640nm visible short wave infrared hyperspectral imaging with a spatial resolution of 640px
lOptional Thermo-RGB infrared thermal imaging and RGB imaging, scientific research grade infrared thermal imaging technology, multi-point blackbody calibration, resolution 640 × 512px, 1920 × 1080px visible light lens, 10x optical zoom, magnetic encoding stabilization gimbal, 300 adjustments per second, effectively improving data acquisition quality
2 Sensor configuration
1)AisaKestrelHigh resolution hyperspectral imaging:
a)Truly research grade high-end hyperspectral imaging technology
b)High light transmission push scan imaging
c)High resolution: 2040 or 640 pixels
d)High sensitivity, high signal-to-noise ratio
e)Spectral range: 400-1000nm/600-1640nm
f)Integrated high-precision POS system, no need for gimbal installation
2)
Thermo-RGBInfrared thermography:
a)Band 7.5-13.5 μ m, multi-point blackbody calibration
b)Resolution 640 × 512, sensitivity 50mK
c)10Optical zoom lens with a resolution of 1920 × 1080
d)19Color palette, online real-time temperature measurement and analysis
e)Temperature measurement range -25 ℃ -150 ℃
f)Optional CWSI crop water stress imaging measurement
g) Magnetic encoding stabilized gimbal, adjusted 300 times per second
3)Integrated hyperspectral infrared thermal imaging:
Integrating AisaKestrel hyperspectral imaging and Thermo RGB for simultaneous high-resolution hyperspectral infrared thermal imaging remote sensing monitoring. One operation can simultaneously collect hyperspectral, thermal imaging, and RGB data
4)Optional sensors:
a)400-1700nmDual lens hyperspectral imaging
b)High definition RGB imaging
c)ENVISReal time environmental monitoring system
d)LiDARLaser radar
3 Application Cases
Evaluation of the Late Growth Trend of Winter Wheat:The following figure shows the RGB image, NDVI and PSRI images at heading stage, NDVI and PSRI images at maturity stage. By extracting the reflectance spectral index, it reflects that from heading to maturity stage, the nutritional growth of wheat basically stops, the growth vitality significantly decreases, and the maturity increases significantly, indicating that it is about to enter the harvesting stage.
(Image provided by Yiketai Spectral Imaging and Unmanned Aerial Vehicle Remote Sensing Research Center
4 application area