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Ground-base Hyperspectral Imaging
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Product Code: ATH6010

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Portable ground-based VIS-NIR hyperspectral camera is designed for field work. It employs auto-scan imaging system, and reserves the advantage of high resolution, combined spectrum, and easy-to-operate, convenient-to-install, transportable, internal power supply.

Advantage:

Integrated built-in power supply: hyperspectral imager, moving system requires no individual power supply

Accurate moving system can benefit stable and reliable measurement environment. Multiple types: Built-in scan, built-in scan mirror, entire sweep broom

Moving control system: Bluetooth, wire control (optional)

Fast-to-install tripod suit to different measurement environment

High performance hyperspectral imager with a spectral resolution <2.3nm Customized development according to customers.


hyperspectral
FOV width 15.2°@35mm
Slit Width 25μm
Spectral Resolution <2.8nm
Spatial Resolution 0.7mrad@35mm
Spectral Channels 270(4×4binning)
Spatial Channels 400(4×4binning)
hyperspectral Imaging Camera 400-1000nm
scan range ±20° (Customerized)
Frame Rate 80Hz
Data quantization level 12bits
Interface GigE/Bluetooth/USB2.0
Detector 1920*2000

ATH6010 configured tripod can scan full angles. HY-6011 can scan horizontal 360°Scan Range: Full anglesResolution: super than 2.3nmCompatibility: Spectral data compatible with ENVI software running and processing.Easy-to-take suit to field measurementIt's available for customized requirements.

Items

Specification

Spectral Range

400-1000nm

Spectral Resolution

2.2nm

Spatial Resolution

0.9mrad@35mm lens

Max Frame Rate

80

FOV

21°

Spectral Channels

2704×4binning

Spatial Channels

4804×4binning

Slit Size

30um

Data Quantification Class

12bit

Detector

1920*1080,30um

Horizontal scan range

ATH6010:±20° adjustable

ATH6011:360° adjustable

Vertical adjustable degree

ATH6010360°

ATH6011:±45°

Power Supply Type

Internal power supply

Monitor Agriculture: plant diseases and insect pest, disaster, categories ID etc.

Forestry: Tree categories identification, Phytomass, nutrient elements, forest health etc.

Water Environment: Water quality parameters, water waste spatial distribution and migration analysis

Soil Pollution: heavy metal waste

Minerals: Mineral mapping, ingredients explore, metallogenic prognosis etc.

City geological substances classification and identification.


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