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Corning microHSI 410 SHARK Hyperspectral Sensor – Rental

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Corning Hyperspectral Imaging provides hyperspectral sensors and full hyperspectral systems for all applications including precision agriculture, industrial, environmental monitoring, mining, and mineralogy. Corning’s microHSI™ family of hyperspectral sensors and systems combine the lowest size, weight and power (SWaP) in the industry with uncompromising performance, enabling deployment for challenging applications in limited payload and/or size constrained environments.

$ 630.00




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Description

A few of the 410 SHARK’s innovative features include:

  • First complete, coherent HSI sensor system designed specifically for small UAS/UAV drones
  • System includes:
    – visNIR microHSI™ 410 sensor
    – Lens
    – GPS/Inertial navigation system (INS)
    – Microprocessor control
    – Data acquisition and storage
  • Dimensions: 136.4 x 87.4 x 70.4mm (with lens)  / 95.8 x 87.4 x 70.4mm  (without lens)
    • Weight: 730 grams
  • Web interface for system management and control
  • Flight planning and execution software enables preprogramming of image collection plan
    • Automated waypoint operation, frame rate, binning, selectable image recording options
  • Operating and maintenance documentation
  • API interface (upon request)
  • Designed for minimum 30 minute operating/recording time.
    • Consistent with performance of most small UAS
    • Hot-swap battery optional; larger battery available
  • For more effective data management, the user can choose to collect the entire 155 band hyperspectral image cube, or only the spectral bands needed for a specific mission or application.
  • Digital Elevation Maps (DEM) can be loaded into the system pre-flight for the area to be imaged to improve image georegistration during post-processing.

The 410 SHARK is the lowest cost integrated airborne hyperspectral imaging system on the market today. 

Hyperspectral vs. Multispectral Imaging Technology

  • Hyperspectral imagers cover many dozens to hundreds of spectral bands contiguously
  • Multispectral imagers cover a selected set of bands non-contiguously
    • Spectral information critical for characterization, research and development of specific applications may be missing.
    • Number of spectral bands is insufficient to address multitude of developed and proven applications and indices.

Why Hyperspectral Over Multispectral for Precision Agriculture?

  • Agricultural market demand for hyperspectral sensor systems is growing to address a growing catalog of vegetation indices used for vegetation/crop analysis and diagnostics.
    • There are currently over proven 65 vegetation indices, and growing
  • New crop specific, application specific indices are being developed and introduced each year.
  • Multispectral sensor systems can utilize only a small subset of indices, and cannot take advantage of new indices as they are introduced.
  • Hyperspectral sensors enable the research and development of new vegetation indices – multispectral sensors do not.

Corning MicroHSI 410 Shark – Use Cases

Crop Growth and Health Assessment/Management

  • Enables the evaluation of vegetation stress, often before it is visible to the human eye or with other sensors.
  • Enables the visualization of change in crop growth and health, and yield prediction throughout the growing season.
  • Data products: NDVI reNDVI, Senesis and dozens of other indices

Olive Orchard – Zamora, CA

In less than 48 hours…

  • The microHSI™ 410 SHARK and miniature UAS were integrated, tested and flown, and high quality geo-referenced data sets were produced.
  • Entire system weighed less than 3.7kg including payload and battery

Nitrogen Fertilization Recommendation

NASA ROSES Program

  • Corning visNIR microHSI Sensor/System was flown over shallow reef, sea grass in Florida Keys for climate change assessment study
  • Platform: rotary wing UAV
  • Data extracted immediately after flight for processing
  • System operated without interruptions during 2 week campaign
  • NASA Group Achievement Award – 2014