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.
Spectral Range: 400nm-1000nm

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.

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.

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

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

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