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Miniature multifunctional hyperspectral camera based on
novel IMEC HSI technology
Farmers will need to produce more food in the next 50 years than in the last 10,000 years combined (Mission Critical, May 2014)
Population growth and deficiency of land determine the high demand for resource-saving technologies
Precision Farming● Sensing● Automation
Airborne hyperspectral diagnostics of vegetation
Electromagnetic spectrum
Interaction of light with matter
Colour vision
Hyperspectral imaging
Novel hyperspectral imaging sensor
FlexibilityWorld's smallest and lightest HSI sensor ● 6 x 4 x 4cm● 150g
Accuracy & PrecisionNo trade-off between spatial and spectral resolution
Plug & Play● Integrated battery● Integrated storage● Out-of-the-box field
ready
Compatibility● Automatic/external
triggering● Trigger in, Event out● Auxiliary GNSS/INS
input● Reference integration
on senseFly eBee● HSI data supported by
major decision support system providers including Pix4D and AgriCircle
Conversion of raw data into full-resolution HSI data cubes
Radiometric and atmospheric correction
Geometric correction, registration and orthorectification
Georeferencing and generation of hyperspectral orthophoto
HSI data acquisition and processing methodology
Seeding Crop establishment
Yield protection Yield delivery
3D aerial imagery and mappingEvaluation of soil quality and fertility
Early identification of crop diseasesIdentification of environmental stressesMonitoring of crop development and growth
Detection and control of weeds and invasive species Optimizing use and distribution of chemicalsWater and nutrient use efficiency
Yield forecasting
Timely control of crop diseases
DECISION SUPPORT INFORMATION: our hyperspectral imaging technology helps farmers to maximize productivity and take management decisions throughout the life cycle of crops
DECISION SUPPORT INFORMATION: our hyperspectral sensor also provide unique information in the field of forestry and therefore help foresters with the management of forests stands
● Spatial distribution and inventory of species● Diseases and water stress● Timber volume● Clear-cut and burned areas
M. A. Wulder 2014
Basic vegetation indices● Green biomass
○ NDVI = (NIR-Red)/(NIR+Red)○ GNDVI = (780-550)/(780+550)○ SAVI = 1.5 (800-670)/(800+670+0.5)
● Water status○ WI = 900/970
● Chlorophyll content○ Chl I = 740/720○ NDI 1 = (750-705)/(750+705)○ NDI 2 = (780-710)/(780-680)○ NDI 3 = (850-710)/(850-680)○ mND = (750-705)/(750+705-2x445)○ mSR = (750-445)/(705-445)
● Nitrogen status: ○ NDRE = (790-720)/(790+720)
Source: Rodriguez et al. (2006). Australian Journal of Agricultural Research, 57:781-789.
3D terrain mapping
Spectral Analysis
RGB image
Red Green IndexZarco-Tejada et al., 2015
Gamaya hyperspectral monitoring technology
World’s smallest and lightest hyperspectral imaging sensor
Seamless integration on leading UAS platforms
Fully automated data processing methodology
Actionable decision support information
