This document summarizes a hyperspectral camera and its applications for precision agriculture. It describes the camera as the world's smallest and lightest hyperspectral imaging sensor. The camera provides high resolution spectral and spatial data to help farmers monitor crop health and development, identify issues like diseases or nutrient deficiencies, optimize resource use, and forecast yields. It also helps foresters with tasks like species identification and inventory, detecting diseases or water stress, estimating timber volume, and mapping clear-cut or burned areas. The document outlines the camera's data acquisition and processing methodology, as well as examples of vegetation indices and applications for precision agriculture and forestry management.

1. Miniature multifunctional
hyperspectral camera based on
novel IMEC HSI technology

2. 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

3. Precision Farming
● Sensing
● Automation

4. Airborne hyperspectral
diagnostics of vegetation

5. Electromagnetic spectrum

6. Interaction of light with matter

7. Colour vision

8. Hyperspectral imaging

9. Novel hyperspectral imaging sensor
Flexibility
World's smallest and
lightest HSI sensor
● 6 x 4 x 4cm
● 150g
Accuracy & Precision
No 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

11. 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

14. Seeding Crop
establishment
Yield protection Yield delivery
3D aerial imagery and
mapping
Evaluation of soil quality
and fertility
Early identification of crop
diseases
Identification of environmental
stresses
Monitoring of crop
development and growth
Detection and control of weeds
and invasive species
Optimizing use and distribution
of chemicals
Water 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

15. 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

16. 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.

17. 3D terrain mapping

18. Spectral Analysis
RGB image
Red Green Index
Zarco-Tejada et al., 2015

19. 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

20. Thank you
Contacts:
manuel.cubero-castan@gamaya.com
http://www.gamaya.com