Viticulture

Often in Viticulture we find uniform amounts of water, fertilisers, and pesticides are applied as standard procedure, though not reliably effective. Now Ag businesses can tailor vineyard management decisions, by using modern precision agricultural techniques.  These scientific approaches include analysing remotely acquired data and imagery from the use of UAV’s. Whether it’s data capture or analytics, Stratus Imaging is your avenue to maximizing yields and increasing profits.

Drones, or UAVs, are an excellent and cost effective way to scout and gather data on vineyards. We use a calibrated multispectral & RGB cameras mounted to a UAV to maximise the integrity and precision of the data gathered allowing for quantified management decisions.  The tricky part can be transforming all the data into informative information while maintaining important spectral data within the raw images.

Riesling
Vine Poster web

Typical Datasets provided to clients include

  • Tif Files - These can be viewed in open source GIS software like QGIS if you want to apply your own colour scheme.
  • PDF File –  An example of these are shown below, NDVI, NDRE & elevation maps for future planning.
  • KML/KMZ File – Overlay for google earth.

Note: The scale goes from 0 (no biomass) to 1 (saturated biomass)

NDVI
NDRE

The Normalized Difference Vegetation Index (NDVI) is an index of plant "greenness" or photosynthetic activity, and is one of the most commonly used vegetation indices. Vegetation indices are based on the observation that different surfaces reflect different types of light differently. Photosynthetically active vegetation, in particular, absorbs most of the red light that hits it while reflecting much of the near infrared light. Vegetation that is dead or stressed reflects more red light and less near infrared light. Likewise, non-vegetated surfaces have a much more even reflectance across the light spectrum.

NDRE uses a red edge filter to view the reflectance from the canopy of the crop. The red edge is a region in the red-NIR transition zone of vegetation reflectance spectrum and marks the boundary between absorption by chlorophyll in the red visible region, and scattering due to leaf internal structure in the NIR region.

Contours provided in Google KML file for overlay

contours

Contours provided in .shp file format and PDF

contour data

The elevation information assists in managing water drainage patterns and vineyard planning. The spacing is typically around 1m. With use of Real Time Kinematic (RTK) satellite navigation we can enhance the precision derived from satellite-based positioning systems and can achieve a 2cm absolute XY accuracy, approx. 1mm relative XY accuracy and multiplying these numbers by 3 for elevation accuracy.