DecipherAg uses Google Earth Engine’s satellite images, geospatial data and powerful global-scale processing to give you the best picture of what’s happening on your land. DecipherAg uses this information to analyse the peak NDVI reading for each pixel shown on the map, and then displays the detected measure of greenness as a colour scale.

DecipherAg currently uses images from two satellites to create its biomass view: Landsat 7 and 8.

Biomass imagery allows you to see a visual representation of the variability in crop or pasture vigour across the land.

Simply select the between MSAVI (for early in the growing season), NDVI (in the middle of the season) and NDRE (late in the season) depending on how sparse or dense the vegetation is. Read more about each vegetation index here.

Select 'Daily’, ‘Monthly’ or ‘Seasonal’ imagery and clip the imagery to a paddock, farm or global to generate an image to assess the plant growth at that time and compare it to the other dates.

The daily imagery is a single scene of biomass imagery that is taken at each satellite pass which occurs every couple of days. This allows you to track plant growth more frequently, and identify issues or seasonal impacts quickly.

Due to the high frequency of the imagery, there’s a chance that some areas will have been obscured by cloud. DecipherAg’s cloud mask function lets you remove imagery below a certain vegetation index measure (which is typically indicative of cloud cover) and remove those values from your charts, which would give an inaccurate representation of the crop or pastures growth.