Drone AG has recently been using Google Earth, to make farm-side research and development easier. Using multi-spectral drone data, they build a map of a field in Pix4D and then create a detailed shape (SHP) file from that map. Using these files, they’ve been able to translate coloured index maps into interactive models of fields, with clickable pixels showing the “index value” of that area.
To learn more about Pix4D, click here
When used correctly, it has strong potential to make research and development easier. The shape files can then be combined with ground-truth results, to highlight any correlation between index values and ground-truth data. Points of interest can also be included, such as problem areas, like bad drainage, bare soil and weed patches, or obstructions like pylons and “uncroppable” areas like bogs.
Anything about anything can be labeled in Google Earth. This helps with organisation alongside an up-to-date, valuable map of the field.
Having several maps for the same field at different growth stages (in various spectral indices); provides a wealth of comparison data, all within one easy-to-use, interactive map.
These are just a few of the ways in which drone data and Google Earth can simplify R&D. Drone AG is busy working on the fine-tuning of these processes.
Farmers are using drone data to build detailed, organised overviews of their farms more and more often. Drone maps serve as a useful reference point when looking at crops and comparing different algorithms for analysis techniques. They provide quality of life improvements that are only enhanced when put into an accessible format like Google Earth.
Stay tuned for a more in-depth look at how you could use Google Earth to your own advantage. Drone AG will soon be releasing a case-study on a recent trial they’ve been conducting. They’ve been using the techniques discussed above to provide an easy reference to all of the trial data they’ve collected.