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drone map

design & analysis      

elevation models,                   contour maps

  • Farm Maps:   

  • Irrigation & Drainage:

  • Estate Maps:   

  • Site Maps:   

  • Environmental   


  • Volumetric Calcs:   



farm & field mapping    crop assessments

roads, Erfs 

golf courses, security

engineering projects 


progress reporting

erosion mapping       

pollution detection   

vegetation assessment social surveys

stock pile measurements

land fill sites

earthworks and civils

Our maps and data are optimised for both professional use in GIS, Survey and CAD software as well for farmers and general public as a geo-rectified Pdfs, Free to use on Mobile Apps  and as .KML /.KMZ for easy viewing on Google Earth.

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NDVI, Tree Health Maps & Tree Counts 

better than aerobotics
better than aerobotics

Crop Assessments with Drone and NDVI

Standard drone maps give you a basic visual overview of a crop, that in many cases can reveal problem areas that you might not have known about, especially when access is difficult, but these on their own are rather limited in terms of quantifying how a crop is actually performing. It is well known that a crop can be under stress long before it is visually noticeable. We have several camera options available, to provide deeper insight into crop health, and can detect plant stress, before it is visible to the naked eye. The most common and cost effective of these are the Near Infra-Red (NIR) cameras which are used to generate NDVI maps (Normalised Difference Vegetation Index), and other reflectance maps. 



In very basic terms, how it works is that plants that are not under any stress, absorb as much light as they can get, especially in the Near Infra-Red light spectrum, whereas a plant that is under stress, for whatever reason, will start to reflect light in the NIR band. NIR cameras capture this reflectance, and by using various algorithms in GIS software, an NDVI map is generated. Essentially we are mapping chlorophyll activity. 


Each pixel on the map has a numeric value, and different colours are used to represent a range of values, to make the maps visually understandable. A high NDVI value (on a healthy plant) will therefore often be represented as a dark green colour whereas a low NDVI value (dry, bare soil) is normally represented with a red colour. Different colours represent varying degrees of stress/chlorophyll activity, and this can be adjusted to highlight certain issues within a crop. 

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Map Based Mobile Management Applications

  • Farm Management 

  • Estate Management 

  • Environmental

Tree Health Mapping / Shot Hole Borer Detection

3D Maps, Terrain Models & Contour Maps

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