Topography is one of the major factors affecting yield and nutrition content in the soil. Thus slope can be a major yield-limiting factor especially for undrained spots or eroded elevated spots, flow accumulation can impact yield significantly depending on dry or wet years. In some regions, topographical land features can explain even mid-double-digit percentage of yield variability.
As GeoPard is moving towards becoming a powerhouse for ag data analytics, we’ve added advanced topography analysis in the system.
All you need to do is to create a field boundary (draw, import or batch import). GeoPard automatically creates Digital Elevation Model (DEM) for your field, and calculates the following topographic models and combined maps:
We calculate all these models since only DEM is not enough to accurately determine the field topography, for example, there may be a hilltop in the lowland that will differ in soil characteristics and productivity from other parts of the field with the same height in absolute values – e.g. slopy area, depression.
These are screenshots reflecting the correlation of topography and multi-year crop development pattern:
GeoPard incorporated various digital elevation datasets globally, from LIDAR with 2m spatial resolution in the UK to 30m SRTM, to provide the best possible topography analytics.
Let us know what other ag data analytics or other elevation derivatives you would like to see in GeoPard Agriculture as the next piece of a yield understanding puzzle!
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