GeoPard is making history by being the first company to automate the online creation of high-resolution 3D topography maps with their new 3D mapping tool. In just a few seconds, users can generate maps that contain and simplify the complex variability in the topography and relief data of a given area. GeoPard is continuing their mission to make such resources more accessible, and users do not need a powerful computer or specialized skills to produce and analyze these novel maps.
This 3D mapping tool can be used with any base layer, including LIDAR topography, slopes, soil agrochemical properties, data from yield/as-applied/as-planted datasets, ground scanners and even vegetation indices. Additionally, any cover map like zones from yield, historical vegetation, organic matter, electrical conductivity, or pH distribution can be utilized on top of the base layer. The maps generated through this tool can help users better understand how relief and topography influence soil properties, vegetation, and yield, and contribute to a better visual and analytical understanding of how to manage individual land parcels.
It is important to say, that it is a live 3d model that works directly in the browser without any 3rd party programs or extensions installation. You can rotate, zoom in and zoom out, and change cover maps to understand fields better.
The way topography affects vegetative growth has a significant impact on crop yield, which you can read more about in a previous blog post here. This places in perspective the value of the GeoPard 3D mapping tool, which can improve our knowledge about yield potentials and inform planting patterns. Whatsmore, 3D modeling provides insight into how watersheds feed into your land and the pathways water takes when infiltrating your soil. GeoPard’s topographic maps can relay essential information about surface and subsurface drainage inefficiencies, allowing irrigation and drainage systems to be reworked to optimize soil water availability for your crops. GeoPard is aiming high with the development of new tools like this and is constantly trying to improve and refine our global understanding of just how accurate field-level analytics for precision agriculture can be. If you are interested in knowing more about how this terrain data is collected, feel free to check out this post to learn more!
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