
As water is usually a limited resource in agriculture, it needs to be saved as best as possible. Starch potatoes in NE Germany need to be irrigated with about 80 - 120 mm during a vegetation period depending on climate conditions. Here, agriculturists often over- or underestimate the potatoes needs of water, so there is a potential for optimization. WaterBalanceR is an R-Package to create maps showing daily, spatially distributed water balance for starch potatoes in NE Germany and beyond. NDVI data needs to be derived from either preprocessed DJI Phantom 4 Multispectral or PlanetScope satellite data or Sentinel-2 satellite data. Any further information like reference evapotranspiration can automatically be downloaded from German Weather Service (DWD) and processed within the package. Besides, there is also a tool included to download and process irrigation data from "Raindancer", if the user has got a subscription for it. The model output can show a high spatial resolution map with a default of 5 m, so an irrigation on a pricision farming scale can be applied, depending on the individual need of water in every pixel. As the output is exported either as a portable network graphics (.png) and as Shapfiles (.shp), there as is solution that be can helpful for supporting decisions at first glance as well as for further development.
Waterbalance, PlanetScope, NE Germany, Multispectral, NDVI, DJI Phantom 4Multispectral, starch potatoes, potatoes, Arable Mark 2, Sentinel-2, Irrigation, DEMMIN
Waterbalance, PlanetScope, NE Germany, Multispectral, NDVI, DJI Phantom 4Multispectral, starch potatoes, potatoes, Arable Mark 2, Sentinel-2, Irrigation, DEMMIN
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