top of page

Skaha's Land-Surface Model

  • The algorithm is based on published, peer-reviewed papers.

  • Obtains satellite and soil data from Google Earth Engine.

  • Hourly weather data downloaded from

  • Optimized using reference data from over 1000 TDR probe measurements collected over five years across fields in Canada.

  • Used internally by Skaha to calibrate microwave data and provide customers with soil moisture status and forecasts.


Global digital elevation data from the Shuttle Radar Topography Mission at a resolution of 30 meters.


The topographic wetness index is calculated from elevation data for each field and is used to simulate the distribution of water.


From OpenLandMap we receive clay content and soil texture information and derive maps of field capacity and permanent wilting point with 250 meter resolution.


CFSv2 (Climate Forecast System Version 2) is used to collect historical data for each field, going back 250 days. If available, more accurate weather data from is used. Based on satellite data and precipitation records, evapotranspiration and water balance are calculated.


NDVI (Normalized Difference Vegetation Index) and MSI (Moisture Stress Index) maps are calculated from Sentinel-2 data.

The model provides daily maps of Volumetric Water and Plant Available Water Content.

bottom of page