Documentation
Skaha-Drone
Skaha-IrrigationLand-Surface ModelSkaha-DroneSkaha-Survey
Skaha-Drone
Skaha-IrrigationLand-Surface ModelSkaha-DroneSkaha-Survey
  • Introduction: Digital L-Band (1.4 GHz) Polarimeter for UAVs
  • Microwave Polarimetry
    • Radio Wave Polarization
  • Technical Description
    • Mounting Options
    • Antenna
    • Control Unit
    • RF Signal Chain
    • A/D Converter and Digital Correlator
    • Receiver Noise Temperature
    • Internal Calibration
    • Radio Interference Filter
  • Ground Station and User Interface
    • Ground Station
    • Labels and Tags
    • Status
    • Settings
    • Rawdata
    • Map
    • Internal
  • Online Processing
    • Introduction
    • Sanity Check and Filtering
    • Gain Calibration
    • Conversion to Volumetric Water Content
    • Data Storage in Google Drive
  • Working with the Sensor and Data
    • HDF5 File Structure
    • Python Scripts
    • Test Observations
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  1. Online Processing

Conversion to Volumetric Water Content

Third step of the data processing chain.

PreviousGain CalibrationNextData Storage in Google Drive

Last updated 1 year ago

Next is the conversion of microwave brightness temperature into volumetric water content.

Skaha's land-surface model (LSM) is used to calculate the average field moisture level. Details about the process can be found in the LSM documentation.

If the dataset is for a new field, calculating the average soil moisture can take several hours. The calculation takes only a few seconds if the meteorological, satellite, and soil data have already been obtained.

Below is an example of a field calibrated in brightness temperature TBT_BTB​ (left) and volumetric water content (right). Since we assume a linear relation between the two, the only change between the two is in the units.