Published April 1, 2026 | Version v1.0.0
Software Open

SenSE: Community SAR ScattEring model

  • 1. ROR icon Ludwig-Maximilians-Universität München
  • 2. ROR icon University of Rostock
  • 3. EDMO icon Fraunhofer Institute for Computer Graphics Research

Description

This acts to archive SenSE used for publication in the Journal of Open Source Software (JOSS).

Abstract

SenSE is a comprehensive community framework designed for radiative transfer (RT) modeling in the active microwave domain. It summarizes various RT models developed for synthetic aperture radar (SAR) to simulate backscatter responses from open soil and vegetated land surfaces, primarily in agricultural settings. This integration encompasses different models for scattering and emission across various surfaces, providing a cohesive operational structure.

One of the framework’s most significant advantages is its modular design, which allows for the easy substitution and analysis of different surface and canopy scattering models within a single system. This flexibility facilitates seamless model exchange, enhancing the framework’s adaptability and utility. The SenSE package currently includes several surface models such as Oh92 (Oh et al., 1992), Oh04 (Oh, 2004), Dubois95 (Dubois et al., 1995), IEM (Fung et al., 1992), and the surface component of the Water Cloud Model (WCM) (Attema & Ulaby, 1978). For canopy modeling, it supports models like SSRT (Ulaby & Long, 2014) and WCM (Attema & Ulaby, 1978).
 
Additionally, the framework incorporates the dielectric mixing model by Dobson et al. (Dobson et al., 1985), available in various versions for converting soil moisture content to a dielectric constant. SenSE also includes essential utility functions, such as those for frequency-wavelength conversion and calculating Fresnel reflectivity coefficients, further enhancing its analytical capabilities.

For more detailed information, users are directed to the ReadtheDocs documentation and the original sources of each model, ensuring comprehensive access to technical details and operational guidelines.

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McWhity/sense-v1.0.0.zip

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Additional details

Related works

Is supplement to
Software: https://github.com/McWhity/sense/tree/v1.0.0 (URL)

Software

Repository URL
https://github.com/McWhity/sense
Programming language
Python
Development Status
Active