Backscattering models for bare soil surface parameters

[MitroM]

Hello all

I have been looking in to some options for soil moisture retrieval from Sentinel-1 GRD-data. Change detection using “dry” and “wet” scenes, produced poor outcomes in my case. Method discussed here:

Soil moisture identification -Sentinel

Hi, First of all, there are quite a few methods developed for deriving soil moisture. I have used the change detection method. A time series of SAR images is require (you have already collected the images as you mentioned). In terms of pre-processing the SAR images, Figure 1 describes the steps that need to be followed. [SAR_preprocessing] Figure 1. SAR image preprocessing Once each image is pre-processed, then you can apply the equations described in the papers below to derive the soil wetn…

Therefore, I would be interested to know more of bare soil backscattering model options for Sentinel-1 VH & VV -polarized data sets. I have ran in to studies suggesting HH-pol as optimal for soil property retrieval. This option hast o be omitted due to availability, caused by Sentinel-1 observation scenario:
https://sentinel.esa.int/web/sentinel/missions/sentinel-1/observation-scenario

I have couple of questions that I am looking answers to

• What kind of backscattering model options exists that are usable with VH&VV GRD-data available?
• Do these models require other auxiliary data, or can all parameters be retrieved from GRD-data?
  (soil surface roughness estimate, dielectric constant or other parameters needed)

Thank you in advance.