Welcome to InSAR4SM’s documentation!
What is InSAR4SM?
The Interferometric Synthetic Aperture Radar for Soil moisture (InSAR4SM) is a free and open-source python toolbox for estimating soil moisture from interferometric observables.
How does it work?
InSAR4SM is a free and open-source software for estimating soil moisture using interferometric observables. It requires as inputs a) a Topstack ISCE SLC stack and b) a meteorological dataset (e.g. ERA5-Land data). The main output result is a point vector file that contains soil moisture information over time. InSAR4SM provide soil moisture estimations using interferometric observables and meteorological data using a 5-step framework. - Identification of driest SAR image based on meteorological information. - Calculation of interferometric observables (coherence and phase closure). - Identification of SAR acquisitions related to dry soil moisture conditions using coherence and amplitude information. - Calculation of coherence information due to soil moisture variations. - Soil moisture inversion using De Zan`s model.
See also
Algorithms implemented in the software are described in detail at our publication. If InSAR4SM was useful for you, we encourage you to cite the following work.
Karamvasis K, Karathanassi V. Soil moisture estimation from Sentinel-1 interferometric observations over arid regions.(under review). Preprint available here.
Contact us
Feel free to open an issue, comment or pull request. We would like to listen to your thoughts and your recommendations. Any help is very welcome!