I don’t think so.
Is it due to the fully polarimetric in Radarsat 2?
Not without any data from the field, nor in any standardized way.
Have a look at some studies: https://scholar.google.com/scholar?q=radarsat-2+soil+moisture
I am also really interested in soil moisture. Has anyone come up with a good recipe for this yet? I would love to try it out and provide feedback and share my findings.
The workflow in the webinar mentioned above looks promising, but it misses the most interesting step of “SM-Dielectric Modeling”
This was from something developed for AAFC. Unfortunately, we may need to redevelop it from scratch in order to open source it.
Hi…
I contacted with AAFC and request soil moistures tool and finally, Heather McNairn and Jiao Xianfeng sends a link, SNAP with soil moisture tools. I’m want to give you a link to download the file with their permission.
mcarslanoglu what the link you given it is not opening for soil moisture tool in SNAP, how you approached them, can you please help me.
thanks in advance
Hello sir!
i have a ground data of soil moisture .now i want to calculate soil moisture from SAR …so what i do…please help me!
Could you explain how to download please?.
Thank you
hi sir! i opened the above link but i cannot see any extinction by which i can directly estimates soil moisture.please help me
There is no stb-xj in the ftp repository. Just wandering if you can share the download.
Hi.
The stb-xj is not there anymore, the ftp folder is empty. Just wondering if you can share the downloaded installer/plug-in.
Thanks.
Hi ABraun How can I get Soil moisture map for my study area after correlating backscattering coefficient and volumetric soil moisture content which is collected from the site
there are many ways to do it, but I am no expert in either of them, sorry.
My advice is to look at some studies and try to find the approach which fits your needs best.
Did you get a linear relationship between backscatter and moisture?
The easiest way then would be to apply the regression on an image and mask out all invalid areas (vegetation, urban, water).
The approach described by johngan here is also quite straightforward and promising, but it is based on images from the rainy and dry season: Soil moisture identification -Sentinel
But you could still use your measurements for refinement or validation in this approach.
I think the most important thing for you is to decide for one strategy and see what is needed to accomplish it over the entire workflow, instead of proceeding by single steps unknowing what comes next.
Hope this helps you a bit.
Some interesting approaches:
- Soil moisture mapping using Sentinel - 1 images: Algorithm and preliminary validation
- Synergetic use of Sentinel - 1 and Sentinel-2 data for soil moisture mapping at 100 m resolution
- SMOSAR algorithm for soil moisture retrieval using Sentinel - 1 data
- Synergic use of Sentinel - 1 and Sentinel-2 images for operational soil moisture mapping at high spatial resolution over agricultural areas
- Soil moisture content estimation based on Sentinel - 1 and auxiliary earth observation products. A hydrological approach
- Joint Sentinel ‐ 1 and SMAP data assimilation to improve soil moisture estimates
you are right and at this time i want to adopt the empirical method using onsite SMC data and i want know how i can make soil moisture content map using my data and backscratching coefficients