In my quest to improve the prediction of soil organic carbon ( SOC) in a study area that is very poor in SOC, one of the options I was told was the possibility of using remote sensing. Do anyone has an idea of how that can be done. I will like to explore the possibilities of either using airborne or space-borne image for that.
Currently, I have done an work in very recent on soil organic carbon (SOC). I suggest you first of all you can go through Google Earth Engine (GEE) use Sentinel- 1/2 image and try to calculate the phenological indices from NDVI or ENDVI time series data then with the help of the results you can improve your prediction on SOC. I have attached an article link please do follow this article and hope your quaries may fulfill.
https://doi.org/10.1016/j.still.2019.104465
Dear James
Look at the following, that could help:
http://www.fao.org/global-soil-partnership/pillars-action/4-information-and-data-new/global-soil-organic-carbon-gsoc-map/en/
Good luck
Dear James,
Please have a look at the following articles it may help:
https://www.mdpi.com/2072-4292/11/6/676
Article Soil Organic Carbon Estimation in Croplands by Hyperspectral...
Dear James,
I know that there is an interesting project called "PROSOIL" which exploits Sentinel-2 data. Please check the following links.
- https://sentinels.copernicus.eu/web/sentinel/news/-/article/copernicus-sentinel-2-data-to-estimate-soil-organic-carbon-in-croplands
- https://www.elic.ucl.ac.be/modx/index.php?id=989
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