WHY SOILSPEC4GG?
Today's data-driven agriculture demands access to high-resolution spatial and temporal soil data streams. Soil spectroscopy can help fill this data gap. Diffuse reflectance spectroscopy is becoming an indispensable tool in soil science; however, several technical challenges still limit its broader application outside of research projects.
SoilSpec4GG is a USDA-funded Food and Agriculture Cyberinformatics Tools Coordinated Innovation Network. This project will bring together soil scientists, spectroscopists, informaticians, data scientists and software engineers to overcome some of the current bottlenecks preventing wider and more efficient use of soil spectroscopy. A series of working groups will be formed to address topics including calibration transfer, model choice, outreach & demonstration, and use of spectroscopy to inform global carbon cycle modeling.
A fantastic resource for #rstats minded soil spectroscopists.
Just published: Soil Spectral Inference with R with AWadoux, @sOiLmAlOnE , DrMario & AMcBratney.. provides comprehensive framework to analyse your spectral data.. How to .... snv, wavelets, pca, sam, clhs, pls, mbl, cubist, epo, pds, lots more acronyms
https://www.springer.com/gp/book/9783030648954
A novel framework to estimate soil mineralogy using soil spectroscopy - neat work by Wanderson de Sousa Mendes
https://www.sciencedirect.com/science/article/pii/S088329272100041X
Soil exchangeable cations estimation using Vis-NIR spectroscopy
https://www.sciencedirect.com/science/article/pii/S0168169921000089
In case you missed it, our February newsletter (and a slowly building list of spectroscopy references) can be found here: https://soilspectroscopy.org/resources/
Check out our new blog post by Wanderson Mendes discussing the rise in popularity in the open-source tools available for processing and modeling soil spectroscopy data.
https://soilspectroscopy.org/soil-spectroscopy-state-of-the-art-open-source-software/
