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.
Terroir from VNIR spectroscopy
Mapping and describing natural terroir units in Denmark https://www.sciencedirect.com/science/article/pii/S0016706121000884
SoilSpec4GG wants to hear from you. Please complete this survey if you are interested in learning more about or participating in various soil spectroscopy related community science efforts: https://forms.gle/P7EsuzL4hf9zjDXw9
All of the code in this great book can be found here: https://github.com/AlexandreWadoux/soilspec
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
Interesting multistep modeling process using VNIR data on Moroccan soils - clustering, classification then ensemble modeling within each class. Slightly outperforms PLSR, NN and MBL for some properties but not for all.
https://www.sciencedirect.com/science/article/pii/S0169743921000459
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
