SOIL.SPECTROSCOPY
4 GLOBAL GOOD
An Open Soil Spectroscopy library based on the Open Source Software
ENABLE
Accelerate the pace of scientific discovery in soil spectroscopy by facilitating and supporting a collaborative network of researchers.
CONNECT
Connect international teams and experts in the fields of soil spectroscopy, remote sensing of soils and data science.
LATEST DEVELOPMENT
5 December 2021 On this World Soils Day, the Soil Spectroscopy for the Global Good Coordinated Innovation Network is pleased to announce the release of
Dear spectroscopy friends, This project has been slowly building steam over one year of pandemic forced remote meetings and we’re really hoping that we can
Please join us for our second soil spectroscopy webinar featuring Dr. Leonardo Ramirez-Lopez (Wednesday, May 5 2021, 9 am EDT). Dr. Ramirez-Lopez is head of the Data
AN OPEN SOIL
SPECTROSCOPY LIBRARY
Making soil data available across borders
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.
MAJOR PROJECT OUTPUTS
ACCESS WEB-SERVICES USING API
Data and software / computing will be served through robust and easy to use web-services and API. Users should be able to upload their soil spectroscopy readings and obtain callibrations in near-to-real time.
DOCUMENTATION, TUTORIALS
All software and data will be accompanied with extensive documentation. Demonstration, outreach and educational activities will promote the use of the OSSL and data-driven science.
Calibration set optimization and library transfer for soil carbon estimation using soil spectroscopy – A review
https://acsess.onlinelibrary.wiley.com/doi/abs/10.1002/saj2.20435#.YocRkMqX7ac.twitter
Calibration Spiking of MIR-DRIFTS Soil Spectra for Carbon Predictions Using PLSR Extensions and Log-Ratio Transformations
https://www.mdpi.com/1625950 #mdpiagriculture via @AgricultureMdpi
Interested in soil data? I’m pulling together a series of 3 workshops over the summer on #SoilData (data models, templates, and semantics/vocab). https://docs.google.com/document/d/1njLQnye9-mLJgdmS6Rm4khKYmZHjn2JlVIC0PKeQe90/edit?usp=sharing for more information!
Always interesting to read about spectroscopy applications in other fields of science. Several sample-free calibration transfer papers in the mix...
Spectroscopy and Chemometrics News Weekly #18, 2022
https://calibrationmodel.com/spectroscopy-and-chemometrics-machine-learning-news-weekly-18-2022-11633/?utm_source=twitter.com/CalibModel_TweetAt_20220509_084514&utm_medium=twitter
#NIRS #NIR #Spectroscopy #MachineLearning #Spectrometer #Spectrometric #Analytical #Chemistry #Chemical #Analysis #Lab #Labs #Laboratories #Laboratory #Software #IoT #Sensors #QA #QC #Testing #Quality
Recording of Preston Sorenson's webinar on hyperspectral imaging of soil profiles is now available:
https://av.tib.eu/media/57308
