Soil Spectroscopy for Global Good - An Open Soil Spectroscopy library based on the Open Source Software
soilspec4gg@woodwellclimate.org

WHY SOILSPEC4GG? ADVANCING GLOBAL SOIL SCIENCE OPEN SOIL SPECTROSCOPY LIBRARY DATABASES DIFFUSE REFLECTANCE SOIL SPECTROSCOPY GET IN TOUCH MACHINE LEARNING FOR SOIL SCIENCE FIND OUT MORE

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.
DEVELOP
Develop an advanced yet intuitive, open source, web-hosted platform to predict various soil properties from MIR spectra collected on any spectrometer anywhere in the world.
DOCUMENT
Document and publish the code and procedures used to generate data and models.










   

NEWS

LATEST DEVELOPMENTS

AN OPEN SOIL SPECTROSCOPY LIBRARY

Making soil data available across borders
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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. 



MAJOR PROJECT OUTPUTS

DATABASES, SOFTWARE, WEB-SERVICES, PUBLICATIONS


DATABASES
Open Soil Spectroscopy Library

The network will deliver an Open Soil Spectroscopy Library (OSSL), backed by large spectral databases and robust statistical models, which derives soil properties from the spectral data.


SOFTWARE
R AND PYTHON LIBRARIES

The network will create open source software to quality check, harmonize and standardize spectra and soil data collections. The software will built upon existing OS packages for soil spectroscopy.



WEB-SERVICES
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.



PUBLICATIONS
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.


JOIN SOILSPEC4GG!

Soil Spectroscopy for Global Good - An Open Soil Spectroscopy library based on the Open Source Software

List of partners on project already contributing data and code. Contact us to join this initative.

We're delighted to announce a second webinar featuring @rlleonardo presenting "Getting accurate predictions from large and diverse spectral libraries" on May 5th

For more information & registration link, please visit: https://soilspectroscopy.org/soilspec4gg-webinar-series-ii-5-may-2021/

Soil Spectroscopy for the Global Good is pleased to announce the start of a webinar series. Our first guest is Dr. Alexandre Wadoux from University of Sydney on 27 Apr at 7 pm ET (28 Apr 9 am in Sydney). If you want to attend live, register here:
https://soilspectroscopy.org/soilspec4gg-webinar-series-i-27-april-2021/

Prediction of various soil properties for a national spatial dataset of Scottish soils based on four different chemometric approaches: A comparison of near infrared and mid-infrared spectroscopy. Neat new work coming out of the @JamesHuttonInst
https://www.sciencedirect.com/science/article/pii/S0016706121001452

Evaluation of different calibration transfer methods - spectral space transfer more accurate and efficient than other methods.

https://onlinelibrary.wiley.com/share/author/BTBCNYVER3RB7UJ2MYHG?target=10.1002/saj2.20225

Click bait title for spectroscopy nerds, but we clicked on it.

#PLOSONE: How similar is “similar,” or what is the best measure of soil spectral and physiochemical similarity https://dx.plos.org/10.1371/journal.pone.0247028

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