4 GLOBAL GOOD
An Open Soil Spectroscopy library based on the Open Source Software
Woodwell Climate Research Center and the USDA NIFA Food and Agriculture Cyber-informatics Tools Coordinated Innovation Network Soil Spectroscopy for the Global Good cordially invites you
We would like to invite you to a series of online and in-person workshops on the use of soil spectroscopy. This workshop series will focus
AN OPEN SOIL
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
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.
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.
ACCESS WEB-SERVICES USING API
Data and software / computing will be served through robust and easy to use web-services and API. Users can upload their soil spectroscopy readings and obtain calibrations in near-to-real time.
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.