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
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
Hello soil spectroscopists! Under the SoilSpec4GG initiative, we started this year an inter-laboratory spectroscopy ring trial for comparing the variability of spectral response across different
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.
More deep learning approaches thrown at LUCAS spectral data...
https://www.sciencedirect.com/science/article/pii/S001670612300232X
We are also running a pre-conference training on predictive soil spectroscopy.
https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Session/25216
5 more days to submit an abstract on soil spectroscopy or anything else at the #ACSmtg 2023 meeting. 14 interesting abstracts so far.
More mining of LUCAS VNIR data for soil texture, highlighting methods for optimizing convoluted neural networks...
https://www.sciencedirect.com/science/article/pii/S0016706123001982
While you are contemplating abstracts for #ACSmtg, please consider our Predictive Soil Spectroscopy training workshop (Sunday Oct 29):
https://scisoc.confex.com/scisoc/2023am/meetingapp.cgi/Session/25216
