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.
Soil VNIR spectroscopy with the Gaussian pyramid scale space -- looks like an elegant way to extract useful information while reducing computational demand -- by T Behrens @raphvr @rlleonardo @PhilippBauman15
https://www.sciencedirect.com/science/article/pii/S0016706122004025
A fully funded graduate research assistantship (GRA) is available starting from Spring, 2023. The project focuses on plant spectroscopic sensing. Please email nuwanw@abe.msstate.edu with a CV to apply.
"Uncertainty should accompany the prediction and be propagated when the prediction is being used in downstream applications." YES.
Our latest publication with @spadarian Assessing the uncertainty of deep-learning soil spectral models using Monte Carlo dropout .. Free access until end of September 🍾📶🤷♀️
https://authors.elsevier.com/a/1fWWv3p6oTxJw
Nice spectroscopy job opportunity at @JamesHuttonInst
https://hutton.current-vacancies.com/Jobs/Advert/2770389?cid=2065
