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
Dear Community, The core team at Soil Spectroscopy for the Global Good initiative has been quietly working away and we’re pleased to share some updates.
After launching two community competitions on predictive soil spectroscopy on Kaggle, we are now pleased to announce the winners based on the results of the
Call all data scientists. We are hosting two Kaggle community competitions using the Open Soil Spectral Library. Please enter and spread the word. 1) Can
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 can upload their soil spectroscopy readings and obtain calibrations 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.
Fantastic free resource from the @FAO Global Soil Partnership led by Alexandre Wadoux et al. - A course on applied data analytics for soil analysis with infrared spectroscopy
https://openknowledge.fao.org/handle/20.500.14283/cd4502en
🟠Day 2 Wrap-Up from the #SoilHealthNow! Conference: A Deep Dive into Europe's Innovation Paradox 🌍💡
🌾During yesterday’s pa…
Remote sensing and environmental covariates improves predictions of soil properties from VNIR spectroscopy alone
https://www.sciencedirect.com/science/article/pii/S0016706125001260
Federated learning applications in soil spectroscopy - learning without having to share data.
https://www.sciencedirect.com/science/article/pii/S0016706125000977
Lots of model exploration here using the LUCAS VNIR library - single property v multi-property deep learning, stacking of preprocessing methods, all with good discussion of model interpretation...
https://www.sciencedirect.com/science/article/pii/S0016706124003562
