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
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
Happy World Soils Day! Since the last release of the Open Soil Spectral Library (OSSL), a lot of work has been done behind the scenes
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
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.
Alexandre Wadoux is teaching a three day on-line spectroscopy course. Details:
https://www.prstatistics.com/course/quantitative-analysis-of-infrared-spectroscopy-data-for-soil-and-plant-sciences-spec01/
Interesting approach to harmonizing two VNIR spectral libraries - rescan a small subset using ISS protocol.
https://doi.org/10.1155/2023/4155390 via @Hindawi
The USDA NRCS @NCSS1899 has released a big update to how the NRCS soil characterization database can be accessed. Now including access to MIR spectral data 🙂
https://ncsslabdatamart.sc.egov.usda.gov/
"The results also showed that there was no silver bullet for the optimal variable selection algorithm" - most methods had similar performance to full spectrum https://www.mdpi.com/2067844 #mdpiremotesensing via @RemoteSens_MDPI
Evaluation of Mid-Infrared and X-ray Fluorescence Data Fusion Approaches for Prediction of Soil Properties at the Field Scale https://www.mdpi.com/2055746 #mdpisensors via @Sensors_MDPI
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