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
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 applied online platform for soil properties estimation using spectroscopy has been developed by the Department of Soil Science, University of Sao Paulo, Brazil. The
Dear all, Please join us for our inaugural soil spectroscopy webinar featuring Dr. Alexandre Wadoux from the University of Sydney, Australia (Tuesday, April 27 2021, 7 pm
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
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 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 spectroscopy is a rapidly growing field of research used to measure soil properties and generate #soildata.
Check out this new report which summarizes the global soil #spectroscopy community's needs for standardization: https://www.isric.org/news/new-report-available-global-soil-spectroscopy-community-needs #soilscience
"already high accuracies obtained with MIR data... left little space for further improvement when using combined spectra"
https://www.sciencedirect.com/science/article/pii/S0016706121005061
Wavelet geographically weighted regression for spectroscopic modelling of soil properties by @raphvr's group http://disq.us/t/40pvc0z
More deep learning methods applied to the LUCAS VNIR database...
https://www.sciencedirect.com/science/article/pii/S0045653521023614
