Item 2 : Results of the Spectral Soil Data - Needs and capacities questionnaires
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The document discusses incorporating soil spectral data into GLOSIS, the Global Soil Information System. It proposes that data owners would keep their own databases but link them to a network through GLOSIS. This network would provide tools, training, and help improve national and local soil information systems. GLOSIS would adhere to common reference data and lab practices from GLOSOLAN. The system would facilitate quality control and standardization to enable high quality spectral predictions and national reporting. The document asks questions to labs about their current spectral measurement capabilities and interests, and how networks could help them start or improve these measurements.
Item 2 : Results of the Spectral Soil Data - Needs and capacities questionnaires
- 1. Item2: Results of the Spectral Soil Data: Needs and Capacities Questionnaire Fenny van Egmond ISRIC – World Soil Information
- 5. The Global Soil Information System (GLOSIS) and Soil Spectral Data • We propose to incorporate soil spectral data in GLOSIS, the Global Soil Information System, which is currently being built in Pillar 4 of the Global Soil Partnership. GLOSIS will be a federated system. • Data owners will keep their own database (and therefore control) but will be able to link to a network of databases. • The network will provide tools and training and thereby help improve the data owner’s national, local, or lab soil information system. • GLOSIS will adhere to GLOSOLAN results and common lab practices for reference data. • The system will facilitate quality control and a standardised data structure that enables plug-ins for high quality spectral predictions and for national reporting.
- 8. What soil properties are you (most) interested in at your lab?
- 9. What soil properties are you (most) interested in at your lab?
- 11. Not yet performing spectral measurements
- 12. How can GLOSOLAN or your Regional Soil Laboratory Network help you to start these measurements?
- 13. How can GLOSOLAN or your Regional Soil Laboratory Network help you to start these measurements?
- 14. Do you have potential clients in your country for spectral derived soil data, and what is their objective?
- 16. Which instrument do you use to measure spectral properties of soil (brand and type)?
- 17. What spectral region do you measure?
- 18. What spectral region do you measure?
- 24. How can GLOSOLAN or your local Regional Soil Laboratory Network help you? • Is there anything else regarding measuring spectra in the lab that is not addressed yet and you would like to share with us? To be analysed
- 26. Other questions on data provisioning • In what way would you like the data to be provisioned? For example, by a query-based web portal or a webservice (OGC wfs, website); by downloading in zip format; or other? • In which format(s) would you like spectral data to be provisioned? For example, flat table (csv, ASCII, RData), instrument-generated file types (OPUS, etc.), *.spc files, database, etc. • Do you model in open source (R, etc.) or in proprietary software? Which modelling program(s) do you use? • What soil properties/characteristics are of interest to you? Please provide an exhaustive list with prioritisation.
- 32. Other questions on data provisioning • What special requests do you have to make a platform more suitable for your purposes (for example visualisation, querying functionality, etc.)? • Are you willing to test a beta web-based platform when the time comes? • Do you have suggestions for handling calibration transfer (between different optical benches/manufacturers)? Please describe. • What metadata would you want to store or receive with soil spectral data?
- 33. What do you have to offer:
- 34. Join GLOSOLAN
- 36. Thanks for your attention The pictures in the covers and background of this presentation are a courtesy of Dr. Fenny van Egmond, ISCRI