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Increasing LSPIV performances by exploiting the seeding distribution index
10 May 2021
UAS-based Environmental Monitoring: Improving data collection through a standardised workflow
21 May 2021
This Special Issue is dedicated to machine learning-based methods in:
•proximal and digital global mapping of soil properties (e.g., basic, hydraulic, thermal, functional, ecosystem services);
•computing systems/algorithms/approaches using Earth observation data to derive global gridded soil datasets;
•preprocessing Earth observation data to feed into global soil mapping;
•data-intensive computing methods for incorporating Earth observation data for predictive soil mapping;
•optimizing temporal resolution to globally track the changes of soil properties;
•uncertainty assessment of the derived gridded soil information;
•other related topics.
A 40% discount can be granted to papers received from this conference/project on the basis that the manuscript is accepted for publication following the peer review process.
Attachments
| # | File | Description | Date added | Added by | File size | Downloads |
|---|---|---|---|---|---|---|
| 1 |
RS slide for Global Gridded Soil Information
|
14 May 2021 10:43 | Salvatore Manfreda | 1 MB | 318 |
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