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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

Special Issue on RS entitled Global Gridded Soil Information Based on Machine Learning

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.

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Attachments

# File Description Date added Added by File size Downloads
1 pptx RS slide for Global Gridded Soil Information 14 May 2021 10:43 Salvatore Manfreda 1 MB 37
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