Statistical and Remote Sensing Tool in Soil Modelling and Monitoring
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: closed (20 July 2022) | Viewed by 279
Special Issue Editors
Interests: remote sensing; albedo; surface temperature
Special Issues, Collections and Topics in MDPI journals
Interests: point cloud processing; machine learning; spatial statistics
Special Issues, Collections and Topics in MDPI journals
Interests: earth and planetary sciences; quantitative geomorphology; soil modelling; spatial statistics; spectroscopy; remote sensing; GIS
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue welcomes contributions that focus on the application of geostatistical and other mathematical tools such as matching learning and neuronal networks to describe and predict spatial variation and perform spatial interpolation of soil data. Special attention will be paid to novel technologies for measuring soil properties, such as spectroscopy and proximal and remote sensing systems to map and monitor the soil, and GIS and LiDAR technology to include digital elevation models in soil modeling.
The following are examples of suitable topics: soil data modeling, soil GIS for the computation of algebraic functions using (semi)variograms to quantify the spatial variation of a regionalized variable, digital soil mapping, application of soil information in specific sectors (e.g., agriculture, natural resource management, soil degradation, climate change mitigation, frozen soil monitoring (permafrost), or archaeology exploration).
Manuscripts may consider the collection of baseline soil data or more advanced models of soil properties.
Dr. Javier Fernández Calleja
Prof. Dr. Celestino Ordóñez Galán
Prof. Dr. Susana del Carmen Fernández Menedez
Guest Editors
Manuscript Submission Information
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