Remote Sensing Based Quantification of Soil Properties

Dear Colleagues,

Many human interests, such as food production and water quality, are fundamentally connected to soils. However, soil properties are neither static nor homogeneous in space and time. Consequently, there is a strong demand for up-to-date soil information. Acquiring spatial soil variability is often time- and cost-intensive when performed analytically in the laboratory. This is especially true for large-scale applications with a high number of soil samples. By contrast, some applications, e.g., precision farming, require the identification of even short- or medium-term changes in the nutrient status of the soils. Therefore, remote sensing has become the most powerful tool for soil property assessment. Data can be collected from the ground, aerial platforms or satellites. UAVs offer the opportunity to acquire data with high spatial resolution and flexibility. From a methodical perspective, deep learning and artificial intelligence (AI) provide new and very promising conceptual approaches for the analysis of remote sensing data. In the context of soil property assessment from remote sensing data, more research is required to apply these modern methods to this relevant topic.

Thus, we would like to invite you to share your research and to participate in the submission of articles for this Special Issue with respect to the following topics, related to remote-sensing-based soil properties quantification:

• Prediction of soil properties from different platforms;
• Deep learning approaches for quantification of soil properties;
• Quantification of soil properties for the assessment of soil condition status;
• Scaling issues on RS data from lab/in situ to airborne/spaceborne;
• Multisensoral approaches for quantification of soil properties.

Dr. Thomas Jarmer
Dr. Anna Brook
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.