Special Issue "Estimation and Mapping of Soil Properties Based on Multi-Source Data Fusion"
Deadline for manuscript submissions: closed (30 September 2020).
Interests: proximal soil sensing; precision agriculture; soil analysis, data fusion
Special Issues and Collections in MDPI journals
Interests: soil sensing; data fusion; soil spectroscopy; digital soil mapping; pedometrics
Recent advances in remote and proximal sensing technologies are valuable for enriching our geo-datasets of soil properties, which are necessary for soil management and the precision application of farming input resources. This is because of the advantages of these modern technologies that provide a high sampling density enabling the exploration of the spatial variability of soil characteristics with high resolution and are fast and cost-effective compared to the traditional laboratory analysis methods. However, soils are complex, and measurements of key soil properties or processes in soils might not be achievable by the use of a single sensor. This necessitates new approaches that present innovative solutions beyond the single-sensor approach and can be implemented in situ in either stationary or on-line measurement modes. In the last few years, several studies on multi-sensor and data fusion approaches have been reported in the literature, although this research area is still at its early stages of development. The integration of different data—multi-source data fusion—has greatly benefited many applications that require more extensive temporal and spatial information than that contained in any individual dataset provided by a single sensor. At the same time, the major progresses that have been made in different aspects of digital soil mapping (DSM) make DSM increasingly mature and operable than ever before. The integration of multi-sensor source data fusion with the DSM technique will provide a better understanding of soil processes and enable a more accurate estimation of soil properties at various spatial and temporal scales. It will also provide new insights into processes occurring in soils and sources of variabilities linked to soil dynamics in different scenarios of land management practices, environmental pollution, and climate change.
In this Special Issue, we are seeking original scientific contributions on new methods for the estimation and mapping of biological, physical, and chemical soil properties based on multi-source spatio-temporal data fusion techniques. The Special Issue is open to all scientists working in related fields, and submissions relevant to the topics listed below are welcome:
- Proximal soil sensing for the measurement and spatial modelling of soil properties (e.g., fertility, physical, chemical, contaminants)
- Remote sensing for the measurement and spatial modelling of soil properties (e.g., fertility, physical, chemical, contaminants)
- Modelling approaches for deriving new indices to estimate soil properties and/or soil processes
- The potential of multi-sensor techniques for deriving information on soils including decision-support tools
- Data-fusion approaches applied to proximal and remote sensing of soils
- Estimating and mapping soil-related yield limiting factors, including yield prediction
- The use of proximal and remote sensing in precision agriculture
- Measurement and mapping of soil contaminations including heavy metals and hydrocarbon contaminations.
Prof. Dr. Abdul M. Mouazen
Prof. Dr. Zhou Shi
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 papers will be 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 100 words) can be sent to the Editorial Office for announcement on this website.
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 2200 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.
- Proximal soil sensing
- Remote sensing
- Soil property
- Sensor fusion
- Data fusion
- Digital soil mapping