GIS and Remote Sensing in Soil Mapping and Modeling
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing for Geospatial Science".
Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 20622
Special Issue Editors
Interests: GIS and remote sensing; environmental science; soil science; precision agriculture; smart irrigation
Special Issues, Collections and Topics in MDPI journals
Interests: crop mapping; soil mapping; Google Earth Engine; remote sensing; agriculture
Special Issues, Collections and Topics in MDPI journals
Interests: satellite image analysis; satellite image processing; radar remote sensing; soil moisture
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing in ecology and hydrology; microwave remote sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Soil is one of the most important natural resources on our planet and is essential for sustainable agriculture and food production. However, mapping and modeling soil properties across large areas can be a challenging task due to the complex nature of soil variability. Therefore, the use of advanced GIS and remote sensing technologies can greatly aid in soil mapping and modeling.
We encourage submissions that highlight the use of cutting-edge GIS and remote sensing technologies, as well as those that address the practical applications of soil mapping and modeling in real-world scenarios. Overall, this Special Issue will provide a platform for researchers and practitioners to share their knowledge and experiences in the field of soil mapping and modeling, and contribute to the advancement of this important area of research. This Special Issue invites original research articles, reviews, and case studies on the following topics:
- Remote sensing data for soil mapping and modeling;
- GIS-based soil mapping and modeling;
- Machine learning and artificial intelligence for soil mapping and modeling;
- Spatial and temporal analysis of soil properties;
- Integration of soil data with other environmental data;
- Uncertainty and error analysis in soil mapping and modeling;
- Applications of soil mapping and modeling in agriculture, forestry, and land-use planning.
Dr. Xiaoling Wu
Dr. Chong Luo
Dr. Liujun Zhu
Dr. Xiaoji Shen
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 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 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.
Keywords
- GIS
- remote sensing
- soil science
- soil moisture
- spatial modeling
- climate change
- precision agriculture
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