Sustainable Environmental Analysis of Soil and Water
Deadline for manuscript submissions: 1 May 2024 | Viewed by 2902
Interests: soil physics; digital soil mapping; soil moisture; remote sensing
Interests: soil physics; vadose zone hydrology; precision agriculture; proximal soil sensing; digital soil mapping; soil spatial variability
Special Issues, Collections and Topics in MDPI journals
The increase in human activities in the world is a serious threat to maintaining the health and stability of various components of the environment, including soil and water. Soil and water are two crucial materials for the continuation of life on Earth, so it is necessary to focus effort and attention on preserving these valuable resources. To protect soil and water and support sustainable development, soil/water maps that provide the larger community of soil and water users access to the related knowledge and data flows they need are essential. In recent years, thanks to the huge advances in different soil and water data-collection methods—including the development of satellite and proximal sensors, and data-analysis methods based on artificial intelligence algorithms, machine learning and deep learning—the field of understanding the different dimensions of soil and water and providing a solution to maintain their stability has been developed. Accurately mapping the spatial and temporal distribution of the static and dynamic parameters of soil and water at different scales based on new technologies is of great importance in maintaining the sustainability of the environment, agriculture, food security, climate, natural resources, etc., which can improve the quality of life of all living beings.
The goal of this Special Issue is to identify ways to better manage and use natural resources (soil and water). To this end, our objective is to determine how we can gather various information to generate precise and accurate data of soil and water without damaging them, in order to achieve sustainability.
This Special Issue invites research and review articles, including new and creative ideas in the fields of:
- Smart soil and water data management.
- Conservation of soil and water resources.
- Sustainability of agricultural and urban soils.
- Digital soil mapping.
- Remote sensing in soil and water studies.
- Spatial and temporal changes of soil and water properties.
- Soil and water erosion.
- Soil moisture retrieval.
- Modeling and management of soil and water pollution.
- Land use/cover mapping.
Dr. Solmaz Fathololoumi
Dr. Asim Biswas
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. Sustainability 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 2400 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.
- soil water
- sustainability agricultural
- erosion environment
- remote sensing