Special Issue "Remote Sensing of the Water Cycle"
Deadline for manuscript submissions: 21 April 2021.
Interests: clouds and precipitation structure; passive and active remote sensing of precipitation from satellite; climatology of precipitation
Remote sensing methods, techniques, and models are essential tools for a thorough understanding of Water Cycle mechanisms. The Section “Remote Sensing of the Water Cycle” of the journal Remote Sensing aims at providing a forum for research in this field contributing to advancing science and transferring results and concepts to operational applications.
The water cycle is very complicated in nature since a number of components are involved, such as terrestrial ecosystems both in the plains and mountain regions, rivers, lakes, wetlands, dry areas, forests, polar ice caps, oceans, and glaciers. Mechanisms involve soil–vegetation–atmosphere exchanges through percolation, plant uptake, evapotranspiration, infiltration, runoff, and storage and flow of groundwater. Exchanges of energy, evaporation, and evapotranspiration move enormous quantities of sensible and latent heat and water during the cycle. All this and much more is currently not adequately addressed by observing systems and, consequently, Earth modeling. Research needs to be focused on knowledge gaps also to help to channel existing resources and attract new ones.
Given the global as well as regional character of water cycle processes, remote sensing helps considerably in monitoring the mechanisms of the water cycle and their sudden or long-term changes. Datasets are starting to have the necessary length to explore changes at the monthly, annual, seasonal, interannual, and decadal scales. Long-term monitoring requires that such datasets be maintained and continuously corrected for sensor changes and observation/processing errors.
The Special Issue aims at collecting a series of high-profile Feature Papers that should set the scene for the Section and share actual knowledge of the cycle from a remote sensing perspective. Papers are solicited on (but not limited to) the following topics:
- New satellite missions;
- New observing systems;
- Synergy between satellite and ground based remote sensing sensors;
- Observation of insufficiently quantified components of the water cycle;
- Water cycle of climate hot spots;
- Advances in retrieval algorithms;
- Use of remote sensing data in water cycle and Earth system models;
- The water cycle and its implications for an efficient water management.
Prof. Dr. Vincenzo Levizzani
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 2000 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.
- Water cycle
- Water vapor
- Soil moisture
- Water storage
- Satellite missions