Special Issue "Advanced Modelling in Water Resources Using GIS and Remote Sensing Techniques"
Deadline for manuscript submissions: 31 December 2021.
Interests: land use and cover; 3D mapping; image classification; predicting; climate change; SWAT model; GIS applications; surface temperature
Interests: droughts and water availability; hydrologic modeling; water resources management; trends; wavelet transform; TRMM products
Special Issues and Collections in MDPI journals
Interests: evapotranspiration estimation; aquifer recharge; recharge estimation; SEBAL; MODIS; hydrodynamic characterization
Remote sensing data play an important role in the hydrological scientific community, mainly for overcoming and compensating for the limitations of observed data at regional and global scales. Currently, remotely-sensed data are being used in many applications related to water resources, such as rainfall, soil moisture, evapotranspiration, drought risk, water runoff-erosion modelling, groundwater, landslide, surface water inventory, and snowmelt runoff forecasts. The research in water resources using remotely-sensed data also has a great deal of relevance for studies related to climate change and global habitability. In this Special Issue, advanced techniques for estimation and modelling using GIS and remote sensing data in water resources will be presented.
Priority studies about novel techniques for quantifying and analyzing spatial distributions with the use of new products obtained by remote sensing or automated techniques, to improve the spatial knowledge of phenomena related to the hydrological cycle, are welcome. Combining geographical data from multiple spatial, spectral and thematic scales to quantify changes and their spatial patterns are also among our priorities. Issues related to spatial error distributions, as well as the detection of false changes through time, are of particular interest.
Papers showing novel and/or relevant techniques to study water resources management or some interesting applications in all subfields of the hydrological sciences will be considered. Well-prepared review papers are also welcomed.
Topics of interest may include, but are not limited to:
- Droughts and Water availability
- Evapotranspiration estimation and Hydrologic modeling
- Land use predicting
- Snow cover and glacial lands
- Water resources management
- Groundwater mapping
- 3D mapping, Drone and high resolution images
- Classifications and applications using Drone images
Dr. Richarde Marques da Silva
Dr. Celso Augusto Guimarães Santos
Dr. Victor Hugo Coelho Rabelo
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 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.
- land use and cover
- 3D mapping
- climate change
- surface temperature
- hydrologic modeling