Multi-Source Remote Sensing Data in Hydrology and Water Management
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".
Deadline for manuscript submissions: 30 June 2024 | Viewed by 376
Special Issue Editors
Interests: remote sensing; limnology; GIS
Interests: remote sensing; glaciology; nivology; GIS
Interests: terrestrial hydrology; remote sensing; GIS
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Multi-source and multi-temporal remote sensing data refer to the combination of data from different remote sensing platforms and sensors, such as satellites, aircrafts, and ground-based instruments. This integration of data from multiple sources can provide a more comprehensive and accurate view of the Earth's surface, and it is increasingly being used in hydrology and water management.
The use of multi-source remote sensing data in hydrology and water management offers several advantages, including improved accuracy, increased spatial and temporal resolution and coverage, improved data quality and accuracy, increased cost-effectiveness, and broader and cost-effective access to stakeholders.
The aim of this Special Issue is to advance the field of land surface hydrology and water resource management by providing valuable information on key water-related states and fluxes. The results provided by remote sensing applications inform decisions regarding water resource management, and enable the development of effective water management strategies.
Remote sensing applications are targeted in areas such as flood and drought monitoring, water quality monitoring, snow and ice cover monitoring, limnology, land use and land cover change, and have a significant impact on water resources. Remotely sensed data also help to test and validate hydrologic and biogeochemical cycling models, which can greatly aid decision-making in water management.
Paper topics may include, but are not limited to, the following:
- Integration of multi-source remote sensing data for improved hydrologic modeling and forecasting;
- Using the potential of remote sensing for mapping and monitoring surface water bodies;
- Using the potential of remote sensing for mapping and monitoring snow and ice;
- Remote sensing for monitoring and assessing drought and water scarcity;
- Using multi-source remote sensing data to improve flood risk assessment and management;
- Application of remote sensing in support of water quality monitoring and management;
- Application of remotely sensed data to test and validate hydrological and other biophysical models.
Dr. Mircea Alexe
Dr. Iulian-Horia Holobâcă
Dr. Noel Aloysius
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
- multi-source and multi-temporal remote sensing data
- terrestrial hydrology
- water management
- hydrologic modeling and forecasting
- cryosphere
- supporting decision-making in water management
- flood
- drought and water scarcity
