Special Issue "Drought Monitoring and Forecasting at Regional and Global Scale Using Remote Sensing, Ground Observations and Global Climate Datasets"
Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 9648
Interests: hydrological extremes; drought and vegetation monitoring; watershed management; remote sensing; watershed modeling and climate change
Interests: remote sensing; watershed modeling; climate change impact; sediment dynamics; river basin management
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Special Issue in Remote Sensing: Remote Sensing of Drought Monitoring
Drought has significant impacts on different socioeconomic sectors, including water availability for agriculture, drinking water supply, and the ecosystem in general. It covers a large area without being recognized, and it is often difficult to characterize its onset and offset. Understanding its characteristics through an integrative approach using the available information is paramount for preparedness and planning of water resources, and to develop a robust drought-resilient system. Basically, drought indices are widely applied to monitor drought using station-based hydrometeorological observations and remote sensing products at regional and global spatial scales. Some of the indices use a single input variable to characterize the hidden aspects of drought while other indices use more than one input variable to characterize the complex nature of drought. Recently, the blending of several input variables representing different components of the hydrological cycle (e.g., precipitation, soil moisture, reservoir levels, river flow, groundwater levels) using data mining and other machine learning approaches has also seen increasing application.
The development of a rigorous real-time drought monitoring tool is a foundation for the effort towards developing drought forecasting and early warning systems to mitigate its adverse impacts and avert catastrophe. Climate change and global warming are intensifying the frequency and severity of drought. However, advances in atmospheric sciences have laid a platform for easily accessible future climate projected data that are mainly derived from global circulation models using different boundary conditions. Projected climate data are potential resources in the process of developing a drought forecasting system at different lead times to a certain uncertainty band.
Therefore, this Special Issue has the theme “Drought monitoring and forecasting at regional and global scale using remote sensing, ground observations and global climate datasets”, and we welcome novel research covering drought monitoring, the development of new drought indexes or the improvement of existing indexes, drought forecasting, risk and vulnerability assessment and management, remote sensing and its application for drought monitoring, vegetation and forest drought monitoring, climate projections and application for drought forecasting, the application of machine learning for the development of drought forecasting systems, the application of in situ measurements to validate drought products, and any other drought-related studies.
Dr. Yared Bayissa
Prof. Dr. Assefa M. Melesse
Prof. Dr. Tsegaye Tadesse
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. Water 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 2200 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.
- drought monitoring and forecasting
- drought indices
- vegetation and forest stress
- drought risk assessment and vulnerability
- drought resilience
- remote sensing of drought
- climate change
- moisture stress
- low flows