Special Issue "Drought Monitoring Using Satellite Remote Sensing"
Deadline for manuscript submissions: 31 December 2021.
Interests: irrigation and drainage engineering; agricultural drought and water resources management; drought monitoring, mitigation, planning, and policy; risk and vulnerability management; remote sensing for drought monitoring and management; soil moisture and hydrologic/watershed modeling; - agrometeorology and climate teleconnections; crop simulation modeling and decision support tools to improve crop management
Special Issues and Collections in MDPI journals
Drought has had large impacts on economies, societies, and the environment, and could become even more disruptive given the context of climate change characterized by increasing temperatures and more variable and extreme precipitation.
Understanding how droughts develop, evolve, and affect us is vital to the preparation and planning for droughts and to mitigating their impacts. Traditionally, climate-based drought indices calculated from station-based meteorological observations (e.g., precipitation and air temperature) have been used to characterize drought conditions throughout the world. Because these indices are based on ground-based point observations, they are typically spatially interpolated using spatial statistical techniques. As a result, traditional climate-based drought index maps often depict broad-scale drought patterns that do not depict local-scale spatial variations in drought conditions.
Satellite remote sensing has provided us with an alternative means of acquiring spatially detailed and more localized information about drought severity patterns because of the spectral observations that are collected across the entire landscape. Drought monitoring using satellite remote sensing can be used by agricultural producers, decision-makers relying on early warning information, policymakers, and other stakeholders to improve management decisions.
This Special Issue will focus on “Drought Monitoring using Satellite Remote Sensing”. We welcome novel research, reviews, and opinion pieces covering all related topics, including drought monitoring, drought planning and policy, drought forecasting, risk and vulnerability management, remote sensing for drought monitoring, soil moisture, vegetation monitoring, evapotranspiration, case-studies from the field, and policy positions.Assist. Prof. Dr. Won-Ho Nam
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 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
- drought planning and policy
- drought forecasting
- risk and vulnerability management
- remote sensing for drought monitoring
- soil moisture
- vegetation monitoring
- NDVI (Normalized Difference Vegetation Index)
- crop yield