Advances in the Remote Sensing of Terrestrial Evaporation
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (31 December 2018) | Viewed by 87739
Special Issue Editors
Interests: hydrology; precision agriculture; remote sensing; UAVs; CubeSats
Special Issues, Collections and Topics in MDPI journals
Interests: dynamics of the global water cycle; impact of climate change on hydrology; use of satellite-based evaporation to identify land–atmospheric feedbacks; characterization of evaporation at the regional scales; hydrological and climatic extremes; impact of hydro-climatic anomalies on vegetation; study of ocean–atmospheric oscillations and their impact on terrestrial hydrology
Special Issues, Collections and Topics in MDPI journals
Interests: evapotranspiration; vegetation; carbon cycle; remote sensing
Special Issue Information
Dear Colleagues,
Our capacity to understand and describe the terrestrial carbon, water and energy cycles is strongly dependent on our ability to accurately reproduce the spatial and temporal dynamics of land surface evaporation. Characterizing terrestrial evaporation across multiple scales has been the focus of major research efforts for many decades, especially through the application of remote sensing approaches. Advances in Earth observation technologies, as well as the exploitation of new retrieval and sensing techniques, are providing deeper insights into this critical process.
In this Special Issue, we seek to explore such technological and methodological advances, to provide an overview of the state-of-the-art in estimating evaporation, and also a perspective on outstanding challenges and issues in describing this process. Submissions relevant to this issue might include efforts related, but not limited to, aspects such as:
- multi-scale/multi-sensor retrieval or fusion efforts
- new process descriptions, from leaf to canopy scale
- innovative approaches towards evaluation and assessment
- improvements in the partitioning of terrestrial evaporation
- the application of UAVs and Cubesats for high-spatial and temporal retrieval
- the development of techniques, such as fluorescence and thermal approaches
For this particular Special Issue, we are not soliciting papers that undertake limited scale intercomparison exercises or minor iterations on modeling approaches. Contributions that move beyond our current knowledge by examining new and emerging estimation techniques, as well as those that expand upon current approaches, are particularly encouraged.
We look forward to showcasing your research in this exciting Special Issue.
Prof. Matthew McCabeProf. Dr. Diego Miralles
Dr. Joshua Fisher
Dr. Thomas Holmes
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
- Evaporation
- Remote Sensing
- Earth Observation
- Novel Sensing Platforms
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