Special Issue "Uncertainties in Remote Sensing"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (31 October 2016) | Viewed by 70631
Interests: remote sensing; uncertainty and prediction; Bayesian statistical modeling; weather and climate; hydrology
Uncertainty is one of the most common challenges among the diverse areas of remote sensing. Voluminous data are being produced by various remote-sensing applications. However, one needs quantitative uncertainty information associated with the data to extract information and distill knowledge from the data. Uncertainty quantification is also a critical scientific effort for both data producers and end users, as the process will provide revealing error characteristics to guide further improvements in data production and rational use of the data.
Recent years have seen considerable progress in uncertainty-related research in remote sensing. This progress covers theoretical foundations, methodologies, models, techniques, algorithms, tools, and many specific applications. This Special Issue is designed to collect articles from these areas, to reflect the state of the science in quantifying and utilizing uncertainty information in remote sensing. Submissions to address the following, by no means comprehensive, list of topics are welcome:
- Theory of uncertainty in remote sensing
- Bayesian probability theory and its application in uncertainty quantification
- Error modeling and parameter estimation
- Characterization of systematic and random errors and separation of signal and noise
- Uncertainty and decision
- Uncertainty and calibration and validation procedures
- Uncertainty in the remote sensing of extreme events
- Representation of error and uncertainty information in data
- Communication of uncertainty information to users and decision makers
- Assimilating remote sensing data with uncertainty
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 2500 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.
- systematic errors
- random errors
- remote sensing
- error modeling
- data assimilation
- Bayesian statistics
- uncertainty quantification
- signal and noise