Advances in Calibration, Validation, and Quality Assurance for Optical Remote Sensors
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Satellite Missions for Earth and Planetary Exploration".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 16
Special Issue Editors
Interests: polarization detection techniques; satellite remote sensing; Cal/Val; uncertainty analysis; data preprocessing; data quality assurance
Special Issue Information
Dear Colleagues,
Optical remote sensing has become crucial in monitoring the earth’s environment, supporting applications that range from climate change assessment to disaster management. However, the accuracy and reliability of these observations hinge on robust calibration, validation (Cal/Val), and quality assurance (QA) processes. For optical remote sensors deployed on ground-based, airborne, and spaceborne platforms, challenges regarding the radiometric, spectral, geometric and polarimetric accuracy and quality of the data persist. In particular, the development of emerging technologies in optical remote sensing, along with multi-source data fusion and the growing demand for quantitative remote sensing, have further amplified the need for innovation in Cal/Val and QA methodologies to enhance the accuracy and quality of cross-sensor and long-term time-series remote sensing data. This Special Issue aims to consolidate the latest advancements in these areas, promoting technical developments that enhance the trustworthiness of optical remote sensing data and supporting precision measurement and quantitative remote sensing applications.
This Special Issue aligns with Remote Sensing’s mission to publish high-impact research on sensor technologies, data processing, and Earth observation applications. We welcome contributions that advance calibration, validation, and QA frameworks for optical sensors, with a focus on enhancing the accuracy, interoperability, and traceability data to fulfil international standards.
Themes:
- Ground-, airborne-, and spaceborne optical sensor calibration challenges and solutions.
- Radiometric, polarimetric, spectral and geometric calibration innovations.
- On-orbit validation methods for satellite optical remote sensors.
- Calibration uncertainty assessment and sensitivity analysis.
- Remote sensing data quality assurance and quality check (QA/QC) methods and workflows.
We welcome the submission of original research articles, reviews, technical notes, and methodological papers, in addition to short communications on novel tools or datasets.
Dr. Zhenhai Liu
Prof. Dr. Gennadi Milinevsky
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
- optical remote sensing
- radiometric calibration
- polarimetric calibration
- spectral calibration
- geometric calibration
- vicarious calibration
- cross-calibration
- uncertainty analysis
- validation
- data quality assurance
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