Special Issue "First Experiences with European Sentinel-2 Multi-Spectral Imager (MSI)"
Deadline for manuscript submissions: closed (31 August 2016).
Interests: remote sensing of vegetation with focus on time series analysis and use of physically based radiative transfer models for mapping biochemical and biophysical traits
Special Issues and Collections in MDPI journals
Special Issue in Remote Sensing: Opportunities and Challenges for Medium Resolution (hecta- to kilometric) Earth Observation of Land Surfaces in the Advent of European Proba-V and Sentinel-3 Missions
Special Issue in Remote Sensing: Monitoring Agricultural Land-Use Change and Land-Use Intensity
Special Issue in Remote Sensing: Estimation of Crop Phenotyping Traits using Unmanned Ground Vehicle and Unmanned Aerial Vehicle Imagery
Topical Collection in Remote Sensing: Sentinel-2: Science and Applications
Special Issue in Remote Sensing: Earth Observation for Index Insurance
Special Issue in Remote Sensing: Remote Sensing for Water Resources Assessment and Monitoring in Agriculture
Special Issue in Remote Sensing: Novel Approaches for Mapping and Monitoring of Vegetation Properties from Earth Observation (EO) Data in an Agricultural Context
Special Issue in Remote Sensing: Mapping Tree Species Diversity
Sentinel-2A was launched on 23 June 2015 as part of the European Commission’s Copernicus program. The satellite delivers high resolution (deca-metric) images since end of June 2015. The data is of a high quality, as Sentinel-2 carries an innovative wide swath high-resolution multispectral imager (MSI) with 13 spectral bands, thus, permitting for an unprecedented perspective on our land and vegetation. The combination of high resolution (up to 10 m), novel spectral capabilities (e.g., three bands in the red-edge), wide coverage (swath width of 290 km) and 10-day revisit time (five days from 2016 onwards after launch of Sentinel-2B) will provide extremely useful information for a wide range of applications. The mission will, for example, provide information for agricultural and forestry practices and the monitoring of natural resources and disturbances. The spectral bands are particularly suitable for assessing important vegetation structural and bio-chemical variables. As well as monitoring plant growth and vegetation status/health, Sentinel-2 can also be used to map changes in land cover and land use. It will also provide information on the status of lakes and coastal waters, snow, and ice. Images of floods, volcanic eruptions and landslides are expected to contribute to disaster mapping and help humanitarian relief efforts.
We would like to invite you to submit articles about your recent research with respect to the following topics, possibly including a comparison with other (optical) sensors data (e.g., Landsat)—Obviously, review articles covering one or more of these topics are also very welcome:
- Mission status and planned/operational products
- Calibration and validation activities of Sentinel-2 (e.g., regarding radiometry, geometry) and instrument characteristics
- Status of collaborative ground segements (CGS)
- Radiometric and atmospheric correction of Sentinel-2 data
- Data inter-calibration and creation of long consistent time series (e.g., combination with Landsat)
- Combined use of Sentinel-2 data and other sensor data (e.g., LIDAR, microwaves, thermal scanners) and fusion approaches
- Suitability of Sentinel-2 data for agricultural applications (e.g., mapping of crop types, acreages, yield predictions, precision agriculture)
- Suitability of Sentinel-2 for LCLU mapping and LC change detection (object- and pixel-based approaches)
- Suitability of Sentinel-2 for assessing vegetation dynamics and disturbances
- Suitability of Sentinel-2 for forestry applications at local, regional, national and continental scales
- Suitability of Sentinel-2 for the assessment and monitoring of vegetation structure (e.g., LAI, fAPAR, fCover, biomass) and vegetation bio-chemical composition (e.g., pigmentation, leaf water content)
- Assimilation of Sentinel-2 data in dynamic process models
- Suitability of Sentinel-2 for monitoring and mapping inland and coastal waters
- Suitability of Sentinel-2 for assessment and protection of natural resources
- Suitability of Sentinel-2 for habitat mapping, bio-diversity assessments
- Suitability of Sentinel-2 for urban studies
- Suitability of Sentinel-2 for geology and soil sciences
- Suitability of Sentinel-2 for studies on snow, ice and glaciers
- Suitability of Sentinel-2 for geohazards and disaster monitoring
- Tools, toolboxes and algorithms for analysing Sentinel-2 data
Prof. Clement Atzberger
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 2000 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.