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Special Issue "Advanced Hyper-Spectral Imaging, Sounding and Applications from Space"
Deadline for manuscript submissions: 29 February 2020.
Interests: satellite remote sensing of surface and atmospheric parameters; surface change detection; radiative transfer in cloudy and clear atmosphere; Fourier spectroscopy applied to remote sensing of atmosphere; satellite instruments characterization; climate; global warming and change; inverse problems and dimensionality reduction of data space; satellite retrieval of atmospheric constituents and aerosols; greenhouse gases; air quality
Interests: infrared molecular spectroscopy; satellite remote sensing; radiative transfer in the infrared; inverse methods for retrieving greenhouse gas concentrations; Fourier transform spectroscopy; infrared instrumentation
Interests: atmospheric physics; greenhouse gas measurement using satellite sensors; retrieval analysis of atmospheric states; source/sink inversion analysis of greenhouse gases; ground-based remote sensing; Fourier transform spectroscopy
Hyper-spectral imagers and sounders have widespread applications in Earth sciences and have become an indispensable tool for the diagnosis and monitoring of natural and anthropogenic environments or ecosystems.
Although ground monitoring networks have regularly expanded over the last 50 years, allowing an assessment of the Earth’s environment on a global scale, they do not provide the necessary spatial and temporal resolutions for a quantitative analysis of the full atmospheric state and of surface processes.
Satellite missions based on hyper-spectral technology will expand in the next few years and will cover a broad range of applications, from meteorology to precision agriculture. Hyper-spectral instrumentation is expected to improve horizontal and vertical resolutions, as well as time sampling of satellite soundings. However, hyper-spectral sounders are enhancing the problem of the massive size of data to be transmitted, processed and stored. New algorithms are expected to be developed in order to address this big data issue, but the processing and the production of level 1 (spectra) and level 2 (geophysical) products should not occur at the expense of using at best the full information content of high spectral/spatial resolution observations.
In this context, the main goal of the present special issue is to provide an update on present (IASI, AIRS, CrIs, GOSAT, GCOM-C, OCO-2, OMI, FY-3D/HIRAS, FY-4A, TANSAT, MODIS, SEVIRI to name a few), and upcoming satellite missions (e.g., MTG-IRS, IASI-NG, MicroCarb, GeoCARB, Sentinel programs) with an emphasis on hyper-spectral instrumentation, performance characterization, development of algorithms for level 1 and 2 data processing, inter-comparison/validation, and applications in specific fields, such as:
- Meteorology and clouds
- Climate and green-house gases
- Air quality
- Remote sensing of surface properties.
Research papers on these aspects and topics are solicited, which should address the improvements expected from hyper-spectral technologies. Studies dealing with state-of-the-art and new concept methodologies/strategies to fully exploit information content are welcome.
Prof. Carmine Serio
Dr. Claude Camy-Peyret
Prof. Ryoichi Imasu
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. Sensors 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.
- Hyperspectral imaging
- Hyperspectral sounding
- Instrument characterization and calibration
- Radiative transfer
- Forward modelling
- Satellite remote sensing
- Meteorology and cloud physics
- Atmospheric chemistry
- Climate and greenhouse gases
- Air quality
- Surface properties
- Inverse problems in the context of remote sensing
- Dimensionality reduction
- Big data challenge in remote sensing