Advanced Hyper-Spectral Imaging, Sounding and Applications from Space

Dear Colleagues,

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:

1. Meteorology and clouds
2. Climate and green-house gases
3. Air quality
4. 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
Guest Editors

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