Hypertemporal Land Remote Sensing with Third-Generation Geostationary Earth Orbit (GEO) Satellites

Geostationary Earth orbit (GEO) satellites have long been utilized, mainly in the field of atmospheric sciences and especially for meteorological purposes. During the decade starting in 2002, the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) aboard the Meteosat Second Generation (MSG) series of GEO satellites, which differ from typical low Earth orbit (LEO) satellites, demonstrated the potential for land remote sensing using datasets with a “hypertemporal” resolution. The promising results obtained using SEVIRI drove the emergence of “third-generation” GEO sensors characterized by advancements with higher temporal, spatial, and spectral resolutions. Especially over the past seven years, a number of GEO satellites carrying sensors with improved land monitoring capabilities have been launched from several countries. The first of these was Himawari-8 (Japan) launched in 2014, followed in 2016 by INSAT-3DR (India), Himawari-9 (Japan), GEOS-16 (USA), and FY-4 (China). In 2018, two more satellites, GOES-17 (USA) and GEO-KOMPSAT-2A (South Korea), were launched. The deployment of these satellites raises the prospect of a new era of land remote sensing based on hypertemporal datasets from third-generation GEO sensors.

This Special Issue focuses on recent advances in land remote sensing using advanced GEO sensors. It aims to capture the current status of research in this area, covering topics ranging from fundamentals to applications, and to nurture discussions on future prospects in the field of hypertemporal land remote sensing. It welcomes manuscripts that address issues related to broad aspects of terrestrial monitoring from GEO satellites.

Dr. Hiroki Yoshioka
Dr. Tomoaki Miura
Dr. Kazuhito Ichii
Guest Editors

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