With the launch of third-generation geostationary satellites, such as Himawari-8/9, the GOES-R series, Meteosat Third Generation (MTG), Fengyun-4, and GeoKompsat-2A, Earth observation has entered a new phase. These satellites carry advanced sensors with spectral bands suitable for terrestrial monitoring, similar to those on polar-orbiting satellites. They enable high-frequency (e.g., 10-minute) monitoring of key land parameters, including land surface temperature/albedo, vegetation indices, evapotranspiration, and photosynthetic activity. Combining data from these geostationary satellites with data from polar-orbiting satellite sensors like Terra/Aqua MODIS, Suomi NPP/NOAA-20 VIIRS, and GCOM-C SGLI makes global, consistent land monitoring possible.
This session invites presentations on methods for estimating land surface parameters using these geostationary and polar-orbiting satellites, as well as efforts in inter-calibration and cross-validation using GEO and LEO data. We welcome studies on in-situ validation efforts and new applications of these datasets for monitoring and understanding various phenomena, such as heatwaves, drought, and long-term climate change impacts. Additionally, studies on atmospheric factors, such as cloud cover and aerosols, and their influence on land surface conditions are also highly encouraged.

With the launch of third-generation geostationary satellites, such as Himawari-8/9, the GOES-R series, Meteosat Third Generation (MTG), Fengyun-4, and GeoKompsat-2A, Earth observation has entered a new phase. These satellites carry advanced sensors with spectral bands suitable for terrestrial monitoring, similar to those on polar-orbiting satellites. They enable high-frequency (e.g., 10-minute) monitoring of key land parameters, including land surface temperature/albedo, vegetation indices, evapotranspiration, and photosynthetic activity. Combining data from these geostationary satellites with data from polar-orbiting satellite sensors like Terra/Aqua MODIS, Suomi NPP/NOAA-20 VIIRS, and GCOM-C SGLI makes global, consistent land monitoring possible.
This session invites presentations on methods for estimating land surface parameters using these geostationary and polar-orbiting satellites, as well as efforts in inter-calibration and cross-validation using GEO and LEO data. We welcome studies on in-situ validation efforts and new applications of these datasets for monitoring and understanding various phenomena, such as heatwaves, drought, and long-term climate change impacts. Additionally, studies on atmospheric factors, such as cloud cover and aerosols, and their influence on land surface conditions are also highly encouraged.