JpGU Meeting 2025
Session Outline| Atmospheric and Hydrospheric Sciences (A) | ||||
|---|---|---|---|---|
| Session Sub-category | Complex & General (CG) | |||
| Session ID | A-CG44 | |||
| Session Title | Terrestrial monitoring using geostationary satellites | |||
| Short Title | Terrestrial monitoring by GEO satellites | |||
| Date & Time | Oral Session |
AM1-AM2 Wed, 28 MAY | ||
| On-site Poster Coretime |
PM3 Wed. 28 MAY | |||
| Main Convener | Name | Yuhei Yamamoto | ||
| Affiliation | Center for Environmental Remote Sensing, Chiba University | |||
| Co-Convener 1 | Name | Tomoaki Miura | ||
| Affiliation | Univ Hawaii | |||
| Co-Convener 2 | Name | Kazuhito Ichii | ||
| Affiliation | Chiba University | |||
| Session Language | E | |||
| Scope (Session Description) |
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. |
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| Session Format | Orals and Posters session | |||
| Co-sponsorship | Partner Union(s) | - | ||
| JpGU Society Member(s) | The Remote Sensing of Society Japan | |||
| International Collaborative Society | - | |||
| Organizations Other Than JpGU Society Members | - | |||
| Time | Presentation No | Title | Presenter |
|---|---|---|---|
| Oral Presentation May 28 AM1 | |||
| 9:15 - 9:30 | ACG44-01 | An Open Dataset for Hypertemporal Land Surface Monitoring via Geostationary Meteorological Satellites and Its Applications | Kazuhito Ichii |
| 9:30 - 9:45 | ACG44-02 | High-Temporal-Resolution Land Surface Albedo Estimation Using Himawari-8/9 AHI: Evaluation with In-Situ and MODIS Observations | Wei Li |
| 9:45 - 10:00 | ACG44-03 | A Hyper-temporal Monitoring of Terrestrial Evapotranspiration Using Himawari-8 Satellite | Beichen Zhang |
| 10:00 - 10:15 | ACG44-04 | Geostationary-Satellite-Based Study of Diurnal Variation in Aerosol-Cloud Interactions | Hengqi Wang |
| Oral Presentation May 28 AM2 | |||
| 10:45 - 11:00 | ACG44-05 | Advancing Geostationary Satellite Data Integration: Spectral Band Adjustment Using Hyperspectral Observations and Radiative Transfer Modeling | Taiga Sasagawa |
| 11:00 - 11:15 | ACG44-06 | Development of a rice crop calendar estimation algorithm from Himawari satellite imagery | Kazuya Nishina |
| 11:15 - 11:30 | ACG44-07 | Exploring the optimal geometry of Himawari-8/9 to monitor vegetation dynamics across Southeast Asia | Misaki Hase |
| 11:30 - 11:45 | ACG44-08 | Reduction of Snow Contamination in Himawari-8/-9 AHI NDVI for Improved Phenology Monitoring | Tomoaki Miura |
| 11:45 - 12:00 | ACG44-09 | Post-Typhoon Extreme Heat Events: Land Surface Temperature Variability and Urban Land Use Influences | Yuhei Yamamoto |
| Presentation No | Title | Presenter |
|---|---|---|
| Poster Presentation May 28 PM3 | ||
| ACG44-P01 | Monitoring and Analysis of Atmospheric Gravity Wave Horizontal Propagation Using Thermal Satellite Imagery from Himawari-8/9 | Thanaphat Lertmongkhon |
| ACG44-P02 | Determining Vegetation Critical Temperature Thresholds in Australia Using Himawari-8/9 LST data | Reo Shibayama |
| ACG44-P03 | Retrieval of the Vegetation Clumping Index (CI) from Geostationary Satellite Observations Using an Improved BRDF Model | ZHI QIAO |
| ACG44-P04 | Spatiotemporal variability of land surface temperature in Southeast Asia’s Megacities using geostationary satellites, Himawari-8/9 | Soma Yamasaki |
| ACG44-P05 | Investigation of surface changes in Tsambagarav National Park using summer Landsat normalized difference spectral indices | Mei Matsubara |
| ACG44-P06 | A new vegetation monitoring method using geostationary satellite data based on a kernel-driven BRDF model | Yueru Wen |