日本地球惑星科学連合2025年大会
セッション概要| 領域外・複数領域 (M) | ||||
|---|---|---|---|---|
| セッション小記号 | 応用地球科学 (AG) | |||
| セッション ID | M-AG33 | |||
| タイトル | Satellite Land Physical Processes Monitoring at Medium/High/Very High Resolution | |||
| タイトル短縮名 | Satellite Land Processes Monitoring | |||
| 開催日時 | 口頭セッション | 5/29(木) PM2 |
現地口頭会場 | 101 |
| 現地 ポスター コアタイム |
5/29(木) PM3 | 現地ポスター会場 | 展示場ホール7・8 | |
| 代表コンビーナ | 氏名 | Eric Vermote | ||
| 所属 | NASA Goddard Space Flight Center | |||
| 共同コンビーナ１ | 氏名 | Ferran Gascon | ||
| 所属 | European Space Agency | |||
| セッション言語 | E | |||
| スコープ |
We solicit papers on the land physical processes monitoring. It will include the inversion and use of land products from medium, high, and very high spatial resolution. For the last years, medium, high, and very high resolutions became a useful and a powerful toll for Earth studies. Topics of interest mainly include (not limited to):
- New developments for data processing, including, not only, atmospheric correction and cloud screening,
- Analysis and correction of directional effects in land surface reflectances,
- Use of time series of surface reflectances for land monitoring, including land cover classification and crop yield prediction (including data integration and data harmonization),
- Development and use of new vegetation indices (i.e., red edge) and other products for agriculture applications,
- Theoretical studies for sensors capabilities enhancements to future sensors at very high/high/medium resolutions,
- Validation of Land satellite product,
- Surface reflectance and derived products,
- Agriculture monitoring algorithm description,
- International initiative to enhance Earth-Observing-based land and agricultural information.
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| 発表方法 | 口頭およびポスターセッション | |||
| 共催情報 | 学協会 | - | ||
| ジョイント | - | |||
| 団体会員以外の組織との共催 | - | |||
| 国際連携団体 | - | |||
| 招待講演 |
David Roy（Michigan State University） Tomoaki Miura（Univ Hawaii） |
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| 時間 | 講演番号 | タイトル | 発表者 |
|---|---|---|---|
| 口頭発表 5月29日 PM2 | |||
| 15:30 - 15:45 | MAG33-01 | Globally applicable high resolution burned area mapping by deep learning PlanetScope image pairs | David Roy |
| 15:45 - 16:00 | MAG33-02 | Tropical Urban Plant Phenology Monitoring with Near-Surface Remote Sensing | Tomoaki Miura |
| 16:00 - 16:15 | MAG33-03 | A Novel Harmonization Method for PlanetScope Constellation Imagery Leveraging a Graph-based Greedy Optimization Strategy | Wei Yang |
| 16:15 - 16:30 | MAG33-04 | An Automated Camera System for Surface Reflectance Validation | Andrés Eduardo Santamaría-Artigas |
| 16:30 - 16:45 | MAG33-05 | High-Temporal-Resolution Land Surface Reflectance Retrieval from Himawari-8/9 AHI | 李 偉 |
| 16:45 - 17:00 | MAG33-06 | Toward a Consistent Data Records from Coarse, Medium and High Spatial Resolution Earth Observation Satellites | Eric Vermote |
| 講演番号 | タイトル | 発表者 |
|---|---|---|
| ポスター発表 5月29日 PM3 | ||
| MAG33-P01 | Utilizing Time-Series Satellite Imagery for Monitoring SDG 15.3.1 on Land Degradation Indicator: A Case Study in Taiwan | Tee-Ann Teo |
| MAG33-P02 | A global Swin-Unet Sentinel-2 surface reflectance-based cloud and cloud shadow detection algorithm for the NASA Harmonized Landsat Sentinel-2 (HLS) dataset | Haiyan Huang |
| MAG33-P03 | Application of Semi-Physical Models for Corn and Soybean Yield Estimation in Illinois, USA | Vishal Gautam |
| MAG33-P04 | An application of soil isoline equations in red–NIR reflectance space to analyze seasonality from Sentinel-2 images over Nobi Plain, Japan | 谷口 健太 |
| MAG33-P05 | Burned Area Mapping with CubeSat PlanetScope and Active Fire Data from MODIS and VIIRS | 李 恒 |
| MAG33-P06 | A universal adapter in segmentation models for transferable landslide mapping using Sentinel-2 satellite images | Yamei Li |