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 和文 Satellite Land Physical Processes Monitoring at Medium/High/Very High Resolution
英文 Satellite Land Physical Processes Monitoring at Medium/High/Very High Resolution
タイトル短縮名 和文 Satellite Land Processes Monitoring
英文 Satellite Land Processes Monitoring
代表コンビーナ 氏名 和文 Eric Vermote
英文 Eric Vermote
所属 和文 NASA Goddard Space Flight Center
英文 NASA Goddard Space Flight Center
共同コンビーナ 1 氏名 和文 Ferran Gascon
英文 Ferran Gascon
所属 和文 European Space Agency
英文 European Space Agency
発表言語 E
スコープ 和文 
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.
英文 
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.
発表方法 口頭および（または）ポスターセッション
招待講演 David Roy (Michigan State University)
Tomoaki Miura (Univ Hawaii)
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