領域外・複数領域(M) | |||
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セッション小記号 | 応用地球科学(AG) | ||
セッションID | M-AG38 | ||
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 Physical Processes Monitoring at Medium/High/Very High Resolution | |
英文 | Satellite Land products | ||
代表コンビーナ | 氏名 | 和文 | Jean-Claude Roger |
英文 | Jean-Claude Roger | ||
所属 | 和文 | University of Maryland College Park | |
英文 | University of Maryland College Park | ||
共同コンビーナ 1 | 氏名 | 和文 | Shinichi Sobue |
英文 | Shinichi Sobue | ||
所属 | 和文 | Japan Aerospace Exploration Agency | |
英文 | Japan Aerospace Exploration Agency | ||
共同コンビーナ 2 | 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 | ||
発表言語 | E | ||
スコープ | 和文 | We solicit papers on the land physical processes monitoring. In particular, 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 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 high/medium resolutions; - Use of products in agricultural monitoring applications (such as crop area, crop type, crop growing, yield estimation and prediction, damage assessment); - Agriculture monitoring algorithm description; - Evaluation or validation of potential products with ground measurements, official statistics; - International initiative to enhance Earth-Observing-based agricultural information. Depending on outcome, we think about a special issue. | |
英文 | We solicit papers on the land physical processes monitoring. In particular, 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 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 high/medium resolutions; - Use of products in agricultural monitoring applications (such as crop area, crop type, crop growing, yield estimation and prediction, damage assessment); - Agriculture monitoring algorithm description; - Evaluation or validation of potential products with ground measurements, official statistics; - International initiative to enhance Earth-Observing-based agricultural information. Depending on outcome, we think about a special issue. | ||
発表方法 | 口頭および(または)ポスターセッション |
時間 | 講演番号 | タイトル | 発表者 | 予稿原稿 |
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口頭発表 5月30日 PM1 | ||||
13:50 - 14:05 | MAG38-01 | 15-years of LSA-SAF/Eumetsat satellite-derived albedo products: method for retrieval validation, and recent advances using neural networks during spectral integration | Florian Pinault | 予稿 |
14:05 - 14:20 | MAG38-02 | Toward a Consistent Land Long Term Climate Data Records from Large Field of View Polar Orbiting Earth Observation Satellites | Eric Vermote | 予稿 |
14:20 - 14:35 | MAG38-03 | LaSRC Cloud Detection Algorithm for Landsat 8 and Sentinel-2 Data | Sergii Skakun | 予稿 |
14:35 - 14:50 | MAG38-04 | Aerosol models for the validation of Surface Reflectances for MODIS, VIIRS, Landsat-8, Sentinel-2 from LaSRC | Jean-Claude Roger | 予稿 |
14:50 - 15:05 | MAG38-05 | Quantity and spatial distribution of aboveground biomass carbon in Colombia’s forest | Pedro Rodriguez-Veiga | 予稿 |
口頭発表 5月30日 PM2 | ||||
15:35 - 15:50 | MAG38-06 | Introduction of GCOM-C/SGLI Leaf Area Index & Fraction of Absorbed Photosynthetically Active Radiation products | 小林 利行 | 予稿 |
15:50 - 16:05 | MAG38-07 | 35-years of Land Surface Albedo and 15-years of Down-Welling Short-Wave Radiation Retrievals from Satellites through the EUMETSAT/LSA-SAF and ECMWF/C3S projects | Dominique Carrer | 予稿 |
16:05 - 16:20 | MAG38-08 | Integrating the satellite-based biophysical model and environmental zonation scheme to estimate rice yield gap in Northeast China | Jiahua Zhang | 予稿 |
16:20 - 16:35 | MAG38-09 | Landsat-based Phenological Classification Mapping in Japan | 堤田 成政 | 予稿 |
16:35 - 16:50 | MAG38-10 | Incorporating satellite-retrieved canopy nitrogen content into the biophysical process model for estimating crop yield and N fertilizer recommendation | Jingwen Wang | 予稿 |
講演番号 | タイトル | 発表者 | 予稿原稿 |
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ポスター発表 5月30日 AM2 | |||
MAG38-P01 | Improving the AVHRR LTDR BRDF correction | Jose Luis Villaescusa | 予稿 |
MAG38-P02 | Winter wheat yield model based on remote sensing data | Belen Franch | 予稿 |
MAG38-P03 | Agricultural monitoring from Optical and SAR data | Andrés Eduardo Santamaría-Artigas | 予稿 |
MAG38-P04 | Eco-hydrological modeling using field-based and Earth Observations to assess water use efficiency and support agricultural water resources management | Jean-Claude Roger | 予稿 |
MAG38-P05 | Detecting and quantifying forest dynamics using SAR time-series data in Indonesia | Pedro Rodriguez-Veiga | 予稿 |