JpGU Meeting 2019
Session outline| Multidisciplinary and Interdisciplinary (M) | ||
|---|---|---|
| Session Sub-category | Applied Geosciences(AG) | |
| Session ID | M-AG38 | |
| Title | Satellite Land Physical Processes Monitoring at Medium/High/Very High Resolution | |
| Short Title | Satellite Land products | |
| Main Convener | Name | Jean-Claude Roger |
| Affiliation | University of Maryland College Park | |
| Co-Convener 1 | Name | Shinichi Sobue |
| Affiliation | Japan Aerospace Exploration Agency | |
| Co-Convener 2 | Name | Eric Vermote |
| Affiliation | NASA Goddard Space Flight Center | |
| Session Language | E | |
| Scope | 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. | |
| Presentation Format | Oral and Poster presentation | |
| Time | Presentation No | Title | Presenter | Abstract |
|---|---|---|---|---|
| Oral Presentation May 30 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 | |
| 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 | |
| 14:20 - 14:35 | MAG38-03 | LaSRC Cloud Detection Algorithm for Landsat 8 and Sentinel-2 Data | Sergii Skakun | |
| 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 | |
| 14:50 - 15:05 | MAG38-05 | Quantity and spatial distribution of aboveground biomass carbon in Colombia’s forest | Pedro Rodriguez-Veiga | |
| Oral Presentation May 30 PM2 | ||||
| 15:35 - 15:50 | MAG38-06 | Introduction of GCOM-C/SGLI Leaf Area Index & Fraction of Absorbed Photosynthetically Active Radiation products | Toshiyuki Kobayashi | |
| 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 | |
| 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 | |
| 16:20 - 16:35 | MAG38-09 | Landsat-based Phenological Classification Mapping in Japan | Narumasa Tsutsumida | |
| 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 | |
| Presentation No | Title | Presenter | Abstract |
|---|---|---|---|
| Poster Presentation May 30 AM2 | |||
| MAG38-P01 | Improving the AVHRR LTDR BRDF correction | Jose Luis Villaescusa | |
| MAG38-P02 | Winter wheat yield model based on remote sensing data | Belen Franch | |
| MAG38-P03 | Agricultural monitoring from Optical and SAR data | Andrés Eduardo Santamaría-Artigas | |
| 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 | |
| MAG38-P05 | Detecting and quantifying forest dynamics using SAR time-series data in Indonesia | Pedro Rodriguez-Veiga | |