5:15 PM - 6:45 PM
[M-AG33] Satellite Land Physical Processes Monitoring at Medium/High/Very High Resolution
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, 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.
- 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.