Multidisciplinary and Interdisciplinary (M) | ||
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Session Sub-category | Applied Geosciences(AG) | |
Session ID | M-AG33 | |
Title | Satellite Land Physical Processes Monitoring at Medium/High/Very High Resolution | |
Short Title | Satellite Land Processes Monitoring | |
Main Convener | Name | Eric Vermote |
Affiliation | NASA Goddard Space Flight Center | |
Co-Convener 1 | Name | Ferran Gascon |
Affiliation | European Space Agency | |
Session Language |
E |
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Scope |
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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Presentation Format | Oral and Poster presentation | |
Invited Authors |
David Roy (Michigan State University) Tomoaki Miura (Univ Hawaii) |
Time | Presentation No | Title | Presenter |
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Oral Presentation May 29 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 | Wei Li |
16:45 - 17:00 | MAG33-06 | Toward a Consistent Data Records from Coarse, Medium and High Spatial Resolution Earth Observation Satellites | Eric Vermote |
Presentation No | Title | Presenter |
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Poster Presentation May 29 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 | Kenta Taniguchi |
MAG33-P05 | Burned Area Mapping with CubeSat PlanetScope and Active Fire Data from MODIS and VIIRS | HENG LI |
MAG33-P06 | A universal adapter in segmentation models for transferable landslide mapping using Sentinel-2 satellite images | Yamei Li |