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Eyes on Earth is a podcast on remote sensing, Earth observation, land change and science, brought to you by the USGS Earth Resources Observation and Science (EROS) Center. In this episode, we learn about the effort to map disturbances in Florida from Hurricane Ian in near real time.
Summary: When disaster strikes, near-real-time images of its effects can be invaluable. In this episode, we learn about how a newly developed system using the Harmonized Landsat Sentinel-2 dataset and artificial intelligence was put to the test when Hurricane Ian tore through Florida in late September 2022. By comparing pre-storm and post-storm imagery, the system quickly flagged anomalies statewide such as brightness, which could indicate exposed sand or bare land after a hurricane. Harmonized Landsat Sentinel-2 data is available through the Land Processes Distributed Active Archive Center, or LP DAAC for short, located at EROS, which is also home to the entire Landsat archive.
Guest: Zhe Zhu, University of Connecticut’s Global Environmental Remote Sensing Laboratory and Landsat Science Team
Eyes on Earth is a podcast on remote sensing, Earth observation, land change and science, brought to you by the USGS Earth Resources Observation and Science (EROS) Center. In this episode, we learn about the effort to map disturbances in Florida from Hurricane Ian in near real time.
Summary: When disaster strikes, near-real-time images of its effects can be invaluable. In this episode, we learn about how a newly developed system using the Harmonized Landsat Sentinel-2 dataset and artificial intelligence was put to the test when Hurricane Ian tore through Florida in late September 2022. By comparing pre-storm and post-storm imagery, the system quickly flagged anomalies statewide such as brightness, which could indicate exposed sand or bare land after a hurricane. Harmonized Landsat Sentinel-2 data is available through the Land Processes Distributed Active Archive Center, or LP DAAC for short, located at EROS, which is also home to the entire Landsat archive.
Guest: Zhe Zhu, University of Connecticut’s Global Environmental Remote Sensing Laboratory and Landsat Science Team