SAR Processing and Data Analysis

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Talk, Tutorial Description

This presentation is part of a four-part series on the basics on Synthetic Aperture Radar.

Learning Objectives:

  • Understand Sentinel Data
  • Perform image preprocessing
  • Analyze SAR imagery to classify land and water
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Dr. Erika Podest is a scientist with the Carbon Cycle and Ecosystems Group at NASA’s Jet Propulsion Laboratory. Her research focuses on using Earth observing satellites, particularly microwave sensors, for characterizing and monitoring wetland ecosystems and seasonal freeze/thaw dynamics in the northern high latitudes as related to the global carbon and water cycles and climate change. She is working on the Soil Moisture Active Passive (SMAP) mission, a NASA Earth observing satellite that launched on Jan. 31 2015, which is improving our understanding of Earth’s water and carbon cycles and our ability to manage water resources. (Source: NASA ARSET)

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The SAR-EDU material is published under a Creative Commons Licence. This work is licenced under a Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0).

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UNDER THE FOLLOWING TERMS:
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Download Resource

The SAR-EDU material is published under a Creative Commons Licence. This work is licenced under a Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0).

YOU ARE FREE TO:
Share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and built upon the material for any purpose, even commercially.

UNDER THE FOLLOWING TERMS:
Attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. ShareAlike – If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. The licensor cannot revoke these freedoms as long as you follow the license terms!

Download Resource

The SAR-EDU material is published under a Creative Commons Licence. This work is licenced under a Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0).

YOU ARE FREE TO:
Share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and built upon the material for any purpose, even commercially.

UNDER THE FOLLOWING TERMS:
Attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. ShareAlike – If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. The licensor cannot revoke these freedoms as long as you follow the license terms!