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Geo for Good 2022: Exploring the global Landsat archive with CCDC
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This session will introduce a global CCDC dataset that captures the rich information contained in three decades of Landsat observations. Participants will learn to interpret and interact with the outputs of the CCDC algorithm. No prior knowledge is needed, but familiarity with Landsat observations and harmonic regression is useful.
Speakers:
Paulo Arévalo, Department of Earth and Environment at Boston University
Noel Gorelick, Google
You can also view this video and slides on the Geo for Good Summit website at
Speakers:
Paulo Arévalo, Department of Earth and Environment at Boston University
Noel Gorelick, Google
You can also view this video and slides on the Geo for Good Summit website at
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