Eyes on Earth Episode 38 – Time Series Analysis with Landsat

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Sources/Usage: Public Domain. View Media Details

Summary: In the past, remote sensing scientists looked for change on the Earth’s surface primarily by comparing one Landsat image to another. Today, open access to Landsat data, high-performance and cloud computing capabilities and sophisticated algorithms can be used to scan the entirety of the archive for change, enabling researchers to learn more about how the landscape shifts over time. On this episode of Eyes on Earth, Landsat Science Team member Dr. Curtis Woodcock shares his thoughts on time series analysis, the future of remote sensing and his hopes for the Landsat program.

Guest:  Dr. Curtis Woodcock, Boston University

Host: Steve Young

Producer: John Hult

Release date: November 16, 2020

More on the Curtis Woodcock and Time Series Analysis: 

• GLanCE: Global Land Cover mapping and Estimation
• Dr. Curtis Woodcock – Boston University Staff Profile
• USGS Land Change Monitoring, Assessment and Projection (LCMAP)
• Landsat Analysis Ready Data