Eyes on Earth Episode 123 – Bathymetry Mapping
A satellite system designed to image land is helping fill in data gaps of underwater topography near shorelines.
Summary: This episode is the third in our series on using Landsat for coastal studies. We talk to physical geographer Jeff Danielson about bathymetry and how it is critical for coastal modeling. Bathymetry captures the shape of underwater topography, and satellite-derived bathymetry helps fill in areas where there are data gaps. Even though Landsat was designed to image land, it’s a big part of this work because of its systematic temporal coverage. Besides that, high-resolution data from sonar and lidar are too labor-intensive to collect everywhere. Therefore, they use all these sources together to get a better picture of bathymetry, especially in remote areas. This modeling helps with studying changes to shorelines such as storm surge, sediment transport, and flood damage.
Guest: Jeff Danielson, USGS EROS
Host: Tom Adamson, contractor for USGS EROS
Producer: Tom Adamson, contractor for USGS EROS
Release date: Thursday, September 12, 2024
Download and Transcript Access
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Eyes on Earth Episode 121 – Mapping the Australia Coastline
This episode of Eyes on Earth is the second in a series about how Landsat is helping researchers study coastal changes. The first one was about mapping changes to beaches in California and using Landsat to create models to predict how the coastline may change in the future because of sea level rise and coastal erosion.
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Eyes on Earth Episode 120 – Mapping the California Coastline
In this episode of Eyes on Earth, we begin a series on Landsat’s usefulness in coastal studies. First, we talk with Sean Vitousek, a USGS research oceanographer, about changes to beaches in California and how he is using Landsat and other data to create models that can predict how the coastline may change in the future because of sea level rise and coastal erosion.
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A satellite system designed to image land is helping fill in data gaps of underwater topography near shorelines.
Summary: This episode is the third in our series on using Landsat for coastal studies. We talk to physical geographer Jeff Danielson about bathymetry and how it is critical for coastal modeling. Bathymetry captures the shape of underwater topography, and satellite-derived bathymetry helps fill in areas where there are data gaps. Even though Landsat was designed to image land, it’s a big part of this work because of its systematic temporal coverage. Besides that, high-resolution data from sonar and lidar are too labor-intensive to collect everywhere. Therefore, they use all these sources together to get a better picture of bathymetry, especially in remote areas. This modeling helps with studying changes to shorelines such as storm surge, sediment transport, and flood damage.
Guest: Jeff Danielson, USGS EROS
Host: Tom Adamson, contractor for USGS EROS
Producer: Tom Adamson, contractor for USGS EROS
Release date: Thursday, September 12, 2024
Download and Transcript Access
Related Episodes
-
-
Eyes on Earth Episode 121 – Mapping the Australia Coastline
This episode of Eyes on Earth is the second in a series about how Landsat is helping researchers study coastal changes. The first one was about mapping changes to beaches in California and using Landsat to create models to predict how the coastline may change in the future because of sea level rise and coastal erosion.
-
Eyes on Earth Episode 120 – Mapping the California Coastline
In this episode of Eyes on Earth, we begin a series on Landsat’s usefulness in coastal studies. First, we talk with Sean Vitousek, a USGS research oceanographer, about changes to beaches in California and how he is using Landsat and other data to create models that can predict how the coastline may change in the future because of sea level rise and coastal erosion.
-
Eyes on Earth Episode 25 - Rising Seas
Sea levels are rising globally. In some places, it is rising more than others, threatening communities and people as storm surges reach further inland and inundate more land.
-