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Coastal Landforms Data Access and Tools
From discovery to visualization, data tools such as Earthdata Search, Worldview, and Giovanni guide users in making the most of coastal landform data.
Featured Coastal Landforms Observation Method: ICESat-2
NASA's Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) carries a photon-counting laser altimeter that allows scientists to measure the elevation of ice sheets, glaciers, sea ice, and more in unprecedented detail. Measuring elevation data along coastlines helps scientists learn more about coastal landforms.
This Satellite Needs Working Group solution provides reduced-latency versions of existing Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) Advanced Topographic Laser Altimeter System (ATLAS) products.
During this webinar we will introduce the ICESat-2 mission and show you how to explore, access and customize ICESat-2 data with the advanced discovery and visualization OpenAltimetry application, directly filter and access ICESat-2 data from an NSIDC DAAC data set page and subset, reformat and analyze ICESat-2 data using Python-based resources.
This is the first in a four-part webinar series to introduce NASA's Ice, Cloud, and land Elevation-2 (ICESat-2) platform and the platform's data, tools, and applications.
This ACCESS 2015 project focused on OpenAltimetry, a cloud-ready web-based application for discovery, access, and visualization of ICESat and ICESat-2 data.
Coastal Landforms Datasets
| Dataset | Platforms | Instruments | Temporal Extent | Location Keywords | Spatial Extent | Data Format |
|---|---|---|---|---|---|---|
| ERS-2 Level 1 Product | ERS-2 | SAR | 1995-10-01 to 2011-07-04 | N: 90 S: -90 E: 180 W: -180 | ||
| Global Salt Marsh Change, 2000-2019 | LANDSAT-5, LANDSAT-7, LANDSAT-8 | ETM+, OLI | 2000-01-01 to 2019-12-31 | GLOBAL LAND | N: 74 S: -47 E: 180 W: -170 | COG |
| Green Vegetation Fraction High-Resolution Maps for Selected US Tidal Marshes, 2015 | Airplane, LANDSAT | CAMERA, ETM+ | 2013-09-25 to 2015-08-27 | N: 47.121 S: 25.0847 E: -69.9266 W: -122.746 | GeoTIFF | |
| JERS-1 Level 0 Product | JERS-1 | SAR | 1992-05-20 to 1998-10-11 | N: 90 S: -90 E: 180 W: -180 | ||
| JERS-1 Level 1 Product | JERS-1 | SAR | 1992-05-20 to 1998-10-11 | N: 90 S: -90 E: 180 W: -180 | ||
| Mean Annual Fluxes of Carbon in Coastal Ecosystems of Eastern North America | MODELS | Computer | 1976-01-01 to 2017-12-31 | N: 45 S: 25 E: -65 W: -85 | CSV | |
| Pre-Delta-X: Channel Bathymetry of the Atchafalaya Basin, LA, USA, 2016 | FIELD SURVEYS | SONAR | 2016-10-16 to 2016-10-20 | LOUISIANA | N: 29.958 S: 28.9777 E: -90.3594 W: -91.9078 | multiple |
| Pre-Delta-X: L1 UAVSAR Single Look Complex and Interferograms, MRD, LA, USA, 2016 | UAV | UAVSAR | 2016-10-16 to 2016-10-17 | LOUISIANA | N: 29.7582 S: 29.3562 E: -91.0577 W: -91.622 | multiple |
| Pre-Delta-X: River Discharge Channel Surveys across Atchafalaya Basin, LA, USA, 2016 | FIELD SURVEYS | ADCP | 2016-10-15 to 2016-10-20 | LOUISIANA | N: 29.7422 S: 29.4432 E: -91.2124 W: -91.437 | CSV |
| Pre-Delta-X: Spectral Reflectance of Water Surface, Atchafalaya Basin, LA, USA, 2016 | ZODIACS | Field Spectroradiometer | 2016-10-14 to 2016-10-21 | LOUISIANA | N: 29.744 S: 29.4168 E: -90.9964 W: -91.4859 | CSV |
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