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Coastal Processes Data Access and Tools
From discovery to visualization, data tools such as Earthdata Search, Worldview, and Vertex guide users in making the most of coastal processes data.
Coastal Processes Datasets
| Dataset Sort descending | Version | Platform | Instrument | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| Delta-X: Matlab Model for Wax Lake Delta Land Accretion | 1 | MODELS | Computer | 2021-03-20 to 2021-08-27 |
N: 29.59 S: 29.39 E: -91.33 W: -91.58 |
ZIP | |
| Delta-X: Modeled Land Accretion Rate Maps, Wax Lake Delta, MRD, LA, USA, 2021 | 1 | COMPUTERS | Computer | 2021-03-20 to 2021-08-27 |
N: 29.595 S: 29.3892 E: -91.3286 W: -91.5784 |
netCDF-4 classic | |
| Delta-X: NUMAR Predictive Model for Marsh Accretion Rates and Chemical Properties | 1 | COMPUTERS | Computer | 2020-01-01 to 2022-12-31 |
N: 29.76 S: 28.72 E: -90.19 W: -91.86 |
multiple | |
| Delta-X: NUMAR Soil Accretion Modeled to 2100, MRD, Louisiana, USA | 1 | COMPUTERS | Computer | 2021-01-01 to 2100-12-31 |
N: 29.7003 S: 29.0794 E: -90.4117 W: -91.54 |
multiple | |
| Delta-X: Sediment Core Grain Size Distribution, Wax Lake Delta, MRD, LA | 1 | FIELD SURVEYS, LABORATORY | SEDIMENT CORERS, LLS | 2021-03-26 to 2021-08-24 |
N: 29.5092 S: 29.4823 E: -91.4404 W: -91.4462 |
CSV | |
| Delta-X: Soil Accretion Rates from Cs-137 Activity and NUMAR Validation, MRD, LA | 1 | MODELS, FIELD SURVEYS, LABORATORY | Computer, SEDIMENT CORERS, HPGE | 2021-09-22 to 2023-04-23 |
N: 29.5643 S: 29.1714 E: -90.8225 W: -91.4417 |
CSV | |
| Delta-X: UAVSAR L2 Interferometric Products, MRD, Louisiana, 2021 | 1.1 | G-III | UAVSAR | 2021-03-27 to 2021-09-13 |
N: 29.7799 S: 29.0133 E: -90.1333 W: -91.5893 |
ENVI | |
| Digital Elevation Models for the Global Change Research Wetland, Maryland, USA, 2016 | 1 | Airplane, FIELD SURVEYS, COASTAL STATIONS, MODELS | LIDAR, VISUAL OBSERVATIONS, GPS RECEIVERS, TIDE GAUGES, Computer | 2016-06-22 to 2016-08-15 |
N: 38.8789 S: 38.8717 E: -76.5427 W: -76.5525 |
multiple | |
| Global Mangrove Forests Distribution, 2000 | 1.0 | LANDSAT-5 | TM | 2000-01-01 to 2000-12-31 |
N: 90 S: -90 E: 180 W: -180 |
30 Decimal Degrees x 30 Decimal Degrees | GeoTIFF, Grid, PDF, PNG, WMS |
| Global Mangrove Loss Extent, Land Cover Change, and Loss Drivers, 2000-2016 | 1 | LANDSAT-7, LANDSAT-8, COMPUTERS, LANDSAT-5 | ETM+, OLI, Computer, TM | 2000-01-01 to 2016-12-31 |
N: 27.0432 S: -58.4496 E: 164.691 W: -94.5607 |
multiple | |
| Gross Primary Production Maps of Tidal Wetlands across Conterminous USA, 2000-2019 | 1 | Terra, MODELS | MODIS, Computer | 2000-03-05 to 2019-11-17 |
N: 47.6967 S: 23.5017 E: -65.9019 W: -128.026 |
GeoTIFF | |
| KMZ for ALOS PALSAR Radiometric Terrain Corrected Product | 1 | ALOS | PALSAR | 2006-03-23 to 2011-04-22 |
N: 90 S: -90 E: 180 W: -180 |
||
| Mangrove Extent Baseline from Landsat MSS, 1972-1977 | 1 | LANDSAT-1, LANDSAT-2, COMPUTERS | MSS_RS, Computer | 1972-01-01 to 1977-12-31 |
N: 24.0136 S: 5.63464 E: 107.495 W: 89.7142 |
multiple | |
| Mean Annual Fluxes of Carbon in Coastal Ecosystems of Eastern North America | 1 | MODELS | Computer | 1976-01-01 to 2017-12-31 |
N: 45 S: 25 E: -65 W: -85 |
CSV | |
| Ocean Surface pCO2 and Air-Sea CO2 Flux in the Northern Gulf of America, 2006-2010 | 1 | Aqua | MODIS | 2006-01-01 to 2011-01-01 |
N: 32 S: 25 E: -86 W: -96 |
netCDF-4 classic | |
| OPERA Coregistered Single-Look Complex from Sentinel-1 Static Layers validated product (Version 1) | 1 | Sentinel-1A, Sentinel-1B | C-SAR | 2014-04-03 to Present | HDF5, XML | ||
| OPERA Coregistered Single-Look Complex from Sentinel-1 validated product (Version 1) | 1 | Sentinel-1A, Sentinel-1B, Sentinel-1C | C-SAR | 2016-07-01 to Present | HDF5, XML | ||
| OPERA Radiometric Terrain Corrected SAR Backscatter from Sentinel-1 Static Layers validated product (Version 1) | 1 | Sentinel-1A, Sentinel-1B | C-SAR | 2014-04-03 to Present |
N: 90 S: -90 E: 180 W: -180 |
GeoTIFF, XML | |
| OPERA Radiometric Terrain Corrected SAR Backscatter from Sentinel-1 validated product (Version 1) | 1 | Sentinel-1A, Sentinel-1B, Sentinel-1C | C-SAR | 2016-04-14 to Present |
N: 90 S: -60 E: 180 W: -180 |
HDF5, GeoTIFF, XML | |
| Pre-Delta-X: L1 UAVSAR Single Look Complex and Interferograms, MRD, LA, USA, 2016 | 1 | UAV | UAVSAR | 2016-10-16 to 2016-10-17 |
N: 29.7582 S: 29.3562 E: -91.0577 W: -91.622 |
multiple | |
| Pre-Delta-X: Water Levels across Wax Lake Outlet, Atchafalaya Basin, LA, USA, 2016 | 1 | COMPUTERS, FIELD SURVEYS | Computer, PRESSURE TRANSDUCERS, BAROMETERS | 2016-10-13 to 2016-10-20 |
N: 29.7429 S: 29.5057 E: -91.3573 W: -91.446 |
CSV | |
| RADARSAT-1 Level 0 Product | 1 | RADARSAT-1 | SAR | 1996-02-01 to 2009-03-17 |
N: 90 S: -90 E: 180 W: -180 |
||
| RADARSAT-1 Level 1 Product | 1 | RADARSAT-1 | SAR | 1996-02-01 to 2009-03-17 |
N: 90 S: -90 E: 180 W: -180 |
||
| Relative Tidal Marsh Elevation Maps with Uncertainty for Conterminous USA, 2010 | 1 | MODELS | Computer | 1983-01-01 to 2010-12-31 |
N: 48.2708 S: 20.5669 E: -56.8541 W: -134.672 |
GeoTIFF | |
| Resilience of Coastal Wetlands to Sea Level Rise, CONUS, 1996-2100 | 1 | MODELS | Computer | 1996-01-01 to 2100-12-31 |
N: 49.2069 S: 22.7276 E: -64.9678 W: -127.984 |
multiple |
Featured Coastal Landforms Observation Method: NISAR
Launching in 2025, the joint NASA/ISRO (Indian Space Research Organization) Synthetic Aperture Radar (NISAR) platform will create global maps to provide a better understanding of changes in Earth’s ecosystems, ice mass, vegetation biomass, sea level rise, ground water, and natural hazards.
The upcoming NISAR satellite mission is expected to add as much as 85 TB of data each day to the EOSDIS archive. The commercial cloud is being explored as a way to archive and disseminate this extremely high volume of data efficiently.
7 MIN READ
The NASA/Indian Space Research Organization (ISRO) SAR (NISAR) project team has created sample products using JAXA ALOS-1 PALSAR data as a surrogate for NISAR.
This video features Day 1 of the NISAR ISRO Community Workshop held on Aug. 3, 2023. It includes an introduction to SAR, Vertex, InSAR, and HyP3.
Explore 25 tutorials that demonstrate how to use NISAR sample data in a GIS environment; using Panoply; and transforming the data using GDAL commands.
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