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Aqua Data Access and Tools
Data collected by NASA’s Aqua satellite are integral for efforts to characterize the Earth's water cycle. Explore Aqua datasets and learn more about relevant data tools.
Table of contents
Datasets
| Dataset Sort descending | Instruments | Temporal Extent | Version | Data State | Data Format | Related Topics |
|---|---|---|---|---|---|---|
| Combined ASTER and MODIS Emissivity database over Land (CAMEL) Uncertainty Monthly Global 0.05Deg V003 | ASTER, MODIS | 2000-03-01 to 2024-01-01 | 003 | COMPLETE | netCDF-4 | Emissivity, Vegetation Index, Snow Cover, Land Surface Temperature |
| Distribution of Young Forests and Estimated Stand Age across Russia, 2012 | MODIS, ETM+, TM | 2012-01-01 to 2012-12-31 | 1 | COMPLETE | GeoTIFF | Forest Composition/Vegetation Structure, Forests, Afforestation/Reforestation |
| EPIC-view satellite composites for DSCOVR, Version 1 | MODIS, GOES N-P Imager, MVIRI, MTSAT 2 Imager, AVHRR, EPIC | 2015-06-12 to 2017-12-31 | 01 | COMPLETE | NetCDF-4 | Atmospheric Radiation, Clouds, Cloud Optical Depth/Thickness, Cloud Height, Cloud Properties |
| Fast Longwave And SHortwave Fluxes (FLASHflux) Clouds and Radiative Swath (SSF) Aqua-FM3-MODIS data in HDF Version 4A | CERES-FM3 | 2018-12-15 to 2023-04-01 | Version4A | ACTIVE | HDF4 | Atmospheric Radiation, Clouds, Cloud Properties, Cloud Radiative Transfer |
| Fire Intensity and Burn Severity Metrics for Circumpolar Boreal Forests, 2001-2013 | Computer, MODIS | 2001-01-01 to 2013-12-31 | 1 | COMPLETE | GeoTIFF | Fire Dynamics, Normalized Difference Vegetation Index (NDVI), Albedo, Forests, Burned Area |
| FLASHFlux Daily Gridded Single Satellite TOA and Surfaces/Clouds data in HDF Version 4A | CERES-FM1, CERES-FM3 | 2018-12-01 to 2023-02-28 | Version4A | ACTIVE | HDF4, netCDF-4 | Albedo, Cloud Base Height, Cloud Properties, Radiative Flux, Cloud Base Pressure |
| GEO-LEO Merged Deep Blue Aerosol 0.25x0.25 degree Gridded L2 | ABI, AHI, MODIS, VIIRS | 2019-05-01 to 2020-05-01 | 1 | ACTIVE | NetCDF-4 | Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosols, Aerosol Particle Properties |
| GEO-LEO Merged Deep Blue Aerosol Daily 1 x 1 degree Gridded L3 | ABI, AHI, MODIS, VIIRS | 2019-05-01 to 2020-05-01 | 1 | ACTIVE | NetCDF-4 | Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosols, Aerosol Particle Properties |
| GEO-LEO Merged Deep Blue Aerosol Monthly 1 x 1 degree Gridded L3 | ABI, AHI, MODIS, VIIRS | 2019-05-01 to 2020-05-01 | 1 | ACTIVE | NetCDF-4 | Aerosol Optical Depth/Thickness, Angstrom Exponent, Aerosols, Aerosol Particle Properties |
| GHRSST Level 2P Global Sea Surface Skin Temperature from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the NASA Aqua satellite (GDS2) | MODIS | 2002-07-04 | 2019.0 | ACTIVE | netCDF-4 | Sea Surface Temperature |
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Aqua Data Tools
| Tool Sort descending | Description | Services | |
|---|---|---|---|
| FIRMS | The Fire Information for Resource Management System (FIRMS) provides access to satellite imagery, active fire/hotspots, and related products to identify the location, extent, and intensity of wildfire activity. | Access, Visualization | |
| FLOOD | The FLOOD viewer facilitates the use and evaluation of LANCE flood products by allowing the user to browse globally and over time, and to compare to other flood products. | Monitoring Natural Events, Search and Discovery, Visualization | |
| LDOPE | Access a range of software tools designed to manipulate, visualize, and analyze MODIS and VIIRS data. | Analysis, Visualization | |
| Similarity Search | Similarity Search uses machine learning to make it easier for scientists to comb through millions of images and locate sets of similar examples. | Analysis, Search and Discovery, Visualization | |
| TESViS | The Terrestrial Ecology Subsetting & Visualization Services Global Subsets Tool provides on-demand, customized subsets of several terrestrial ecology data products. | Visualization, Subsetting | |
| Worldview | Worldview offers the capability to interactively browse over 1,200 global, full-resolution satellite imagery layers and download the underlying data. | Analysis, Search and Discovery, Visualization, Access, Comparison, Monitoring Natural Events |
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Frequently Asked Questions
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