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Sentinel-2 MSI Data Access and Tools

Data collected by NASA’s Multispectral Instrument are integral for efforts to monitor vegetation, soil, and water cover and observe inland waterways and coastal areas, among other investigations. Explore MSI datasets and learn more about relevant data tools.

Datasets

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Dataset Temporal Extent Version Data State Processing Level Data Format Science Keywords
OPERA Land Surface Disturbance Annual from Harmonized Landsat Sentinel-2 product (Version 1) 2023-01-01 to Present 1 ACTIVE 3 COG Land Use/Land Cover, MECHANICAL DISTURBANCE, DISTURBANCE
Phenology derived from Satellite Data and PhenoCam across CONUS and Alaska, 2019-2020 2019-01-01 to 2020-12-31 1 COMPLETE 3 multiple Plant Phenology, Plant Phenological Changes
Select Northern Hemisphere Glacier Velocity Maps Using Customized autoRIFT and PlanetScope Imagery V001 2021-01-19 to 2022-11-27 1 COMPLETE 3 GeoTIFF, Shapefile, CSV Ice Velocity
Vegetation Height in High Latitude Forests from ICESat-2 and HLS, 2020 2020-01-01 to 2020-12-31 1 COMPLETE 3 COG Vegetation Cover, Vegetation Height, Forests, Vegetation Index
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Sentinel-2 MSI Data Tools

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Tool Description Services
CyFi Explorer CyFi Explorer enables users to view corresponding Sentinel-2 satellite imagery for each cyanobacteria estimate, and estimate cyanobacteria density. Analysis, Search and Discovery, Visualization
RTC Stack Processor The radiometric terrain correction (RTC) stack processor tool facilitates time-series analysis of such phenomena as flooding events, deforestation, or glacier retreat. Analysis, Processing, Search and Discovery, Visualization
STREAM STREAM is a rapid water quality monitoring tool that processes satellite imagery to create maps showing chlorophyll-a, Total Suspended Solids, and water clarity at 20-30 meter resolution. Processing
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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