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OLI Data Access and Tools
Data collected by NASA’s Operational Land Imager (OLI) are integral for providing sufficient resolution to distinguish features like urban centers, farms, and forests, among other investigations. Explore OLI datasets and learn more about relevant data tools.
Table of contents
OLI Data Tools
Tool Sort descending | Description | Services | |
---|---|---|---|
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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Datasets
Dataset | Temporal Extent | Spatial Extent | Version | Data State | Processing Level | Data Format | Related Topics |
---|---|---|---|---|---|---|---|
Lake Bathymetry Maps derived from Landsat and Random Forest Modeling, North Slope, AK | 2016-07-01 to 2018-08-31 | N: 77.2626 S: 56.0894 E: -128.196 W: -177.469 | 1 | COMPLETE | 3 | COG | Water Depth |
Deciduous Fractional Cover and Tree Canopy Cover for Boreal North America, 1992-2015 | 1992-01-01 to 2015-12-31 | N: 80.25 S: 39.9997 E: -49.9998 W: -179.94 | 1 | COMPLETE | 3 | COG | Forests, Canopy Characteristics, Deciduous Vegetation |
Phenology derived from Satellite Data and PhenoCam across CONUS and Alaska, 2019-2020 | 2019-01-01 to 2020-12-31 | N: 63.9265 S: 27.1314 E: -68.6772 W: -145.854 | 1 | COMPLETE | 3 | multiple | Plant Phenology, Plant Phenological Changes |
Tree Cover Estimates at 30 m Resolution for Mexico, 2016-2018 | 2016-01-01 to 2018-12-31 | N: 32.7192 S: 14.5333 E: -86.7008 W: -118.404 | 1 | COMPLETE | 3 | COG | Forests, Canopy Characteristics, Vegetation Cover |
Landsat-Derived Global Rainfed and Irrigated-Cropland Product 30 m V001 | 2014-01-01 to 2017-12-31 | N: 90 S: -90 E: 180 W: -180 | 001 | COMPLETE | 3 | GeoTIFF | Crop/Plant Yields, Landscape Patterns, Cropland |
Global Salt Marsh Change, 2000-2019 | 2000-01-01 to 2019-12-31 | N: 74 S: -47 E: 180 W: -170 | 1 | COMPLETE | 3 | COG | Salt Marsh, Coastal, Salt Marsh |
ABoVE: Tree Canopy Cover and Stand Age from Landsat, Boreal Forest Biome, 1984-2020 | 1984-01-01 to 2020-12-31 | N: 73 S: 45 E: 180 W: -180 | 1 | COMPLETE | 4 | COG | Vegetation Cover, Forests, Canopy Characteristics |
Global Land Cover Mapping and Estimation Yearly 30 m V001 | 2001-07-01 to 2019-07-01 | N: 90 S: -90 E: 180 W: -180 | 001 | COMPLETE | 3 | GeoTIFF | Land Surface/Agriculture Indicators, ENVIRONMENTAL VULNERABILITY INDEX (EVI), Plant Phenology, Vegetation Cover |
ABoVE: Burned Area, Depth, and Combustion for Alaska and Canada, 2001-2019 | 2001-01-01 to 2019-12-31 | N: 72.9491 S: 42.885 E: -48.7792 W: -167.959 | 1 | COMPLETE | 4 | COG | Fire Occurrence, Emissions, Forests, Carbon, Burned Area |
ABoVE: Landsat Vegetation Greenness Trends, Boreal Forest Biome, 1985-2019 | 1985-01-01 to 2019-12-31 | N: 72 S: 45 E: 180 W: -180 | 1 | COMPLETE | 3 | multiple | Forests, Plant Phenological Changes, Normalized Difference Vegetation Index (NDVI), Plant Phenology, Evergreen Vegetation |
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