This work is licensed under the Esri Master License Agreement.Click anywhere on earth to see how the water balance is changing over time. This app is based on data from GLDAS version 2.1, which uses weather observations like temperature, humidity, and rainfall to run the Noah land surface model. This model estimates how much of the rain becomes runoff, how much evaporates, and how much infiltrates into the soil. These output variables, calculated every three hours, are aggregated into monthly averages, giving us a record of the hydrologic cycle going all the way back to January 2000.
Because the model is run with 0.25 degree spatial resolution (~30 km), these data should only be used for regional analysis. A specific farm or other small area might experience very different conditions than the region around it, especially because human influences like irrigation are not included.
This app can also be seen as a useful template for sharing other climate datasets. If you would like to customize it for your own organization, or use it as a starting point for your own scientific application, the source code is available on github for anyone to use.
", "keyword": [ "GLDAS", "NASA", "hydrology", "earth observations", "landscape", "climate", "weather" ], "issued": "2017-09-28T18:12:28.000Z", "modified": "2026-10-27T17:38:19.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_hydro", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-179.0000,-89.9900,179.0000,89.9900", "license": " This work is licensed under the Esri Master License Agreement.
This basemap, included in the ArcGIS Living Atlas of the World, uses the World Street Map (Night) vector tile layer.
This work is licensed under the Esri Master License Agreement.The map is designed to be used as a basemap by marine GIS professionals and as a reference map by anyone interested in ocean data. The basemap focuses on bathymetry. It also includes inland waters and roads, overlaid on land cover and shaded relief imagery.
This work is licensed under the Esri Master License Agreement.Retirement Notice: This item is currently in beta and will be retired in December 2026. A replacement item has not been identified at this time. It is not recommended for production use, as functionality and content are subject to change without notice.
Sentinel-2, 10 and 60m Multispectral 13-band imagery, rendered on-the-fly. Available for visualization and analytics, this Imagery Layer pulls directly from the Sentinel-2 on AWS collection and is updated daily with new imagery.
This imagery layer can be used for multiple purposes including but not limited to bathymetric mapping applications, changing lands and marine environmental monitoring.
Geographic Coverage
Temporal Coverage
Image Selection/Filtering
Analysis Ready
Visual Rendering
Multispectral Bands
Band | Description | Wavelength (µm) | Resolution (m) |
1 | Coastal aerosol | 0.433 - 0.453 | 60 |
2 | Blue | 0.458 - 0.523 | 10 |
3 | Green | 0.543 - 0.578 | 10 |
4 | Red | 0.650 - 0.680 | 10 |
5 | Vegetation Red Edge | 0.698 - 0.713 | 20 |
6 | Vegetation Red Edge | 0.733 - 0.748 | 20 |
7 | Vegetation Red Edge | 0.773 - 0.793 | 20 |
8 | NIR | 0.785 - 0.900 | 10 |
8A | Narrow NIR | 0.855 - 0.875 | 20 |
9 | Water vapour | 0.935 - 0.955 | 60 |
10 | SWIR – Cirrus | 1.365 - 1.385 | 60 |
11 | SWIR-1 | 1.565 - 1.655 | 20 |
12 | SWIR-2 | 2.100 - 2.280 | 20 |
Additional Notes
Data Source
Sentinel-2 imagery is the result of close collaboration between the (European Space Agency) ESA, the European Commission and USGS. Data is hosted by the Amazon Web Services as part of their Registry of Open Data. Users can access the imagery from Sentinel-2 on AWS , EarthExplorer or the Copernicus Open Access Hub to download the scenes.
", "keyword": [ "sentinel2", "sentinel", "imagery", "multispectral", "temporal", "sentinel2 on aws", "amazon", "MS", "bathymetric", "bathymetric with dra", "marine", "esa", "sentinel-2", "retiring-2026-12" ], "issued": "2018-05-02T15:47:01.000Z", "modified": "2026-05-21T19:27:01.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-179.9973,-66.8050,179.9973,72.9957", "license": "If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
Retirement Notice: This item is currently in beta and will be retired in December 2026. A replacement item has not been identified at this time. It is not recommended for production use, as functionality and content are subject to change without notice.
Sentinel-2, 10 and 20m Multispectral 13-band imagery, rendered on-the-fly. Available for visualization and analytics, this Imagery Layer pulls directly from the Sentinel-2 on AWS collection and is updated daily with new imagery.
This imagery layer can be used for multiple purposes including but not limited to vegetation, land cover and environmental monitoring.
Geographic Coverage
Temporal Coverage
Image Selection/Filtering
Analysis Ready
Visual Rendering
Multispectral Bands
Band | Description | Wavelength (µm) | Resolution (m) |
1 | Coastal aerosol | 0.433 - 0.453 | 60 |
2 | Blue | 0.458 - 0.523 | 10 |
3 | Green | 0.543 - 0.578 | 10 |
4 | Red | 0.650 - 0.680 | 10 |
5 | Vegetation Red Edge | 0.698 - 0.713 | 20 |
6 | Vegetation Red Edge | 0.733 - 0.748 | 20 |
7 | Vegetation Red Edge | 0.773 - 0.793 | 20 |
8 | NIR | 0.785 - 0.900 | 10 |
8A | Narrow NIR | 0.855 - 0.875 | 20 |
9 | Water vapour | 0.935 - 0.955 | 60 |
10 | SWIR – Cirrus | 1.365 - 1.385 | 60 |
11 | SWIR-1 | 1.565 - 1.655 | 20 |
12 | SWIR-2 | 2.100 - 2.280 | 20 |
Additional Notes
Data Source
Sentinel-2 imagery is the result of close collaboration between the (European Space Agency) ESA, the European Commission and USGS. Data is hosted by the Amazon Web Services as part of their Registry of Open Data. Users can access the imagery from Sentinel-2 on AWS , EarthExplorer or the Copernicus Open Access Hub to download the scenes.
", "keyword": [ "sentinel2", "sentinel", "imagery", "multispectral", "temporal", "sentinel2 on aws", "amazon", "MS", "ndmi", "ndmi colorized", "normalized difference moisture index", "normalized difference moisture index colorized", "moisture", "esa", "sentinel-2", "retiring-2026-12" ], "issued": "2018-05-02T15:47:08.000Z", "modified": "2026-11-11T21:41:08.330Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_imagery", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-179.9973,-66.8050,179.9973,72.9957", "license": "If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
Retirement Notice: This item is currently in beta and will be retired in December 2026. A replacement item has not been identified at this time. It is not recommended for production use, as functionality and content are subject to change without notice.
Sentinel-2, 10m Multispectral 13-band imagery, rendered on-the-fly. Available for visualization and analytics, this Imagery Layer pulls directly from the Sentinel-2 on AWS collection and is updated daily with new imagery.
This imagery layer can be used for multiple purposes including but not limited to vegetation, land cover, plant health, deforestation and environmental monitoring.
Geographic Coverage
Temporal Coverage
Image Selection/Filtering
Analysis Ready
Visual Rendering
Multispectral Bands
Band | Description | Wavelength (µm) | Resolution (m) |
1 | Coastal aerosol | 0.433 - 0.453 | 60 |
2 | Blue | 0.458 - 0.523 | 10 |
3 | Green | 0.543 - 0.578 | 10 |
4 | Red | 0.650 - 0.680 | 10 |
5 | Vegetation Red Edge | 0.698 - 0.713 | 20 |
6 | Vegetation Red Edge | 0.733 - 0.748 | 20 |
7 | Vegetation Red Edge | 0.773 - 0.793 | 20 |
8 | NIR | 0.785 - 0.900 | 10 |
8A | Narrow NIR | 0.855 - 0.875 | 20 |
9 | Water vapour | 0.935 - 0.955 | 60 |
10 | SWIR – Cirrus | 1.365 - 1.385 | 60 |
11 | SWIR-1 | 1.565 - 1.655 | 20 |
12 | SWIR-2 | 2.100 - 2.280 | 20 |
Additional Notes
Data Source
Sentinel-2 imagery is the result of close collaboration between the (European Space Agency) ESA, the European Commission and USGS. Data is hosted by the Amazon Web Services as part of their Registry of Open Data. Users can access the imagery from Sentinel-2 on AWS , EarthExplorer or the Copernicus Open Access Hub to download the scenes.
", "keyword": [ "sentinel2", "sentinel", "imagery", "multispectral", "temporal", "sentinel2 on aws", "amazon", "MS", "ndvi", "ndvi classified", "vegetation", "esa", "sentinel-2", "retiring-2026-12" ], "issued": "2018-05-02T15:47:11.000Z", "modified": "2026-05-21T19:26:42.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-179.9973,-66.8050,179.9973,72.9957", "license": "If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
Retirement Notice: This item is currently in beta and will be retired in December 2026. A replacement item has not been identified at this time. It is not recommended for production use, as functionality and content are subject to change without notice.
Sentinel-2, 10 and 20m Multispectral 13-band imagery, rendered on-the-fly. Available for visualization and analytics, this Imagery Layer pulls directly from the Sentinel-2 on AWS collection and is updated daily with new imagery.
This imagery layer can be used for multiple purposes including but not limited to highlighting burned areas, estimate fire severity and environmental monitoring.
Geographic Coverage
Temporal Coverage
Image Selection/Filtering
Analysis Ready
Visual Rendering
Multispectral Bands
Band | Description | Wavelength (µm) | Resolution (m) |
1 | Coastal aerosol | 0.433 - 0.453 | 60 |
2 | Blue | 0.458 - 0.523 | 10 |
3 | Green | 0.543 - 0.578 | 10 |
4 | Red | 0.650 - 0.680 | 10 |
5 | Vegetation Red Edge | 0.698 - 0.713 | 20 |
6 | Vegetation Red Edge | 0.733 - 0.748 | 20 |
7 | Vegetation Red Edge | 0.773 - 0.793 | 20 |
8 | NIR | 0.785 - 0.900 | 10 |
8A | Narrow NIR | 0.855 - 0.875 | 20 |
9 | Water vapour | 0.935 - 0.955 | 60 |
10 | SWIR – Cirrus | 1.365 - 1.385 | 60 |
11 | SWIR-1 | 1.565 - 1.655 | 20 |
12 | SWIR-2 | 2.100 - 2.280 | 20 |
Additional Notes
Data Source
Sentinel-2 imagery is the result of close collaboration between the (European Space Agency) ESA, the European Commission and USGS. Data is hosted by the Amazon Web Services as part of their Registry of Open Data. Users can access the imagery from Sentinel-2 on AWS , EarthExplorer or the Copernicus Open Access Hub to download the scenes.
", "keyword": [ "sentinel2", "sentinel", "imagery", "multispectral", "temporal", "sentinel2 on aws", "amazon", "MS", "nbr", "nbr raw", "burn ratio", "fire", "esa", "sentinel-2", "retiring-2026-12" ], "issued": "2018-05-02T15:47:22.000Z", "modified": "2026-05-21T19:26:31.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-179.9973,-66.8050,179.9973,72.9957", "license": "If you don't have an account, you can sign up for a free trial of ArcGIS or a free ArcGIS Developer account.
This work is licensed under the Esri Master License Agreement.
The existence, sources, distribution, circulation, and physicochemical nature of macroscale oceanic water bodies have long been a focus of oceanographic inquiry. Building on that work, this paper describes an objectively derived and globally comprehensive set of 37 distinct volumetric region units, called ecological marine units (EMUs). They are constructed on a regularly spaced ocean point-mesh grid, from sea surface to seafloor, and attributed with data from the 2018 World Ocean Atlas.
The point attribute data are the means of the decadal averages from a 57-year climatology of six physical and chemical environment parameters (temperature, salinity, dissolved oxygen, nitrate, phosphate, and silicate). The database includes over 52 million points that depict the global ocean in x, y, and z dimensions. The point data were statistically clustered to define the 37 EMUs, which represent physically and chemically distinct water volumes based on spatial variation in the six marine environmental characteristics used. The aspatial clustering to produce the 37 EMUs did not include point location or depth as a determinant, yet strong geographic and vertical separation was observed. Twenty-two of the 37 EMUs are globally or regionally extensive, and account for 99% of the ocean volume, while the remaining 15 are smaller and shallower, and occur around coastal features. We assessed the vertical distribution of EMUs in the water column and placed them into classical depth zones representing epipelagic (0 m to 200 m), mesopelagic (200 m to 1,000 m), bathypelagic (1,000 m to 4,000 m) and abyssopelagic (>4,000 m) layers. The mapping and characterization of the EMUs represent a new spatial framework for organizing and understanding the physical, chemical, and ultimately biological properties and processes of oceanic water bodies.
The EMUs are an initial objective partitioning of the ocean using longterm historical average data, and could be extended in the future by adding new classification variables and by introducing functionality to develop time-specific EMU distribution maps. The EMUs are an open-access resource, and as both a standardized geographic framework and a baseline physicochemical characterization of the oceanic environment, they are intended to be useful for disturbance assessments, ecosystem accounting exercises, conservation priority setting, and marine protected area network design, along with other research and management applications.
", "keyword": [ "open science", "emu", "ecological marine units", "ocean", "marine", "ecosystem", "ExU" ], "issued": "2016-09-13T20:29:05.000Z", "modified": "2026-02-19T22:46:27.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_oceans", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-180.0000,-71.3458,180.0000,83.7386", "license": "https://creativecommons.org/licenses/by/4.0", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://imagery-amerigeoss.opendata.arcgis.com/apps/esri::ecological-marine-unit-emu-explorer" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://livingatlas.arcgis.com/emu" } ], "theme": [ "geospatial" ] }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=d9b466d6a9e647ce8d1dd5fe12eb434b", "landingPage": "https://imagery-amerigeoss.opendata.arcgis.com/datasets/esri::multispectral-landsat", "title": "Multispectral Landsat", "description": "This layer includes Landsat GLS, Landsat 8, and Landsat 9 imagery for use in visualization and analysis. This layer is time enabled and includes a number band combinations and indices rendered on demand. The Landsat 8 and 9 imagery includes nine multispectral bands from the Operational Land Imager (OLI) and two bands from the Thermal Infrared Sensor (TIRS). It is updated daily with new imagery directly sourced from the USGS Landsat collection on AWS.
Geographic Coverage
Temporal Coverage
Product Level
Image Selection/Filtering
Visual Rendering
Multispectral Bands
| \n Band \n | \n \n Description \n | \n \n Wavelength\n (µm) \n | \n \n Spatial\n Resolution (m) \n | \n
| \n 1 \n | \n \n Coastal\n aerosol \n | \n \n 0.43 - 0.45 \n | \n \n 30 \n | \n
| \n 2 \n | \n \n Blue \n | \n \n 0.45 - 0.51 \n | \n \n 30 \n | \n
| \n 3 \n | \n \n Green \n | \n \n 0.53 - 0.59 \n | \n \n 30 \n | \n
| \n 4 \n | \n \n Red \n | \n \n 0.64 - 0.67 \n | \n \n 30 \n | \n
| \n 5 \n | \n \n Near Infrared\n (NIR) \n | \n \n 0.85 - 0.88 \n | \n \n 30 \n | \n
| \n 6 \n | \n \n SWIR 1 \n | \n \n 1.57 - 1.65 \n | \n \n 30 \n | \n
| \n 7 \n | \n \n SWIR 2 \n | \n \n 2.11 - 2.29 \n | \n \n 30 \n | \n
| \n 8 \n | \n \n Cirrus (in\n OLI this is band 9) \n | \n \n 1.36 - 1.38 \n | \n \n 30 \n | \n
| \n 9 \n | \n \n QA Band\n (available with Collection 1)* \n | \n \n NA \n | \n \n 30 \n | \n
*More about the Quality Assessment Band
TIRS Bands
| \n Band \n | \n \n Description \n | \n \n Wavelength\n (µm) \n | \n \n Spatial\n Resolution (m) \n | \n
| \n 10 \n | \n \n TIRS1 \n | \n \n 10.60 - 11.19 \n | \n \n 100 * (30) | \n
| \n 11 \n | \n \n TIRS2 \n | \n \n 11.50 - 12.51 \n | \n \n 100 * (30) | \n
*TIRS bands are acquired at 100 meter resolution, but are resampled to 30 meter in delivered data product.
Additional Usage Notes
Data Source
Landsat imagery is sourced from the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA). Data is hosted in Amazon Web Services as part of their Public Data Sets program.
For information, see Landsat 8 and Landsat 9.
", "keyword": [ "Landsat on AWS", "Landsat", "Multispectral", "Multitemporal", "imagery", "landsat 8", "temporal", "MS", "landsat 9" ], "issued": "2015-03-19T16:21:14.000Z", "modified": "2026-02-06T21:52:35.000Z", "publisher": { "name": "Esri" }, "contactPoint": { "@type": "vcard:Contact", "fn": "esri_imagery", "hasEmail": "{{orgContactEmail}}" }, "accessLevel": "public", "spatial": "-180.0000,-65.3235,180.0000,65.3126", "license": "
This work is licensed under the Esri Master License Agreement. This work is licensed under the Esri Master License Agreement.Geographic Information Systems (GIS) can help in solving some of the biggest challenges when it come to disasters by:
Created for you to visualize our planet and understand how the Earth has changed over time, the Esri Landsat Explorer app provides the power of Landsat satellites, which gather data beyond what the eye can see. Use this app to draw on Landsat's different bands to better explore the planet's geology, vegetation, agriculture, and cities. Additionally, access the entire Landsat archive to visualize how the Earth's surface has changed over the last forty years.
Quick access to the following band combinations and indices is provided:
This work is licensed under the Esri Master License Agreement.
This work is licensed under the Esri Master License Agreement. This layer includes Landsat 8 and 9 imagery rendered on-the-fly as Normalized Difference Moisture Index (NDMI) Colorized for use in visualization and analysis. This layer is time enabled and includes a number of band combinations and indices rendered on demand. The imagery includes eight multispectral bands from the Operational Land Imager (OLI) and two bands from the Thermal Infrared Sensor (TIRS). It is updated daily with new imagery directly sourced from the USGS Landsat collection on AWS.
Geographic Coverage
Temporal Coverage
Product Level
Image Selection/Filtering
Visual Rendering
Multispectral Bands
The table below lists all available multispectral OLI bands. Normalized Difference Moisture Index consumes bands 5 and 6.
Band | Description | Wavelength (µm) | Spatial Resolution (m) |
1 | Coastal aerosol | 0.43 - 0.45 | 30 |
2 | Blue | 0.45 - 0.51 | 30 |
3 | Green | 0.53 - 0.59 | 30 |
4 | Red | 0.64 - 0.67 | 30 |
5 | Near Infrared (NIR) | 0.85 - 0.88 | 30 |
6 | SWIR 1 | 1.57 - 1.65 | 30 |
7 | SWIR 2 | 2.11 - 2.29 | 30 |
8 | Cirrus (in OLI this is band 9) | 1.36 - 1.38 | 30 |
9 | QA Band (available with Collection 1)* | NA | 30 |
*More about the Quality Assessment Band
TIRS Bands
Band | Description | Wavelength (µm) | Spatial Resolution (m) |
10 | TIRS1 | 10.60 - 11.19 | 100 * (30) |
11 | TIRS2 | 11.50 - 12.51 | 100 * (30) |
*TIRS bands are acquired at 100 meter resolution, but are resampled to 30 meter in delivered data product.
Additional Usage Notes
Data Source
Landsat imagery is sourced from the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA). Data is hosted by the Amazon Web Services as part of their Public Data Sets program.
For information, see Landsat 8 and Landsat 9.
This work is licensed under the Esri Master License Agreement.This layer includes Landsat 8 and 9 imagery rendered on-the-fly as NBR Raw for use in analysis. This layer is time enabled and includes a number of band combinations and indices rendered on demand. The imagery includes eight multispectral bands from the Operational Land Imager (OLI) and two bands from the Thermal Infrared Sensor (TIRS). It is updated daily with new imagery directly sourced from the USGS Landsat collection on AWS.
Geographic Coverage
Temporal Coverage
Product Level
Image Selection/Filtering
Visual Rendering
Multispectral Bands
The table below lists all available multispectral OLI bands. NBR Raw consumes bands 5 and 7.
Band | Description | Wavelength (µm) | Spatial Resolution (m) |
1 | Coastal aerosol | 0.43 - 0.45 | 30 |
2 | Blue | 0.45 - 0.51 | 30 |
3 | Green | 0.53 - 0.59 | 30 |
4 | Red | 0.64 - 0.67 | 30 |
5 | Near Infrared (NIR) | 0.85 - 0.88 | 30 |
6 | SWIR 1 | 1.57 - 1.65 | 30 |
7 | SWIR 2 | 2.11 - 2.29 | 30 |
8 | Cirrus (in OLI this is band 9) | 1.36 - 1.38 | 30 |
9 | QA Band (available with Collection 1)* | NA | 30 |
*More about the Quality Assessment Band
TIRS Bands
Band | Description | Wavelength (µm) | Spatial Resolution (m) |
10 | TIRS1 | 10.60 - 11.19 | 100 * (30) |
11 | TIRS2 | 11.50 - 12.51 | 100 * (30) |
*TIRS bands are acquired at 100 meter resolution, but are resampled to 30 meter in delivered data product.
Additional Usage Notes
Data Source
Landsat imagery is sourced from the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA). Data is hosted by the Amazon Web Services as part of their Public Data Sets program.
For information, see Landsat 8 and Landsat 9.
This work is licensed under the Esri Master License Agreement.This layer includes Landsat 8 and 9 imagery rendered on-the-fly as Bathymetric with DRA for use in visualization and analysis. This layer is time enabled and includes a number of band combinations and indices rendered on demand. The imagery includes eight multispectral bands from the Operational Land Imager (OLI) and two bands from the Thermal Infrared Sensor (TIRS). It is updated daily with new imagery directly sourced from the USGS Landsat collection on AWS.
Geographic Coverage
Temporal Coverage
Product Level
Image Selection/Filtering
Visual Rendering
Multispectral Bands
The table below lists all available multispectral OLI bands. Bathymetric with DRA consumes bands 4,3,1.
Band | Description | Wavelength (µm) | Spatial Resolution (m) |
1 | Coastal aerosol | 0.43 - 0.45 | 30 |
2 | Blue | 0.45 - 0.51 | 30 |
3 | Green | 0.53 - 0.59 | 30 |
4 | Red | 0.64 - 0.67 | 30 |
5 | Near Infrared (NIR) | 0.85 - 0.88 | 30 |
6 | SWIR 1 | 1.57 - 1.65 | 30 |
7 | SWIR 2 | 2.11 - 2.29 | 30 |
8 | Cirrus (in OLI this is band 9) | 1.36 - 1.38 | 30 |
9 | QA Band (available with Collection 1)* | NA | 30 |
*More about the Quality Assessment Band
TIRS Bands
Band | Description | Wavelength (µm) | Spatial Resolution (m) |
10 | TIRS1 | 10.60 - 11.19 | 100 * (30) |
11 | TIRS2 | 11.50 - 12.51 | 100 * (30) |
*TIRS bands are acquired at 100 meter resolution, but are resampled to 30 meter in delivered data product.
Additional Usage Notes
Data Source
Landsat imagery is sourced from the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA). Data is hosted by the Amazon Web Services as part of their Public Data Sets program.
For information, see Landsat 8 and Landsat 9.
This work is licensed under the Esri Master License Agreement.Worldview uses NASA's Global Imagery Browse Services (GIBS) to rapidly retrieve its imagery for an interactive browsing experience. While Worldview uses OpenLayers as its mapping library, GIBS imagery can also be accessed from Google Earth, NASA WorldWind, and several other clients. We encourage interested developers to build their own clients or integrate NASA imagery into their existing ones using these services.
Comments/suggestions/problem reports are welcome via Earthdata Support. View frequently asked questions (FAQ) about Worldview.
Source Information Obtained Oct 18, 2018 from https://earthdata.nasa.gov/worldview
Landsat 8 OLI Collection 1 Surface Reflectance are generated using the Land Surface Reflectance Code (LaSRC) (version 1.4.1), which makes use of the coastal aerosol band to perform aerosol inversion tests, uses auxiliary climate data from MODIS, and uses a unique radiative transfer model. (Vermote et al., 2016).
LaSRC hardcodes the view zenith angle to “0”, and the solar zenith and view zenith angles are used for calculations as part of the atmospheric correction.
The Landsat 8 Collection 1 Land Surface Reflectance Code (LaSRC) Product Guide contains details about the LaSRC algorithm and the Landsat 8 Surface Reflectance data products created from it.
Landsat 4-5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+)Landsat 4-5 TM and Landsat 7 ETM+ Collection 1 Surface Reflectance are generated using the Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS) algorithm (version 3.4.0), a specialized software originally developed through a National Aeronautics and Space Administration (NASA) Making Earth System Data Records for Use in Research Environments (MEaSUREs) grant by NASA Goddard Space Flight Center (GSFC) and the University of Maryland (Masek et al., 2006).
The software applies Moderate Resolution Imaging Spectroradiometer (MODIS) atmospheric correction routines to Level-1 data products. Water vapor, ozone, atmospheric pressure, aerosol optical thickness, and digital elevation are input with Landsat data to the Second Simulation of a Satellite Signal in the Solar Spectrum (6S) radiative transfer models to generate top of atmosphere (TOA) reflectance, surface reflectance, TOA brightness temperature, and masks for clouds, cloud shadows, adjacent clouds, land, and water.
The Landsat 4-7 Collection 1 Surface Reflectance Product Guide contains details about the LEDAPS algorithm and the Surface Reflectance data products created from it.
The USGS Global Visualization Viewer (GloVis) is an online search and order tool for selected satellite data. Through a graphic map display, the user can select any area of interest and immediately view all available browse images for the specified location. From the browse image viewer page, the user may either navigate to view adjacent scene locations or select a new area of interest. GloVis also offers additional features such as cloud cover limits, date limits, user-specified map layer displays, scene list curation, and access to metadata. The viewer provides access to Thermal Infrared (TIR) and Visible and Near Infrared (VNIR) data from the LP DAAC’s ASTER L1T data product. A selection of data collected by Landsat satellites and other remote sensing instruments are also available. A full listing of available data products can be found in the GloVis FAQ’s.
The International Production Assessment Division (IPAD) is part of the Office of Global Analysis (OGA) within the Foreign Agricultural Service (FAS), an agency within the US Department of Agriculture (USDA). FAS-IPAD uses satellite imagery and remote sensing data to assist in its agricultural estimates of global crop conditions. The division provides monthly estimates of area, yield and production for 17 distinct commodities in over 160 countries around the world, including post-disaster assessments. GADAS is a powerful visualization tool based on an ArcGIS platform that enables FAS-IPAD analysts, and other users, to rapidly assess real-time crop conditions using a wide variety of data layers from a multitude of sources.
GADAS integrates a vast array of highly detailed data streams to include daily precipitation data, vegetation index, crop masks, land cover data, irrigation and water data, elevation and infrastructure, political data, and much more. In addition, FAS-IPAD has partnered with the Pacific Disaster Center (PDC) in Hawaii to incorporate real-time data streams into GADAS for worldwide monitoring, tracking, and pre- and post-disaster agricultural assessments resulting from hurricanes, typhoons, tsunamis, floods, droughts, earthquakes and volcanic eruptions.
You may want to begin exploring GADAS for the many things it can be used for, such as:
We welcome your feedback on how GADAS has worked or is working for you, and are enthusiastic about expanding the data layers, utilization, and future development of this very powerful GIS tool. Please contact us at OGA.IPAD@fas.usda.gov to provide your valued comments…we look forward to hearing from you!
Here’s a screenshot centered over the northern Atlantic Ocean:
", "keyword": [ "Disaster", "Agriculture", "Elevation", "Volcano", "volcanic", "droughts", "typhoon", "hurricane", "eruption", "irrigation", "water", "infrastructure", "land cover", "crop", "vegetation", "AmeriGEOSS", "GEOSS", "GEO", "UNGGIM-Americas", "Americas", "AmeriGEO", "Climate", "Climate Change", "Climate Indicators", "Climate Initiatives", "GeoPathways", "GeoPathways 2021-2022", "Inter-American", "NASA", "NOAA", "Open Science", "Science", "USGS" ], "issued": "2018-10-23T12:36:36.000Z", "modified": "2021-11-18T00:41:51.000Z", "publisher": { "name": "AmeriGEO" }, "contactPoint": { "@type": "vcard:Contact", "fn": "AmeriGEOSS", "hasEmail": "mailto:support@amerigeo.org" }, "accessLevel": "public", "spatial": "", "license": "", "distribution": [ { "@type": "dcat:Distribution", "title": "ArcGIS Hub Dataset", "format": "Web Page", "mediaType": "text/html", "accessURL": "https://imagery-amerigeoss.opendata.arcgis.com/apps/amerigeoss::global-agriculture-and-disaster-assessment-system-gadas" }, { "@type": "dcat:Distribution", "title": "ArcGIS GeoService", "format": "ArcGIS GeoServices REST API", "mediaType": "application/json", "accessURL": "https://geo.fas.usda.gov/GADAS/index.html" } ], "theme": "" }, { "@type": "dcat:Dataset", "identifier": "https://www.arcgis.com/home/item.html?id=3dc822981ab1440ea1ef58ef07559c8e", "landingPage": "https://imagery-amerigeoss.opendata.arcgis.com/maps/amerigeoss::global-stream-flow-web-map", "title": "Global Stream Flow Web Map", "description": "Data Source: This map includes image services compiled from the following Global Land Survey (GLS) datasets: GLS 2005, GLS 2000, GLS 1990, and GLS 1975. GLS datasets are created by the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) using Landsat images. These global minimal-cloud cover, orthorectified Landsat data products support global assessments of land-cover, land cover-change, and ecosystem dynamics such as disturbance and vegetation health.
This work is licensed under the Web Services and API Terms of Use.
View Summary | View Terms of Use
Departamento Madre de Dios, Provincia Tambopata, Distrito Laberinto.Los puntos de interés se encuentran localizados a un promedio de 7.2 Km. aprox. al Este del Río Los Amigos
Google Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities and makes it available for scientists, researchers, and developers to detect changes, map trends, and quantify differences on the Earth's surface.
SATELLITE IMAGERY+
YOUR ALGORITHMS+
REAL WORLD APPLICATIONSExplore our interactive timelapse viewer to travel back in time and see how the world has changed over the past twenty-nine years. Timelapse is one example of how Earth Engine can help gain insight into petabyte-scale datasets.
EXPLORE TIMELAPSEThe public data archive includes more than thirty years of historical imagery and scientific datasets, updated and expanded daily. It contains over twenty petabytes of geospatial data instantly available for analysis.
EXPLORE DATASETSThe Earth Engine API is available in Python and JavaScript, making it easy to harness the power of Google’s cloud for your own geospatial analysis.
EXPLORE THE APIUse our web-based code editor for fast, interactive algorithm development with instant access to petabytes of data.
LEARN ABOUT THE CODE EDITORScientists and non-profits use Earth Engine for remote sensing research, predicting disease outbreaks, natural resource management, and more.
SEE CASE STUDIES
The LandsatLook Viewer is a prototype tool that was developed to allow rapid online viewing and access to the USGS Landsat image archives. This viewer allows you to:
We welcome feedback and input for future versions of this Viewer! Please provide your comments or suggestions .
About the ImageryThis viewer provides visual and download access to the USGS LandsatLook "Natural Color" imageproduct archive.
BackgroundThe Landsat satellites have been collecting multispectral images of Earth from space since 1972. Each image contains multiple bands of spectral information which may require significant user time, system resources, and technical expertise to obtain a visual result. As a result, the use and access to Landsat data has been historically limited to the scientific and technical user communities.
The LandsatLook “Natural Color” image product option was created to provide Landsat imagery in a simple user-friendly and viewer-ready format, based on specific bands that have been selected and arranged to simulate natural color. This type of product allows easy visualization of the archived Landsat image without any need for specialized software or technical expertise.
LandsatLook ViewerThe LandsatLook Viewer displays the LandsatLook Natural Color image product for all Landsat 1-8 images in the USGS archive and was designed primarily for visualization purposes.
The imagery within this Viewer will be of value to anyone who wants to quickly see the full Landsat record for an area, along with major image features or obvious changes to Earth’s surface through time. An area of interest may be extracted and downloaded as a simple graphic file directly through the viewer, and the original full image tile is also available if needed. Any downloaded LandsatLook image product is a georeferenced file and will be compatible within most GIS and Web mapping applications.
If the user needs to perform detailed technical analysis, the full bands of Landsat source data may also be accessed through direct links provided on the LandsatLook Viewer.
Image ServicesThe imagery that is visible on this LandsatLook Viewer is based on Web-based ArcGIS image services. The underlying REST service endpoints for the LandsatLook imagery are available at https://landsatlook.usgs.gov/arcgis/rest/services/LandsatLook/ImageServer .
Useful linksLandsat- Landsat Mission (USGS)- Landsat Science (NASA)LandsatLook- Product Description- USGS Fact Sheet- LandsatLook image services (REST)Landsat Products- Landsat 8 OLI/TIRS- Landsat 7 ETM+- Landsat 4-5 TM- Landsat 1-5 MSS- Landsat Band DesignationsLandsatLook images are full-resolution files derived from Landsat Level-1 data products. The images are compressed and stretched to create an image optimized for image selection and visual interpretation. It is recommended that these images not be used in image analysis.
LandsatLook image files are included as options when downloading Landsat scenes from EarthExplorer, GloVis, or the LandsatLook Viewer (See Figure 1).
Figure 1. LandsatLook and Level-1 product download options
The LandsatLook Natural Color image is a .jpg composite of three bands to show a “natural” looking (false color) image. Reflectance values were calculated from the calibrated scaled digital number (DN) image data. The reflectance values were scaled to a 1-255 range using a gamma stretch with a gamma=2.0. This stretch was designed to emphasize vegetation without clipping the extreme values.
Landsat 1-3 MSS = Bands 7,5,4
The LandsatLook Thermal image is a one-band gray scale .jpg image that displays thermal properties of a Landsat scene. Image brightness temperature values were calculated from the calibrated scaled digital number (DN) image data. An image specific 2 percent clip and a linear stretch to 1-255 were applied to the brightness temperature values.
Landsat 1-5 MSS = not available
LandsatLook Quality images are 8-bit files generated from the Landsat Level-1 Quality band to provide a quick view of the quality of the pixels within the scene to determine if a particular scene would work best for the user's application. This file includes values representing bit-packed combinations of surface, atmosphere, and sensor conditions that can affect the overall usefulness of a given pixel. Color mapping assignments can be seen in the tables below.
For each Landsat scene, LandsatLook Quality images can be downloaded individually in .jpg format, or as a GeoTIFF format file (_QB.TIF) within the LandsatLook Images with Geographic Reference file.
| Landsat Collection 1 LandsatLook 8-bit Quality Images Designations | ||||||
| Landsat 8 OLI/TIRS | Landsat 7 ETM+, Landsat 4-5 TM | Landsat 1-5 MSS | Color | |||
| Bit | Description | Bit | Description | Bit | Description | |
| 0 | Designated Fill | 0 | Designated Fill | 0 | Designated Fill |
|
| 1 | Terrain Occlusion | 1 | Dropped Pixel | 1 | Dropped Pixel |
|
| 2 | Radiometric Saturation | 2 | Radiometric Saturation | 2 | Radiometric Saturation |
|
| 3 | Cloud | 3 | Cloud | 3 | Cloud |
|
| 4 | Cloud Shadow | 4 | Cloud Shadow | 4 | Unused |
|
| 5 | Snow/Ice | 5 | Snow/Ice | 5 | Unused |
|
| 6 | Cirrus | 6 | Unused | 6 | Unused |
|
| 7 | Unused | 7 | Unused | 7 | Unused | Unused |
Table 1. Landsat Collection 1 LandsatLook 8-bit Quality Images Designations
LandsatLook Images with Geographic ReferenceThe LandsatLook Image with Geographic Reference is a .zip file bundle that contains the Natural Color, Thermal, and the 8-bit Quality images in georeferenced GeoTiff (.TIF) file format.
Additional Information About LandsatLook Images
Many geographic information systems and image processing software packages easily support .jpg images. To create these files, Landsat data is mapped to a 1-255 range, with the fill area set to zero (if a no-data value is set to zero, the compression algorithm may introduce zero-value artifacts into the data area causing very dark data values to be displayed as no-data).
", "keyword": [ "AmeriGEOSS", "GEO", "GEOSS", "Imagery", "USGS", "Landsat", "Sentinel-2", "Landsat WRS-1", "Landsat 8", "Landsat 7", "Landsat 4", "Landsat 5" ], "issued": "2018-11-09T16:41:56.000Z", "modified": "2018-11-09T16:59:00.000Z", "publisher": { "name": "USGS" }, "contactPoint": { "@type": "vcard:Contact", "fn": "AmeriGEOSS", "hasEmail": "mailto:support@amerigeo.org" }, "accessLevel": "public", "spatial": "", "license": "Use the USGS EarthExplorer (EE) to search, download, and order satellite images, aerial photographs, and cartographic products. In addition to data from the Landsat missions and a variety of other data providers, EE provides access to MODIS land data products from the NASA Terra and Aqua missions, and ASTER level-1B data products over the U.S. and Territories from the NASA ASTER mission. Registered users of EE have access to more features than guest users.
The EarthExplorer user interface is an online search, discovery, and ordering tool developed by the United States Geological Survey (USGS). EarthExplorer supports the searching of satellite, aircraft, and other remote sensing inventories through interactive and textual-based query capabilities. Through the interface, users can identify search areas, datasets, and display metadata, browse and integrated visual services within the interface.
The distributable version of EarthExplorer provides the basic software to provide this functionality. Users are responsible for verification of system recommendations for hosting the application on your own servers. By default, this version of our code is not hooked up to a data source so you will have to integrate the interface with your data. Integration options include service-based API's, databases, and anything else that stores data. To integrate with a data source simply replace the contents of the 'getDataset' and 'search' functions in the CWIC.php file.
Distribution is being provided due to users requests for the codebase. The EarthExplorer source code is provided "As Is", without a warranty or support of any kind. The software is in the public domain; it is available to any government or private institution.
The software code base is managed through the USGS Configuration Management Board. The software is managed through an automated configuration management tool that updates the code base when new major releases have been thoroughly reviewed and tested.
This map contains a number of world-wide dynamic image services providing\naccess to various Landsat scenes covering the landmass of the World for\nvisual interpretation. Landsat 8 collects new scenes for each location on Earth every 16 days, assuming limited cloud coverage. Newest and near cloud-free scenes are displayed by default on top. Most scenes collected since 1st January 2015 are included. The service also includes scenes from the Global Land Survey* (circa 2010, 2005, 2000, 1990, 1975).
The service contains a range of different predefined renderers for Multispectral, Panchromatic as well as Pansharpened scenes. The layers in the service can be time-enabled\nso that the applications can restrict the displayed scenes to a specific date range.
This ArcGIS Server dynamic service can be used in Web Maps and ArcGIS Desktop, Web and Mobile applications using the REST based image services API. Users can also export images, but the exported area is limited to maximum of 2,000 columns x 2,000 rows per request.
Data Source: The imagery in these services is sourced from the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA). The data for these services reside on the Landsat Public Datasets hosted on the Amazon Web Service cloud. Users can access full scenes from https://github.com/landsat-pds/landsat_ingestor/wiki/Accessing-Landsat-on-AWS, or alternatively access http://landsatlook.usgs.gov to review and download full scenes from the complete USGS archive.
For more information on Landsat 8 images, see http://landsat.usgs.gov/landsat8.php.
*The Global Land Survey includes images from Landsat 1 through Landsat 7. Band numbers and band combinations differ from those of Landsat 8, but have been mapped to the most appropriate band as in the above table. For more information about the Global Land Survey, visit http://landsat.usgs.gov/science_GLS.php.
For more information on each of the individual layers, see
http://www.arcgis.com/home/item.html?id=d9b466d6a9e647ce8d1dd5fe12eb434b ;
http://www.arcgis.com/home/item.html?id=6b003010cbe64d5d8fd3ce00332593bf ;
http://www.arcgis.com/home/item.html?id=a7412d0c33be4de698ad981c8ba471e6
", "keyword": [ "imagery", "temporal", "multispectral", "landsat", "landsat 8", "GLS", "panchromatic", "pansharpened", "AmeriGEOSS", "GEOSS", "GEO", "UNGGIM-Americas" ], "issued": "2018-04-24T17:26:36.000Z", "modified": "2018-11-09T01:30:39.000Z", "publisher": { "name": "AmeriGEO" }, "contactPoint": { "@type": "vcard:Contact", "fn": "AAlvarez_amerigeoss", "hasEmail": "mailto:support@amerigeo.org" }, "accessLevel": "public", "spatial": "-60.0919,-3.9131,-58.5127,-2.6421", "license": " This work is licensed under the Esri Master License Agreement.",
"distribution": [
{
"@type": "dcat:Distribution",
"title": "ArcGIS Hub Dataset",
"format": "Web Page",
"mediaType": "text/html",
"accessURL": "https://imagery-amerigeoss.opendata.arcgis.com/maps/amerigeoss::landsat-layers-doug"
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"identifier": "https://www.arcgis.com/home/item.html?id=3b2e282a79664bed8a579f27de046a02",
"landingPage": "https://imagery-amerigeoss.opendata.arcgis.com/maps/amerigeoss::landsat-layers",
"title": "Landsat Layers",
"description": "This map contains a number of world-wide dynamic image services providing\naccess to various Landsat scenes covering the landmass of the World for\nvisual interpretation. Landsat 8 collects new scenes for each location on Earth every 16 days, assuming limited cloud coverage. Newest and near cloud-free scenes are displayed by default on top. Most scenes collected since 1st January 2015 are included. The service also includes scenes from the Global Land Survey* (circa 2010, 2005, 2000, 1990, 1975).
The service contains a range of different predefined renderers for Multispectral, Panchromatic as well as Pansharpened scenes. The layers in the service can be time-enabled\nso that the applications can restrict the displayed scenes to a specific date range.
This ArcGIS Server dynamic service can be used in Web Maps and ArcGIS Desktop, Web and Mobile applications using the REST based image services API. Users can also export images, but the exported area is limited to maximum of 2,000 columns x 2,000 rows per request.
Data Source: The imagery in these services is sourced from the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA). The data for these services reside on the Landsat Public Datasets hosted on the Amazon Web Service cloud. Users can access full scenes from https://github.com/landsat-pds/landsat_ingestor/wiki/Accessing-Landsat-on-AWS, or alternatively access http://landsatlook.usgs.gov to review and download full scenes from the complete USGS archive.
For more information on Landsat 8 images, see http://landsat.usgs.gov/landsat8.php.
*The Global Land Survey includes images from Landsat 1 through Landsat 7. Band numbers and band combinations differ from those of Landsat 8, but have been mapped to the most appropriate band as in the above table. For more information about the Global Land Survey, visit http://landsat.usgs.gov/science_GLS.php.
For more information on each of the individual layers, see
http://www.arcgis.com/home/item.html?id=d9b466d6a9e647ce8d1dd5fe12eb434b ;
http://www.arcgis.com/home/item.html?id=6b003010cbe64d5d8fd3ce00332593bf ;
http://www.arcgis.com/home/item.html?id=a7412d0c33be4de698ad981c8ba471e6
", "keyword": [ "imagery", "temporal", "multispectral", "landsat", "landsat 8", "GLS", "panchromatic", "pansharpened", "AmeriGEOSS", "GEOSS", "GEO", "UNGGIM-Americas" ], "issued": "2017-12-15T12:50:51.000Z", "modified": "2018-11-09T01:30:39.000Z", "publisher": { "name": "AmeriGEO" }, "contactPoint": { "@type": "vcard:Contact", "fn": "AAlvarez_amerigeoss", "hasEmail": "mailto:support@amerigeo.org" }, "accessLevel": "public", "spatial": "-38.0767,-34.8320,91.3862,36.4388", "license": " This work is licensed under the Esri Master License Agreement.",
"distribution": [
{
"@type": "dcat:Distribution",
"title": "ArcGIS Hub Dataset",
"format": "Web Page",
"mediaType": "text/html",
"accessURL": "https://imagery-amerigeoss.opendata.arcgis.com/maps/amerigeoss::landsat-layers"
}
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"@type": "dcat:Dataset",
"identifier": "https://www.arcgis.com/home/item.html?id=3d500aac0b604cda9d20b2bdd2304ae3",
"landingPage": "https://imagery-amerigeoss.opendata.arcgis.com/datasets/amerigeoss::landsat8-views",
"title": "Landsat8 Views",
"description": "Multispectral Landsat 8 OLI Image Service covering the landmass of the World. This service includes 8-band multispectral scenes, at 30 meter resolution. It can be used for mapping and change detection of agriculture, soils, vegetation health, water-land features and boundary studies. Using on-the-fly processing, the raw DN values are transformed to scaled (5000 - 55000) apparent reflectance values and then different service based renderings for band combinations and indices are applied. The service is updated on a daily basis to include the latest best scenes from the USGS.",
"keyword": [
"landsat 8",
"AmeriGEOSS",
"GEOSS",
"GEO",
"UNGGIM-Americas"
],
"issued": "2018-03-23T15:12:51.000Z",
"modified": "2026-09-02T05:41:07.549Z",
"publisher": {
"name": "AmeriGEOSS"
},
"contactPoint": {
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"fn": "AAlvarez_amerigeoss",
"hasEmail": "mailto:amerigeoss@gmail.com"
},
"accessLevel": "public",
"spatial": "-180.0000,-85.2379,180.0000,84.3916",
"license": "",
"distribution": [
{
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"title": "ArcGIS Hub Dataset",
"format": "Web Page",
"mediaType": "text/html",
"accessURL": "https://imagery-amerigeoss.opendata.arcgis.com/datasets/amerigeoss::landsat8-views"
},
{
"@type": "dcat:Distribution",
"title": "ArcGIS GeoService",
"format": "ArcGIS GeoServices REST API",
"mediaType": "application/json",
"accessURL": "https://landsat2.arcgis.com/arcgis/rest/services/Landsat8_Views/ImageServer"
}
],
"theme": [
"geospatial"
]
},
{
"@type": "dcat:Dataset",
"identifier": "https://www.arcgis.com/home/item.html?id=48a9360abf8d415f9be2a92ed92bf070",
"landingPage": "https://imagery-amerigeoss.opendata.arcgis.com/datasets/amerigeoss::landsat-layer-2018-02-28-urban-index",
"title": "Landsat layer - 2018/02/28 - Urban Index",
"description": "Landsat layer with Urban Index applied on it.",
"keyword": [
"Landsat",
"AmeriGEOSS",
"GEOSS",
"GEO",
"UNGGIM-Americas"
],
"issued": "2018-02-28T17:26:12.000Z",
"modified": "2026-11-09T15:29:24.904Z",
"publisher": {
"name": "AmeriGEOSS"
},
"contactPoint": {
"@type": "vcard:Contact",
"fn": "AAlvarez_amerigeoss",
"hasEmail": "mailto:amerigeoss@gmail.com"
},
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"spatial": "-180.0000,-65.3235,180.0000,65.3126",
"license": "",
"distribution": [
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"title": "ArcGIS Hub Dataset",
"format": "Web Page",
"mediaType": "text/html",
"accessURL": "https://imagery-amerigeoss.opendata.arcgis.com/datasets/amerigeoss::landsat-layer-2018-02-28-urban-index"
},
{
"@type": "dcat:Distribution",
"title": "ArcGIS GeoService",
"format": "ArcGIS GeoServices REST API",
"mediaType": "application/json",
"accessURL": "https://landsat2.arcgis.com/arcgis/rest/services/Landsat/MS/ImageServer"
}
],
"theme": [
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},
{
"@type": "dcat:Dataset",
"identifier": "https://www.arcgis.com/home/item.html?id=5588b5a87a914b70bf541d408236dc41",
"landingPage": "https://imagery-amerigeoss.opendata.arcgis.com/datasets/amerigeoss::imagery-landsat-multispectral-landsat-image-service",
"title": "Imagery - Landsat/Multispectral Landsat Image Service",
"description": "Multispectral Landsat image service covering the landmass of the World. This service includes scenes from Landsat 8 and Global Land Survey (GLS) data from epochs 1990, 2000, 2005 & 2010 at 30 meter resolution as well as GLS 1975 at 60 meter resolution. GLS datasets are created by the United States Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) using Landsat images. This service can be used for mapping and change detection of urban growth, change of natural resources and comparing Landsat 8 imagery with GLS data. Using on-the-fly processing, the raw DN values are transformed to scaled (5000 - 55000) apparent reflectance values and then different service based renderings for band combinations and indices are applied. The band names are in line with Landsat 8 bands; GLS data band names are mapped along the same lines.",
"keyword": [
"Landsat",
"Imagery",
"GeoPlatform.gov",
"AmeriGEOSS",
"Change Detection",
"Urban Growth",
"Natural Resources",
"30 Meter Resolution",
"60 Meter Resolution",
"GEOSS",
"GEO",
"UNGGIM-Americas"
],
"issued": "2018-03-23T14:37:41.000Z",
"modified": "2026-11-09T20:13:50.953Z",
"publisher": {
"name": "AmeriGEOSS"
},
"contactPoint": {
"@type": "vcard:Contact",
"fn": "AAlvarez_amerigeoss",
"hasEmail": "mailto:support@amerigeo.org"
},
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"spatial": "-180.0000,-65.3235,180.0000,65.3126",
"license": "",
"distribution": [
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"title": "ArcGIS Hub Dataset",
"format": "Web Page",
"mediaType": "text/html",
"accessURL": "https://imagery-amerigeoss.opendata.arcgis.com/datasets/amerigeoss::imagery-landsat-multispectral-landsat-image-service"
},
{
"@type": "dcat:Distribution",
"title": "ArcGIS GeoService",
"format": "ArcGIS GeoServices REST API",
"mediaType": "application/json",
"accessURL": "https://landsat2.arcgis.com/arcgis/rest/services/Landsat/MS/ImageServer"
}
],
"theme": [
"geospatial"
]
},
{
"@type": "dcat:Dataset",
"identifier": "https://www.arcgis.com/home/item.html?id=69a852939a624cf3ad20477caad5a6da",
"landingPage": "https://imagery-amerigeoss.opendata.arcgis.com/documents/amerigeoss::le07-l1tp-006057-20060411-20170110-01-t1-1",
"title": "LE07 L1TP 006057 20060411 20170110 01 T1",
"description": "{{description}}",
"keyword": [
"Landsat",
"AmeriGEOSS",
"GEOSS",
"GEO",
"UNGGIM-Americas"
],
"issued": "2018-01-29T16:35:16.000Z",
"modified": "2018-11-09T01:30:39.000Z",
"publisher": {
"name": "AmeriGEO"
},
"contactPoint": {
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"license": "",
"distribution": [
{
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"title": "ArcGIS Hub Dataset",
"format": "Web Page",
"mediaType": "text/html",
"accessURL": "https://imagery-amerigeoss.opendata.arcgis.com/documents/amerigeoss::le07-l1tp-006057-20060411-20170110-01-t1-1"
}
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"theme": ""
},
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"landingPage": "https://imagery-amerigeoss.opendata.arcgis.com/datasets/amerigeoss::imagery-landsat-pansharpened-on-aws",
"title": "Imagery-Landsat Pansharpened on AWS",
"description": "Multispectral Landsat 8 OLI Image Service covering the landmass of the World. This service includes 8-band multispectral scenes, at 30 meter resolution. It can be used for mapping and change detection of agriculture, soils, vegetation health, water-land features and boundary studies. Using on-the-fly processing, the raw DN values are transformed to scaled (5000 - 55000) apparent reflectance values and then different service based renderings for band combinations and indices are applied. The service is updated on a daily basis to include the latest best scenes from the USGS.",
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],
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"modified": "2018-11-09T01:30:39.000Z",
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"license": "",
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},
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"accessURL": "https://landsat2.arcgis.com/arcgis/rest/services/Landsat/PS/ImageServer"
}
],
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},
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"identifier": "https://www.arcgis.com/home/item.html?id=cbb4f1be0875432fafdd90bd5bc5ab3f",
"landingPage": "https://imagery-amerigeoss.opendata.arcgis.com/datasets/amerigeoss::imagery-landsat-shaded-basemap",
"title": "Imagery-Landsat Shaded Basemap",
"description": "Natural color, 15-meter resolution pansharpened Landsat imagery, enhanced with topographic hillshading and color balancing. \n\nTime Enabled: No.\n\nSource: GLS datasets are created by the U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) using GLS2000 Landsat images. These global minimal-cloud cover, orthorectified Landsat data products support global assessments of land-cover, land cover-change, and ecosystem dynamics such as disturbance and vegetation health.\n",
"keyword": [
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"issued": "2018-03-23T15:24:18.000Z",
"modified": "2018-11-09T01:30:39.000Z",
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"accessURL": "https://imagery-amerigeoss.opendata.arcgis.com/datasets/amerigeoss::imagery-landsat-shaded-basemap"
},
{
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"title": "ArcGIS GeoService",
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"accessURL": "https://imagery.arcgisonline.com/arcgis/rest/services/LandsatGLS/LandsatShadedBasemap/ImageServer"
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],
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{
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"identifier": "https://www.arcgis.com/home/item.html?id=f63085088ece4619bafebb5411899265",
"landingPage": "https://imagery-amerigeoss.opendata.arcgis.com/apps/amerigeoss::imagery-landsat-8-agriculture-analysis",
"title": "Imagery-Landsat 8 Agriculture Analysis",
"description": "{{description}}",
"keyword": [
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],
"issued": "2018-03-23T16:13:48.000Z",
"modified": "2018-11-09T01:30:39.000Z",
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},
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"identifier": "https://www.arcgis.com/home/item.html?id=f5c90a30af9d4e60a9aa384b8888498b",
"landingPage": "https://imagery-amerigeoss.opendata.arcgis.com/apps/IVT::sentinel-2-explorer-2018",
"title": "Sentinel-2 Explorer 2018",
"description": "This is a 13-band multispectral image service application that's part of the Living Atlas of the World on ArcGIS Online. It's also multi-temporal with a 5 day revisit time and includes the last 14 months of available imagery. It's updated daily with the latest imagery. The source imagery is hosted on AWS S3 in Franfurt. Anyone with an ArcGIS subscription has access to the service and does not use credits.