EarthExplorerUse 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.Earth Explorer Distribution DownloadThe 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.Link: https://earthexplorer.usgs.gov/

Raw aerial photography, orthorectified imagery, point cloud data, and digital elevation models (DEMs) for Whiskeytown National Recreation Area (NRA) following the Carr Fire. Sites within the NRA include: Lower Crystal Creek, Tower House, Grizzly Gulch, Boulder Creek South Shore and Conifer, Brandy Creek Camp, Shasta Divide, Paige Bar (North, NEED Camp, East, and Southeast), Chinese Laundry, and Coggins Park. Imagery was collected with two sensors (Ricoh GR II and MicaSense RedEdge) on a quadcopter flown at 400 feet above ground level immediately following the Carr Fire (October 2018) and 8-9 months after the fire (May and June 2019). Due to access, not all sites were flown during both collection periods. U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center UAS data is available from Earth Explorer. To access: 1) Log in to https://earthexplorer.usgs.gov 2) Search for imagery by downloading the KMZ file below and selecting it within the KML tab in the Search Criteria (on Earth Explorer). 3) Specify a date range if searching for imagery from a specific collection period. 4) Click on Data Sets and select UAS - Raw/Orttho/Point Cloud/DEM (desired imagery format). 5) Click on Results to view and download imagery.

This repository contains a suite of digital elevation models (DEMs), derived from aerial or satellite imagery, covering glacier and proglacial areas on Mount Rainier between 1960 and 2017. Data are available for the Emmons, Winthrop, Nisqually, and South Tahoma Glaciers and their associated proglacial areas. These data were used in Anderson and Shean (2021) to calculate DEMs of Difference (DoDs) and assess topographic change in these proglacial settings. Aerial lidar datasets used in that analysis are available through the Washington Department of Natural Resources lidar repository (https://lidarportal.dnr.wa.gov/). The DEMs stored here have been coregistered to the 2008 Mount Rainier aerial lidar dataset. Differencing of sequential DEMs will exactly reproduce DoDs used in Anderson and Shean (2021); shapefiles defining exact areas of analysis used to generate final change volumes are also available in a separate child item of this repository. DEMs are separated by glacier/basin and year, indicated in the file name. In several instances, the Winthrop and Emmons study areas contained continuous overlapping photos and were processed together. Each zip file includes a DEM in TIF format with associated supporting files. Zip files for DEMs generated using Agisoft Photoscan (all except the 2017 DEMs) also include a processing report that summarizes imagery and ground control inputs as well as processing parameters used in their generation. Imagery source information: The majority of the aerial imagery used to derive these DEMs was collected by the U.S. Geological Survey (USGS) and later scanned and publicly archived by Nolan et al. (2017). Images are available at doi:10.18739/A21R9G. Imagery from 1951 and 1961 are available through the USGS EarthExplorer repository (https://earthexplorer.usgs.gov/). Imagery of the Emmons and Nisqually from 2005 were collected by the National Park Service and scanned from negatives for this project. Imagery of South Tahoma Glacier from 1960 were collected by the U.S. Geological Survey; print images held at Mount Rainier National Park were scanned for this project.

This is a tiled collection of the 3D Elevation Program (3DEP) and is one meter resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. USGS standard one-meter DEMs are produced exclusively from high resolution light detection and ranging (lidar) source data of one-meter or higher resolution. One-meter DEM surfaces are seamless within collection projects, but, not necessarily seamless across projects. The spatial reference used for tiles of the one-meter DEM within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 ...

Abstract

This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied.

Landsat TM, and ETM+ data are provided in GeoTIFF for Level 1T (terrain corrected) products, or for either Level 1Gt (systematic terrain corrected) or Level 1G (systematic corrected) products, if Level 1T processing is not available. GeoTIFF defines a set of publicly available TIFF tags that describe cartographic and geodetic information associated with TIFF images. GeoTIFF is a format that enables referencing a raster image to a known geodetic model or map projection.

The initial tags are followed by image data that, in turn, may be interrupted by more descriptive tags. By using the GeoTIFF format, both metadata and image data can be encoded into the same file. The Landsat 7 ETM+ GeoTIFF file format is described in detail in the"Landsat 7 ETM+ Level 1 Product Data Format Control Book (DFCB), LSDS-272": http://landsat.usgs.gov/documents/LSDS-272.pdf. The Landsat 4-5 TM GeoTIFF file format is described in detail in the "Landsat Thematic Mapper (TM) Level 1 (L1) Data Format Control Book (DFCB), LS-DFCB-20": http://landsat.usgs.gov/documents/LS-DFCB-20.pdf.

For more information on GeoTIFF visit: http://trac.osgeo.org/geotiff

Dataset History

ORGANIZATION

Each band of Landsat data in the GeoTIFF format is delivered as a grayscale, uncompressed, 8-bit string of unsigned integers. A metadata (MTL) file is included with data processed through the Level-1 Product Generation System (LPGS). A file containing the ground control points (GCP) used during image processing is also included. A processing history (WO) file is included with data processed through the National Landsat Archive Production System (NLAPS). Landsat 7 ETM+ SLC-off products processed after December 11, 2008, will include an additional directory (gap_mask) that contains a set of flat binary scan gap mask files (one per band). (Please note that the processing date and acquisition date are not necessarily the same.)

\* DATA FILE NAMES

The file naming convention for Landsat LPGS-processed GeoTIFF data

is as follows:

LMSppprrrYYYYDOYGSIVV_BN.TIF where:

 L      = Landsat 

 M      = Mission (E for ETM+ data; T for TM data; M for MSS)

 S      = Satellite (7 = Landsat 7, 5 = Landsat 5, 4 = Landsat 4)

 ppp     = starting path of the product

 rrr     = starting and ending rows of the product

 YYYY    = acquisition year

 DOY     = Julian date

 GSI     = Ground Station Identifier 

 VV     = 2 digit version number

 BN     = file type:

   B1     = band 1

   B2     = band 2

   B3     = band 3

   B4     = band 4

   B5     = band 5

   B6_VCID_1 = band 6L (low gain) (ETM+)

   B6_VCID_2 = band 6H (high gain) (ETM+)

   B6     = band 6 (TM and MSS)

   B7     = band 7 

   B8     = band 8 (ETM+)

   MTL    = Level-1 metadata

   GCP    = ground control points

 TIF     = GeoTIFF file extension

The file naming convention for Landsat NLAPS-processed GeoTIFF data

is as follows:

LLNppprrrOOYYDDDMM_AA.TIF where:

 LL     = Landsat sensor (LT for TM data)

 N      = satellite number

 ppp     = starting path of the product

 rrr     = starting row of the product

 OO     = WRS row offset (set to 00)

 YY     = last two digits of the year of 

        acquisition

 DDD     = Julian date of acquisition

 MM     = instrument mode (10 for MSS; 50 for TM)

 AA     = file type:

   B1     = band 1

   B2     = band 2

   B3     = band 3

   B4     = band 4

   B5     = band5

   B6     = band 6

   B7     = band 7

   WO     = processing history file 

 TIF     = GeoTIFF file extension

\* GAP MASKS

All Landsat 7 ETM+ SLC-off imagery processed on or after December 11, 2008, will include gap mask files. (Please note the difference between acquisition date and processing date, files dates are not necessarily the same.) The gap mask files are bit mask files showing the locations of the image gaps (areas that fall between ETM+ scans). One tarred and gzip-compressed gap mask file is provided for each band in GeoTIFF format. The file naming convention for gap mask files is identical to that described above for LPGS-processed GeoTIFF data, with "_GM" inserted before file type.

If gap mask files are not included with the data, a tutorial for creating them can be found at: http://landsat.usgs.gov/gap_mask_files_are_not_provided_can_I_create_my_own.php

\* README

The README_GTF.TXT (or README.GTF) is an ASCII text file and is this file.

\* READING DATA

Delivered via file transfer protocol (FTP): data files are tarred and g-zip compressed and will need to be unzipped and untarred before the data files can be used. UNIX systems should have the "gunzip" and "tar"

commands available for uncompressing and accessing the data. For PC users, free software can be downloaded from an online source. Otherwise, check your PC, as you may already have appropriate software available.

No software is included on this product for viewing Landsat data.

GENERAL INFORMATION and DOCUMENTATION

Landsat Project Information:

http://landsat.usgs.gov

Landsat data access:

\* USGS Global Visualization Viewer (GloVis): http://glovis.usgs.gov

\* USGS EarthExplorer: http://earthexplorer.usgs.gov

\* USGS LandsatLook Viewer: http://landsatlook.usgs.gov

\* Landsat International Ground Station (IGS) network:

         http://landsat.usgs.gov/about_ground_stations.php

FGDC metadata:

http://www.fgdc.gov/metadata

Data restrictions and citation:

https://lta.cr.usgs.gov/citation

\* National Snow and Ice Data Center (NSIDC)

Radarsat Antarctic Mapping Project (RAMP) elevation data citation:

Liu, H., K. Jezek, B. Li, and Z. Zhao. 2001.

Radarsat Antarctic Mapping Project digital elevation model version 2.

Boulder, CO: National Snow and Ice Data Center. Digital media.

For information on the data, please refer to the data set documentation

available at the following web site:

http://nsidc.org/data/nsidc-0082.html

PRODUCT SUPPORT

For further information on this product, contact USGS

EROS Customer Services:

Customer Services (ATTN: Landsat)

U.S. Geological Survey

Earth Resources Observation and Science (EROS) Center

47914 252nd Street

Sioux Falls, SD 57198-0001

Tel: 800-252-4547

Tel: 605-594-6151

Email: custserv@usgs.gov

For information on other products from USGS EROS:

http://eros.usgs.gov/ or https://lta.cr.usgs.gov/

For information on other USGS products:

http://ask.usgs.gov/

or call 1-888-ASK-USGS (275-8747)

DISCLAIMER

Any use of trade, product, or firm names is for descriptive

purposes only and does not imply endorsement by the U.S.

Government.

Publication Date: July 2014

Dataset Citation

U.S. Geological Survey (2014) SYD Landsat raw data v01. Bioregional Assessment Source Dataset. Viewed 18 June 2018, http://data.bioregionalassessments.gov.au/dataset/fe7aa98d-ea2a-48fc-bc09-1d5ce3a50246.

Translation from x,y coordinates to latitude and longitude for the "Landsat Satellite Surface Temperature v3" dataset. cdm_data_type=Grid comment=Attribute Accuracy Report: Satellite-derived orthorectified brightness temperature was measured within 0.1 degrees C for Landsat 8, 0.6 degrees C for Landsat 7, and 0.5 degrees C for Landsat 5. Satellite measurements were compared to in situ (buoy) surface temperatures from 2003 to 2019, and the bias between the RI DEM buoy temperatures and the satellite temperatures at the pixel of the buoys was removed from each satellite pixel. See https://www.usgs.gov/land-resources/nli/landsat/landsat-surface-reflectance?qt-science_support_page_related_con=0#qt-science_support_page_related_con for more information. Conventions=COARDS, CF-1.6, ACDD-1.3 defaultGraphQuery=Longitude[0:last][0:last][last]&.draw=surface&.vars=X|Y|Longitude history=Converted from Landsat 5, 7, and 8 Surface Reflectance geotiff products to netCDF. The units were changed from K to degrees C and the average bias determined through RI DEM buoy comparison in Narragansett Bay (2003-2019) to each satellite was removed from all scenes from the corresponding satellite. The errors were determined by using a K-fold cross-validation to minimize error at each satellite pixel. The scenes were also cloud masked, land masked, and stripes in Landsat 7 imagery (due to sensor failure) were masked as well. A buoy comparison was only conducted within Narragansett Bay for Landsat scenes with less than 50% cloud cover, and applied to available scenes back to 1984 for Landsat 5, 1999 for Landsat 7, and 2013 for Landsat 8. As a result, data uncertainties are unknown outside of the Narragansett Bay region, for scenes with greater cloud cover, and scenes before 2003. infoUrl=https://earthexplorer.usgs.gov/ accessed through https://code.earthengine.google.com/ institution=Rhode Island Data Discovery/United States Geological Survey publication=https://doi.org/10.26300/ja0b-xa86 references=Rhode Island Data Discovery/United States Geological Survey source=https://earthexplorer.usgs.gov/ accessed through https://code.earthengine.google.com/ sourceUrl=(local files) standard_name_vocabulary=CF Standard Name Table v55

The Advanced Spaceborne Thermal Emission and Reflection radiometer Global Emissivity Database (ASTER GED) was developed by the National Aeronautics and Space Administration's (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology. The North America portion of this collection was formerly called the North American ASTER Land Surface Emissivity Database (NAALSED) - a seasonal dataset consisting of mean summer (J-A-S) and winter (J-F-M) products.

ASTER GED products are output on 1degree x 1 degree grids at 100-meter or 1-kilometer spatial resolution (nominal) and include the mean emissivity and standard deviation for all 5 ASTER thermal infrared bands, mean land surface temperature (LST) and standard deviation, a re-sampled ASTER GDEM (not included in the North America Winter products), land-water mask, mean Normalized Difference Vegetation Index (NDVI) and standard deviation, latitude, longitude, and observation count.

Additional ASTER GED product information is available at https://lpdaac.usgs.gov/products/community_products_table. Product tiles are available in HDF and binary format and may be downloaded via HTTP by visiting the following data clients: NASA Reverb (http://reverb.echo.nasa.gov), LP DAAC Data Pool (http://e4ftl01.cr.usgs.gov/ASTT/), or EarthExplorer (http://earthexplorer.usgs.gov).

'On February 24, 1995, President Clinton signed an Executive Order, directing the declassification of intelligence imagery acquired by the first generation of United States photo-reconnaissance satellites, including the systems code-named CORONA, ARGON, and LANYARD. More than 860,000 images of Earth\'s surface, collected between 1960 and 1972, were declassified with the issuance of this Executive Order. The National Archives and Records Administration (NARA) was given the responsibility for the original film and provide access to a duplicate copy for public viewing of the film. The USGS was also provided a dupe copy to support science products. Both NARA and the USGS provide access and product support for Declass-1 collection. Online requests for these data can be placed via the EarthExplorer interactive query system. EarthExplorer contains metadata and online samples of Earth science data. With EarthExplorer, you may review metadata, determine product availability, and place onli ...

Defining site potential for an area establishes its possible long-term vegetation growth productivity in a relatively undisturbed state, providing a realistic reference point for ecosystem performance. Modeling and mapping site potential helps to measure and identify naturally occurring variations on the landscape as opposed to variations caused by land management activities or disturbances (Rigge et al. 2020). We integrated remotely sensed data (250-m enhanced Moderate Resolution Imaging Spectroradiometer (eMODIS) Normalized Difference Vegetation Index (NDVI) (https://earthexplorer.usgs.gov/)) with land cover, biogeophysical (i.e., soils, topography) and climate data into regression-tree software (Cubist®). We integrated these data to create a snapshot of spatially explicit predictions of shrub and grass site potential in the Upper Colorado River Basin (UCRB) in the western U.S. The predictions are limited to pixels classified by the 2016 National Land Cover Database (NLCD) as shrub or grassland/herbaceous (https://www.mrlc.gov). The site potential datasets will be incorporated as independent variables into mapping models that delineate statistically significant deviations between actual NDVI values and modeled NDVI values in the UCRB. Rigge, MB., Homer, C., Shi, H., Wylie, BK. 2020. Departures of rangeland fractional component cover and land cover from landsat-based ecological potential in Wyoming, USA. Rangeland Ecology & Management. DOI: 10.1016/j.rama.2020.03.009.

This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common files held here. Imagery can also be downloaded at: https://earthexplorer.usgs.gov The rectified, full-resolution orthoimages used to map vegetation for the Appalachian National Scenic Trail are now available through the USGS Earth Explorer imagery portal. They are housed under the "Data Set" tab, "Aerial Imagery" data, "High Resolution Orthoimagery" checkbox. If you have a specific site in mind you can search a geographic area, otherwise you may search for them in the "Dataset Name" field under the "Additional Criteria" tab using "appalachian_trail_appa" Digital 4-band—true-color and color-infrared—aerial imagery was acquired in the months of October during 3 years (2009–11) for the APPA vegetation mapping project using a plane-mounted digital camera. This set of imagery became the primary source for image interpretation and mapping. The aerial imagery was collected at a pixel resolution of 30.48 centimeters (centimeter measurement calculated from a standard 12-inch measurement). The goal of fall-dated imagery, particularly with the color infrared bands, was to capture peak leaf-phenology change of hardwood trees; thus, aiding mappers in viewing distinctions among various hardwood-forest types. With the AT corridor being nearly 3,525 kilometers in length, the aerial imagery mission was flown in segments over 3 years to capture peak-leaf phenology, after leaf color change but prior to leaf fall. Priority was given to peak-leaf phenology in the higher elevations to ensure that all forest species were in leaf-on status for viewing on computers to successfully complete fieldwork and mapping.

Digital aerial photographs of the Parker Valley region acquired in 1947, archived by the U.S. Geological Survey part of the USGS EROS Archive - Aerial Photography - Aerial Photo Single Frames collection (https://doi.org/10.5066/F7610XKM) with project identifier EU000 and downloaded from EarthExplorer (earthexplorer.usgs.gov).

Translation from x,y coordinates to latitude and longitude for the "Landsat Satellite Surface Temperature version 2, Narragansett Bay" dataset. cdm_data_type=Grid comment=Attribute Accuracy Report: Satellite-derived orthorectified brightness temperature was measured within 0.1 degrees C for Landsat 8, 0.6 degrees C for Landsat 7, and 0.5 degrees C for Landsat 5. Satellite measurements were compared to in situ (buoy) surface temperatures from 2003 to 2022, and the mean bias between the RI DEM buoy temperatures and the satellite temperatures at the pixel of the buoys was added to or subtrcted from all scenes by satellite. The standard deviation between the buoys and the satellite after adding the bias is 1.9 degrees C for Landsat 5, 1.9 degrees C for Landsat 7 and 1.3 degrees C for Landsat 8. The standard deviation is considered the uncertainty of the satellite measurements. See https://www.usgs.gov/land-resources/nli/landsat/landsat-surface-reflectance?qt-science_support_page_related_con=0#qt-science_support_page_related_con for more information. Conventions=COARDS, CF-1.6, ACDD-1.3 defaultGraphQuery=Longitude[0:last][0:last][last]&.draw=surface&.vars=X|Y|Longitude history=Converted from Landsat 5, 7, and 8 Surface Reflectance geotiff products to netCDF. The units were changed from K to degrees C and the average bias determined through RI DEM buoy comparison in Narragansett Bay (2003-2022) to each satellite was added to or subtracted from all scenes from the corresponding satellite. For Landsat 5, 0.45 degrees C was subtracted from all scenes; similarly 1.094 was subtracted for Landsat 7, and 0.178 was added for Landsat 8. The errors were determined by averaging the five closest temporal buoy readings for each satellite image capture and spatially averaging buoy locations within a 200-square-meter zone. The scenes were also cloud masked, land masked, and stripes in Landsat 7 imagery (due to sensor failure) were masked as well. A buoy comparison was only conducted within Narragansett Bay for Landsat scenes with less than 50% cloud cover, and applied to available scenes back to 1984 for Landsat 5, 1999 for Landsat 7, and 2013 for Landsat 8. As a result, data uncertainties are unknown outside of the Narragansett Bay region, for scenes with greater cloud cover, and scenes before 2003. infoUrl=https://earthexplorer.usgs.gov/ accessed through https://code.earthengine.google.com/ institution=Rhode Island Data Discovery/United States Geological Survey publication=https://doi.org/10.26300/ja0b-xa86 references=Rhode Island Data Discovery/United States Geological Survey source=https://earthexplorer.usgs.gov/ accessed through https://code.earthengine.google.com/ sourceUrl=(local files) standard_name_vocabulary=CF Standard Name Table v55

Aerial imagery was collected with an uncrewed aerial system (UAS) and used to construct a digital elevation model (DEM) and orthomosaic image using Structure-from-motion (SfM) photogrammetry for the Zuni Salt Lake in west-central New Mexico. The DEM and bathymetry surveys were combined to estimate lake water volume as a function of lake stage in the U.S. Geological Survey Scientific Investigations Report, "Sources of Water and Salts for the Zuni Salt Lake in West-Central New Mexico", https://doi.org/10.3133/sir20255057. Aerial imagery, DEM, and orthomosaic image are published by U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center. The data release contains instructions for users to access the aerial imagery, DEM, and orthomosaic image stored in EROS, a KMZ, and an orthomosaic cover photo for the Zuni Salt Lake. New user: 1) Go to https://earthexplorer.usgs.gov/ 2) Click on Register in upper right corner and complete User Registration. Registration w ...

This child data release provides the information needed to download from the USGS EarthExplorer portal digital orthophotos acquired during a tracer experiment performed on the Missouri River near Columbia, Missouri, on May 5, 2021. One of the primary goals of this tracer experiment was to assess the feasibility of inferring concentrations of a visible dye (Rhodamine WT) from various types of remotely sensed data in a large, highly turbid natural river channel. Previous research on remote sensing of tracer dye concentrations has focused on clear-flowing streams, but the Missouri River is much more turbid. As a result, the effect of the dye on the reflectance of the water could be obscured by the effects of suspended sediment on reflectance. This experiment thus provided an initial test of the potential to map dye concentrations from remotely sensed data in more turbid rivers like the Missouri. The experiment involved introducing a pulse of Rhodamine WT dye into the channel at an upstream transect and then observing the dispersion of the dye along the river using various in situ and remote sensing instruments. A flight contractor, Surdex Corporation, was enlisted to acquire digital orthophotography of the Missouri River area near Columbia MO, spanning the approximately 7 mile reach of the channel from river miles 176-183, during the experiment. Eight lines were flown starting around 9 am and flown 10 to 20 minutes apart, ending at 11:25 am central standard time. The images were captured with a Leica ADS100 Digital Mapping Camera. All survey ground control was also acquired and processed by Surdex, imagery was controlled using Airborne GPS/IMU technology on board the aircraft at the time of acquisition and processed against a stationary GPS base station. Four band digital imagery was processed and triangulated and then the imagery was fully orthorectfied and moaicked for 10cm digital orthophotography delivered as 4-band tiles. The resulting data set consists of orthophotos with a 10 cm pixel size. Surdex Corporation used the raw imagery to produce high resolution 10 cm 4-band (red, green, blue, and near-infrared) orthophotos for each of eight passes over the project area of interest. Tiled deliverable products were created from a custom tiling scheme consisting of 19 tiles for each of the eight flight lines and consist of 4 band tiff files with corresponding *.tfw world files. The data set delivered by the flight contractor was transferred to the USGS Earth Resources Observation and Science (EROS) Center for archiving and distribution via the EarthExplorer web portal at https://earthexplorer.usgs.gov. EROS also produced metadata describing the orthophotos in the file EROSmetadata.csv. The orthophotos can can be obtained by visiting the EarthExplorer web site at https://earthexplorer.usgs.gov/and using the Entity ID field in the EROSmetadata.csv file. On the EarthExplorer home page, go to the second tab of the panel on the left, labeled Data Sets, select Aerial Imagery/High Resolution Orthoimagery, and click on Additional Criteria at the bottom. On the Additional Criteria tab, click the plus symbol next to Entity ID, enter the Entity ID value from the EROSmetadata.csv file for the tile of interest, and click on Results at the bottom. The tile should then appear in the results tab with several options represented by icons to show the footprint, overlay a browse image, or show the metadata and browse in a separate window. To download the data, click on the fifth icon from the left, which features a green download arrow pointing toward a disk drive, and click Download on the resulting pop-up to begin downloading a zip file. This zip archive contains a number of files in two subfolders. For example, for line 1, tile 10: 1) 4023644_line1_10.zip\MO\2021\202106_missouri_river_dye_columbia_mo_10cm_utm15_cnir\index001 contains shapefiles of tile layouts and exposure times for each flight line and tile and the metadata and ortho accuracy reports from the flight contractor. The folder 2) 4023644_line1_10.zip\MO\2021\202106_missouri_river_dye_columbia_mo_10cm_utm15_cnir\vol001 has the actual image as a tif (like line1_10.tif) and corresponding *.tfw world file (like line1_10.tfw). These files can be opened and viewed in GIS or image processing software.

This database contains National Land Cover Database satellite images for the period 1985-2024 clipped to northern Door County, Wisconsin, USA. The images include all 20 NLCD land cover types, see the "NLCD Land Cover Groups" database for images with the 20 types grouped into urban, agricultural, natural, and other land cover groups. Each image covers 164,354 acres in 30 meter by 30 meter pixels. The coordinate reference system is Albers Equal Area WGS84. The images were downloaded at: https://earthexplorer.usgs.gov/. For details on the annual NLCD, see: https://www.usgs.gov/centers/eros/science/usgs-eros-archive-land-cover-annual-nlcd-collection-1-land-cover

'SPOT Controlled Image Base 10 meter (CIB-10) is a collection of orthorectified panchromatic (grayscale) images. The data were acquired between 1986 and 1993 by the French space agency, Centre National d\'Etudes Spatiales (CNES), which owns and operates the SPOT satellite system. The panchromatic images were orthorectified using NGA Digital Terrain Elevation Data Level 1 to remove image distortion and obtain the geometric qualities of a map. The satellite image mosaic products cover large areas of the United States, Europe, Middle East, Southeast Asia, North and South Korea, Central America, western Russia, and other smaller areas around the globe. The coverage map in EarthExplorer shows the extent of available data. '

Landsat-derived water surface in Mt. Hope Bay with K-fold bias correction from RI DEM buoys. For translation from the x,y coordinates to latitude and longitude see the "Landsat Satellite Coordinates v3 - Mt. Hope Bay" dataset. cdm_data_type=Grid comment=Attribute Accuracy Report: Satellite-derived orthorectified brightness temperature was measured within 0.1 degrees C for Landsat 8, 0.6 degrees C for Landsat 7, and 0.5 degrees C for Landsat 5. Satellite measurements were compared to in situ (buoy) surface temperatures from 2003 to 2019, and the bias between the RI DEM buoy temperatures and the satellite temperatures at the pixel of the buoys was removed from each satellite pixel. See https://www.usgs.gov/land-resources/nli/landsat/landsat-surface-reflectance?qt-science_support_page_related_con=0#qt-science_support_page_related_con for more information. Conventions=COARDS, CF-1.6, ACDD-1.3 defaultGraphQuery=temperature[0:last][0:last][last]&.draw=surface&.vars=X|Y|temperature description=Landsat-derived water surface in Mt. Hope Bay with K-fold bias correction from RI DEM buoys history=Converted from Landsat 5, 7, and 8 Surface Reflectance geotiff products to netCDF. The units were changed from K to degrees C and the average bias determined through RI DEM buoy comparison in Narragansett Bay (2003-2019) to each satellite was removed from all scenes from the corresponding satellite. The errors were determined by using a K-fold cross-validation to minimize error at each satellite pixel. The scenes were also cloud masked, land masked, and stripes in Landsat 7 imagery (due to sensor failure) were masked as well. A buoy comparison was only conducted within Narragansett Bay for Landsat scenes with less than 50% cloud cover, and applied to available scenes back to 1984 for Landsat 5, 1999 for Landsat 7, and 2013 for Landsat 8. As a result, data uncertainties are unknown outside of the Narragansett Bay region, for scenes with greater cloud cover, and scenes before 2003. infoUrl=https://earthexplorer.usgs.gov institution=Rhode Island Data Discovery/United States Geological Survey keywords_vocabulary=GCMD Science Keywords publication=https://doi.org/10.26300/ja0b-xa86 references=Rhode Island Data Discovery/United States Geological Survey source=https://earthexplorer.usgs.gov/ accessed through https://code.earthengine.google.com/ sourceUrl=(local files) standard_name_vocabulary=CF Standard Name Table v55 time_coverage_end=2022-09-29T00:00:00Z time_coverage_start=1984-05-02T00:00:00Z

Welcome to the LandsatLook Viewer!

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:

• Interactively explore the Landsat archive at up to full resolution directly from a common web browser
• Search for specific Landsat images based on area of interest, acquisition date, or cloud cover
• Compare image features and view changes through time
• Display configurable map information layers in combination with the Landsat imagery
• Create a customized image display and export as a simple graphic file
• View metadata and download the full-band source imagery
• Search by address or place, or zoom to a point, bounding box, or Sentinel-2 Tile or Landsat WRS-1 or WRS-2 Path/Row
• Generate and download a video animation of the oldest to newest images displayed in the viewer

We welcome feedback and input for future versions of this Viewer! Please provide your comments or suggestions .

This viewer provides visual and download access to the USGS LandsatLook "Natural Color" imageproduct archive.

The 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.

The 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.

The 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 .

LandsatLook 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 8 OLI = Bands 6,5,4
• Landsat 7 ETM+ and Landsat 4-5 TM = Bands 5,4,3
• Landsat 4-5 MSS = Bands 2,4,1

• 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 8 TIRS = Band 10
• Landsat 7 ETM+ = Band 61-high gain
• Landsat 4-5 TM = Band 6
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This data set contains 13 L1-calibrated scenes from the Hyperion hyperspectral sensor onboard the Earth Observing 1 (EO-1) mission, provided by NASA. All scenes are 242 bands and cropped to a standardised 256x1024 size, stored as raw 16-bit unsigned integers, in little endian byte order and in band-sequential (BSQ) order. This data was collected over a varied range of locations around the world between 2000 and 2017 and were obtained from the United States Geological Survey (USGS) Earth Explorer data portal https://earthexplorer.usgs.gov. Specific dates and locations of each scene may be identified using the ID code in the scene name. These scenes compose a test set to evaluate compression algorithms for hyperspectral data.

This product is a georectified and tonally balanced mosaic of digital aerial photographs of the Parker Valley region acquired in 1947 and archived by the U.S. Geological Survey as part of the USGS EROS archive - Aerial Photography - Aerial Photo Single Frames collection (https://doi.org/10.5066/F7610XKM) under project EU000. Photographs were downloaded from EarthExplorer (earthexplorer.usgs.gov). The mosaic is provided in both GeoTIFF and MrSID file formats.