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ABoVE: Surface Water Extent, Boreal and Tundra Regions, North America, 1991-2011
https://cmr.earthdata.nasa.gov/search/concepts/C2162118169-ORNL_CLOUD.xmlDescription:This data set provides the location and extent of surface water (open water not including vegetated wetlands) for the entire Boreal and Tundra regions of North America for three epochs, centered on 1991, 2001, and 2011. Each of the products were generated with at least three years of ice-free Landsat imagery. The data are at 30-m resolution and were derived from time series of Landsat 4 and 5 Thematic Mapper (TM) data and Landsat 7 Enhanced Thematic Mapper (ETM+) covering all of Alaska and all provinces of Canada. The overall goal was to generate a map of the nominal extent of water for a given epoch, where nominal is neither the maximum nor the minimum but rather a representative extent for that time period.
Links: Temporal Extent: Spatial Extent:Minimum Bounding Rectangle: 41.7 -177.48 82.37 -53.94ORNL_CLOUD Short Name: Decadal_Water_Maps_1324 Version ID: 1.1 Unique ID: C2162118169-ORNL_CLOUD
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Alabama Remote Sensing Archive Multispectral Imagery of Alabama from Landsat and Skylab
https://cmr.earthdata.nasa.gov/search/concepts/C1214584460-SCIOPS.xmlDescription:Multispectral imagery of the state of Alabama is available from the Geological Survey of Alabama for the time period of 1972-1984. Imagery from the Landsat multispectral scanner (MSS) is available as prints or transparencies for all bands (with selected color composites avaliable) at an approximate scale of 1:1,000,000. MSS data is collected in four spectral bands ranging from 0.5 to 1.1 micrometer with a ground resolution of about 80m. Images available from Skylab 3 and 4 include 9 x 9 prints and transparencies at 1:750,000 (skylab 3) and 1:500,000 (skylab 4). These images were taken in 1973 and are along three tracks; northeast from New Orleans, LA to South Carolina, northeast from Pensacola, FL to Columbus, GA, and from Pearl River, Jackson MI to Pensacola, FL. The multispectral photographic facility onboard Skylab provided imagery in several wavelength bands ranging from 0.5 to 0.9 Micrometers. This camera system provided ground resolution of approximately 40 m in visible wavelengths to 75 m in the infrared. A variety of high and low altitude aircraft imagery of Alabama is also available from the Geological Survey of Alabama. Microfiche images of MSS/TM imagery of North America since 1986 (landsat browse imagery) are also available. Similar imagery for other locations and time periods is available from the Eros Data Center.
Links: Temporal Extent: Spatial Extent:Minimum Bounding Rectangle: 24 -92 35 -80SCIOPS Short Name: ZZZ302 Version ID: Not provided Unique ID: C1214584460-SCIOPS
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Amanda Bay Satellite Image Map 1:100 000
https://cmr.earthdata.nasa.gov/search/concepts/C1214311750-AU_AADC.xmlDescription:Satellite image map of Amanda Bay, Antarctica. This map was produced for the Australian Antarctic Division by AUSLIG (now Geoscience Australia) Commercial, in Australia, in 1991. The map is at a scale of 1:100 000, and was produced from Landsat 4 TM imagery (124-108, 124-109). It is projected on a Transverse Mercator projection, and shows traverses/routes/foot track charts, glaciers/ice shelves, penguin colonies, stations/bases, runways/helipads, and gives some historical text information. The map has both geographical and UTM co-ordinates.
Links: Temporal Extent: Spatial Extent:Minimum Bounding Rectangle: -70 75 -69 78AU_AADC Short Name: amanda_bay_sat Version ID: 1 Unique ID: C1214311750-AU_AADC
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Arctic National Wildlife Refuge (ANWR) Data Base, U.S. Fish and Wildlife Service, Alaska
https://cmr.earthdata.nasa.gov/search/concepts/C2231553077-CEOS_EXTRA.xmlDescription:The Arctic National Wildlife Refuge (ANWR) is the most northern and one of the largest Refuges within America's National Wildlife Refuge System. The Arctic Refuge is managed by the U.S. Fish and Wildlife Service, U.S. Department of the Interior. The USFWS ANWR site contains information and data on wildlife, habitat, and people in the Arctic Refuge. The Refuge is home to more than 160 bird species, 36 kinds of land mammals, nine marine mammal species, and 36 types of fish. The ANWR geological and land surface databases are available from the Alaska Geospatial Data Clearinghouse (AGDC) at "http://agdc.usgs.gov/data/projects/anwr/webhtml/" The data consists of political boundaries and coastlines, land cover and vegetation maps, rivers, streams and wetlands, elevation contours, satellite images (Landsat-MSS and Landsat-TM), surficial geology, and coastal bathymetry as well as Alaska statewide land characterization and geospatial data.
Links: Temporal Extent: Spatial Extent:Minimum Bounding Rectangle: 53 -180 74 -130CEOS_EXTRA Short Name: EARTH_LAND_USFWS_AK_Wildlife1 Version ID: Not provided Unique ID: C2231553077-CEOS_EXTRA
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BOREAS Landsat MSS Imagery: Digital Counts
https://cmr.earthdata.nasa.gov/search/concepts/C2928014125-ORNL_CLOUD.xmlDescription:A set of MSS images from Landsat satellites 1, 2, 4 and 5 covering the dates of 21-Aug-1972 to 05-Sep-1988.
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Minimum Bounding Rectangle: 53.42 -106.32 56.25 -97.23ORNL_CLOUD Short Name: lsatmssd_435 Version ID: 1 Unique ID: C2928014125-ORNL_CLOUD
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BOREAS Landsat TM Level-3a Imagery: Scaled At-Sensor Radiance in BSQ Format
https://cmr.earthdata.nasa.gov/search/concepts/C2927613321-ORNL_CLOUD.xmlDescription:For BOREAS, the level-3A Landsat TM data, along with the other remotely sensed images, were collected in order to provide spatially extensive information over the primary study areas. This information includes radiant energy, detailed land cover, and biophysical parameter maps such as fPAR and LAI. Geographically, the level-3a images cover the BOREAS NSA and SSA. Temporally, the images cover the period of 22-Jun-1984 to 30-Jul-1996. The images are available in binary, image-format files.
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Minimum Bounding Rectangle: 53.42 -106.23 56.25 -97.23ORNL_CLOUD Short Name: ltm_ii3a_280 Version ID: 1 Unique ID: C2927613321-ORNL_CLOUD
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CALFIN Subseasonal Greenland Glacial Terminus Positions V001
https://cmr.earthdata.nasa.gov/search/concepts/C2116307977-NSIDC_ECS.xmlDescription:This data set contains shapefiles of Greenland’s glacial termini and basins for the years 1972 to 2019. These vector data were created from Landsat 1-8 satellite imagery using the Calving Front Machine (CALFIN) an automated processing workflow utilizing neural networks for extracting calving fronts from satellite images of marine-terminating glaciers.
Links: Temporal Extent: Spatial Extent:Minimum Bounding Rectangle: 60 -75 80 -15NSIDC_ECS Short Name: NSIDC-0764 Version ID: 1 Unique ID: C2116307977-NSIDC_ECS
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Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005
https://cmr.earthdata.nasa.gov/search/concepts/C2773245356-ORNL_CLOUD.xmlDescription:This data set provides land use and land cover (LULC) classification products at 100-m resolution for India at decadal intervals for 1985, 1995 and 2005. The data were derived from Landsat 4 and 5 Thematic Mapper (TM), Enhanced Thematic Mapper Plus (ETM+), and Multispectral (MSS) data, India Remote Sensing satellites (IRS) Resourcesat Linear Imaging Self-Scanning Sensor-1 or III (LISS-I, LISS-III) data, ground truth surveys, and visual interpretation. The data were classified according to the International Geosphere-Biosphere Programme (IGBP) classification scheme.
Links: Temporal Extent: Spatial Extent:Minimum Bounding Rectangle: 6.71 66.31 36.32 98.93ORNL_CLOUD Short Name: Decadal_LULC_India_1336 Version ID: 1 Unique ID: C2773245356-ORNL_CLOUD
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ESA Lakes Climate Change Initiative (Lakes_cci): Lake products, Version 1.1
https://cmr.earthdata.nasa.gov/search/concepts/C2548142828-FEDEO.xmlDescription:This dataset contains various global lake products (1992-2019) produced by the European Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) project. This is version 1.1 of the dataset.Lakes are of significant interest to the scientific community, local to national governments, industries and the wider public. A range of scientific disciplines including hydrology, limnology, climatology, biogeochemistry and geodesy are interested in distribution and functioning of the millions of lakes (from small ponds to inland seas), from the local to the global scale. Remote sensing provides an opportunity to extend the spatio-temporal scale of lake observation. The five thematic climate variables included in this dataset are:⢠Lake Water Level (LWL): a proxy fundamental to understand the balance between water inputs and water loss and their connection with regional and global climate changes.⢠Lake Water Extent (LWE): a proxy for change in glacial regions (lake expansion) and drought in many arid environments, water extent relates to local climate for the cooling effect that water bodies provide.⢠Lake Surface Water temperature (LSWT): correlated with regional air temperatures and a proxy for mixing regimes, driving biogeochemical cycling and seasonality. ⢠Lake Ice Cover (LIC): freeze-up in autumn and advancing break-up in spring are proxies for gradually changing climate patterns and seasonality. ⢠Lake Water-Leaving Reflectance (LWLR): a direct indicator of biogeochemical processes and habitats in the visible part of the water column (e.g. seasonal phytoplankton biomass fluctuations), and an indicator of the frequency of extreme events (peak terrestrial run-off, changing mixing conditions).Data generated in the Lakes_cci project are derived from data from multiple instruments and multiple satellites including; TOPEX/Poseidon, Jason, ENVISAT, SARAL, Sentinel, Landsat, ERS, Terra/Aqua, Suomi NPP, Metop and Orbview. For more information please see the product user guide in the documents.
Links: Temporal Extent: Spatial Extent:Minimum Bounding Rectangle: -90 -180 90 180FEDEO Short Name: ef1627f523764eae8bbb6b81bf1f7a0a Version ID: NA Unique ID: C2548142828-FEDEO
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GFOI_Borneo_Island
https://cmr.earthdata.nasa.gov/search/concepts/C2231555055-CEOS_EXTRA.xmlDescription:The Global Forest Observations Initiative (GFOI) is an initiative of the inter-governmental Group on Earth Observations (GEO) that aims to:foster the sustained availability of observations for national forest monitoring systems; support governments that are establishing national systems by providing a platform for coordinating observations, providing assistance and guidance on utilising observations, developing accepted methods and protocols, and promoting ongoing research and development; and work with national governments that report into international forest assessments (such as the global Forest Resources Assessment (FRA) of the Food and Agriculture Organization, FAO) and the national greenhouse gas inventories reported to the UN Framework Convention on Climate Change (UNFCCC) using methods of the Intergovernmental Panel on Climate Change (IPCC).
Links: Temporal Extent: Spatial Extent:Minimum Bounding Rectangle: 1 114 1 114CEOS_EXTRA Short Name: GFOI_Boreno_Island Version ID: Not provided Unique ID: C2231555055-CEOS_EXTRA
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