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  • Arctic Alaska Vegetation, Geobotanical, Physiographic Maps, 1993-2005

    https://cmr.earthdata.nasa.gov/search/concepts/C1581605354-ORNL_DAAC.xml
    Description:

    This data set provides the spatial distributions of vegetation types, geobotanical characteristics, and physiographic features for the Arctic tundra region of Alaska for the period 1993-2005. Specific attributes include dominant vegetation, bioclimate subzones, floristic subprovinces, landscape types, lake coverage, and substrate chemistry. This data set generally includes areas North and West of the forest boundary and excludes areas that have a boreal flora such as the Aleutian Islands and alpine tundra regions south of treeline.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 57.08 -173.05 71.37 -138.54

    ORNL_DAAC Short Name: Alaska_Arctic_Tundra_Veg_Map_1353 Version ID: 1 Unique ID: C1581605354-ORNL_DAAC

  • Arctic National Wildlife Refuge (ANWR) Data Base, U.S. Fish and Wildlife Service, Alaska

    https://cmr.earthdata.nasa.gov/search/concepts/C1214584335-SCIOPS.xml
    Description:

    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 -130

    SCIOPS Short Name: EARTH_LAND_USFWS_AK_Wildlife1 Version ID: Not provided Unique ID: C1214584335-SCIOPS

  • Australian Land Cover Change data 1990-1995

    https://cmr.earthdata.nasa.gov/search/concepts/C1214611663-SCIOPS.xml
    Description:

    One hundred and fifty eight Landsat Thematic Mapper scenes for 1990 (1991 in the Australian Capital Territory, New South Wales and Queensland) and 1995 were used in conjunction with vegetation and a range of ancillary data sets by State agencies and BRS to establish: ?the extent of woody vegetation (native and exotic vegetation greater than or equal to two metres tall with greater than or equal to 20 percent crown cover) in Australia’s more intensively used agricultural areas in 1990/91; ?the rates of clearing of this woody vegetation and tree planting 1990/91-1995, and the reasons for clearing and planting; and ?the types and biomass of vegetation cleared. Remote sensing has provided a spatially accurate and reliable estimate of the rates of clearing 1990-1995 for the Northern Territory, South Australia, Tasmania, Victoria and Western Australia and for 1991-1995 for the Australian Capital Territory, New South Wales and Queensland. This information has enabled the revision of preliminary estimates of annual rates of clearing for woody vegetation for the early 1990s from around 517,800 ha to 308,000 ha. The results show that in 1990/91, 38 percent of the study area was still covered by woody vegetation. Comparison with Carnahan’s Natural Vegetation (1780s) data set indicates that around 70 percent of the study area was covered by woody vegetation at the time of European settlement; almost half of this woody vegetation (92.5 million ha) has been cleared since this time. This estimate does not include the clearing of grasslands, heathlands and sparse woodlands. Analysis of the satellite data showed that about 1,212,620 ha were cleared for agriculture (cropping), grazing and other activities, principally urban and infrastructure development over the study period. Clearing for grazing accounted for more than 50 percent of the total land cover change and 77 percent of the clearing which contributes to greenhouse gas emissions in the land use change sector of the National Greenhouse Gas Inventory. This clearing of 1,212,620 ha of native woody vegetation reduced the 1990/91 area of native woody vegetation cover by 1.1 percent. Annual rates of decrease and increase in woody vegetation were calculated using results from the satellite data for use in the National Greenhouse Gas Inventory. Estimated annual rates of decrease in woody vegetation for the continent due to clearing for agriculture and grazing total 292,030 ha. Clearing for development of roads and urban infrastructure added another 16,100 ha. Increases in woody vegetation (excluding that due to regeneration following fire and native forest harvesting) totalled 414,010 ha in the study period. Comparison of the estimated annual rates of loss of woody vegetation through clearing for agriculture, grazing and cropping and increases due to on-farm tree planting and plantation establishment show there was a net loss of native woody vegetation over the period 1990/91-1995. For the study area as a whole, Woodland (M2 — 47 percent), Low woodland (L2 — 28 percent) Open forest (M3 — 16 percent) and Tall shrubland (S2 — 7 percent were the major types of native woody vegetation cleared for agriculture, grazing and development 1990/91 - 1995. Estimated annual losses of aboveground biomass for the study area due to clearing for agriculture, grazing and development total 18.5 million tonnes of dry matter. Most of these losses were due to clearing in Queensland (88 percent). Clearing in New South Wales contributed seven percent, while clearing in Western Australia contributed three percent. Other States contributed one percent or less each. All areas of land cover change identified through analysis of the satellite data have been checked extensively by State agencies against aerial photography, other satellite or ancillary thematic data or through field work. An assessment of the land cover change results has been undertaken by independent consultants. It demonstrated that there were no significant differences between the States' results and those obtained by the consultants undertaking the assessment. A comparative analysis of the States' and consultant's results at the continental, State and scene levels showed that although the States used different image analysis approaches, their mapping of land cover change was very consistent. The four datasets available as ARC/INFO Grids in Albers Equal Area projection, namely: Land cover 1990/91 (LCT_90/LCT_91) Land cover change 1990/9-1995 (CHANGE) including TYPE and CAUSE of change Land cover 1995 (LCT_95) Structural and floristic vegetation 1990 (SV_90) including dominant SPECIES, Growth Form and CARNAHAN structural code The original 25m pixels have been resampled to 100m and 250m as State and national datasets respectively. The data are available on CD-ROM and from the Australian Natural Resources Data Library (&http://adl.brs.gov.au/anrdl/php/&). Documents and reports are also available for download in PDF format from the Greenhouse Sciences Web page under &http://www.daff.gov.au/brs/land&

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -44.005 112.505 -9.995 154.005

    SCIOPS Short Name: BRS_ALCC_1990-95 Version ID: Not provided Unique ID: C1214611663-SCIOPS

  • BOREAS Follow-On DSP-01 Landsat TM Land Cover Mosaic of the BOREAS Transect

    https://cmr.earthdata.nasa.gov/search/concepts/C179002881-ORNL_DAAC.xml
    Description:

    The objective of this land cover mosaic is to provide a data product that characterizes the detailed land cover of a significant portion of the BOREAS Region. Seven Landsat-5 TM images have been assembled to completely cover the BOREAS Transect.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 52 -107 57 -96

    ORNL_DAAC Short Name: dsp01_tm_588 Version ID: 1 Unique ID: C179002881-ORNL_DAAC

  • BOREAS Follow-On DSP-09 Moss Cover Classification at Three Area Scales

    https://cmr.earthdata.nasa.gov/search/concepts/C179002780-ORNL_DAAC.xml
    Description:

    BOREAS follow-on group DSP-9 mapped surface moss type at three scales (1 km, 30 m, and 10 m) based on observed associations between moss cover and land cover type.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 48 -111 60 -90

    ORNL_DAAC Short Name: dsp09_mosscover_595 Version ID: 1 Unique ID: C179002780-ORNL_DAAC

  • BOREAS Follow-On DSP-10 Reclassified Regridded TM Mosaic Land Cover Maps, 1994

    https://cmr.earthdata.nasa.gov/search/concepts/C179002872-ORNL_DAAC.xml
    Description:

    These images were produced by aggregating a reclassified version of the 30-m land cover Thematic Mapper classification by CCRS and are now available at multiple resolutions (10x5 minutes, and 30 minutes).

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 48 -111 60 -90

    ORNL_DAAC Short Name: dsp10_reclass_597 Version ID: 1 Unique ID: C179002872-ORNL_DAAC

  • BOREAS Follow-On DSP-10 Regridded Moss Cover Maps for 1994

    https://cmr.earthdata.nasa.gov/search/concepts/C179002743-ORNL_DAAC.xml
    Description:

    Existing 1-km moss cover classifications were reprocessed and are now available at multiple resolutions (2 km, 10x5 min, and 0.5 degree). These data were regridded for use by the BOREAS Follow-on Carbon and Hydro-Meteorological modeling groups to have a number of data sets available in common grid projections and scales for intercomparison studies.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 48 -111 60 -90

    ORNL_DAAC Short Name: dsp10_moss_cover_599 Version ID: 1 Unique ID: C179002743-ORNL_DAAC

  • BOREAS Follow-On DSP-10 Regridded TM Mosaic Land Cover Maps for 1994

    https://cmr.earthdata.nasa.gov/search/concepts/C179003601-ORNL_DAAC.xml
    Description:

    Existing 30-m land cover Thematic Mapper classification by CCRS was aggregated and reprocessed and are now available at multiple resolutions (10x5 minutes and 30 minutes).

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 48 -111 60 -90

    ORNL_DAAC Short Name: dsp10_tm_mosaic_602 Version ID: 1 Unique ID: C179003601-ORNL_DAAC

  • BOREAS Landsat MSS Imagery: Digital Counts

    https://cmr.earthdata.nasa.gov/search/concepts/C179003533-ORNL_DAAC.xml
    Description:

    A set of MSS images from Landsat satellites 1, 2, 4 and 5 covering the dates of 21-Aug-1972 to 05-Sep-1988.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 53.42 -106.32 56.25 -97.23

    ORNL_DAAC Short Name: BOREAS_LSATMSSD_435 Version ID: 1 Unique ID: C179003533-ORNL_DAAC

  • BOREAS Landsat TM Level-3a Imagery: Scaled At-Sensor Radiance in BSQ Format

    https://cmr.earthdata.nasa.gov/search/concepts/C1404660902-ORNL_DAAC.xml
    Description:

    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.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 53.42 -106.23 56.25 -97.23

    ORNL_DAAC Short Name: BOREAS_LTM_II3A_280 Version ID: 1 Unique ID: C1404660902-ORNL_DAAC