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This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It provides a measure of vulnerability based on temperature change using a watershed-based analysis. The values range from 0 to 1 and are unitless, where Vtw = Et x (1-Aw). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Great Northern LCC,
LCCVP,
WorldClim,
exposure,
terrestrial,
This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It provides a measure of vulnerability based on biome velocity and using a terrestrial (moving window) anlaysis. The values range from 0 to 1 and are unitless, where Vhg = Eh x (1-Ag). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Great Northern LCC,
LCCVP,
biomes,
climate velocity,
vulnerability assessment
This dataset contains a point cloud and orthophoto of the Curtis Lake North area, Mushroom Rock region, northeastern California created using structure-from-motion. It is Dataset S1 in the related manuscript.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Northeastern California,
fault,
structure from motion,
volcanic rocks
This dataset contains a point cloud and orthophoto of the Nelson Slides area, Mushroom Rock region, northeastern California created using structure-from-motion. It is Dataset S3 in the related manuscript.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Northeastern California,
fault,
structure from motion,
volcanic rocks
Live tree species basal area from 2000 - 2009 for loblolly pine (Pinus taeda), longleaf pine (Pinus palustris), shortleaf pine (Pinus echinata), and slash pine (Pinus elliottii) clipped to the Gulf Coastal Plains and Ozarks LCC geography.Data were derived from the USFS live tree species basal area of the contiguious United States (2000-2009) Wilson, Barry T.; Lister, Andrew J.; Riemann, Rachel I.; Griffith, Douglas M. 2013. Live tree species basal area of the contiguous United States (2000-2009). Newtown Square, PA: USDA Forest Service, Northern Research Station. Abstract from html metadata for USFS live tree species basal area of the contiguious United States (2000-2009). This data product contains raster maps...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: BIOSPHERE,
BIOSPHERE,
Basal Area,
Conservation planning,
Data,
This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It provides a measure of vulnerability based on climate velocity using a terrestrially-based analysis. The values range from 0 to 1 and are unitless, where Vvg = Ev x (1-Ag). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Great Northern LCC,
LCCVP,
climate velocity,
terrestrial,
vulnerability assessment
This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It represents terrestrially-defined adaptive capacity, where values run from 0 to 1.0 and is calculated as the complement of the degree of human modification (1-H). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Great Northern LCC,
LCCVP,
WorldClim,
exposure,
terrestrial,
One of the largest hydraulic mines (1.6 km2) is located in California’s Sierra Nevada within the Humbug Creek watershed and Malakoff Diggins State Historic Park (MDSHP). MDSHP’s denuded and dissected landscape is composed of weathered Eocene auriferous sediments susceptible to chronic rill and gully erosion whereas block failures and debris flows occur in more cohesive terrain. This data release includes a 1992 digital surface model (DSM), 1992 orthophoto mosaic, masked orthophoto of the study area, 1992 ground cover classification, and 1992 pruned DSM with the vegetation bias removed. Stereo-photogrammetry was used to create a 1992 digital surface model (DSM) and orthophoto mosaic from archived 1992 aerial photographs....
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: Geomorphology,
Malakoff Diggins State Historic Park,
Raster digital surface models,
USGS Science Data Catalog (SDC),
erosion,
This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It provides a measure of vulnerability based on climate velocity using a watershed-based analysis. The values range from 0 to 1 and are unitless, where Vvw = Ev x (1-Aw). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Great Northern LCC,
LCCVP,
climate velocity,
vulnerability assessment,
watersheds
This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It is an exposure variable that represents the temperature change (degrees C) from baseline (1950-2000) to future (2061-2080).
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Exposure,
Great Northern LCC,
LCCVP,
WorldClim,
vulnerability assessment
This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It is an exposure variable that represents the climate velocity for Rehfeldt biome-habitat types (from 2000 to 2060), where units are in km/year.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Great Northern LCC,
LCCVP,
adaptive capacity,
degree of human modification,
landscape integrity,
Structure-from-Motion model for the Red Mountain area, Mushroom Rock region, northeastern California
This dataset contains a point cloud and orthophoto of the Red Mountain area in the Mushroom Rock region of northeastern California. It is Dataset S2 in the related manuscript.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Northeastern California,
fault,
structure from motion,
volcanic rocks
This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It represents terrestrially-defined adaptive capacity, where values run from 0 to 1.0 and is calculated as the complement of the degree of human modification (1-H). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Great Northern LCC,
LCCVP,
adaptive capacity,
degree of human modification,
landscape integrity,
This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It represents hydrologically-defined adaptive capacity, where values run from 0 to 1.0 and is calculated as the complement of the degree of human modification (1-H), and are then averaged using hierarchical watersheds. The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Great Northern LCC,
LCCVP,
adaptive capacity,
degree of human modification,
landscape integrity,
This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It is an exposure variable that represents the climate velocity (km/year) which is computed as the mean rate of change in temperature over time (future-baseline; degrees C/km) divided by the rate of temperature change over space (degrees C/km).
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Great Northern LCC,
LCCVP,
WorldClim,
climate velocity,
exposure,
This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It represents a combined measure of physiographic diversity (EH) and terrestrially-defined adaptive capacity (Ag). Values run from 0 to 1.0 and is calculated as: Agp = EH x Ag. The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Great Northern LCC,
LCCVP,
adaptive capacity,
degree of human modification,
landscape integrity,
This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It provides a measure of vulnerability based on biome velocity and using hydrological-based analysis (hierarchical watersheds). The values range from 0 to 1 and are unitless, where Vhw = Eh x (1-Aw). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Great Northern LCC,
LCCVP,
biomes,
vulnerability assessment,
watershed
This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It is an exposure variable that represents the physiographic diversity of landforms and parent material that is unitless, and then normalized, run from 0 to 1.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Great Northern LCC,
LCCVP,
ecologically-relevant landforms,
exposure,
land facets,
This dataset is one of a dozen or so datasets that provide the basis for a vulnerability assessment of the Great Northern LCC that examines land use and climate changes at landscape scales, for the full LCC boundary. It represents terrestrially-defined adaptive capacity, where values run from 0 to 1.0 and is calculated as the complement of the degree of human modification (1-H). The original floating point values ranging from 0-1.0 were multiplied by 100 and converted to integer format for this dataset.
Categories: Data;
Types: Citation,
Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Great Northern LCC,
LCCVP,
adaptive capacity,
degree of human modification,
landscape integrity,
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: Land Use Land Cover,
West Africa
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