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The USGS National Climate Change and Wildlife Science Center (NCCWSC), as part of the work of the Interagency Land Management Adaptation Group (ILMAG), initiated a project in 2013 to develop plans for a searchable, public registry on climate change vulnerability assessments. Member agencies from the USGCRP Adaptation Science Work Group, the Association of Fish and Wildlife Agencies (AFWA), and several NGO’s also contributed. Vulnerability assessments are important for identifying resources that are most likely to be affected by climate change and providing insights on why certain resources are vulnerable. Consequently, they provide valuable information for informing climate change adaptation planning. CRAVe allows...
Whooping cranes (Grus americana) of the Aransas-Wood Buffalo population migrate twice each year through the Great Plains in North America. Recovery activities for this endangered species include providing adequate places to stop and rest during migration, which are generally referred to as stopover sites. To assist in recovery efforts, initial estimates of stopover site use intensity are presented, which provide opportunity to identify areas across the migration range used more intensively by whooping cranes. We used location data acquired from 58 unique individuals fitted with platform transmitting terminals that collected global position system locations. Radio-tagged birds provided 2,158 stopover sites over 10...
The Great Plains Landscape Conservation Cooperative (GPLCC, http://www.greatplainslcc.org/) is a partnership that provides applied science and decision support tools to assist natural resource managers conserve plants, fish and wildlife in the mid- and short-grass prairie of the southern Great Plains. It is part of a national network of public-private partnerships — known as Landscape Conservation Cooperatives (LCCs, http://www.fws.gov/science/shc/lcc.html) — that work collaboratively across jurisdictions and political boundaries to leverage resources and share science capacity. The Great Plains LCC identifies science priorities for the region and helps foster science that addresses these priorities to support wildlife...
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To assess the current topography of the tidal marshes we conducted survey-grade elevation surveys at all sites between 2009 and 2013 using a Leica RX1200 Real Time Kinematic (RTK)Global Positioning System (GPS) rover (±1 cm horizontal, ±2 cm vertical accuracy; Leica Geosystems Inc., Norcross, GA; Figure 4). At sites with RTK network coverage (San Pablo, Petaluma, Pt. Mugu, and Newport), rover positions were received in real time from the Leica Smartnet system via a CDMA modem (www.lecia-geosystems.com). At sites without network coverage (Humboldt, Bolinas, Morro and Tijuana), rover positions were received in real time from a Leica GS10 antenna base station via radio link. When using the base station, we adjusted...
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The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes...
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The ecologically-relevant geophysical (ERGo) landforms dataset is a comprehensive classification of landforms based on hillslope position and dominant physical processes that covers most of North America. Four hillslope positions form a natural sequence of topographic units along the catena: ridges/peaks (summits), upper slopes (shoulders), lower slopes (foot slopes), and valley bottoms (toe slopes). The position within each of these hillslopes as a function of solar orientation to reflect how ecological processes (especially soil moisture and evapotranspiration) are influenced by insolation. Also included are very flat (i.e. areas 50°). We provide these data here at 30 m resolution, grouped by Landscape Conservation...
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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 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.
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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.
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Future climates are simulated by general circulation models (GCM) using climate change scenarios (IPCC 2014). To project climate change for the sagebrush biome, we used 11 GCMs and two climate change scenarios from the IPCC Fifth Assessment, representative concentration pathways (RCPs) 4.5 and 8.5 (Moss et al. 2010, Van Vuuren et al. 2011). RCP4.5 scenario represents a future where climate policies limit and achieve stabilization of greenhouse gas concentrations to 4.5 W m-2 by 2100. RCP8.5 scenario might be called a business-as-usual scenario, where high emissions of greenhouse gases continue in the absence of climate change policies. The two selected time frames allow comparison of near-term (2020-2050) and longer-term...


map background search result map search result map National Land Cover Database 2006 for Colorado and New Mexico Land Surface Forms for the Great Plains Landscape Conservation Cooperative Development of the Climate Registry for the Assessment of Vulnerability (CRAVe): A Searchable, Public Online Tool for Understanding Species and Habitat Vulnerability TIGER/Line Shapefile, 2013, county, Lemhi County, ID, All Roads County-based Shapefile Vhg: terrestrially-defined vulnerability, biome velocity for Great Northern LCC Vtw: hydrologically-defined vulnerability, temperature change for Great Northern LCC Ecologically-relevant landforms for Plains and Prairie Potholes LCC Tijuana: Tidal Marsh Digital Elevation Model Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T3 from 1976 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P1 from 1977 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P4 from 1977 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T3 from 1979 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P8 from 1988 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P11 from 16 July 1998 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P8 from 14 July 1999 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T9 from 2000 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T9 from 2010 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands P8 and T1 from 2015 Precipitation (Proportion July - Sep) - 2020-2050 - RCP8.5 - Min Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T3 from 1976 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T3 from 1979 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P4 from 1977 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T9 from 2010 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T9 from 2000 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P8 from 1988 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P8 from 14 July 1999 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P1 from 1977 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands P8 and T1 from 2015 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P11 from 16 July 1998 Tijuana: Tidal Marsh Digital Elevation Model TIGER/Line Shapefile, 2013, county, Lemhi County, ID, All Roads County-based Shapefile National Land Cover Database 2006 for Colorado and New Mexico Land Surface Forms for the Great Plains Landscape Conservation Cooperative Ecologically-relevant landforms for Plains and Prairie Potholes LCC Vhg: terrestrially-defined vulnerability, biome velocity for Great Northern LCC Vtw: hydrologically-defined vulnerability, temperature change for Great Northern LCC Precipitation (Proportion July - Sep) - 2020-2050 - RCP8.5 - Min Development of the Climate Registry for the Assessment of Vulnerability (CRAVe): A Searchable, Public Online Tool for Understanding Species and Habitat Vulnerability