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"USDA has purchased a Enterprise Premium license for this Orthoimagery dataset from DigitalGlobe, Inc. Any government, education, not-for-profit agency and public/individuals not engaged in using the "Product for Commercial Exploitation or Commercial Purposes" can use this licensed data. Use of this product for Commercial Purposes by a person/company/organization for a profit or fee is strictly prohibited. Please refer to the separately attached license from DigitalGlobe, Inc. for additional information. Digital orthoimagery combines the image characteristics of a digital image with the geometric qualities of a map. The primary dynamic digital orthophoto is a 60 centimeter ground resolution, image cast to the customer...
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"USDA has purchased a Enterprise Premium license for this Orthoimagery dataset from DigitalGlobe, Inc. Any government, education, not-for-profit agency and public/individuals not engaged in using the "Product for Commercial Exploitation or Commercial Purposes" can use this licensed data. Use of this product for Commercial Purposes by a person/company/organization for a profit or fee is strictly prohibited. Please refer to the separately attached license from DigitalGlobe, Inc. for additional information. Digital orthoimagery combines the image characteristics of a digital image with the geometric qualities of a map. The primary dynamic digital orthophoto is a 60 centimeter ground resolution, image cast to the customer...
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"USDA has purchased a Enterprise Premium license for this Orthoimagery dataset from DigitalGlobe, Inc. Any government, education, not-for-profit agency and public/individuals not engaged in using the "Product for Commercial Exploitation or Commercial Purposes" can use this licensed data. Use of this product for Commercial Purposes by a person/company/organization for a profit or fee is strictly prohibited. Please refer to the separately attached license from DigitalGlobe, Inc. for additional information. Digital orthoimagery combines the image characteristics of a digital image with the geometric qualities of a map. The primary dynamic digital orthophoto is a 60 centimeter ground resolution, image cast to the customer...
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"USDA has purchased a Enterprise Premium license for this Orthoimagery dataset from DigitalGlobe, Inc. Any government, education, not-for-profit agency and public/individuals not engaged in using the "Product for Commercial Exploitation or Commercial Purposes" can use this licensed data. Use of this product for Commercial Purposes by a person/company/organization for a profit or fee is strictly prohibited. Please refer to the separately attached license from DigitalGlobe, Inc. for additional information. Digital orthoimagery combines the image characteristics of a digital image with the geometric qualities of a map. The primary dynamic digital orthophoto is a 60 centimeter ground resolution, image cast to the customer...
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"USDA has purchased a Enterprise Premium license for this Orthoimagery dataset from DigitalGlobe, Inc. Any government, education, not-for-profit agency and public/individuals not engaged in using the "Product for Commercial Exploitation or Commercial Purposes" can use this licensed data. Use of this product for Commercial Purposes by a person/company/organization for a profit or fee is strictly prohibited. Please refer to the separately attached license from DigitalGlobe, Inc. for additional information. Digital orthoimagery combines the image characteristics of a digital image with the geometric qualities of a map. The primary dynamic digital orthophoto is a 60 centimeter ground resolution, image cast to the customer...
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"USDA has purchased a Enterprise Premium license for this Orthoimagery dataset from DigitalGlobe, Inc. Any government, education, not-for-profit agency and public/individuals not engaged in using the "Product for Commercial Exploitation or Commercial Purposes" can use this licensed data. Use of this product for Commercial Purposes by a person/company/organization for a profit or fee is strictly prohibited. Please refer to the separately attached license from DigitalGlobe, Inc. for additional information. Digital orthoimagery combines the image characteristics of a digital image with the geometric qualities of a map. The primary dynamic digital orthophoto is a 60 centimeter ground resolution, image cast to the customer...
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"USDA has purchased a Enterprise Premium license for this Orthoimagery dataset from DigitalGlobe, Inc. Any government, education, not-for-profit agency and public/individuals not engaged in using the "Product for Commercial Exploitation or Commercial Purposes" can use this licensed data. Use of this product for Commercial Purposes by a person/company/organization for a profit or fee is strictly prohibited. Please refer to the separately attached license from DigitalGlobe, Inc. for additional information. Digital orthoimagery combines the image characteristics of a digital image with the geometric qualities of a map. The primary dynamic digital orthophoto is a 60 centimeter ground resolution, image cast to the customer...
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"USDA has purchased a Enterprise Premium license for this Orthoimagery dataset from DigitalGlobe, Inc. Any government, education, not-for-profit agency and public/individuals not engaged in using the "Product for Commercial Exploitation or Commercial Purposes" can use this licensed data. Use of this product for Commercial Purposes by a person/company/organization for a profit or fee is strictly prohibited. Please refer to the separately attached license from DigitalGlobe, Inc. for additional information. Digital orthoimagery combines the image characteristics of a digital image with the geometric qualities of a map. The primary dynamic digital orthophoto is a 60 centimeter ground resolution, image cast to the customer...
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"USDA has purchased a Enterprise Premium license for this Orthoimagery dataset from DigitalGlobe, Inc. Any government, education, not-for-profit agency and public/individuals not engaged in using the "Product for Commercial Exploitation or Commercial Purposes" can use this licensed data. Use of this product for Commercial Purposes by a person/company/organization for a profit or fee is strictly prohibited. Please refer to the separately attached license from DigitalGlobe, Inc. for additional information. Digital orthoimagery combines the image characteristics of a digital image with the geometric qualities of a map. The primary dynamic digital orthophoto is a 60 centimeter ground resolution, image cast to the customer...
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"USDA has purchased a Enterprise Premium license for this Orthoimagery dataset from DigitalGlobe, Inc. Any government, education, not-for-profit agency and public/individuals not engaged in using the "Product for Commercial Exploitation or Commercial Purposes" can use this licensed data. Use of this product for Commercial Purposes by a person/company/organization for a profit or fee is strictly prohibited. Please refer to the separately attached license from DigitalGlobe, Inc. for additional information. Digital orthoimagery combines the image characteristics of a digital image with the geometric qualities of a map. The primary dynamic digital orthophoto is a 60 centimeter ground resolution, image cast to the customer...
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"USDA has purchased a Enterprise Premium license for this Orthoimagery dataset from DigitalGlobe, Inc. Any government, education, not-for-profit agency and public/individuals not engaged in using the "Product for Commercial Exploitation or Commercial Purposes" can use this licensed data. Use of this product for Commercial Purposes by a person/company/organization for a profit or fee is strictly prohibited. Please refer to the separately attached license from DigitalGlobe, Inc. for additional information. Digital orthoimagery combines the image characteristics of a digital image with the geometric qualities of a map. The primary dynamic digital orthophoto is a 60 centimeter ground resolution, image cast to the customer...
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"USDA has purchased a Enterprise Premium license for this Orthoimagery dataset from DigitalGlobe, Inc. Any government, education, not-for-profit agency and public/individuals not engaged in using the "Product for Commercial Exploitation or Commercial Purposes" can use this licensed data. Use of this product for Commercial Purposes by a person/company/organization for a profit or fee is strictly prohibited. Please refer to the separately attached license from DigitalGlobe, Inc. for additional information. Digital orthoimagery combines the image characteristics of a digital image with the geometric qualities of a map. The primary dynamic digital orthophoto is a 60 centimeter ground resolution, image cast to the customer...
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This dataset represents an update to U.S. Geological Survey Data Series 597. Locations and attributes of wind turbines in Colorado, 2009 (available at http://pubs.usgs.gov/ds/597/). This updated Colorado wind turbine Data Series provides geospatial data (fig. 1) for all 1,204 wind turbines established within the State of Colorado as of September 2011, an increase of 297 wind turbines from 2009.Attributes specific to each turbine include: turbine location, manufacturer and model, rotor diameter, hub height, rotor height, potential megawatt output, land ownership, county, and development status of the wind turbine. Wind energy facility data for each turbine include: facility name, facility power capacity, number of...
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The Standardized Precipitation Index (SPI) is a probability index that can be calculated for different time periods to indicate periods of abnormal wetness or dryness. SPI is derived solely from monthly precipitation and can be compared across regions with different climates. The SPI is an index based on the probability of recording a given amount of precipitation, and the probabilities are standardized so that an index of zero indicates the median precipitation amount (half of the historical precipitation amounts are below the median, and half are above the median). This dataset shows the average 12-month SPI (in classes ranging from extremely wet to extremely dry) for the three-month forecast period indentified...
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MC1 is a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon, nutrients, and water. It was created to assess the potential impacts of global climate change on ecosystem structure and function at a wide range of spatial scales from landscape to global. The model incorporates transient dynamics to make predictions about the patterns of ecological change. MC1 was created by combining physiologically based biogeographic rules defined in the MAPSS model with a modified version of the biogeochemical model, CENTURY. MC1 includes a fire module, MCFIRE, that mechanistically simulates the occurrence and impacts of fire events. Climate input data sources for this...
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This dataset shows the predicted area of high fire potential for the current year up to the end of the forecast period as simulated by a modified version of the MC1 Dynamic General Vegetation Model (DGVM). The area of high fire potential is where PDSI and MC1-calculated values of potential fire behavior (fireline intensity for forest and shrubland and rate of spread of spread for grassland) exceed calibrated threshold values. Potential fire behavior in MC1 is estimated using National Fire Danger Rating System (NFDRS) formulas, monthly climatic (temperature, precipitation, and relative humidity) data, and fuel moisture and loading estimates. Monthly climatic data includes recorded values up to the last observed...
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These results come from the VINCERA version of MC1. MC1 is a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon, nutrients, and water. It was created to assess the potential impacts of global climate change on ecosystem structure and function at a wide range of spatial scales from landscape to global. The model incorporates transient dynamics to make predictions about the patterns of ecological change. MC1 was created by combining physiologically based biogeographic rules defined in the MAPSS model with a modified version of the biogeochemical model, CENTURY. MC1 includes a fire module, MCFIRE, that mechanistically simulates the occurrence and impacts...
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These results come from the VINCERA version of MC1. MC1 is a dynamic vegetation model for estimating the distribution of vegetation and associated ecosystem fluxes of carbon, nutrients, and water. It was created to assess the potential impacts of global climate change on ecosystem structure and function at a wide range of spatial scales from landscape to global. The model incorporates transient dynamics to make predictions about the patterns of ecological change. MC1 was created by combining physiologically based biogeographic rules defined in the MAPSS model with a modified version of the biogeochemical model, CENTURY. MC1 includes a fire module, MCFIRE, that mechanistically simulates the occurrence and impacts...
Male boreal toads (Bufo boreas) are thought to return to the breeding site every year but, if absent in a particular year, will be more likely to return the following year. Using Pollock's robust design we estimated temporary emigration (the probability a male toad is absent from a breeding site in a given year) at three locations in Colorado, USA: two in Rocky Mountain National Park and one in Chaffee County. We present data that suggest that not all male toads return to the breeding site every year. Our analyses indicate that temporary emigration varies by site and time (for example, from 1992 to 1998, the probability of temporary emigration ranged from 10% to 29% and from 3% to 95% at Lost Lake and Kettle Tarn,...
Human activities have caused the decline of numerous species and ecosystems. To promote ecosystem resilience, recent management efforts aim to maintain ecosystem patterns and processes within their historical range of variability. There has been substantial concern that quaking aspen, the most widely distributed tree in North America and the most important deciduous tree in the subalpine forests of the Rocky Mountains, has declined significantly in the western landscape during the 20th century. This reported decline has been attributed to conifer encroachment associated with fire exclusion, as well as other causes. To assess long-term changes in the extent of quaking aspen in a 175000-ha study area in western Colorado,...


map background search result map search result map Wind Turbines in Colorado, 2011 Vegetation Type for the North America Simulated for Years 2070-2099 for the HadCM3 SRES A2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Unsuppressed Fires) Vegetation Type for the North America Simulated for Years 2070-2099 for the CGCM2 SRES A2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Unsuppressed Fires) Standardized precipitation index forecast June - December 2011 (based on ECHAM 7-mo weather forecast) Vegetation Type for the United States and Canada Simulated for Historical data for the years 1961-1990 by the MC1 Model (NA8K version) MC1 DGVM fire potential forecast January - July 2011 (based on COLA 7-mo weather forecast) USGS High Resolution State Orthoimagery for the Island of Maui, Hawaii: 04QGH470980_201001_0x5000m_CL_1 USGS High Resolution State Orthoimagery for Kahoolawe Island, Hawaii: 04QGH515770_201101_0x5000m_CL_1 USGS High Resolution State Orthoimagery for the Island of Maui, Hawaii: 04QGH665920_201001_0x5000m_CL_1 USGS High Resolution State Orthoimagery for the Island of Maui, Hawaii: 04QGH755860_201001_0x5000m_CL_1 USGS High Resolution State Orthoimagery for the Island of Maui, Hawaii: 04QGH800935_201001_0x5000m_CL_1 USGS High Resolution State Orthoimagery for the Island of Maui, Hawaii: 04QGH995830_201001_0x5000m_CL_1 USGS High Resolution State Orthoimagery for the Island of Maui, Hawaii: 04QGJ470025_201001_0x5000m_CL_1 USGS High Resolution State Orthoimagery for the Island of Maui, Hawaii: 04QGJ530265_201001_0x5000m_CL_1 USGS High Resolution State Orthoimagery for the Island of Maui, Hawaii: 04QGJ770175_201001_0x5000m_CL_1 USGS High Resolution State Orthoimagery for the Island of Maui, Hawaii: 04QGJ860160_201001_0x5000m_CL_1 USGS High Resolution State Orthoimagery for the Island of Maui, Hawaii: 04QGJ935025_201001_0x5000m_CL_1 USGS High Resolution Orthoimagery for Hawaii Volcanoes National Park: 05QKB865420_201012_0x5000m_CL_1 USGS High Resolution Orthoimagery for Hawaii Volcanoes National Park: 05QKB865420_201012_0x5000m_CL_1 USGS High Resolution State Orthoimagery for Kahoolawe Island, Hawaii: 04QGH515770_201101_0x5000m_CL_1 USGS High Resolution State Orthoimagery for the Island of Maui, Hawaii: 04QGH470980_201001_0x5000m_CL_1 USGS High Resolution State Orthoimagery for the Island of Maui, Hawaii: 04QGJ470025_201001_0x5000m_CL_1 USGS High Resolution State Orthoimagery for the Island of Maui, Hawaii: 04QGH665920_201001_0x5000m_CL_1 USGS High Resolution State Orthoimagery for the Island of Maui, Hawaii: 04QGH755860_201001_0x5000m_CL_1 USGS High Resolution State Orthoimagery for the Island of Maui, Hawaii: 04QGJ530265_201001_0x5000m_CL_1 USGS High Resolution State Orthoimagery for the Island of Maui, Hawaii: 04QGH800935_201001_0x5000m_CL_1 USGS High Resolution State Orthoimagery for the Island of Maui, Hawaii: 04QGH995830_201001_0x5000m_CL_1 USGS High Resolution State Orthoimagery for the Island of Maui, Hawaii: 04QGJ770175_201001_0x5000m_CL_1 USGS High Resolution State Orthoimagery for the Island of Maui, Hawaii: 04QGJ935025_201001_0x5000m_CL_1 USGS High Resolution State Orthoimagery for the Island of Maui, Hawaii: 04QGJ860160_201001_0x5000m_CL_1 Wind Turbines in Colorado, 2011 MC1 DGVM fire potential forecast January - July 2011 (based on COLA 7-mo weather forecast) Standardized precipitation index forecast June - December 2011 (based on ECHAM 7-mo weather forecast) Vegetation Type for the United States and Canada Simulated for Historical data for the years 1961-1990 by the MC1 Model (NA8K version) Vegetation Type for the North America Simulated for Years 2070-2099 for the HadCM3 SRES A2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Unsuppressed Fires) Vegetation Type for the North America Simulated for Years 2070-2099 for the CGCM2 SRES A2 Scenario by the MC1 Model (VINCERA version; Low CO2 Efficiency; Unsuppressed Fires)