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Operational and mission efficiency were estimated for Air Force fighters, bombers and transports from fuel use data from 2001 through 2008 as reported in the Air Force Total Cost of Ownership (AFTOC) database. This analysis estimated efficiency in terms of the best performance theoretically possible for each platform based upon the energy available in the fuel expended. Operational efficiency considered aircraft operations in general, without regard for the type of mission. Mission efficiency only considered use of allocated fuel for combat (non-training) sorties. The cost associated with fuel inefficiency of the combined fighter, bomber and tanker force were estimated based on the fiscal year 2008 costs of fuel,...
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This "Surface Management Agency" data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level.
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This "Surface Management Agency" data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level.
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This "Surface Management Agency" data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level.
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This "Surface Management Agency" data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level. The dataset was clipped to the ecoregion boundary and queried for National parks, National Preserves, and National Wildlife Refuges.
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This "Surface Management Agency" data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level.
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This "Surface Management Agency" data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level.
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This map shows DOD (military) sites, installations, ranges, and training areas in the U.S. and its Territories. It also shows past, current, and future study areas related to the Twenty-Nine Palms Training Land/Airspace Acquisition Project. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to...
This article addresses the important but overlooked socio-cultural dimension of sustainability indicators. We use cultural theory to assess indicators of human-environment interaction in different cultural contexts in a case study of a mining-industrial complex in the Kola Peninsula, North-West Russia. The analysis yields results with implications on two levels. First, the article contributes to indicator theory by illustrating with the use of cultural theory how the choice of indicators on one hand and their value range on the other shape and are shaped by culture. Second, with its analysis of the long-term use of environmental indicators, the article contributes to the development of trans-national environmental...
This article addresses the important but overlooked socio-cultural dimension of sustainability indicators. We use cultural theory to assess indicators of human-environment interaction in different cultural contexts in a case study of a mining-industrial complex in the Kola Peninsula, North-West Russia. The analysis yields results with implications on two levels. First, the article contributes to indicator theory by illustrating with the use of cultural theory how the choice of indicators on one hand and their value range on the other shape and are shaped by culture. Second, with its analysis of the long-term use of environmental indicators, the article contributes to the development of trans-national environmental...
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This "Surface Management Agency" data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level.
thumbnail
This "Surface Management Agency" data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level.
thumbnail
This "Surface Management Agency" data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level.
This article addresses the important but overlooked socio-cultural dimension of sustainability indicators. We use cultural theory to assess indicators of human-environment interaction in different cultural contexts in a case study of a mining-industrial complex in the Kola Peninsula, North-West Russia. The analysis yields results with implications on two levels. First, the article contributes to indicator theory by illustrating with the use of cultural theory how the choice of indicators on one hand and their value range on the other shape and are shaped by culture. Second, with its analysis of the long-term use of environmental indicators, the article contributes to the development of trans-national environmental...
thumbnail
This "Surface Management Agency" data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level.
thumbnail
This "Surface Management Agency" data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level.
thumbnail
This "Surface Management Agency" data layer portrays tracts of federal land for the United States and classifies these holdings by administrative agency. Multiple federal agencies have contributed to the contents of this layer and it is in a continuous state of update. Source and date of feature updates are tracked to the feature level.
thumbnail
This map shows DOD (military) sites, installations, ranges, and training areas in the U.S. and its Territories. It also shows past, current, and future study areas related to the Twenty-Nine Palms Training Land/Airspace Acquisition Project. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to...


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