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This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey. These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults. This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude. This particular data set is for peak ground acceleration with a 10 percent probability of exceedance in 50 years.
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A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey. These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults. This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude. This particular data set is for horizontal spectral response acceleration for 0.2-second period with a 50 percent probability of exceedance in 50 years.
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A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey. These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults. This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude. This particular data set is for horizontal spectral response acceleration for 1.0-second period with a 10 percent probability of exceedance in 50 years.
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A comparison of the 2017 USGS South America seismic hazard model and the 2010 USGS preliminary model was made to see how the models differ. The comparison was made as the ratio of PGA at 10% probability of exceedance in 50 years. The ratio map is included here as a geo-referenced tiff (GeoTIFF). The gridded data for the 2017 PGA at 10% probability can be found here, while the gridded data for the 2010 PGA at 10% probability can be found in the zip archive that can be downloaded using a link on this page.
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Maximum considered earthquake geometric mean peak ground acceleration maps (MCEG) are for assessment of the potential for liquefaction and soil strength loss, as well as for determination of lateral earth pressures in the design of basement and retaining walls. The maps are derived from the USGS seismic hazard maps in accordance with the site-specific ground-motion procedures of the NEHRP Recommended Seismic Provisions for New Building and Other Structures and the ASCE Minimum Design Loads for Buildings and Other Structures (also known as the ASCE 7 Standard; ASCE, 2016). The MCEG ground motions are taken as the lesser of probabilistic and deterministic values, as explained in the Provisions. The gridded probabilistic...
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A comparison of the 2017 USGS South America seismic hazard model and the Global Seismic Hazard Assessment Program (GSHAP) model was made to see how the models differ. The comparison was made as the ratio of PGA at 10% probability of exceedance in 50 years. The ratio map is included here as a geo-referenced tiff (GeoTIFF). The gridded data for the 2017 PGA at 10% probability can be found here, while the GSHAP data can be found here. Shedlock, K.M., Giardini, Domenico, Grünthal, Gottfried, and Zhang, Peizhan, 2000, The GSHAP Global Seismic Hazar Map, Sesimological Research Letters, 71, 679-686. https://doi.org/10.1785/gssrl.71.6.679
A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey. These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults. This data set represents the hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude. It represents the annual rate of exceedance versus 0.2-second spectral response acceleration.
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A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey. These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults. This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude. This particular data set is for peak ground acceleration with a 2 percent probability of exceedance in 50 years.
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A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey. These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults. This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude. This particular data set is for Modified Mercalli Intensity with a 50 percent probability of exceedance in 50 years. The maps and data were derived from PGA ground-motion conversions of Worden et al. (2012), and include soil amplification...
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A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey. These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults. This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude. This particular data set is for horizontal spectral response acceleration for 0.2-second period with a 2 percent probability of exceedance in 50 years.
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
This data set contains imagery from the National Agriculture Imagery Program (NAIP). The NAIP program is administered by USDA FSA and has been established to support two main FSA strategic goals centered on agricultural production. These are increase stewardship of America's natural resources while enhancing the environment, and to ensure commodities are procured and distributed effectively and efficiently to increase food security. The NAIP program supports these goals by acquiring and providing ortho imagery that has been collected during the agricultural growing season in the U.S. The NAIP ortho imagery is tailored to meet FSA requirements and is a fundamental tool used to support FSA farm and conservation programs....
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Risk-targeted maximum considered earthquake ground acceleration maps (MCER) are for the design of buildings and other structures. The maps are derived from the USGS seismic hazard maps in accordance with the site-specific ground-motion procedures of the NEHRP Recommended Seismic Provisions for New Building and Other Structures and the ASCE Minimum Design Loads for Buildings and Other Structures (also known as the ASCE 7 Standard; ASCE, 2016). The MCER ground motions are taken as the lesser of probabilistic and deterministic values, as explained in the Provisions. The gridded probabilistic and deterministic values for 0.2-second spectral response acceleration are available here.
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A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey. These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults. This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude. This particular data set is for horizontal spectral response acceleration for 1.0-second period with a 50 percent probability of exceedance in 50 years.
It is often claimed that dedicated energy plantations may be established on degraded lands so as to prevent competition with food production. In this paper, the economics of eucalyptus plantations in the Northeast of Brazil on ‘‘good’’ versus ‘‘bad’’ lands is investigated. It is shown that the value of the higher yields that can be expected on ‘‘good’’ lands generally outweighs the additional cost associated with acquiring that land. For this reason, forestry companies would find it more profitable to opt for ‘‘good’’ lands rather than degraded lands when establishing plantations, although exceptions do exist. Thus, governmental policies are warranted if use of degraded lands for bioenergy plantations is desired.
Categories: Publication; Types: Citation; Tags: Bioenergy, Brazil, competition, land-use
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This maps portrays the spatial potential for damaging earthquake ground shaking quantified as moderate (MMI ≥ VII) in 100 years. The maps and data are based on the average of the results obtained from peak ground acceleration and 1.0-second horizontal spectral acceleration. Site specific soil factors based on Vs30 shear wave velocities were implemented using a simple topographic proxy technique (Allen and Wald, 2009) and site amplification based on the relationships of Seyhan and Stewart (2014). MMI ≥ VII is equivalent to peak ground acceleration of 0.22g and 1.0-second horizontal spectral acceleration of 0.23g (Worden et al., 2012). Allen, T.A. and Wald, D.J. 2009,. On the use of high-resolution topographic...
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This dataset presents information about exploration sites relating to the mineral industries of Latin America and the Caribbean. Exploration sites include sites in active exploration status, sites with feasibility work being performed or planned, exploration at a producing mine for a mine expansion, or sites that are approved for or under development but not yet at the producing stage. Relevant data fields include the mineral commodities present at the site, project name, project type, operator, owners of the site, geographic coordinates, and locational accuracy. These data are dervied from work conducted by staff of the Material Flow Analysis section of the National Minerals Information Center.
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A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey. These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults. This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude. This particular data set is for Modified Mercalli Intensity with a 2 percent probability of exceedance in 50 years. The maps and data were derived from PGA ground-motion conversions of Worden et al. (2012), and include soil amplification...
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A seismic hazard model for South America, based on a smoothed (gridded) seismicity model, a subduction model, a crustal fault model, and a ground motion model, has been produced by the U.S. Geological Survey. These models are combined to account for ground shaking from earthquakes on known faults as well as earthquakes on un-modeled faults. This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.1 degrees in latitude and longitude. This particular data set is for horizontal spectral response acceleration for 0.2-second period with a 10 percent probability of exceedance in 50 years.


map background search result map search result map Mineral exploration sites of Latin America and the Caribbean FSA 10:1 NAIP Imagery m_3508908_ne_16_1_20140701_20141113 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3508908_nw_16_1_20140617_20141113 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3508908_se_16_1_20140701_20141113 3.75 x 3.75 minute JPEG2000 from The National Map Peak ground acceleration with a 2% probability of exceedance in 50 years Peak ground acceleration with a 10% probability of exceedance in 50 years 0.2-second spectral response acceleration (5% of critical damping) with a 2% probability of exceedance in 50 years 0.2-second spectral response acceleration (5% of critical damping) with a 10% probability of exceedance in 50 years 1.0-second spectral response acceleration (5% of critical damping) with a 10% probability of exceedance in 50 years Comparison with the 2010 USGS preliminary model Comparison with the 1999 Global Seismic Hazard Assessment (GSHAP) model 1.0-second spectral response acceleration (5% of critical damping) with a 50% probability of exceedance in 50 years 0.2-second spectral response acceleration (5% of critical damping) with a 50% probability of exceedance in 50 years Modified Mercalli Intensity, based on peak ground acceleration, with a 2% probability of exceedance in 50 years Modified Mercalli Intensity, based on peak ground acceleration, with a 50% probability of exceedance in 50 years FSA 10:1 NAIP Imagery m_3508908_ne_16_1_20140701_20141113 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3508908_nw_16_1_20140617_20141113 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3508908_se_16_1_20140701_20141113 3.75 x 3.75 minute JPEG2000 from The National Map Comparison with the 2010 USGS preliminary model Comparison with the 1999 Global Seismic Hazard Assessment (GSHAP) model 1.0-second spectral response acceleration (5% of critical damping) with a 10% probability of exceedance in 50 years 0.2-second spectral response acceleration (5% of critical damping) with a 2% probability of exceedance in 50 years 0.2-second spectral response acceleration (5% of critical damping) with a 50% probability of exceedance in 50 years 1.0-second spectral response acceleration (5% of critical damping) with a 50% probability of exceedance in 50 years Peak ground acceleration with a 2% probability of exceedance in 50 years 0.2-second spectral response acceleration (5% of critical damping) with a 10% probability of exceedance in 50 years Peak ground acceleration with a 10% probability of exceedance in 50 years Modified Mercalli Intensity, based on peak ground acceleration, with a 2% probability of exceedance in 50 years Modified Mercalli Intensity, based on peak ground acceleration, with a 50% probability of exceedance in 50 years Mineral exploration sites of Latin America and the Caribbean