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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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The Critical Minerals in Archived Mine Samples Database (CMDB) contains chemistry and geologic information for historic ore and ore-related rock samples from mineral deposits in the United States. In addition, the database contains samples from archetypal deposits from 27 other countries in North America, South America, Asia, Africa and Europe. Samples were obtained from archived ore collections under the U.S. Geological Survey's project titled "Quick Assessment of Rare and Critical Metals in Ore Deposits: A National Assessment" (2008 to 2013) in an effort to begin an assessment of the Nations' previously mined ore deposits for critical minerals. Mineralized and altered rock samples were provided by the Colorado...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Alaska, Argentina, Arizona, Arkansas, Australia, All tags...
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Peru Earthquake May 31, 1970. Damage from the flood wave at the power company camp near Huallanca, which is visible in background. The wave, 20 meters deep at this point, swept away homes that formerly covered the level area in this view and deposited a layer of mud and rocks. The fence posts in the foreground are bent in the direction of the flow. June-July 1970.
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Peru Earthquake May 31, 1970. Nevados Hascaran, showing the area overrun by the upper part of the debris avalanche (outlined by dashed line): Moraines, M, below Glacier 511 and between Rio Shacsha and Quebrada Armapampa, and areas splattered by airborn mud and boulders. June-July 1970.
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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The Digital Chart of the World (DCW) is an Environmental Systems Research Institute, Inc. (ESRI) product originally developed for the US Defense Mapping Agency (DMA) using DMA data. The DCW 1993 version at 1:1,000,000 scale was used. The DMA data sources are aeronautical charts, which emphasize landmarks important from flying altitudes. This explains why there is a separate aeronautical theme with all conceivable airports, yet why on some themes small islands and lakes are simply unnamed points. ESRI, in compiling the DCW, also eliminated some detail and made some assumptions for handling tiny polygons and edgematching. Also, note that the completeness of the thematic categories present in each layer will vary....
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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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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....
The Andes Mountains of South America host significant porphyry copper deposits. The region is the major global source of copper and an area of active mining, exploration, and development. The Andes region was included in USGS global compilations of porphyry deposits published by Singer and others in 2005 and 2008. Since that time, many new discoveries and new resource data have become available. This compilation includes new and updated location, references, and grade and tonnage data for porphyry copper deposits in the Andes along with grade and tonnage data from the previous compilations. The data release includes a data table, references, and shapefiles of porphyry copper locations and political boundaries.
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Peru Earthquake May 31, 1970. Field west of the Rio Shacsha that was pockmarked by boulders hurled cross the Rio Shacsha valley. Most of the rocks are projectiles derived from the Huascaran debris avalanche. June-July 1970.
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....
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....
We estimate the Marginal Cost of Public Funds (MCPF) for Peru using a detailed computable general equilibrium (CGE) model. Revenues from all major sources (including taxes on factors of production, natural resources such as energy and minerals, consumption, and imports) are examined. Our focus is on the efficiency implications of mineral and energy taxes, given their importance to Peruvian public finance. The primary data are from the Global Trade Analysis Project (GTAP) as modified to include detailed tax information from the Peruvian Ministry of Economy and Finance and the Peruvian Internal Revenue Service. Consistent with the theories of public finance, we find that the MCPF is greater for activities that face...
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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
map background search result map search result map Nevados Hascaran avalanche showing the area overrun by the upper part of the debris avalanche (outlined by dashed line) caused by the Peru Earthquake. 1970. Roads of Peru, South America from Digital Chart of the World FSA 10:1 NAIP Imagery m_4307249_nw_18_1_20140809_20141006 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4008616_ne_16_1_20140813_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4008616_se_16_1_20140813_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4009535_ne_15_1_20140904_20141009 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3709664_nw_14_1_20150623_20150922 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3709664_se_14_1_20150623_20150922 3.75 x 3.75 minute JPEG2000 from The National Map Peak ground acceleration 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 0.2-second spectral response acceleration (5% of critical damping) with a 50% probability of exceedance in 50 years USGS 1:24000-scale Quadrangle for Peru, NE 1966 Global Geochemical Database for Critical Minerals in Archived Mine Samples Porphyry copper deposits and prospects in the Andes Mountains of South America FSA 10:1 NAIP Imagery m_4307249_nw_18_1_20140809_20141006 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4008616_ne_16_1_20140813_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4008616_se_16_1_20140813_20141201 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_4009535_ne_15_1_20140904_20141009 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3709664_nw_14_1_20150623_20150922 3.75 x 3.75 minute JPEG2000 from The National Map FSA 10:1 NAIP Imagery m_3709664_se_14_1_20150623_20150922 3.75 x 3.75 minute JPEG2000 from The National Map USGS 1:24000-scale Quadrangle for Peru, NE 1966 Roads of Peru, South America from Digital Chart of the World Nevados Hascaran avalanche showing the area overrun by the upper part of the debris avalanche (outlined by dashed line) caused by the Peru Earthquake. 1970. Porphyry copper deposits and prospects in the Andes Mountains of South America 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 50% probability of exceedance in 50 years Peak ground acceleration with a 10% probability of exceedance in 50 years Global Geochemical Database for Critical Minerals in Archived Mine Samples