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This map layer shows elevation contour lines for Alaska. The map layer was derived from the 100-meter resolution elevation data set which is published by the National Atlas of the United States, and is in the same Albers Equal-area Conic projection as that source data set. Contour intervals match the steps used in the National Atlas Color-Sliced Elevation data sets. Contours were adjusted so that they are in the proper relationship to National Atlas 1:1,000,000-scale lakes, reservoirs, and wide (double-line) streams.

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The Omnibus Surveys are a convenient way to get very quick input on transportation issues; to see who uses what, how they use it, and how users view it, and what they think about it; and to gauge public satisfaction with the transportation system and government programs.The series of surveys include: A monthly household survey of 1,000 households each month, which collects data on core questions about general travel experiences, satisfaction with the system, and some demographic data. Targeted surveys to address special transportation issues, as the U.S. Department of Transportation (DOT) operating administrations need them

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The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

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This agreement, entered into between the Fish and Wildlife Service, the Department of the Interior, known hereafter as the Service, and the Essex Soil Conservation District, of the state of Massachusetts, know hereafter as the District, relates to the cooperative soil and moisture conservation operations on lands and for the benefit of lands administered by the Service. The authorities under which the two parties enter into this agreement are, respectively, the Soil Conservation and Domestic Allotment Act of April 27, 1935 Ch. 85, 49 Stat. 165, U.S.C 590a. Reorganization plan No. IV, and Chapter 531 Soil Conservation District Act of 1945, Massachusetts. The Service is responsible for the conservation of soil and moisture resources on the Federal lands administered by it and funds for the conservation measures herein undertaken are available. Certain of these lands being located within the boundaries of the District and intermingled with the Spivate, State, and other lands, it is desirable that measures for the protection of other lands, be carried out by the District.

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Next generation air traffic management systems will be based to a greater degree on predicted trajectories of aircraft. Due to the iterative nature of future air traffic management algorithms, the success of these systems will depend strongly on the ability to rapidly generate trajectory predictions. By combining algorithmic improvements and high-performance computing hardware, Phase I research demonstrated significantly accelerated prediction of high-fidelity aircraft trajectories using the NASA-FACET software. Phase II research will build on the Phase I feasibility demonstration results to develop a full-scale computational appliance for rapid prediction of aircraft trajectories (CARPAT). The proposed architecture will combine the trajectory and airspace modeling capabilities of the FACET software with commercial, off-the-shelf high-performance computing technology. High-speed trajectory predictions and iterative computation of traffic flow management algorithms will be demonstrated under realistic traffic scenarios. The trajectory prediction appliance will commercialized during the Phase III work.

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Caribou were extirpated from the Kenai Peninsula by 1912 and reintroduced via transplants from the Nelchina Herd in the mid 1960s and again in the mid 1980s. The reintroductions resulted in the establishment of five herds: the Kenai Mountain Herd, Kenai Lowlands Herd, Killey River Herd, Fox River Herd and the Twin Lake Herd. Populations are increasing or stable for all but the Kenai Lowlands Herd.

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The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). In addition to the preceding, required text, the Abstract should also describe the projection and coordinate system as well as a general statement about horizontal accuracy.

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The U.S. Geological Survey (USGS), in cooperation with the Connecticut Department of Environmental Protection and National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Imagery, originally collected by NOAA for charting purposes, provides a fundamental framework for research and management activities along this part of Long Island Sound, shows the composition and terrain of the seabed, and provides information on sediment transport and benthic habitat. Interpretive data layers were derived from the multibeam echo-sounder data and sidescan-sonar data collected north of Orient Point, New York. During April 2010, bottom photographs and surficial sediment data were acquired as part of a USGS ground-truth reconnaissance survey. For more information on the ground-truth survey see http://quashnet.er.usgs.gov/data/2010/10010/.

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This map was produced by the Division of Realty to depict landownership at Laguna Atascosa National Wildlife Refuge. It was generated from rectified aerial photography, cadastral surveys and recorded documents.

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Neva Ridge Technologies proposes to develop a suite of software tools for the analysis of SAR and InSAR data, focused on having a robust and adopted capability well in place for scientists by the era of the NASA DESDynI spaceborne synthetic aperture radar (SAR) mission. The software will take advantage of the latest technologies associated with graphics processor units (GPUs) to drastically accelerate desktop processing performance. The growth in both GPU hardware performance and software development tools far exceeds those for general CPUs and other computer systems. Our effort will take advantage of this externally driven growth throughout the next decade. Under the proposed paradigm, users will access raw data via the internet using the developed software tool and process this data locally on a desktop computer augmented with an inexpensive GPU system. The local software will be designed for both ease of use and flexibility allowing scientists to produce their particular InSAR products from archived raw data very quickly. The software process flow will be developed by Neva Ridge in conjunction with NASA InSAR scientists, and will be open to supported scientists who would like to add or modify internal algorithms. Neva Ridge will maintain the software in an ongoing support role, and will incorporate the new and updated InSAR algorithms as nominated by scientists. Under this Phase I effort, we will demonstrate the feasibility of this approach by prototyping the main flow of InSAR processing steps using a GPU-accelerated system and will design process flows for many InSAR applications.

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NOAA's Undersea Research Center for the Southeastern U.S. and Gulf of Mexico region (SEGM) explores and studies the waters off the Southeast coast as well as those in the Gulf of Mexico. These waters include the South Atlantic Bight, Florida Keys, and Gulf of Mexico, including the states of North Carolina, South Carolina Georgia, Florida, Alabama, Mississippi, and Texas. The Center's systems and technology include the Aquarius Undersea Lab, human-occupied submersibles, remotely operated vehicles, autonomous underwater vehicles, as well as other resource systems and tools.

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We propose to build an electrostatically focused klystron that exploits recent breakthroughs in scandate cathode technology. We have built cathodes with greater than 100 Amps/cm2 emission. This project offers an opportunity to test those cathodes in real world devices. Because of their small size (.050 inch diameter) and low power dissipation (under 1.2 watts), they are ideal for long-range space missions. Also, their low beam convergence makes electrostatic focusing feasible. This, in turn, provides a dramatic reduction in amplifier size and mass. Without magnets, traveling wave tubes and klystrons will be lighter and smaller, a further enhancement for space missions. Phase I develops cathodes, pierce guns and focusing stacks. Phase II will see construction of a working klystron or TWT. Scandate cathodes also provide longer life than conventional cathodes. Their small size allows amplifiers to reach much higher frequencies, bandwidth, and data rates than current art.

Summary

Description

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

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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 Other Identifiers Relationship File contains external identifier codes, such as National Hydrographic Dataset (NHD) codes and individual county identifiers. The edge to which an Other Identifiers Relationship File record applies can be determined by linking to the All Lines shapefile on the permanent edge identifier (TLID) attribute. Not every TLID has an external identifier associated with it and some TLIDs may have more than one.

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The data available for the Prewailing Wage determination program that have been received and entered into the Department of Labor tracking system.

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This Comprehensive Conservation Plan CCP was written to guide management on St. Croix Wetland Management District for the next 15 years. This plan outlines the District vision and purpose and describes how St. Croix Wetland Management District will contribute to the overall mission of the Refuge System. The plan provides an introduction to the District an overview of the CCP process, information about the environment, information about the management direction, and strategies for implementation. Key planning issues include: habitat management, habitat loss and fragmentation, land acquisition, visitor services, Service identity, and wilderness review.

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Several instruments that are potential candidates for future space-based NASA missions require a highly stable, single frequency laser oscillator that is wavelength tunable. It should be a cw source with an output in the 10-100 mW range. Most of the applications either require that the wavelength be near 1064 nm or can use that wavelength. To meet many of the applications, the laser should have a short-term frequency drift of <1 MHz/min and a long-term frequency stability of +/-50 MHz. The more demanding applications require long term stability of +/-1 MHz. Some commercial lasers meet the less stringent performance requirements, but to our knowledge, Lightwave Electronics is the only domestic laser vendor that has built any space-qualified units. None of the commercial lasers meet the +/-1 MHz long term stability requirement. At this time no domestic laser manufacturers, including Lightwave Electronics, appear to be interested in supplying a laser that meets the +/-50 MHz long term stability requirement in a space-qualified version. We are proposing to build a space-qualified version of the required laser based on a design that is an innovative synthesis of microchip laser technology, space-qualifiable thermal control systems, frequency locking techniques that use a simple I2 absorption cell, and compact packaging technology. In addition to the basic cw laser development that was begun in Phase I, we are proposing to develop a next generation of compact control electronics. We are also proposing to demonstrate the utility of the system by using it to injection seed a Q-switched, 10 kHz repetition rate Nd:YAG laser oscillator. The required laser development strongly overlaps the technology development areas defined in the SBIR topic E1.02, Lidar Remote Sensing. The areas of overlap include the more specific categories of High Spectral Resolution Lidar systems, lidar for direct wind detection, and innovative laser component technologies.

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The orthoimages were mosaicked and reprojected by the USGS from the original 2-foot pixel, West Virginia North and South State Plane (feet) Coordinate Systems to Universal Transverse Mercator (UTM) (meters), Zone 17, NAD83 datum. Each orthoimage (DOQQ) provides the equivalent to a quarter of a 7.5-minute map (3.75 minutes of latitude and longitude) with overedge. The overedge is approximately 300 meters beyond the extremes of the corners of coverage. The naming convention is based on the U.S. Geological Survey 1:24,000 Topographic Map Series with the quadrant abbreviation, i.e. athens_ne.tif, etc. This data set covers the entire state of West Virginia including into UTM zone 18 on the east edge.

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The Climate Prediction Center (CPC) issues 6 to 10 day probabilistic temperature outlooks for the United States. The 6-10 day Outlook gives the confidence that a forecaster has, given as a probability, that the observed temperature, averaged over upcoming days 6, 7, 8, 9, and 10 will be in the range of one of three possible categories below (B), normal (N), or above (A). For any calendar 5-day period, these categories can be defined by separating the 30 years of the climatology period, 1981-2010 (30 years), into the coldest 10 years, the middle 10 years, and the warmest 10 years. Because each of these categories occurs 1/3 of the time (10 times) during 1981-2010, for any particular calendar 5-day period, the probability of any category being selected at random from the 1981-2010 set of 30 observations is one in three (1/3), or 33.33%. This is also called the climatological probability. The sum of the climatological probabilities of the three categories is 100%.

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This part of SIM 3302 presents data for the geologic and geomorphic map (see sheet 10, SIM 3302) of the Offshore of Coal Oil Point map area, California. The vector data file is included in "Geology_OffshoreCoalOilPoint.zip," which is accessible from http://pubs.usgs.gov/ds/781/OffshoreCoalOilPoint/data_catalog_OffshoreCoalOilPoint.html. The offshore part of the Offshore of Coal Oil Point map area largely consists of a gently offshore-dipping (less than 1 degree) shelf underlain by sediments derived primarily from relatively small coastal watersheds that drain the Santa Ynez Mountains. Shelf deposits are primarily sand (Qms) at depths less than about 35 to 50 m, and they are finer grained sediment such as very fine sand, silt, and clay (Qmsf) from depths of 35 to 50 m southward to the shelf break at a depth of about 90 m. The boundary between units Qms and Qmsf is based on observations and extrapolation from sediment sampling (see, for example, Reid and others, 2006) and camera ground-truth surveying. It is important to note that the boundary between units Qms and Qmsf should be considered transitional and approximate and is expected to shift as a result of seasonal- to annual- to decadal-scale cycles in wave climate, sediment supply, and sediment transport. Fine-grained deposits that are similar to unit Qmsf also are mapped at water depths greater than 90 m, below the shelf break on the upper slope; however, here they are identified as a separate unit (unit Qmsl) because of their location below the distinct shelf-slope geomorphologic break. Coarser grained, marine deposits (coarse sand to boulders) of units Qmsc, Qmscl, and Qsc are recognized on the basis of their high acoustic backscatter, their ground-truth-survey imagery, and, in some cases, their moderate seafloor relief. This coarse-grained facies is linked either to the mouths of steep coastal watersheds or to adjacent seafloor bedrock outcrops, and the deposits generally represent wave-winnowed lags of deltaic sediment. Two distinct lobes of coarse-grained sediment (unit Qmscl), present in deeper water (about 50 m) near the west edge of the map area, may similarly represent winnowed deltaic deposits that formed at lower sea levels during the latest Pleistocene or early Holocene. An isolated patch of clast-supported cobbles (unit Qsc), which rests on bedrock south of Coal Oil Point at a water depth of 70 m, also may have been deposited at lower sea levels during the late Pleistocene. Offshore bedrock exposures are mapped as either the Miocene Monterey Formation (Tm, Tmu, Tmm), the late Miocene and early Pliocene Sisquoc Formation (Tsq), or the undivided Quaternary and Tertiary bedrock (QTbu) or undivided Tertiary bedrock (Tbu) units on the basis of the confidence in extending the onshore mapping of Minor and others (2009) offshore. Midshelf to outer shelf bedrock exposures are all mapped as undivided units; however, offshore sampling data (see, for example, Kunitomi and others, 1998), as well as regional cross sections that are constrained by petroleum exploration data and sampling (Redin, 2005; Redin and others, 2005), have suggested that these seafloor outcrops predominantly are late Miocene and Pliocene strata. These rocks have been uplifted in a large, regional, internally warped, south-dipping homocline that formed above the blind, north-dipping Pitas Point-North Channel Fault system; the fault tip is inferred to lie beneath the continental slope, about 6 to 7 km offshore. Bedrock is, in some places, overlain by a thin (less than 1 m?) veneer of sediment, recognized on the basis of high backscatter, flat relief, continuity with moderate- to high-relief bedrock outcrops, and (in some cases) high-resolution seismic-reflection data; these areas, which are mapped as composite units Qms/Tu, Qms/Tsq, Qms/Tmu, Qms/Tmm, Qms/Tm, Qms/Tbu, or Qmsf/QTbu, are interpreted as ephemeral sediment layers that may or may not be continuously present, whose presence or absence is a function of the recency and intensity of storm events, seasonal and (or) annual patterns of sediment movement, or longer term climate cycles. The Offshore of Coal Oil Point map area includes the upper part of the large (130 km2), well-documented submarine Goleta landslide complex (Eichhubl and others, 2002; Fisher and others, 2005; Greene and others, 2006). Greene and others (2006) reported that the complex, which measures 14.6 km long and 10.5 km wide and extends from water depths of 90 to 574 m, has displaced about 1.75 km3 of landslide debris during the Holocene; they described it as a compound, multiphase submarine landslide that contains both surficial slump blocks and mud flows, in three distinct segments (west, central, and east lobes). Each segment consists of a distinct headwall scarp (units Qglwh, Qglch, Qgleh), a downdropped head block (units Qglwb, Qglcb, Qgleb), and several composite slide-debris lobes (units Qglw5, Qfglw4, Qglw3, Qglw2, Qglw1, Qglc4, Qglc3, Qglc2a, Qglc2, Qfle5, Qgle4, Qgle3, Qgle2). The geologic map geomorphic map on sheet 10 (SIM 3302) shows the upper approximately 3 km of this landslide complex; in addition, the seismic-reflection profile SB-145 (fig. 3 on sheet 8, SIM 3302), which crosses the east lobe of the landslide complex, illustrates its subsurface characteristics. The landslide source is inferred to be Pleistocene-age, shelf-edge deltaic sediments deposited during Quaternary sea-level lowstands, and Fisher and others (2005) suggested that the youngest landslides formed about 8,000 to 10,000 years ago. The Santa Barbara Channel region, including the map area, has a long history of petroleum production (Barnum, 1998) that began in 1928 with discovery of the Ellwood oil field. Subsequent discoveries in the offshore part of the map area include the South Ellwood offshore oil field, the Coal Oil Point oil field, and the Naples oil and gas field (Brickey, 1998; Galloway, 1998). Oil and gas are mainly sourced by the Miocene Monterey Formation; the reservoirs are in the Vaqueros Formation, the Rincon Shale, and the Monterey Formation. Development of the South Ellwood offshore oil field began in 1966 from platform "Holly," which was the last platform to be installed in California's State Waters. Debris and infrastructure associated with platform "Holly," as well as with seep containment devices ("seep tents"), are mapped as unit pd. Hornafius and others (1999) described "the world's most spectacular marine hydrocarbon seeps" in the Coal Oil Point map area, and these seeps release an estimated 36 metric tons of methane and 17 metric tons reactive organic gas (ethane, propane, butane, and higher hydrocarbons) per day. Areas of grouped to solitary pockmarks (unit Qmp) caused by gas seeps are common features. In addition, numerous asphalt (tar) deposits (unit Qas) associated with hydrocarbon seeps and gas vents are mapped both onshore and offshore. The offshore deposits, which have been confirmed with seafloor video observations, often are localized along bedrock structures such as faults or the crests of anticlines, forming bathymetric features that are morphologically similar to bedrock outcrops but are distinguished from them on the basis of their low acoustic backscatter. Although many such asphalt deposits are too small to be shown on the map, the larger deposits can cover as much as several hundred square meters. References Cited: Barnum, H.P., 1998, Redevelopment of the western portion of the Rincon offshore oil field, Ventura, California, in Kunitomi, D.S., Hopps, T.E., and Galloway, J.M., eds., Structure and petroleum geology, Santa Barbara Channel, California: American Association of Petroleum Geologists, Pacific Section, and Coast Geological Society, Miscellaneous Publication 46, p. 201-215. Brickey, M.R., 1998, Oil and gas fields of the Santa Barbara Channel area, in Kunitomi, D.S., Hopps, T.E., and Galloway, J.M., eds., Structure and petroleum geology, Santa Barbara Channel, California: American Association of Petroleum Geologists, Pacific Section, and Coast Geological Society, Miscellaneous Publication 46, preface (2 p.). Eichhubl, P., Greene, H.G., and Maher, N., 2002, Physiography of an active transpressive margin basin--High-resolution bathymetry of the Santa Barbara basin, southern California continental borderland: Marine Geology, v. 184, p. 95-120. Fisher, M.A., Normark, W.R., Greene, H.G., Lee, H.J., and Sliter, R.W., 2005, Geology and tsunamigenic potential of submarine landslides in Santa Barbara Channel, southern California: Marine Geology, v. 224, p. 1-22. Galloway, J., 1998, Chronology of petroleum exploration and development in the Santa Barbara Channel area, offshore southern California, in Kunitomi, D.S., Hopps, T.E., and Galloway, J.M., eds., Structure and petroleum geology, Santa Barbara Channel, California: American Association of Petroleum Geologists, Pacific Section, and Coast Geological Society, Miscellaneous Publication 46, p. 1-12, 1 sheet. Greene, H.G., Murai, L.Y., Watts, P., Maher, N.A., Fisher, M.A., and Eichhubl, P., 2006, Submarine landslides in the Santa Barbara channel as potential tsunami sources: Natural Hazards and Earth System Sciences, v. 6, p. 63-88. Hornafius, J.S., Quigley, D.C., and Luyendyk, B.P., 1999, The world's most spectacular marine hydrocarbon seeps (Coal Oil Point, Santa Barbara Channel, California)--Quantification of emissions: Journal of Geophysical Research - Oceans, v. 104, p. 20,703-20,711. Kunitomi, D.S., Hopps, T.E., and Galloway, J.M., eds., 1998, Structure and petroleum geology, Santa Barbara Channel, California: American Association of Petroleum Geologists, Pacific Section, and Coast Geological Society, Miscellaneous Publication 46, 328 p. Minor, S.A., Kellogg, K.S., Stanley, R.G., Gurrola, L.D., Keller, E.A., and Brandt, T.R., 2009, Geologic map of the Santa Barbara coastal plain area, Santa Barbara County, California: U.S. Geological Survey Scientific Investigations Map 3001, scale 1:25,000, 1 sheet, pamphlet 38 p., available at http://pubs.usgs.gov/sim/3001. Redin, T., 2005, Santa Barbara Channel structure and correlation sections--Correlation Section no. 36, N-S structure and correlation section, western Santa Ynez Mountains across the Santa Barbara Channel to Santa Rosa Island: American Association of Petroleum Geologists, Pacific Section, Publication CS 36, 1 sheet. Redin, T., Kamerling, M., and Forman, J., 2005, Santa Barbara Channel structure and correlation sections--Correlation Section no. 35, North Ellwood-Coal Oil Point area across the Santa Barbara Channel to the north coast of Santa Cruz Island: American Association of Petroleum Geologists, Pacific Section, Publication CS 35, 1 sheet. Reid, J.A., Reid, J.M., Jenkins, C.J., Zimmerman, M., Williams, S.J., and Field, M.E., 2006, usSEABED--Pacific Coast (California, Oregon, Washington) offshore surficial-sediment data release: U.S. Geological Survey Data Series 182, available at http://pubs.usgs.gov/ds/2006/182/.

Summary

Description

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the State Plane projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

Summary

Description

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the State Plane projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

Summary

Description

The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). In addition to the preceding, required text, the Abstract should also describe the projection and coordinate system as well as a general statement about horizontal accuracy.

Summary

Description

The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for the study area. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The Floodplain Mapping/Redelineation flood risk boundaries are derived from the engineering information Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA).

Summary

Description

The Poverty and Food Security Case Studies dataset consists of small area estimates of poverty, inequality, food security and related measures for subnational administrative units in Mexico, Ecuador, Kenya, Malawi, Bangladesh, Sri Lanka, Nigeria and Vietnam. These data come from country level cases studies that examine poverty and food security from a spatial analysis perspective. The data products include shapefiles (vector data) and tabular datasets (csv format). Additionally, a data catalog (xls format) containing detailed information and documentation is provided. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) and the Centro Internacional de Agricultura Tropical (CIAT). The dataset was originally produced by CIAT, International Maize and Wheat Improvement Center (CIMMYT), International Livestock Research Institute (ILRI), International Food Policy Research Institute (IFPRI), International Rice Research Institute (IRRI), International Water Management Institute (IWMI), and International Institute for Tropical Agriculture (IITA). (Suggested Usage: To provide high spatial resolution subnational estimates of poverty and food security for use by a wide community for interdisciplinary studies of poverty, food security and the environment.)