2011 - 2012 New York State Department of Environmental Conservation (NYSDEC) Lidar: Coastal New York (Long Island and along the Hudson River)
Published By National Oceanic and Atmospheric Administration, Department of Commerce
Issued over 9 years ago
Summary
Description
Light Detection and Ranging (LiDAR) data is remotely sensed high-resolution elevation data collected by an airborne collection platform. This LiDAR dataset is a survey of areas of coastal New York, including Long Island, eastern Westchester, and the tidal extents of the Hudson River. The project area consists of approximately 950 square miles. The project design of the LiDAR data acquisition was developed to support a nominal post spacing of 1.0 meter or better (1.0 meter GSD). GMR Aerial Surveys Inc. d/b/a Photo Science, Inc. acquired 740 flight lines in 63 lifts between November 2011 and April 2012, while no snow was on the ground, rivers were at or below normal levels, no strong onshore winds, high waves, floods, or other anomalous weather conditions. Specified areas of the project were collected at a tide stage where water levels are at least 1-foot below mean sea level (MSL). This collection was a joint effort by the NOAA Coastal Services Center (CSC) and the New York State Department of Environmental Conservation. The data collection was performed with three Cessna 206 single engine aircrafts, utilizing Optech Gemini sensors; collecting multiple return x, y, and z as well as intensity data. The data were classified as Unclassified (1), Ground (2), Low Point (Noise) (7), Water (9), Breakline Edge (10), Withheld (11), Tidal Water (14), Overlap Default (17), and Overlap Ground (18), Overlap Water (25), and Overlap Tidal Water (30). Upon receipt, the NOAA Coastal Services Center (CSC), for data storage and Digital Coast provisioning purposes, converted these classifications to the following: 1 - Unclassified 2 - Ground 7 - Low Point (Noise) 9 - Water NOAA tide gauges were used as the basis for flight planning the tidally coordinated areas. Some areas were collected using tidal restraints as listed below: Tidal Wetlands and tributary mouths selected for tidal coordination at Mean Sea Level (MSL) minus 1 foot were: Rondout Creek Outlet; Vanderburg Cove, Moodna Creek, Constitution Marsh, Iona Marsh, Annsville Creek, Croton River Outlet, Marlboro Marsh, Manitou Marsh, Fishkill Creek Outlet, and Wappingers Creek Outlet. The Upper Hudson area from North of Goose Island was also collected to the same specification. Tidal Wetlands and tributary mouths selected for tidal coordination at Mean Sea Level (MSL) were: Haverstraw at Minisceongo Creek and Piedmont Marsh. The remainder of the project area had no tidal restrictions for collection. In order to post process the LiDAR data to meet task order specifications, Photo Science, Inc. established a total of 81 control points that were used to calibrate the LiDAR to known ground locations established throughout the New York project area. Trimble R8-3 GNSS receivers were used to complete the collection. Real Time Kinematic (RTK) survey methodology was typically performed using the New York State Spatial Reference Network (NYSNet), a CORS/Real Time GPS Network. Additionally, control values from various other projects completed by Photo Science in and around the project area, were used as supplemental control points to assist in the calibration of the LiDAR dataset. The dataset was developed based on a horizontal projection/datum of UTM NAD83 (NSRS2007), UTM Zone 18, meters and vertical datum of NAVD1988 (GEOID09), meters. Upon receipt, for data storage and Digital Coast provisioning purposes, the NOAA Coastal Services Center converted the data to GRS80 Ellipsoid (GEOID09) heights, to geographic (NAD83, NSRS2007) coordinates, and from las format to laz format. LiDAR data were collected in RAW flightline swath format, processed to create Classified LAS 1.2 Files formatted to 2093 individual 750m x 750m tiles, Hydro Flattening Breaklines in Esri 1.0 meter gridded V-Datum ESRI Grid files formatted to the same 3000m x 3000m tile schema. LiDAR Data was originally delivered to NOAA/Dewberry for quality control validation under Delivery Lots 1 and 2. The lineage (data quality), positional, content (completeness), attribution, logical consistency, and accuracies of all digital elevation data produced conform to the specifications stipulated in NOAA Task Order EA133C11CQ0009 - T011.
Published By Social Security Administration
Issued over 9 years ago
Summary
Description
The purpose of this agreement is for SSA to provide SSN verifications to the Florida Department of Motor Vehicle Administration.
Published By Department of Transportation
Issued over 9 years ago
Summary
Description
HPMS compiles data on highway network extent, use, condition, and performance. The system consists of a geospatially-enabled database that is used to generate reports and provides tools for data analysis. Information from HPMS is used by many stakeholders across the US DOT, the Administration, Congress, and the transportation community.
Published By Department of Transportation
Issued over 9 years ago
Summary
Description
The Child Safety Seat Inspection Station Locations are used to make it easier for all citizens to get their Child Safety Seats properly installed. Car crashes are the largest cause of fatalities and serious injuries for children between ages 2 and 15. Also, surveys indicate that a high percentage of Child Safety Seats are not installed properly. Information updates for each station are reported to NHTSA and enterred by NHTSA staff. NHTSA staff will also attempt to validate the station locations using a comercial Geographic database so this data will, in most cases, be able to be used for driving directions.
Published By US Fish and Wildlife Service, Department of the Interior
Issued over 9 years ago
Summary
Description
This factsheet provides an overview of the Natural Resource Program Center and its role in the Refuge System.
Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
<p>Data Science is emerging as a critical area of research and technology to advance scientific discovery, knowledge and decision making through systematic computational approaches to analyzing massive data sets. The sheer volume of data increase, coupled with the highly distributed and heterogeneous nature of scientific data sets, is requiring new approaches for managing, analyzing and understanding data.&nbsp;&nbsp; The technology effort is focused on developing new software architectures, software tools, and computational methodologies which can improve the performance and automate the extraction of key features, anomalies and patterns in the data to support the big data challenges emerging from observational instruments and systems.&nbsp;&nbsp;</p>
Published By National Aeronautics and Space Administration
Issued over 9 years ago
Summary
Description
Precision Combustion, Inc. (PCI) proposes to develop an extremely compact, lightweight and regenerable Microlith<SUP>REG</SUP> catalytic CO2 reduction reactor, capable of converting mixtures of CO2 and H2 to carbon and water vapor with high CO2 conversions at high throughputs and at low operating temperatures. This is based on a novel catalytic reactor approach with high heat and mass transfer, high conversion efficiency, narrow temperature distribution, and novel approaches to carbon removal. The utilization of carbon dioxide to produce life support consumables, such as O2 and H2O, via Bosch reaction offers a potential advance for NASA's cabin atmosphere revitalization system (ARS) and in-situ resource utilization (ISRU) concepts for long-term manned space missions. Current Bosch reactor designs suffer from a large recycle penalty due to slow reaction rates and the inherent limitation in approaching thermodynamic equilibrium, plus significant challenge in carbon removal. PCI's short contact time catalysts offer the potential for faster reaction rates, higher conversions and a reduced need for recycle. In addition, strategies will be explored for more effective mechanical and chemical approaches to carbon removal and catalyst regeneration. The approach offers a potential for an ultra-compact Bosch reactor with improved effectiveness and robustness, with lower pressure drop and power requirement.
Published By Social Security Administration
Issued over 9 years ago
Summary
Description
The Standard Administrative Code (SAC) is an alphanumeric set of characters assigned to every formal organizational component of the Social Security Administration.
Published By National Park Service, Department of the Interior
Issued over 9 years ago
Summary
Description
The Petrified Forest National Park Vegetation Map Database was developed as a primary product in the Petrified Forest National Park Vegetation Classification, Distribution, and Mapping project. The map database maps vegetation at four levels of thematic organization at the park: the base, group, macro-group, and management map classes. Most of the base map classes represent plant communities identified to National Vegetation Classification associations. The associated report, Vegetation Classification and Distribution Mapping Report: Petrified Forest National Park, describes in detail the methods used to develop the map database and map classes. The project was sponsored by the USA-National Vegetation Mapping Program and the National Park Service (NPS) Southern Colorado Plateau Network and the work was executed by a multi-agency and organizational team. The vegetation map database covers the park and an approximately 1 kilometer buffer around the park boundary.
Published By U.S. Geological Survey, Department of the Interior
Issued over 9 years ago
Summary
Description
A study was made of the composition, grain-size distribution, and organic content of grab samples collected from Boston Harbor. In general, the coarsest mean sizes occur in the channels scoured by dredging or tidal action, and the finest in areas where no dredging has occurred and where tidal velocities are at a minimum.
Published By Federal Emergency Management Agency, Department of Homeland Security
Issued over 9 years ago
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.
Bioavailability of Environmental Contaminants on the Upper Mississippi River National Wildlife and Fish Refuge Associated with Water Level Management on Upper Mississippi River Pool 8
Published By US Fish and Wildlife Service, Department of the Interior
Issued over 9 years ago
Summary
Description
The U.S. Army Corps of Engineers coordinated with a variety of state and federal resource management agencies, the river transportation industry, and the public to conduct a water drawdown on Navigation Pool 8 of the Upper Mississippi River during the summers of 2001 and 2002 to increase aquatic vegetation production and thereby improve fish and wildlife habitat on the Upper Mississippi River National Wildlife Fish Refuge. Flooding of previously dried wetlands, however, may increase the rate of mercury methylation and make mercury more available to terrestrial vertebrates that feed in aquatic environments. Our objective was to determine if mercury, other elements, and organochlorine contaminants were more available to vertebrates following the 2001 drawdown. Tree swallow Tachycineta bicolor eggs and nestlings were collected at two sites on Pool 8 and a nearby reference site in 2000 pre2001 drawdown, 2001 pre2001 drawdown and 2002 post2001 drawdown and tissues were analyzed for mercury, other elements, and organochlorine contaminants. Bioindicator measurements of genetic damage, oxidative stress, ethoxyresorufinOdealkylase activity, and the ratio of liver to nestling mass were also measured in nestlings at all sites and all years. Based on a multivariate analysis, the 2001 drawdown of Pool 8 did not influence element concentrations, organochlorine concentrations, or bioindicator response. Concentrations of inorganic and organochlorine contaminants in tree swallow eggs and nestlings were not at toxic levels. Hatching success did not differ among years and was comparable to the nationwide average. These results demonstrated that the Pool 8 drawdown achieved Refuge habitat management goals without increasing risks due to enhanced contaminant bioavailability. However, resource managers should not assume that the same results will be realized in other UMR navigation pools with higher levels of environmental contaminants andor a different drawdown scenario. Results may also be used to assist environmental education and to inform other habitat enhancement projects within Pool 8.
Published By National Oceanic and Atmospheric Administration, Department of Commerce
Issued over 9 years ago
Summary
Description
The goal of this initiative is to develop a digital data base that contains all available bathymetric data north of 64 degrees North, for use by mapmakers, researchers, and others whose work requires a detailed and accurate knowledge of the depth and the shape of the Arctic seabed. Initiated in 1997, this undertaking has so far engaged the volunteer efforts of investigators who are affiliated with eleven institutions in eight countries: Canada, Denmark, Germany, Iceland, Norway, Russia, Sweden, and the USA. The activity has also been endorsed and/or supported financially by the Intergovernmental Oceanographic Commission (IOC), the International Arctic Science Committee (IASC), the International Hydrographic Organization (IHO), the US Office of Naval Research (ONR), and the US National Geophysical Data Center (NGDC). Version 2.23 of the IBCAO Grid is now available for downloading along with maps that are suitable for plotting. This new update is the most comprehensive since the first release of IBCAO in 2000 and includes the recent years of multibeam mapping. The resolution of the Polarstereographic grid has been increased from 2.5 km to 2 km.
Published By U.S. Geological Survey, Department of the Interior
Issued over 9 years ago
Summary
Description
This map layer is a grid map of 1993 average vegetation growth for Alaska and the conterminous United States. The nominal spatial resolution is 1 kilometer and the map layer is based on 1-kilometer AVHRR data. The data were compiled by staff at the USGS Center for Earth Resources Observation and Science.
Field Plot and Accuracy Assessment Points for Fort Union National Monument Vegetation Mapping Project
Published By National Park Service, Department of the Interior
Issued over 9 years ago
Summary
Description
Accuracy Assessment, Observation and Plot Points. As of December 2009, the accuracy assessment analysis has not been completed.
Published By Department of Labor
Issued over 9 years ago
Summary
Description
The Quarterly Census of Employment and Wages (QCEW) program publishes a quarterly count of employment and wages reported by employers covering 98 percent of U.S. jobs, available at the county, MSA, state and national levels by industry. More information and details about the data provided can be found at http://www.bls.gov/cew
Published By National Oceanic and Atmospheric Administration, Department of Commerce
Issued over 9 years ago
Summary
Description
NOAA CoastWatch provides SST data from NASA's Aqua Spacecraft. Measurements are gathered by the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard the spacecraft. Currently, only daytime imagery is supported.
Published By Federal Emergency Management Agency, Department of Homeland Security
Issued over 9 years ago
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).
Published By Federal Emergency Management Agency, Department of Homeland Security
Issued over 9 years ago
Summary
Description
The Flood Insurance Rate Map (FIRM) 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 FIRM Database is derived from Flood Insurance Studies (FISs), previously published 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). This file is georeferenced to the Earth's surface using the Geographic Coordinate System (GCS) and North American Datum of 1983 (NSRS-2007).
Published By US Fish and Wildlife Service, Department of the Interior
Issued over 9 years ago
Summary
Description
Part I of this plan outlines the history, background, environment, administration, land status, current management direction, and agreementspermits of Shiawassee NWR. Part II summarizes Refuge objectives and management strategies.
Published By U.S. Department of Health & Human Services
Issued over 9 years ago
Summary
Description
The Percent of Estimated Eligible Uninsured People for Outreach Targeting
Published By Federal Emergency Management Agency, Department of Homeland Security
Issued over 9 years ago
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).
Published By National Oceanic and Atmospheric Administration, Department of Commerce
Issued over 9 years ago
Summary
Description
This data set contains sensitive biological resource data for reef, marine, estuarine, and native stream fish species in coastal Hawaii. Vector polygons in this data set represent fish distribution. Species-specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer. This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for Hawaii. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the FISHPT (Fish Points) data layer, part of the larger Hawaii ESI database, for additional fish information.
Published By U.S. Geological Survey, Department of the Interior
Issued over 9 years ago
Summary
Description
This map layer portrays the county boundaries of the United States, Puerto Rico, and the U.S. Virgin Islands, by showing the counties as areas. The map layer was created by extracting county polygon features from the CENSUS 2006 TIGER/Line files produced by the U.S. Census Bureau. These files were then merged into a single file. This is a revised version of the July 2012 map layer.
Summary
Description
REDACTED-EX B3