AndreaBozzo/ceres-open-data-index huggingface dataset:
C-CAP Territory of American Samoa (Tutuila) 2003-2010 Land Cover Change Analysis

This data set contains the 2003 and 2010 classifications of Territory of American Samoa (Tutuila) derived from high resolution imagery and were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. This data set which utilized 7 partial Quickbird multispectral scenes and 24 full or partial 2010 WorldView2 multispectral scenes, was analysed to detect C-CAP land cover features on Tutuila, American Samoa.

Tags: airplane, american samoa, c-cap, cameras, central pacific ocean, change detection analysis, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, land cover analysis, land surface, land use/land cover, land use/land cover classification, national ocean service, noaa, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, u.s. department of commerce, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Developing New Ways to Analyze Reserve Monitoring Data - NERRS/NSC(NERRS Science Collaborative)

This project will provide research staff members from the mid-Atlantic reserves with targeted tools, graphical support, and training to facilitate the use of reserve monitoring data. The project team will focus on deciphering trends in water quality parameters, which are related to management issues such as storm surge mitigation. Through workshops and the development of statistical applications, this project will increase capacity to distill monitoring data into a format that resource managers can use. The project team will share their approach and project outputs with the larger reserve system, and collectively, these efforts will demonstrate the value of the reserve monitoring program. This science transfer project was funded by NOAA through the National Estuarine Research Reserve System Science Collaborative to promote the use of science. It did not produce any new data.

Tags: analysis, biosphere, coastal, coastal processes, doc/noaa/nos/ocm, earth science, ecosystems, environmental governance/management, human dimensions, jacques cousteau nerr, marine ecosystems, national ocean service, nerrs, nj, noaa, oceans, office of coastal management, storm surge, tools, training, u.s. department of commerce
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, United States Virgin Islands, St Thomas, 2012

This data set consists of land cover derived from high resolution imagery and was analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. This data set utilized CIR imagery captured from Microsoft UltraCAM X (2010-11 flights) and Z/I Imaging DMC-II 230 (2012 flights) digital sensors. The land cover is based on the 2007 high resolution St. Thomas C-CAP dataset. Changes were identified using aerial photo interpretation of the 2007 dataset against the 2010-2012 imagery.

Tags: airplane, atlantic ocean, c-cap, cameras, caribbean sea, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, national ocean service, noaa, north atlantic ocean, ocean, office of coastal management, remotely sensed imagery/photos, st thomas, u.s. department of commerce, virgin islands, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Hudson River Sub-Bottom Profile Points

Hudson River Estuary Shallow Water Surveys. Subbottom Profile Points. Subbottom data was collected November 5 to December 15, 2009, in the estuary north from Saugerties to Troy.

Data Collection and Processing: Subbottom Data - Fugro utilized the EdgeTech SB216 Chirp subbottom profiler system for seismic data collection. This system was operated using a swept frequency range of 2-16 KHz, maximizing subsurface resolution within the very shallow near-surface material (1- 5 m beneath seafloor).

Subbottom data was processed and interpreted using Discover and SMT Kingdom software. The intent of the processing was to provide the NYSDEC with SEG-Y files that were properly filtered and spatially oriented to allow for near-surface interpretation of sediments in the Hudson River. Processing steps for the subbottom data included swell filtering to compensate for sea conditions during survey operations, compiling correct shotpoint navigation, and adjusting data gains for optimal interpretation. Subbottom data was used to assist in selecting sediment sampling locations.

Points were created every 300th trace (approximately 100 meters).

Original contact information: 
   Contact Name: John Ladd
   Contact Org: Hudson River National Estuarine Research Reserve, NYS DEC
   Phone: 845-889-4745
   Email: jxLadd@gw.dec.state.ny.us

Tags: benthic, biosphere, coastal, continent, doc/noaa/nos/ocm, earth science, ecosystems, estuary, hudson river, marine ecosystems, national ocean service, new york, noaa, north america, office of coastal management, profile, river none, shallow water, subbottom, tracklines, u.s. department of commerce, united states of america, usa
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Green Infrastructure for a Sustainable New Hampshire - NERRS/NSC(NERRS Science Collaborative)

Rivers and streams flow across the boundaries of 52 communities before reaching New Hampshireâs Great Bay. As they travel through each community, they collect pollution from stormwater runoff and deliver it to the bay, where its impact is already evident in declining fisheries and the increase of invasive algae. With development on the rise, the regional climate in flux, and regulatory pressure to address water quality mounting, more effective stormwater management has become a top priority for decision makers.

Tags: biosphere, doc/noaa/nos/ocm, earth science, ecosystems, estuary, great bay, green infrastructure, marine ecosystems, national ocean service, nerrs, nh, noaa, office of coastal management, runoff, stormwater, u.s. department of commerce, water quality
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2016 USGS West Coast El-Nino Lidar (WA, OR, CA)

Towill collected approximately 75 square miles of coast in Oregon, 486 square miles of coast in Washington and California, and an additional 44 square miles for USACE defined harbors. The data was collected in a corridor approximately 500 meters wide. The nominal pulse spacing for this project was 1 point every 0.35 meters.  Dewberry used proprietary procedures to classify the LAS according to project specifications:  0-Never Classified, 1-Unclassified, 2-Ground, 7-Low Noise, 9-Water, 10-Ignored Ground due to breakline proximity, 17- Bridges, 18-High Noise, 64- Flown Outside of Low Tide Window and 65- Temporal Ground. Dewberry produced 3D breaklines and combined these with the final LiDAR data to produce seamless DEMs for the project area. The data was formatted according to the USNG tile naming convention with each tile covering an area of 1,500 meters by 1,500 meters.  A total of 2377 UTM 10 DEM and LAS tiles and 487 UTM 11 DEM and LAS tiles were produced for the project.
Original contact information: 
   Contact Org: USGS
   Title: Program Manager
   Phone: (303)202-4419
   Email: kyoder@usgs.gov

Tags: bare earth, bathymetry/seafloor topography, california, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, land surface, lidar, national ocean service, noaa, north america, oceans, office of coastal management, oregon, seafloor topography, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america, washington
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP USVI, St. Croix 2007-2012 Land Cover Change Analysis

This data set contains the 2007 and 2012 classifications of St. Croix and can be used to analyze change. This data set utilized CIR imagery captured from Microsoft UltraCAM X (2011 flights) and Z/I Imaging DMC-II 230 (2012 flights) digital sensors and the 2007 high resolution St. Croix C-CAP dataset which were analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover.

Tags: airplane, atlantic ocean, c-cap, cameras, caribbean sea, change detection analysis, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, land cover analysis, land surface, land use/land cover, land use/land cover classification, national ocean service, noaa, north atlantic ocean, ocean, office of coastal management, remotely sensed imagery/photos, st. croix, u.s. department of commerce, united states virgin islands, virgin islands, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal Change Analysis Program (C-CAP) 2015/2016 Regional Land Cover Data - Contiguous United States

NOAA's Coastal Change Analysis Program (C-CAP) produces national standardized land cover and land change information for the coastal regions of the U.S.  C-CAP products inventory coastal intertidal areas, wetlands, and adjacent uplands with the goal of monitoring changes in these habitats every five years. NOAA plans to contract out for the development of land cover change data based on 2015 and 2016 Landsat satellite imagery (30 meter resolution).  It is anticipated that contract awards will be made between March of 2016 and August of 2019, and that at least 1/5th of the Contiguous United States will be awarded each fiscal year, or until a full update has been complete.

Tags: alabama, california, connecticut, delaware, doc/noaa/nos/ocm, florida, georgia, illinois, indiana, landsat thematic mapper, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, national ocean service, new hampshire, new jersey, new york, noaa, north carolina, office of coastal management, ohio, oregon, pennsylvania, planned, planned data acquisition, rhode island, south carolina, texas, u.s., u.s. coastal zone, u.s. department of commerce, vermont, virginia, washington, wisconsin
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2005 Hawaii IfSAR Digital Terrain Model (DTM)

Intermap DEMs populate its data store. The DEM products are generated using Intermap's STAR technology (Interferometric Synthetic Aperture Radar). The system is mounted in an aircraft. The Digital Terrain Model (DTM) data product was derived from the Digital Surface Model (DSM) using Intermap's proprietary algorithm. The DTM data for 7.5-minute by 7.5-minute units correspond to the USGS 1:24,000 scale topographic quadrangle map series for areas in the United States and throughout the world. Each tile provides full coverage with overlap into adjacent tiles. Data for locations above 56 degrees North/South are licensed in 7.5-minute by 15-minute tiles.
Original contact information: 
   Contact Org: Intermap Technologies Inc.
   Title: Data Archive Manager
   Phone: (303) 708-0955
   Email: info@intermap.com

Tags: 2005, bald, bathymetry/topography, cartography, coastal elevation, coastal processes, continent, dem, dems, doc/noaa/nos/ocm, dsm, dtm, earth, earth science, elevation, first, geodesy, geography, geosar, ground, hawaii, height, hypsography, ifsar, ifsare, insar, interferometric, land surface, mapping, national ocean service, noaa, north america, oceans, october, office of coastal management, ori, orri, photogrammetry, radar, remote, sar, sensing, star-3i(reg.), stereophotogrammetry, surface, terrain, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america, usa
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2006 Florida LiDAR: Escambia, Santa Rosa, and Walton Counties

ESCAMBIA: The Light Detection and Ranging (LiDAR) LAS dataset is a survey of select areas within Escambia County, Florida.
These data were produced for Dewberry and Davis LLC. The Escambia County LiDAR Survey project area consists of approximately 803
square miles. The LiDAR point cloud was flown at a density sufficient to support a maximum final post spacing of 6 feet for
unobscured areas. Land Air mapping acquired 110 flightlines between June 21, 2006 and July 18, 2006. The data was divided into
5000' by 5000' foot cells that serve as the tiling scheme. The Escambia County LiDAR Survey was collected under the guidance of a
Professional Mapper/Surveyor.
Dates of Collection:   20060621-20060718 Contractor: Dewberry and Davis, LLC

SANTA ROSA: LiDAR data collection was performed utilizing a Leica ALS-50 sensor, collecting multiple return x, y, and z data
as well as intensity data. LiDAR data was processed to achieve a bare ground surface. LiDAR data was delivered in LAS format.
Dates of Collection:   20060112-20060228 Contractor: Photo Science, Inc.

WALTON: LIDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. Using a
combination of laser range finding, GPS positioning and inertial measurement technologies; LIDAR instruments are able to make
highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures and vegetation.  This data of Walton
County, Florida, was collected at sub-meter resolution to provide average point spacing of 0.7m for collected points.  Up to 5
returns were recorded for each pulse in addition to an intensity value. No data for Eglin AFB, permission to fly over was ever
granted.
Dates of Collection:   20060710-11, 19-20, 22-23, 26-29, 20060801, 03, 06-07, 13, 15, 17 Contractor: Sanborn

Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: 2006, bathymetry/seafloor topography, coastal elevation, coastal processes, continent, contour, doc/noaa/nos/ocm, earth science, florida, height, intensity, land surface, lidar, national ocean service, noaa, north america, oceans, office of coastal management, seafloor topography, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
C-CAP Land Cover, Commonwealth of the Northern Mariana Islands (CNMI), Guguan, 2004

This data set consists of land derived from high resolution imagery and was analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. This data set utilized 1 full Quickbird multispectral scene which was processed to detect C-CAP land cover features on Guguan, CNMI.

Tags: airplane, c-cap, cameras, cnmi, coastal zone, digitalglobe worldview-2, digitalglobe worldview-3, doc/noaa/nos/ocm, earth science, guguan, land cover, land cover analysis, land surface, land use/land cover, land use/land cover classification, micronesia, national ocean service, noaa, northern mariana islands, ocean, office of coastal management, pacific ocean, remotely sensed imagery/photos, u.s. department of commerce, western pacific ocean, worldview-2, worldview-3
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Social Vulnerability Index (SoVI) for Connecticut based on 2000 Census Block Groups

This data depicts the social vulnerability of Connecticut census block groups to environmental hazards.  Data were culled primarily from the 2000 Decennial Census.

Tags: census block groups, coastal areas, coastal states, comparative index, connecticut, continent, demographic, demographics, doc/noaa/nos/ocm, earth science, environmental hazards, hazard mitigation/planning, household income, human dimensions, human settlements, indicators, national ocean service, noaa, north america, office of coastal management, population, population estimates, poverty levels, resilience, social behavior, social vulnerability index, socioeconomics, u.s. department of commerce, united states, united states of america, vulnerability, vulnerability levels/index
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
2014 City of Camilla, GA DMC 4-Band 8 Bit Imagery

This data set consists of six-inch pixel resolution, natural color orthoimages covering the urban area footprint.  An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation have been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map.  Each orthoimage provides imagery over a 5000-foot by 5000-foot block on the ground. There is no image overlap between adjacent files. The projected coordinate system is Georgia State Plane West (FIPS 1002) feet with a NAD83 datum.

Tags: 6 inch orthoimage, airplane, cameras, continent, doc/noaa/nos/ocm, earth science, ga, georgia, image map, imagery, infrared imagery, infrared wavelengths, national ocean service, natural color orthophoto, noaa, north america, office of coastal management, orthoimage, orthophoto, rectified image, rectified photograph, spectral/engineering, u.s. department of commerce, united states of america, us, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
San Francisco Bay Interferometric Side Scan Imagery: Area B

High resolution sonar data were collected over ultra-shallow areas of the San Francisco Bay estuary system. Bathymetric and acoustic backscatter data were collected simultaneously in 10 survey blocks.  All of these blocks were surveyed with 100% cover of backscatter imagery.  These data were collected as source material for planned benthic habitat mapping.  An earlier project had been completed to map the very-shallow subtidal and intertidal areas using optical methods. Interferometric sidescan backscatter data were acquired using a 468 kHz Bathyswath sonar system aboard the RV MacGinitie and RV Kelpfly.  Both of these platforms were well suited to acquire data in the very shallow subtidal areas of the bay.
Original contact information: 
   Contact Name: Jen Eckerle
   Contact Org: Ocean Protection Council (OPC)
   Title: Deputy Director, Ocean Protection Council
   Phone: 916-653-9416
   Email: jen.eckerle@resources.ca.gov

Tags: backscatter, benthic, biosphere, california, california ocean protection council, california seafloor mapping program (csmp), coastal, continent, contra costa county, doc/noaa/nos/ocm, earth science, ecosystems, estuary, interferometric sonar, marin county, marine ecosystems, national ocean service, noaa, north america, office of coastal management, san francisco county, san mateo county, solano county, u.s. department of commerce, united states, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
1998 Fall Gulf Coast NOAA/USGS/NASA Airborne LiDAR Assessment of Coastal Erosion (ALACE) Project for the US Coastline

This data set includes data collected during Fall 1998 and covers coastlines of the states of Louisiana, Mississippi,
Alabama, and Florida.
Laser beach mapping uses a pulsed laser ranging system mounted onboard an aircraft to measure ground
elevation and coastal topography. The laser emits laser beams at high frequency and is directed downward at the
earth's surface through a port opening in the bottom of the aircraft's fuselage. The laser system records the
time difference between emission of the laser beam and the reception of the reflected laser signal in the
aircraft. The aircraft travels over the beach at approximately 60 meters per second while surveying from
the low water line to the landward base of the sand dunes.

Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: alabama, bathymetry/seafloor topography, beach, coastal elevation, coastal processes, continent, doc/noaa/nos/ocm, earth science, erosion, florida, land surface, lidar, lousiana, mississippi, national ocean service, noaa, north america, oceans, office of coastal management, seafloor topography, terrain elevation, topographical relief maps, topography, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Coastal California Digital Imagery

This digital ortho-imagery dataset is a survey of coastal California.  The project area consists of approximately 3774 square miles.  The project design of the digital ortho-imagery data acquisition was developed to achieve a 30 cm pixel resolution.  Fugro EarthData, Inc. acquired 289 flight lines in 36 lifts from August 26, 2010 through November 29, 2010.  Digital ortho-imagery data collection was performed with Conquest and King Air aircrafts, utilizing a Leica ADS40-SH52 sensor.  During the time of image acquisition at least two dual frequency GPS receivers are utilized.  One receiver, acting as the remote, was operated on board the aircraft with the antenna located over the camera.  For differential GPS processing, a second receiver was used on land as the base station. These receivers were in constant operation during the imagery collection and GPS phase data was collected at an epoch rate of at least 1 second.  After processing the differential GPS solution by using the remote and master station a final estimated trajectory is generated.  The smoothed best estimate trajectory, or sbet, is then in combination with ground surveyed points to strengthen the geospatial accuracy of the imagery.  The digital ortho-imagery was cut to tiles measuring 1500 meters by 1500 meters.
Original contact information: 
   Contact Org: NOAA Office for Coastal Management
   Phone: 843-740-1202
   Email: coastal.info@noaa.gov

Tags: ads40-sh52, aerotriangulation (at), airplane, california, cameras, coastal california, continent, digital ortho-imagery, digital surface model (dsm), doc/noaa/nos/ocm, earth science, imagery, infrared imagery, infrared wavelengths, national ocean service, noaa, north america, office of coastal management, ortho, orthoimage, orthophoto, orthophotography, spectral/engineering, u.s. department of commerce, united states of america, us, visible imagery, visible wavelengths
Organization: National Oceanic and Atmospheric Administration, Department of Commerce