This dataset corresponds to a reformatting of the SRTM30_PLUS digital elevation dataset from 33 NetCDF files into a single GeoTiff for use in GIS applications. No other modifications to the data …Show full descriptionThis dataset corresponds to a reformatting of the SRTM30_PLUS digital elevation dataset from 33 NetCDF files into a single GeoTiff for use in GIS applications. No other modifications to the data were done. The rest of this metadata describes the original SRTM30_PLUS dataset itself. This dataset is a 30-arc second resolution global topography/bathymetry grid (SRTM30_PLUS) developed from a wide variety of data sources. Land and ice topography comes from the SRTM30 and ICESat topography, respectively. Ocean bathymetry is based on a new satellite-gravity model where the gravity-to-topography ratio is calibrated using 298 million edited soundings. The main contribution of this dataset is the compilation and editing of the raw soundings, which come from NOAA, individual scientists, SIO, NGA, JAMSTEC, IFREMER, GEBCO, and NAVOCEANO. The SRTM30_PLUS dataset developed by Scripps Institute Of Oceanography, University of California San Diego (UCSD). Land data are based on the 1-km averages of topography derived from the USGS SRTM30 grided DEM data product created with data from the NASA Shuttle Radar Topography Mission. GTOPO30 data are used for high latitudes where SRTM data are not available. Ocean data are based on the Smith and Sandwell global 1-minute grid between latitudes +/- 81 degrees. Higher resolution grids have been added from the LDEO Ridge Multibeam Synthesis Project, the JAMSTEC Data Site for Research Cruises, and the NGDC Coastal Relief Model. Arctic bathymetry is from the International Bathymetric Chart of the Oceans (IBCAO) [Jakobsson et al., 2003]. This data consists of 33 files of global topography in the same format as the SRTM30 products distributed by the USGS EROS data center. The grid resolution is 30 second which is roughly one kilometer. In addition the global data are also available in a single large file ready for GMT and as 33 NetCDF files. The e-Atlas has also merged and formatted the data as a single GeoTiff file with overviews (1.6 GB). The pixel-registered data are stored in 33 files with names corresponding to the upper left corner of the array shown below. The data are also merged into a single large (1.9 Gbyte, 2-byte integer) file as well as smaller 1-minute and 2-minute netcdf versions. Matching files of source identification number are available for determining the data source for every pixel. This new version (v8.0) includes all of the multibeam bathymetry data collected by U.S. research vessels over the past three decades including 287 Scripps expeditions from research vessels Washington, Melville and Revelle. UCSD undergraduate student Alexis Shakas processed all the U.S. multibeam data and then worked with Google researchers on the global integration. The data is available from UCSD FTP server as 33 NetCDF files and from the e-Atlas as a merged GeoTiff. If you are after high resolution bathymetry/elevation data for regional areas please check the related links. Reference, sounding data: Becker, J. J., D. T. Sandwell, W. H. F. Smith, J. Braud, B. Binder, J. Depner, D. Fabre, J. Factor, S. Ingalls, S-H. Kim, R. Ladner, K. Marks, S. Nelson, A. Pharaoh, R. Trimmer, J. Von Rosenberg, G. Wallace, P. Weatherall., Global Bathymetry and Elevation Data at 30 Arc Seconds Resolution: SRTM30_PLUS, Marine Geodesy, 32:4, 355-371, 2009. http://topex.ucsd.edu/sandwell/publications/124_MG_Becker.pdf Reference, gravity data: Sandwell, D. T., and W. H. F. Smith, Global marine gravity from retracked Geosat and ERS-1 altimetry: Ridge Segmentation versus spreading rate, J. Geophys. Res., 114, B01411, doi:10.1029/2008JB006008, 2009. http://dx.doi.org/10.1029/2008JB006008 eAtlas Processing: A set of Batch scripts were developed to perform the conversion of the data from NetCDF to GeoTiff and the generation of the hillshading. This processing was based on the GDAL command line tools. Full details of the processing can be found in the downloadable Scripts associated with this dataset. Data Location: This dataset is filed in the eAtlas enduring data repository at: data\NERP-TE\13.1_eAtlas\World_UCSD_SRTM30-plus

This dataset contains an ESRI Geotiff with 3 meter cell size representing the bathymetry of selected portions of seafloor around Tourmaline Bank in Puerto Rico, derived from data collected in 2008. NOAA's NOS/NCCOS/CCMA Biogeography Branch, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in Puerto Rico from 2/25/08 to 3/8/08. Data was acquired with a hull-mounted Kongsberg Simrad EM 1002 multibeam echosounder (95 kHz) in 2008. It was processed by a NOAA contractor using CARIS HIPS software. Data has all correctors applied (attitude, sound velocity) and has been reduced to mean lower low water (MLLW) using final approved tides and zoning from NOAA COOPS. Data is in UTM zone 19 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle. An ASCII XYZ file was exported from the BASE surface and imported to ESRI ArcMap 9.2 using the 'Convert XYZ to Raster' tool developed by CCMA for this purpose. This was used to produce the final bathymetry geotiff. The project was conducted to meet IHO Order 1 and 2 accuracy standards, dependent on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.

Digital Elevation Models (DEM's) for the 2017 San Mateo LiDAR project covering approximately 578 square miles in San Mateo County, CA. This dataset meets QL2 accuracy and with 4 points per meter pulse density. To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments, and hydrologic modeling. LAS and bare earth DEM data products are suitable for 1 foot contour generation. USGS LiDAR Base Specification 1.2, QL2. Project Projection, Datums and Units. Projection - State Plane California III FIPS 0403. Horizontal datum - North American Datum of 1983 (NAD83). Vertical datum - North American Vertical Datum of 1988 (NAVD88) using the latest geoid (Geoid12a) for converting ellipsoidal heights to orthometric heights. Units - US feetThe full metadata file in .xml format can be viewed here: DEM_Metadata

This dataset contains an ESRI Geotiff with 1 meter cell size representing the bathymetry of an inshore portion of the NPS's Virgin Islands Coral Reef National Monument, south of St. John, US Virgin Islands.NOAA's NOS/NCCOS/CCMA Biogeography Team, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in the US Virgin Islands from 2/1/05 to 2/12/05. Data was acquired with a pole-mounted Reson 8101 ER multibeam echosounder (240 kHz) and processed by a NOAA contractor using CARIS HIPS v5.4 software. Data has all correctors applied (attitude, sound velocity) and has been reduced to mean lower low water (MLLW) using final approved tides and zoning from NOAA COOPS. Data is in UTM zone 20 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle. An ASCII XYZ file was exported from the BASE surface and opened in ESRI ArcMap 9 as an XY event. Then the ArcToolbox conversion tool 'Feature to Raster' was used to generate the final ESRI Geotiff.The project was conducted to meet IHO Order 1 and 2 accuracy standards, dependant on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.

(SEE SUPPLEMENTAL INFORMATION SECTION FOR FILE-SPECIFIC INFORMATION.)Digital orthophoto quarter-quads are now available for most of the United States and its Territories. Quarter-quad DOQs cover an area measuring 3.75-minutes longitude by 3.75-minutes latitude. Quarter-quad DOQs are available in both Native and GeoTIFF formats. Native format consists of an ASCII keyword header followed by a series of 8-bit binary image lines for B/W and 24-bit band-interleaved-by-pixel (BIP) for color. DOQs in native format are cast to the Universal Transverse Mercator (UTM) projection and referenced to either the North American Datum (NAD) of 1927 (NAD27) or the NAD of 1983 (NAD83). GeoTIFF format consists of a georeferenced Tagged Image File Format (TIFF), with all geographic referencing information embedded within the .tif file. DOQs in GeoTIFF format are cast to the UTM projection and referenced to NAD83. The average file size of a B/W quarter quad is 40-45 megabytes, and a color file is generally 140-150 megabytes. Quarter-quad DOQs are distributed on CD-ROM, DVD, and File Transfer Protocol (FTP) as uncompressed files.A downloadable software is available (DOQQ-to-GeoTIFF conversion) which will convert a DOQ image from Native to GeoTIFF format in either NAD27 or NAD83. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.

This dataset contains an ESRI Geotiff with 1 meter cell size representing the bathymetry of the Mid Shelf Reef south of St. Thomas, US Virgin Islands.NOAA's NOS/NCCOS/CCMA Biogeography Team, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in the US Virgin Islands from 2/1/05 to 2/12/05. Data was acquired with a pole-mounted Reson 8101 ER multibeam echosounder (240 kHz) and processed by a NOAA contractor using CARIS HIPS v5.4 software. Data has all correctors applied (attitude, sound velocity) and has been reduced to mean lower low water (MLLW) using final approved tides and zoning from NOAA COOPS. Data is in UTM zone 20 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle. An ASCII XYZ file was exported from the BASE surface and opened in ESRI ArcMap 9 as an XY event. Then the ArcToolbox conversion tool 'Feature to Raster' was used to generate the final ESRI Geotiff.The project was conducted to meet IHO Order 1 and 2 accuracy standards, dependant on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.

Sentinel2GlobalLULC is a deep learning-ready dataset of RGB images from the Sentinel-2 satellites designed for global land use and land cover (LULC) mapping. Sentinel2GlobalLULC v2.1 contains 194,877 images in GeoTiff and JPEG format corresponding to 29 broad LULC classes. Each image has 224 x 224 pixels at 10 m spatial resolution and was produced by assigning the 25th percentile of all available observations in the Sentinel-2 collection between June 2015 and October 2020 in order to remove atmospheric effects (i.e., clouds, aerosols, shadows, snow, etc.). A spatial purity value was assigned to each image based on the consensus across 15 different global LULC products available in Google Earth Engine (GEE).

Our dataset is structured into 3 main zip-compressed folders, an Excel file with a dictionary for class names and descriptive statistics per LULC class, and a python script to convert RGB GeoTiff images into JPEG format. The first folder called "Sentinel2LULC_GeoTiff.zip" contains 29 zip-compressed subfolders where each one corresponds to a specific LULC class with hundreds to thousands of GeoTiff Sentinel-2 RGB images. The second folder called "Sentinel2LULC_JPEG.zip" contains 29 zip-compressed subfolders with a JPEG formatted version of the same images provided in the first main folder. The third folder called "Sentinel2LULC_CSV.zip" includes 29 zip-compressed CSV files with as many rows as provided images and with 12 columns containing the following metadata (this same metadata is provided in the image filenames):

• Land Cover Class ID: is the identification number of each LULC class
• Land Cover Class Short Name: is the short name of each LULC class
• Image ID: is the identification number of each image within its corresponding LULC class
• Pixel purity Value: is the spatial purity of each pixel for its corresponding LULC class calculated as the spatial consensus across up to 15 land-cover products
• GHM Value: is the spatial average of the Global Human Modification index (gHM) for each image
• Latitude: is the latitude of the center point of each image
• Longitude: is the longitude of the center point of each image
• Country Code: is the Alpha-2 country code of each image as described in the ISO 3166 international standard. To understand the country codes, we recommend the user to visit the following website where they present the Alpha-2 code for each country as described in the ISO 3166 international standard:https: //www.iban.com/country-codes
• Administrative Department Level1: is the administrative level 1 name to which each image belongs
• Administrative Department Level2: is the administrative level 2 name to which each image belongs
• Locality: is the name of the locality to which each image belongs
• Number of S2 images : is the number of found instances in the corresponding Sentinel-2 image collection between June 2015 and October 2020, when compositing and exporting its corresponding image tile

For seven LULC classes, we could not export from GEE all images that fulfilled a spatial purity of 100% since there were millions of them. In this case, we exported a stratified random sample of 14,000 images and provided an additional CSV file with the images actually contained in our dataset. That is, for these seven LULC classes, we provide these 2 CSV files:

• A CSV file that contains all exported images for this class
• A CSV file that contains all images available for this class at spatial purity of 100%, both the ones exported and the ones not exported, in case the user wants to export them. These CSV filenames end with "including_non_downloaded_images".

To clearly state the geographical coverage of images available in this dataset, we included in the version v2.1, a compressed folder called "Geographic_Representativeness.zip". This zip-compressed folder contains a csv file for each LULC class that provides the complete list of countries represented in that class. Each csv file has two columns, the first one gives the country code and the second one gives the number of images provided in that country for that LULC class. In addition to these 29 csv files, we provided another csv file that maps each ISO Alpha-2 country code to its original full country name.

© Sentinel2GlobalLULC Dataset by Yassir Benhammou, Domingo Alcaraz-Segura, Emilio Guirado, Rohaifa Khaldi, Boujemâa Achchab, Francisco Herrera & Siham Tabik is marked with Attribution 4.0 International (CC-BY 4.0)

This dataset contains an ESRI Geotiff with 2 meter cell size representing the bathymetry of Grammanik Bank south of St. Thomas, US Virgin Islands.NOAA's NOS/NCCOS/CCMA Biogeography Team, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in the US Virgin Islands from 2/1/05 to 2/12/05. Data was acquired with a pole-mounted Reson 8101 ER multibeam echosounder (240 kHz) and processed by a NOAA contractor using CARIS HIPS v5.4 software. Data has all correctors applied (attitude, sound velocity) and has been reduced to mean lower low water (MLLW) using final approved tides and zoning from NOAA COOPS. Data is in UTM zone 20 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle. An ASCII XYZ file was exported from the BASE surface and opened in ESRI ArcMap 9 as an XY event. Then the ArcToolbox conversion tool 'Feature to Raster' was used to generate the final ESRI Geotiff.The project was conducted to meet IHO Order 1 and 2 accuracy standards, dependant on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.

This dataset contains an ESRI Geotiff with 6 meter cell size representing the bathymetry of selected portions of seafloor around Isla de Mona in Puerto Rico, derived from data collected in 2008. NOAA's NOS/NCCOS/CCMA Biogeography Branch, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in Puerto Rico from 2/25/08 to 3/8/08. Data was acquired with a hull-mounted Kongsberg Simrad EM 1002 multibeam echosounder (95 kHz) in 2008. It was processed by a NOAA contractor using CARIS HIPS software. Data has all correctors applied (attitude, sound velocity) and has been reduced to mean lower low water (MLLW) using final approved tides and zoning from NOAA COOPS. Data is in UTM zone 19 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle. An ASCII XYZ file was exported from the BASE surface and imported to ESRI ArcMap 9.2 using the 'Convert XYZ to Raster' tool developed by CCMA for this purpose. This was used to produce the final Geotiff. The project was conducted to meet IHO Order 1 and 2 accuracy standards, dependent on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.

This dataset contains an ESRI Geotiff with 3 meter cell size representing the bathymetry of a selected portion of seafloor south of Isla de Vieques in Puerto Rico, derived from data collected in 2008. NOAA's NOS/NCCOS/CCFHR, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in Puerto Rico from 3/27/08 to 4/5/08. Data was acquired with a hull-mounted Kongsberg Simrad EM 1002 multibeam echosounder (95 kHz). It was processed by a NOAA contractor using CARIS HIPS software. Data has all correctors applied (attitude, sound velocity) and has been reduced to mean lower low water (MLLW) using final approved tides and zoning from NOAA COOPS. Data is in UTM zone 20 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle. An ASCII XYZ file was exported from the BASE surface and imported to ESRI ArcMap 9.2 using the 'Convert XYZ to Raster' tool developed by NOS/NCCOS/CCMA for this purpose. This was used to produce the final Bathymetry Geotiff. The project was conducted to meet IHO Order 1 and 2 accuracy standards, dependent on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.

This dataset contains an ESRI Geotiff with 3 meter cell size representing the bathymetry of selected portions of seafloor around Isla de Mona in Puerto Rico, derived from data collected in 2008. NOAA's NOS/NCCOS/CCMA Biogeography Branch, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in Puerto Rico from 2/25/08 to 3/8/08. Data was acquired with a hull-mounted Kongsberg Simrad EM 1002 multibeam echosounder (95 kHz) in 2008. It was processed by a NOAA contractor using CARIS HIPS software. Data has all correctors applied (attitude, sound velocity) and has been reduced to mean lower low water (MLLW) using final approved tides and zoning from NOAA COOPS. Data is in UTM zone 19 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle. An ASCII XYZ file was exported from the BASE surface and opened in ESRI ArcMap 9.2 as an XY event. Then the 'Convert XYZ to Raster' tool, developed by CCMA for this purpose, was used to generate the final ESRI Geotiff. The project was conducted to meet IHO Order 1 and 2 accuracy standards, dependent on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.

This dataset contains an ESRI Geotiff with 10 meter cell size representing the bathymetry of selected portions of seafloor around Bajo De Cico in Puerto Rico, derived from data collected in 2007.NOAA's NOS/NCCOS/CCMA Biogeography Team, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in Puerto Rico from 4/14/07 to 4/24/07. Data was acquired with a hull-mounted Kongsberg Simrad EM 1002 (95 kHz) multibeam echosounder. It was processed by a NOAA contractor using CARIS HIPS software. Data has all correctors applied (attitude, sound velocity) and has been reduced to mean lower low water (MLLW) using final approved tides and zoning from NOAA COOPS. Data is in UTM zone 19 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle. An ASCII XYZ file was exported from the BASE surface and opened in ESRI ArcMap 9.x using an XYZ to raster tool to convert to an ESRI Geotiff. The project was conducted to meet IHO Order 1 and 2 accuracy standards, dependent on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.

This dataset contains an ESRI Geotiff with 1 meter cell size representing the bathymetry of the north shore of St. Croix (Buck Island), US Virgin Islands.NOAA's NOS/NCCOS/CCMA Biogeography Team, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in the US Virgin Islands from 2/1/05 to 2/12/05. Data was acquired with a pole-mounted Reson 8101 ER multibeam echosounder (240 kHz) and processed by a NOAA contractor using CARIS HIPS v5.4 software. Data has all correctors applied (attitude, sound velocity) and has been reduced to mean lower low water (MLLW) using final approved tides and zoning from NOAA COOPS. Data is in UTM zone 20 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle. An ASCII XYZ file was exported from the BASE surface and opened in ESRI ArcMap 9 as an XY event. Then the ArcToolbox conversion tool 'Feature to Raster' was used to generate the final ESRI Geotiff. The project was conducted to meet IHO Order 1 and 2 accuracy standards, dependant on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.

This dataset contains an ESRI Geotiff with 3 meter cell size representing the bathymetry of the southwest shore of La Parguera, Puerto Rico. NOAA's NOS/NCCOS/CCMA Biogeography Team, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in the US Virgin Islands and Puerto Rico from 3/21/06 to 4/2/06. Data was acquired with a hull-mounted Kongsberg Simrad EM 1002 multibeam echosounder (95 kHz) and processed by a NOAA contractor using CARIS HIPS software. Data has all correctors applied (attitude, sound velocity) and has been reduced to mean lower low water (MLLW) using final approved tides and zoning from NOAA COOPS. Data is in UTM zone 19 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle. An ASCII XYZ file was exported from the BASE surface and opened in ESRI ArcMap 9 as an XY event. Then the ArcToolbox conversion tool 'Feature to Raster' was used to generate the final ESRI Geotiff.The project was conducted to meet IHO Order 1 and 2 accuracy standards, dependant on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.

This dataset contains an ESRI Geotiff with 2 meter cell size representing the bathymetry of the a portion of the NPS's Salt River Bay National Historical Park and Ecological Reserve, north of St. Croix, US Virgin Islands.NOAA's NOS/NCCOS/CCMA Biogeography Team, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in the US Virgin Islands from 2/1/05 to 2/12/05. Data was acquired with a pole-mounted Reson 8101 ER multibeam echosounder (240 kHz) and processed by a NOAA contractor using CARIS HIPS v5.4 software. Data has all correctors applied (attitude, sound velocity) and has been reduced to mean lower low water (MLLW) using final approved tides and zoning from NOAA COOPS. Data is in UTM zone 20 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle. An ASCII XYZ file was exported from the BASE surface and opened in ESRI ArcMap 9 as an XY event. Then the ArcToolbox conversion tool 'Feature to Raster' was used to generate the final ESRI Geotiff.The project was conducted to meet IHO Order 1 and 2 accuracy standards, dependant on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.

The development plan contains the legally binding fixings for the urban planning order. In principle, the development plan must be developed from the land use plan. Development plan of the city of Mannheim, consisting of the surrounding area and a grid representation of the scanned plan in the format Geotiff.

The gbr100 dataset is a high-resolution bathymetry and Digital Elevation Model (DEM) covering the Great Barrier Reef, Coral Sea and neighbouring Queensland coastline. This DEM has a grid pixel size of 0.001-arc degrees (~100m) with a horizontal datum of WGS84 and a vertical datum of Mean Sea Level (MSL).

For the latest version of this dataset download the data from http://deepreef.org/bathymetry/65-3dgbr-bathy.html

This dataset was developed as part of the 3DGBR project.

This grid utilises the latest available multibeam, singlebeam, lidar and satellite bathymetry source datasets provided by Federal and State Government agencies, in addition to significant new multibeam data collected during research expeditions in the area.

The large increase in source bathymetry data added much detail to improving the resolution of the current Australian Bathymetry and Topography Grid (Whiteway, 2009). The gbr100 grid provides new insights into the detailed geomorphic shape and spatial relationships between adjacent seabed features.

The accompanying report contains an explanation of the various source datasets used in the development of the new grid, and how the data were treated in order to convert to a similar file format with common horizontal (WGS84) and vertical (mean sea level) datums. Descriptive statistics are presented to show the relative proportion of source data used in the new grid. The report continues with a detailed explanation of the pre-processing and gridding process methodology used to develop the grid. A description is also provided for additional spatial analysis on the new grid in order to derive associated grids and layers. The results section provides a short overview of the improvement of the new grid over the current Australian Bathymetry and Topography Grid (Whiteway, 2009). The report then presents the results of the new grid, called gbr100, and the associated derived map outputs as a series of figures. A table of metadata for the current source data accompanies this report as Appendix 1. The report is available at: http://www.deepreef.org/publications/reports/67-3dgbr-final.html

Data details and format:

gbr100 bathymetry grid: Height/Depth in metres (MSL) Formats: 19000x18000 pixel grid (32 bit float) in ESRI raster grid file, GMT/netCDF grid file, Fledermaus sd file, 100m contour ESRI shapefile, GeoTiff grid file.

Total Vertical Uncertainty: Total Vertical Uncertainty (TVU) in the bathymetry estimated from uncertainty classification of each source dataset. Formats: 19000x18000 pixel grid (32 bit float) in ESRI raster, GeoTiff.

Hillshading: Hillshading for full gbr100 and also ocean areas only. Derived from the gbr100 grid. Format: 19000x18000 pixel grid (8 bit) in GeoTiff.

Funding history:

This dataset was initially developed as part of project 2.5i.1 from the MTSRF program (2010).

Subsequent versions of the dataset were developed from other funding sources.

Version history:

• July 2010 - Version 1

• Dec 2014 - Version 3 This version incorporates dozens of new bathymetric surveys including many new navy LADS surveys and some satellite derived bathy to fill in some gaps left by LADS.

• Jan 2016 - Version 4 This version incorporates estimates of bathymetry from satellite imagery in shallow clear waters.

Data Location:

This dataset is filed in the eAtlas enduring data repository at: data\ongoing\GBR_JCU_Beaman_3DGBR-bathymetry-gbr100

eAtlas Processing:

To visualize this dataset on the eAtlas the format of the data was converted from the ESRI ArcInfo grid format into a GeoTiff format. This was done by loading the data in ArcMap then exporting it as a GeoTiff image. Overview images and final compression options were then performed using GDAL tools.

ALOS/PALSAR and ALOS-2/PALSAR-2 annual mosaic tiles generated for use in the Data Cube - 25m pixel spacing, WGS84. These tiles are derived from the orignal JAXA mosaics with conversion to GeoTIFF.

To help increase understanding of synthetic aperture radar (SAR) and promote its use as a powerful tool for terrestrial ecologists, ASF offers examples of data that can be used for a variety of purposes. The data are subsets for selected field sites — such as flux tower locations — from the PALSAR (Phased Array L-band Synthetic Aperture Radar) sensor flown on the Advanced Land Observing Satellite (ALOS). This dataset provides SAR images for 42 selected sites from various terrestrial-ecology and meteorological-monitoring networks, including FLUXNET, AmeriFlux, Long Term Ecological Research (LTER), and the Greenland Climate Network (GC-Net).Click to view Figure 1: SAR images for (a) Walker Branch Watershed, Tennessee, and (b) Niwot Ridge, Colorado, sites. In SAR visualizations for land use, green usually represents tree canopy, pink is crop or barren soil, black is water, and grays are low vegetation. The star icon indicates the location of the field site. Terrestrial Ecology OverviewThe Terrestrial Ecology products were created using ALOS PALSAR data. To make the SAR scenes more user friendly, the polarization data was classified as reds, greens, and blues in the image. The ranging data are terrain-corrected by a process that assigns the ranging values to geographic coordinates by utilizing a digital surface model (DSM). High-resolution DSM data are not available for the entire planet and existing data at high latitudes is problematic, especially in areas of very little terrain relief, such as sheet glaciers. To use a consistent DSM for this project and all of the sites being investigated, the DSM data from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) imaging instrument was used for the terrain correction.The Terrestrial Ecology products are offered in a GeoTIFF format in Universal Transverse Mercator (UTM) projection and 15-meter resolution. Each scene is available in GeoTIFF format with an XML file containing metadata. A PDF document file is also available for each site and contains image-specific metadata, image analysis notes about channel assignments and colors, and a thumbnail of the SAR image. For sites with multiple images, only one thumbnail is included as images are quite similar in appearance. Collection Boundaries(All latitude and longitude given in decimal degrees)Westernmost LongitudeEasternmost LongitudeNorthernmost LatitudeSouthernmost Latitude-156.665-29.999778.5266-10.7618 Temporal CoverageSAR subsets were extracted for the dates shown in the table below. The exact time of the image is included in the documentation. The selected sites, the name of their respective compressed image files, the date(s), and projections of the SAR subset image(s) are provided. Site NameSite NumberImage Date(s)Image ProjectionArctic LTER (ARC1)7897/11/2010WGS84, UTM, Zone 6NBaltimore Ecosystem Study (BES1)9457/28/2009WGS84, UTM, Zone 18NBartlett Experimental Forest8232007/07/20, 2007/09/04, 2007/10/20, 2008/06/06, 2009/07/25, 2009/10/25, 2010/07/28, 2010/09/12, 2010/10/28WGS84, UTM, Zone 19NBOREAS NSA — Old Black Spruce2349/24/2010WGS84, UTM, Zone 14NBOREAS SSA — Young Aspen2857/19/2010WGS84, UTM, Zone 13NBritish Columbia — Campbell River — Clearcut Site1216/5/2010WGS84, UTM, Zone 10NBritish Columbia — Campbell River — Mature Forest Site1206/5/2010WGS84, UTM, Zone 10NBuffalo13 ESE — SDSU Antelope Research Station (Calving Pasture Site)106010/2/2010WGS84, UTM, Zone 13NCascades/H.J. Andrews LTER — Oregon80910/25/2008WGS84, UTM, Zone 10NChamela Biological Station64410/10/2010WGS84, UTM, Zone 13NCP1272311/10/2009WGS84, UTM, Zone 23NDuke Forest Hardwoods8689/25/2010WGS84, UTM, Zone 17NHarvard Forest EMS Tower (HFR1)8862007/08/23, 2010/08/31, 2010/10/16WGS84, UTM, Zone 18NHJ Andrews Aeronet Sunphotometer (AND1)103310/25/2010WGS84, UTM, Zone 10NHowland Forest (Main Tower)89010/18/2010WGS84, UTM, Zone 19NHumboldt Gl.27316/29/2010WGS84, UTM, Zone 21NJuniper Woodland Site10507/20/2010WGS84, UTM, Zone 12NKULU27382008/05/21, 2008/07/06, 2008/08/21WGS84, UTM, Zone 24NLost Creek93110/8/2010WGS84, UTM, Zone 15NLuquillo LTER (LUQ1)68110/11/2010WGS84, UTM, Zone 20NMetolius Eyerly Burn9546/29/2010WGS84, UTM, Zone 10NMetolius Intermediate Pine9556/29/2010WGS84, UTM, Zone 10NMissouri Ozark Site9678/4/2010WGS84, UTM, Zone 15NNASA-E272712/23/2009WGS84, UTM, Zone 25NNGRIP27296/29/2010WGS84, UTM, Zone 23NNiwot Ridge (LTER NWT1)9972007/06/05, 2007/07/21, 2007/10/21, 2008/06/07, 2009/07/26, 2010/06/13, 2010/07/29, 2010/10/29, 2010/12/14WGS84, UTM, Zone 13NPark Falls103610/8/2010WGS84, UTM, Zone 15NPhillips Creek Marsh (PHCK)109110/31/2010WGS84, UTM, Zone 18NRond. — Faz. Nossa Senhora-Ji Parana — Pasture7110/21/2010WGS84, UTM, Zone 20SRond. — Rebio Jaru Ji Parana — Tower B737/17/2010WGS84, UTM, Zone 20SSantarem — Km77 Pasture842007/06/12, 2008/05/30, 2009/06/18, 2009/08/03, 2010/06/21, 2010/07/21, 2010/08/06, 2010/11/06WGS84, UTM, Zone 21SSask — SSA Old Aspen25811/5/2010WGS84, UTM, Zone 13NSask — SSA Old Jack Pine26010/31/2010WGS84, UTM, Zone 13NSioux Falls Portable27552010/03/20, 2010/06/29, 2010/07/16, 2010/08/31, 2010/10/16, 2010/12/01WGS84, UTM, Zone 14NSky Oaks106711/18/2009WGS84, UTM, Zone 11NSummit27411/23/2010WGS84, UTM, Zone 24NSwiss Camp27421/5/2010WGS84, UTM, Zone 22NTablelands Juniper Savanna27129/18/2010WGS84, UTM, Zone 13NTonzi Ranch10789/17/2010WGS84, UTM, Zone 10NValles Caldera Mixed Conifer271510/5/2010WGS84, UTM, Zone 13NWalker Branch Watershed109610/27/2010WGS84, UTM, Zone 16NWestern Peatland — LaBiche-Black Spruce/Larch Fen2929/23/2010WGS84, UTM, Zone 12NTerrestrial Ecology Products Data UsesThe data can be used for a number of purposes (1) to validate the SAR measurements using flux tower site characterization data; (2) to examine the impacts of vegetation dynamics on climate; (3) to understand human impacts on vegetation at a local scale; (3) to detect deforestation and forest degradation; (4) to map and differentiate growth stages and change; (5) to retrieve woody biomass and structural attributes; and (6) to characterize, map, and monitor ecoregions such as mangroves and wetlands. More About Data SourceThe SAR images are subset scenes of approximately 60 km x 70 km that include an established site in one of the monitoring networks. The spatial resolution of all scenes is 15 meters. These scenes are distributed as GeoTIFF files, with appropriate projection information defined within the file. The acquisition mode for all data is the Fine Beam Dual Polarization or FBD with the HH/HV polarization. The HH and HV channels are distributed as 3 channels to allow for an intuitive image display. The HH band is displayed in the red and blue channels, and the HV band is displayed in the green channel. The resulting images show vegetation in shades of green and barren land in shades of pink or purple. For some images only single polarization is available; these images are distributed as grayscale images. Support AcknowledgmentThe National Aeronautics and Space Administration (NASA) funded this EOSDIS Tech Infusion project as a collaboration between the ASF DAAC, the National Snow and Ice Data Center (NSIDC), and the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) in 2010.

This data set contains summaries (daily, monthly, seasonal, annual) of the eReefs CSIRO hydrodynamic model outputs (GBR 4km v2.0 and GBR 1km v 2.0), covering water temperature, salinity and current at 6 depths (GBR1: 1.5m, 18m, 49m, 103m, 200m and 315m, GBR4: 2.35m, 18m, 49m, 103m, 200m and 315m). These summaries are aggregates derived from the original hourly model data made available via the National Computing Infrastructure (NCI). These summaries have been re-gridded from the original curvilinear grid used by the eReefs model into a regular grid so that the data files can be easily loaded into standard GIS software. These summaries are useful as they reduce the huge volume of the original model data down to a size that is manageable.

These aggregates data sets are updated in near-real time (daily) and are made available via a THREDDS server in NetCDF format. A subset of these outputs has been exported and converted to GeoTiff format for convenient download.

A subset of the the aggregate products are visualised on the AIMS eReefs Data Visualisation Portal (http://aims.ereefs.org.au).

Method:

The original source eReefs data is mirrored from the NCI THREDDS service then processed daily to update aggregate products. Aggregations are performed on the hourly data to create daily summaries. These are then used to create monthly, seasonal, annual aggregates.

As part of the process the data is re-gridded from the original curvilinear model grid to a regular grid using linear interpolation of the nearest four points up to a maximum distance of 4 times the grid spacing. For the GBR 4 model the outputs were re-gridded to 0.03 degrees (~3 km) and the GBR 1 model is regridded to 0.005 degrees (~500 m). The regular grids were chosen to be finer than the original grids to minimise defects introduced by the regridding process.

Data Dictionary:

The following summary variables are available: - max_cur: Maximum sea water velocity (current) magnitude (ms-1) - min_cur: Minimum sea water velocity (current) magnitude (ms-1) - mean_cur: Mean sea water velocity (current) magnitude (ms-1) - v: Northward sea water velocity (half of the current vector) (ms-1) - u: Eastward sea water velocity (second half of the current vector) (ms-1) - salt: Salinity (PSU) - temp: Temperature (degrees C) - max_wspeed: Maximum window speed magnitude - min_wspeed: Minimum window speed magnitude - wspeed_v: Northward wind (ms-1) - wspeed_u: Eastward wind (ms-1)

Limitations:

The wind data is originally from the BOM Access-R weather models. These models capture synoptic winds and some of the features of cyclones, however they do not represent the high speed winds near the eye of cyclones well. For this reason the maximum wind speed aggregations do not capture the peak winds of cyclones.

The GBR1 yearly summaries of salinity and temperature have a known problem where the data is WRONG with a sharp boundary appearing at edge of the GBR. Do not use this data. We will investigate and resolve the issue with this data.

Product extracts:

GBR_AIMS-CSIRO_eReefs_GBR1-Hydro-v2_Mean-current_2015-2016_-2.35m.zip This extract contains annual summaries of the surface mean current for 2015 and 2016 converted to GeoTiff format. This conversion was performed in ArcMap using the 'Make netcdf raster layer' tool to load the NetCDF file, then the data was exported as GeoTiff images.