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106 results for “bathymetry”
Bathymetry 2015 - 1m - HBC Project
<p>Digital Bathymetry data set., cell size 1 m×1m.</p>
Samoan Passage Bathymetry Data Archive
<p>Samoan Passage Bathymetry Data Archive. Please note that the copy here on zenodo contains only the GitHub repository, data are stored elsewhere.</p> <p>Head to <a href="https://github.com/gunnarvoet/sp-data-archive-bathy">https://github.com/gunnarvoet/sp-data-archive-bathy</a> for instructions on how to clone the full dataset or download data files manually at <a href="https://osf.io/7anhw/">https://osf.io/7anhw/</a>.</p>
Bathymetry from multibeam data collected on the RV Heincke, cruises HE-324 and HE-349, North Sea, Helgoland (Germany)
<p>Mosaicked multibeam-derived bathymetry from Simrad EM710 on board RV Heincke collected during Spring 2010 (HE- 324) and 2011 (HE-349). Water depths range from 20 to 50 meters. The range of opening angles of the EM710 multibeam varies between 50 and 65 degrees. EM710 data were used in conjunction with an OCTANS motion sensor, ship’s DGPS and Sound Velocity Profiles (SVP). CRS information: WGS 84 / UTM zone 32N.</p>
TAN1808 bathymetry (north)
<pre>Processed multibeam bathymetry data acquired during the TAN1808 research voyage using Kongsberg EM302 multibeam echosounder on the RV Tangaroa. Data are gridded to 25 m. </pre> <p>File Type: Geotiff</p> <p>Coordinate Reference System: EPSG:2193 - NZGD2000 / New Zealand Transverse Mercator 2000 (units: m)</p> <p>Extent: Southwest: 1755587.5, 5333687.5 : Northeast 1927537.5, 5452337.5</p> <p>Pixels: 6878 (width) by 4746 (height)</p> <p>Pixel Size: 25 m</p> <p>Data loading and viewing: Loadable with standard GIS software, like the free open source software QGIS</p>
Bathymetry and Sediment thickness distribution of Lago dei Seracchi alpine lake, Rutor basin, Aosta Valley, Italy
<p>Maps of water depth and sediment accumulation in an Italian proglacial lake, done by Ground Penetrating Radar (GPR) in July 2021. Supporting Time domain reflectometry surveys and geotechnical analyses on the sediments are also provided. For details, see the readme file in the dataset folder.</p>
Bathymetry, sediment thickness, and geotechnical-geophysical properties of sediments of Lake Seracchi in Rutor proglacial area
<p>This dataset contains the data of a geophysical-geotechnical investigation of Lake Seracchi (L4) of the Rutor basin, Aosta Valley, Italy, The fieldwork was mainly carried out in 10-11 July 2021.</p> <p>The data are:</p> <p>.tif ready-to-use maps of the bathymetry and the sediment thickness.</p> <p>Time Domain Reflectometry (TDR) data of electrical permittivity and conductivity of the lake sediments</p> <p>Geotechnical analyses, such as Grain Size Distribution and Atterberg's Limits, performed on the lake sediments.</p> <p>The details are reported in the README .txt file.</p> <p> </p>
Bathymetry and watershed area for Falling Creek Reservoir, Beaverdam Reservoir, and Carvins Cove Reservoir
This data package includes bathymetric data and watershed delineations for Falling Creek (FCR), Beaverdam (BVR), and Carvins Cove (CCR) Reservoirs, all located near Roanoke, VA, USA. Bathymetric data were collected using an Acoustic Doppler Current Profiler (ADCP) and processed using WinRiver II and ArcGIS. Water level can vary in these reservoirs; at the time of ADCP measurement, maximum depth was ~9.3 m in FCR, ~13.5 m in BVR, and ~23 m in CCR. Bathymetric data are presented in two forms: (1) as hypsometric summaries of surface area and volume for 0.3-1.0 m depth intervals (for all three reservoirs) and (2) as spatially-explicit shapefiles (BVR and FCR) and triangular irregular networks (TIN) files (FCR and CCR). Watershed areas are included as shapefiles for each reservoir.
MCR LTER: Coral Reef: Bathymetry Grid for North Shore
These bathymetric data are a combined product of digitized SHOM nautical charts, SRTM30plus bathymetry, small boat surveys, and bathymetry derived from Worldview-2 satellite imagery. Satellite data were collected in collaboration with Le centre de L'Environment de Moorea (CRIOBE). Data products are (x,y,z) point data and images in Coordinate system: UTM zone 6S and Datum: WGS-84.
Bathymetry of Magothy Bay, VA 2007-2009
This dataset contains the bathymetry for Magothy Bay, Virginia, a small coastal bay located between Smith Island and the mainland of the Delmarva Peninsula near the mouth of the Chesapeake Bay. Methodology for collection is similar to that described in Gomez(2008) thesis (see network links). Pixels are 10x10 meters and depths below Mean High Water are given in meters. Coordinates are UTM WGS84, Zone 18N. For adjustments to Mean sea level and other datums see the NOAA Benchmark Data Sheets (here is an excerpt for a near by benchmark): Station ID: 8638863 PUBLICATION DATE: 10/30/2003 Name:CHESAPEAKE BAY BRIDGE TUNNEL VIRGINIA NOAA Chart: 12254 Latitude: 36-deg 58.0' N USGS Quad: CAPE HENRY Longitude: 76-deg � 6.8' W T I D A L�� D A T U M S Tidal datums at CHESAPEAKE BAY BRIDGE TUNNEL based on: LENGTH OF SERIES: 19 YEARS TIME PERIOD:January 1983 - December 2001 TIDAL EPOCH: 1983-2001 CONTROL TIDE STATION: Elevations of tidal datums referred to Mean Lower Low Water (MLLW), in METERS: HIGHEST OBSERVED WATER LEVEL (02/05/1998) = 2.006 MEAN HIGHER HIGH WATER (MHHW) = 0.884 MEAN HIGH WATER (MHW) = 0.814 MEAN SEA LEVEL (MSL) = 0.431 MEAN TIDE LEVEL (MTL) = 0.426 MEAN LOW WATER (MLW) = 0.037 MEAN LOWER LOW WATER (MLLW) = 0.000 LOWEST� OBSERVED WATER LEVEL (01/11/1978) = -0.895 In June 2013, positive (+) depth values were replaced with negative (-) elevation values for consistency with other VCR datasets.� No datum adjustments of the tidal datum were performed.
Bathymetry of Gargathy and Kegotank Bays, VA 2007-2009
This dataset contains bathymetry data for Gargathy and Kegotank Bays off the eastern coast of the Delmarva Peninsula. The dataset also includes information on the depth of many of the marsh and upland creeks leading into the bays. Elevations are in meters from mean-high water. Pixels are 10x10 meters on a side anD coordinates are UTM WGS84, Zone 18. Gomez 2008 (see network links) stated "The tidal range at Gargathy Neck was determined and used to obtain the relationship between NAVD88 and MHW. The tidal range was estimated by taking an average of 5 different stations close to Gargathy Neck. Tidal ranges at stations located in Gargathy inlet, Chincoteague, Metompkin, Wachapreague and Wallops Islands (www.co-ops.nos.noaa.gov/station-retrieve.shtml?type=bench+mark+data+sheets) were used to compute an average tidal range at Gargathy Neck. The tidal range at Gargathy Neck was determined to be 1.04 m + 0.18 m. Next, the relationship between NAVD88 and MHW was determined for Wallops Island and two stations at Chincoteague (www.co-ops.nos.noaa.gov/stationretrieve. shtml?type=bench+mark+data+sheets). About 40% of the tidal range was above NAVD88 datum and about 60% of the tidal range was below NAVD 88 datum. Based on these distributions around NAVD 88 datum, mean high water at Gargathy Neck, was determined 0.43 m above NAVD 88 and mean low water is 0.64 m below NAVD88 (Figure 9). The relationship between NAVD 88 datum and mean high water was used to adjust the bathymetric data to mean high water level." Here is the datum information from NOAA for one of the stations used. Station ID: 8630249 PUBLICATION DATE: 04/30/2003 Name: CHINCOTEAGUE, USCG STATION VIRGINIA NOAA Chart: 12211 Latitude: 37-deg 55.9' N USGS Quad: CHINCOTEAGUE WEST Longitude: 75-deg 23.0' W T I D A L D A T U M S Tidal datums at CHINCOTEAGUE, USCG STATION based on: LENGTH OF SERIES: 12 MONTHS TIME PERIOD: February 1977 - January 1978 TIDAL EPOCH: 1983-2001 CONTROL TIDE STATION: 8638863 CHESAPEAKE BAY BRIDGE T
IODP Expedition 361 Bathymetry
<p>Operational bathymetry data were measured using 3.5 kHz and/or 12 kHz echo sounders. Raw data are available in ODEC/CSV and SEGY formats, and depth-corrected bathymetry is presented in SEGY format. Data presented by expedition.</p>
IODP Expedition 362 Bathymetry
<p>Operational bathymetry data were measured using 3.5 kHz and/or 12 kHz echo sounders. Raw data are available in ODEC/CSV and SEGY formats, and depth-corrected bathymetry is presented in SEGY format. Data presented by expedition.</p>
Bathymetry of Large, Straight and Immobile bed-forms found in the Great South Channel (2015 - 2017)
<p>Digital Bathymetry produced from the raw data set collected with a Reson Seabat 7125 Multibeam echo-sounder. <br> The grid cell size is 1 m×1m. The area is a representative sample of the Great South Channel seafloor describing Large, Straight, and Immobile bedforms (LSI).<br> The survey data were collected during the 2015 and 2017 - NOAA annual federal Sea Scallop Survey on board R/V Hugh Sharp, operated by the University of Delaware, and funded by the Improve a Stock Assessment Program of the NOAA Northeast National Marine Fisheries Service (NEMFS)<br> The data processing was supported by NOAA GRANT NA15NOS400002000.</p>
IODP Expedition 366 Bathymetry
<p>Operational bathymetry data were measured using 3.5 kHz and/or 12 kHz echo sounders. Raw data are available in ODEC/CSV and SEGY formats, and depth-corrected bathymetry is presented in SEGY format. Data presented by expedition.</p>
MagicBathyNet: A Multimodal Remote Sensing Dataset for Bathymetry Prediction and Pixel-based Classification in Shallow Waters
<p><strong>The dataset</strong></p> <p>MagicBathyNet is a benchmark dataset made up of image patches of Sentinel-2, SPOT-6 and aerial imagery, bathymetry in raster format and seabed classes annotations. MagicBathyNet has been designed to be geographically well distributed. It’s coverage includes two very different coastal areas (in terms of water column characteristics and bottom type): i) Agia Napa area in Cyprus, covering a wide range of typical Mediterranean waters and seabed types, and ii) Puck Lagoon area in Poland, representing in a great degree Baltic Sea waters and bottom.</p> <p>MagicBathyNet contains 3355 RGB co-registered triplets of Sentinel-2 (S2), SPOT-6, and aerial image patches, complemented by 1244 RGB co-registered S2 and SPOT-6 doublets, 3354 DSM (Digital Surface Model) raster patches for the aerial patches and 3396 DSM raster patches for S2 and SPOT-6. Additionally, it contains 533 annotated raster patches for seabed habitat and type, facilitating supervised pixel-based classification. Each patch covers 180x180m, represented by 18x18 pixels in S2 imagery, 30x30 pixels in SPOT-6 imagery and 720x720 pixels in airborne imagery. </p> <p>For the implementation code and pre-trained models visit our project page: <a href="https://www.magicbathy.eu/magicbathynet.html">https://www.magicbathy.eu/magicbathynet.html</a> </p> <p><strong>MagicBathyNet.zip </strong>file contains the original dataset presented in the respective paper.</p> <p><strong>MagicBathyNet_extension_for_Swin-BathyUNet.zip</strong> file is added in the new version to support the experiments and the results presented in "Agrafiotis, P., & Demir, B. (2025). Deep learning-based bathymetry retrieval without in-situ depths using remote sensing imagery and SfM-MVS DSMs with data gaps. <em>ISPRS Journal of Photogrammetry and Remote Sensing</em>, <em>225</em>, 341-361. <a href="https://doi.org/10.1016/j.isprsjprs.2025.04.020">https://doi.org/10.1016/j.isprsjprs.2025.04.020</a> "</p> <p> </p> <p> </p> <p><strong>Citation</strong></p> <p>If you use the code in this repository or the dataset please cite our paper:</p> <p>P. Agrafiotis, L. Janowski, D. Skarlatos, and B. Demir, <a href="https://arxiv.org/abs/2405.15477" target="_blank" rel="noopener noreferrer">"MagicBathyNet: A Multimodal Remote Sensing Dataset for Bathymetry Prediction and Pixel-based Classification in Shallow Waters"</a>, arXiv:2405.15477, 2024.</p> <p>or </p> <p>P. Agrafiotis, Ł. Janowski, D. Skarlatos and B. Demir, "MAGICBATHYNET: A Multimodal Remote Sensing Dataset for Bathymetry Prediction and Pixel-Based Classification in Shallow Waters," <em>IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium</em>, Athens, Greece, 2024, pp. 249-253, doi: 10.1109/IGARSS53475.2024.10641355.</p> <p><strong>Folder structure</strong></p> <p>┗ 📂 magicbathynet/<br> ┣ 📂 agia_napa/<br> ┃ ┣ 📂 img/<br> ┃ ┃ ┣ 📂 aerial/<br> ┃ ┃ ┃ ┣ 📜 img_339.tif<br> ┃ ┃ ┃ ┣ 📜 ...<br> ┃ ┃ ┣ 📂 s2/<br> ┃ ┃ ┃ ┣ 📜 img_339.tif<br> ┃ ┃ ┃ ┣ 📜 ...<br> ┃ ┃ ┣ 📂 spot6/<br> ┃ ┃ ┃ ┣ 📜 img_339.tif<br> ┃ ┃ ┃ ┣ 📜 ...<br> ┃ ┣ 📂 depth/<br> ┃ ┃ ┣ 📂 aerial/<br> ┃ ┃ ┃ ┣ 📜 depth_339.tif<br> ┃ ┃ ┃ ┣ 📜 ...<br> ┃ ┃ ┣ 📂 s2/<br> ┃ ┃ ┃ ┣ 📜 depth_339.tif<br> ┃ ┃ ┃ ┣ 📜 ...<br> ┃ ┃ ┣ 📂 spot6/<br> ┃ ┃ ┃ ┣ 📜 depth_339.tif<br> ┃ ┃ ┃ ┣ 📜 ...<br> ┃ ┣ 📂 gts/<br> ┃ ┃ ┣ 📂 aerial/<br> ┃ ┃ ┃ ┣ 📜 gts_339.tif<br> ┃ ┃ ┃ ┣ 📜 ...<br> ┃ ┃ ┣ 📂 s2/<br> ┃ ┃ ┃ ┣ 📜 gts_339.tif<br> ┃ ┃ ┃ ┣ 📜 ...<br> ┃ ┃ ┣ 📂 spot6/<br> ┃ ┃ ┃ ┣ 📜 gts_339.tif<br> ┃ ┃ ┃ ┣ 📜 ...<br> ┃ ┣ 📜 [modality]_split_bathymetry.txt<br> ┃ ┣ 📜 [modality]_split_pixel_class.txt<br> ┃ ┣ 📜 norm_param_[modality]_an.txt<br> ┃<br> ┣ 📂 puck_lagoon/<br> ┃ ┣ 📂 img/<br> ┃ ┃ ┣ 📜 ...<br> ┃ ┣ 📂 depth/<br> ┃ ┃ ┣ 📜 ...<br> ┃ ┣ 📂 gts/<br> ┃ ┃ ┣ 📜 ...<br> ┃ ┣ 📜 [modality]_split_bathymetry.txt<br> ┃ ┣ 📜 [modality]_split_pixel_class.txt<br> ┃ ┣ 📜 norm_param_[modality]_pl.txt</p> <p> </p> <p><strong>Package for benchmarking MagicBathyNet dataset</strong></p> <p>Donwload the package for benchmarking MagicBathyNet dataset in learning-based bathymetry and pixel-based classification here:</p> <p><a href="https://github.com/pagraf/MagicBathyNet">https://github.com/pagraf/MagicBathyNet</a></p> <p> </p> <p><strong>Version history</strong></p> <p>v1.0.0 - First release</p> <p> </p> <p><strong>License</strong></p> <p>Dataset: Creative Commons Attribution Non Commercial 4.0 International</p> <p>Code: Attribution-NonCommercial-ShareAlike 4.0 International License</p> <p>Copyright (c) 2024 The MagicBathyNet Authors</p> <p> </p> <p><strong>Acknowledgments</strong></p> <p>This work was part of the project MagicBathy which is a research project funded by the European Commission for the period 2023-2025. It is funded under the HORIZON Europe MSCA Postdoctoral Fellowships - European Fellowships (GA 101063294).</p> <p>European Space Agency (ESA) is also acknowledged for providing the SPOT-6 images within its TPM programme in the frame of proposal PP0092443 and Airbus for being the provider of the original SPOT-6 images. The Dep. of Land and Surveys of Cyprus is acknowledged for providing the LiDAR reference data for Cyprus.</p>
Fatiando a Terra Data: Caribbean - Single-beam bathymetry
<p>This dataset is a compilation of several single-beam bathymetry surveys of the Caribbean ocean displaying a wide range of tectonic activity, uneven distribution, and even clear systematic errors in some of the survey lines.</p> <p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's meant for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p> <p><strong>Changes made: </strong>Convert from MGD77 to a simpler compressed CSV format. Retain only the survey ID, coordinates, and depth. Cut the data to a smaller region. Remove some problematic and very large surveys.</p> <p><strong>Source: </strong><a href="https://ngdc.noaa.gov/mgg/geodas/trackline.html">NOAA NCEI</a></p> <p><strong>Source license: </strong><a href="https://ngdc.noaa.gov/ngdcinfo/privacy.html">public domain</a></p> <p><strong>Repository:</strong> <a href="https://github.com/fatiando-data/caribbean-bathymetry">https://github.com/fatiando-data/caribbean-bathymetry</a></p>
Fatiando a Terra Data: Southern Africa - Topography and Bathymetry
<p>This is a topography and bathymetry grid with a resolution of 1 arc-minute over Southern Africa. The grid was generated by cropping the ETOPO1 global topography grid. The heights are referenced to the mean sea level.</p> <p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's meant for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p> <p><strong>Changes made:</strong> Data were cropped to a region that covers only the Southern Africa. Coordinates have been renamed to <em>longitude</em> and <em>latitude</em>. The dataset has been renamed to <em>topography</em>. The metadata of the dataset have been improved following CF-conventions. <strong> </strong></p> <p><strong>Source: </strong>ETOPO1 <a href="https://doi.org/10.7289/V5C8276M">https://doi.org/10.7289/V5C8276M</a></p> <p><strong>Source license: </strong><a href="https://ngdc.noaa.gov/mgg/global/dem_faq.html#sec-2.4">public domain</a></p> <p><strong>Repository: </strong><a href="https://github.com/fatiando-data/southern-africa-topography">https://github.com/fatiando-data/southern-africa-topography</a></p>
Bathymetry 2017 - 1m - HBC Project
<p>Digital Bathymetry data set., cell size 1 m×1m.</p>
Dataset used in "Bathymetry observations of inland water bodies using a tethered single-beam sonar controlled by an Unmanned Aerial Vehicle". https://doi.org/10.5194/hess-2017-625.
<p>Dataset used in</p> <p>Bathymetry observations of inland water bodies using a tethered single-beam sonar controlled by an Unmanned Aerial Vehicle</p> <p>Filippo Bandini<sup>1</sup>, Daniel Olesen<sup>2</sup>, Jakob Jakobsen<sup>2</sup>, Cecile Marie Margaretha Kittel<sup>1</sup>, Sheng Wang<sup>1</sup>, Monica Garcia<sup>1</sup>, and Peter Bauer-Gottwein<sup>1</sup></p> <ul> <li><sup>1</sup>Department of Environmental Engineering, Technical University of Denmark, Kgs. Lyngby, Denmark</li> <li><sup>2</sup>National Space Institute, Technical University of Denmark, Kgs. Lyngby, 2800, Denmark</li> </ul> <p><strong>Hydrol. Earth Syst. Sci.</strong></p> <p><strong>https://doi.org/10.5194/hess-2017-625</strong></p> <p> </p> <p>The dataset contains</p> <p>-data/observations that were used to obtain the figures shown in the paper. Data have .mat extension (Binary data container format used by MATLAB; may include arrays, variables, functions, and other types of data;)</p> <p>-scripts to compute statistics and plot data, with .m extension (contain MATLAB code, either in the form of a script or a function)</p> <p>-shape files (shp — shape format; the feature geometry itself, .shx — shape index format, .dbf — attribute format, .prj — projection format; .sbn and .sbx — spatial index of the features, .cpg — used to specify the code page, .<em>qpj</em> QGIS projection file) or raster files (.geotiff) to reproduce the map contents reported in the referenced paper.</p> <p>The repository is subdivided into directories containing the dataset shown in the paper. These directories are named with the figures and/or tables numbers of the referenced paper. </p>
Comprehensive bathymetry of the Danube Delta three branches
<p>This dataset contains the following:</p> <ul> <li><strong>Bathymetry of the Danube Delta three branches</strong> (bathymetry_Danube.nc). Elevation values are provided in meters relative to the EGM2008 geoid, with positive values indicating depths below the geoid. This dataset was obtained by combining data from the Ukrainian Scientific Center of Ecology of the Sea (<a href="https://sea.gov.ua/index.php/2016/07/28/about-ukrsces/?lang=en">UkrSCES</a>), the Galati Lower Danube River Administration (<a href="https://www.afdj.ro/en">AFDJ</a>), the Danube Delta National Institute for Research and Development (<a href="https://ddni.ro/wps/">DDNIRD</a>) and Copernicus' Digital Elevation Model.</li> <li><strong>Code example to read netcdf files in Python</strong> (read_netcdf.py).</li> </ul>
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