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32 results for “Pleiades”
Supraglacial features of debris covered glaciers in the Himalaya from Landsat-8 spectral umixing and Pleiades
<p>This dataset contains the spectral unmixing output files for the debris covered glacier surfaces based on Landsat-8 OLI imagery and Pleiades imagery of 2015. Files are provided for two domains, the Khumbu reference region of Nepal and the greater Himalaya region (76.3 to 92.6° W and 26.3 to 34.2° N), which covers covering most area from Himachal/Jammu and Kashmir border to Bhutan Himalaya. </p> <ul> <li>Landsat surface reflectance : Himalaya_L8_6S_surface_reflectance_scenes_2015 .zip <ul> <li>Contains surface reflectance images of Landsat-8 OLI scenes mostly from 2015 (two images are from 2014 and 2016 due to clouds in 2015) </li> <li>Collection 1 Level 1 (L1TP)</li> <li>Atmospherically and topographically corrected using the ARCSI routine, supplied in .kea format. These can be converted to GeoTifs using the GDAL command.</li> <li>Naming structure: LS8_yyyymmdd_latYYlongXXXX_rRRpPPP_vmsk_topshad_rad_srefdem_stdsref.kea</li> <li>Projection is UTM (zones depending on the image), from the original Landsat L1TP files</li> <li>The file naming convention, which is a standard output from ARCSI routine, include the image date ("yyyy" = year, mm = "month", "dd" = day), latitude ("YY") and longitude ("XXXX") of the image center, path/row ("PPP" = path, "RRR" = row), and the output products generated by ARCSI ("rad" = radiation, "topshad" = topographic shadows, "srefdem" indicates the use of elevation data, "stdsref" = standardized surface reflectance)</li> </ul> </li> <li>Fractional maps for the Khumbu: LS8_20150930_r41p140_frac_files. zip <ul> <li>Raster format (GeoTiffs) </li> <li>Non-normalized fractional water, light and dark debris and vegetation maps for the Khumbu reference image (Sept 30, 2015, path 140 row 40)</li> <li>Output from the linear mixing model routine used to produce binary maps of surfaces with values ranging from 0 to 1 (0% to 100% pixel coverage)</li> </ul> </li> <li>Binary surface maps for the Himalaya: Himalaya_L8_raw_binary_surface_maps.zip <ul> <li>Vector format (ArcGIS shapefiles)</li> <li>Raw, unprocessed binary maps of ponds, vegetation debris, ice and clouds over the debris covered glacier tongues in the Himalaya around the year 2015 (binary files) </li> <li>Derived from tresholding the fractional maps using a variable threshold (see publication)</li> <li>Maps in this pre-release version have not been manually corrected for misclassified areas due to confusion of classes, and the ice and cloud classes are not highly accurate</li> <li>These are not the final coverages of these surfaces over the domain and should not be used as such</li> <li>The supraglacial pond maps will undergo manual corrections and the datasets will be updated on this page</li> </ul> </li> <li>Dataset for analysis, glacier-by-glacier: Himalaya_SDC_LS_for_analysis_gt1km2_with_frac_and_debris_attributes.txt <ul> <li>original data from the SupraGlacial Debris Cover dataset (Sherler et al 2018)</li> <li>updated with the preliminary fractional cover of each surface (in %) on a glacier-by-glacier basis</li> <li>contains only debris covered tongues >1 km2 </li> <li>debris covered attributes were calculated from the ALOS Global Digital Surface Model (AW3D30 DEM) for each debris covered tongue <ul> <li>DC_area_km2 = recalculated debris covered area</li> <li>DCmin = minimum debris cover elevation (meters)</li> <li>DCmax = maximum debris cover elevation (meters)</li> <li>DCrange = altitudinal range (meters)</li> <li>DCmed = median elevation (meters)</li> <li>SLmean = mean slope (degrees)</li> <li>SLrange = slope range (degrees)</li> <li>SLmin = min slope (degrees)</li> <li>SLmax = max slope (degrees)</li> </ul> </li> </ul> </li> </ul>
2m resolution DEM based stereoscopy Pleiades acquisitions in Telangana, South-India
<p>Four steroscopy pairs of Pléiades images (Pléiades © CNES 2021 Distribution AIRBUS DS) were acquired over Telangana state in 01 and 14 of June 2016 and the 16 of June 2019 and licensed to CESBIO by Airbus. The Pléiades Digital Elevation Model is a derivative product subject to the CC-BY-NC 4.0 license preventing commercial use. The four .tif files correspond to these DEM at 2m resolution. The dates were selected because the Rainwater Harvesting System small reservoirs of the areas covered were empty. Elevations within small reservoirs are thus equivalent to a bathymetry. We verified that 2 meter resolution is very adapted to retrieve the geometries of narrow and steep dikes that dam each small reservoirs.</p>
Pleiades Datasets 4.1
<h1><em>Pleiades</em> gazetteer datasets</h1> <p>Please report problems and make feature requests via <a href="https://github.com/isawnyu/pleiades-gazetteer/issues/">the main <em>Pleiades</em> Gazetteer Issue Tracker</a>.</p> <p><a href="https://creativecommons.org/licenses/by/3.0/"></a> Content is governed by the copyrights of the individual contributors responsible for its creation. Some rights are reserved. All content is distributed under the terms of a <a href="https://creativecommons.org/licenses/by/3.0/">Creative Commons Attribution license (cc-by)</a>.</p> <p>In order to facilitate reproducibility and to comply with license terms, we encourage use and citation of <a href="https://pleiades.stoa.org/downloads#releases">numbered releases</a> for scholarly work that will be published in static form.</p> <p>Please share notices of data reuse with the <em>Pleiades</em> community via email to pleiades.admin@nyu.edu. These reports help us to justify continued funding and operation of the gazetteer and to prioritize updates and improvements.</p> <h2>Version 4.1 - 28 May 2025</h2> <h3>41,480 place resources</h3> <p>Since release 4.0.1 of <em>pleiades.datasets</em> on 6 February 2025, the <em>Pleiades</em> gazetteer published 287 new and 2,757 updated place resources, reflecting the work of Jeffrey Becker, Sarah Bond, Catherine Bouras, Anne Chen, Birgit Christiansen, Matthew Clark, Stefano Costa, Anthony Durham, Tom Elliott, Margherita Fantoli, E.W.B. Fentress, Güner Girgin, Maxime Guénette, Greta Hawes, Brady Kiesling, Chris de Lisle, Sean Manning, Gabriel McKee, John Muccigrosso, Jamie Novotny, Gethin Rees, Rosemary Selth, R. Scott Smith, Nicolas Souchon, Néhémie Strupler, Richard Talbert, Clifflena Tiah, and Scott Vanderbilt. As a result, this release provides documentation for 41,480 place resources.</p> <h3>Highlights</h3> <ul> <li>Updated gazetteer data in this release: see "Contents" below.</li> <li>Updated <code>data/gis/README.md</code> for new <code>places_accuracy.csv</code> file, which provides more horizontal accuracy data for use in GIS software.</li> <li>Updated information about Pleiades Sidebar (q.v.)</li> </ul> <h2>Overview</h2> <p>This is a package of data derived from the <em>Pleiades</em> gazetteer of ancient places. It is used for archival and redistribution purposes and is likely to be <strong>less up-to-date than the live data at https://pleiades.stoa.org.</strong></p> <p><em>Pleiades</em> is a community-built gazetteer and graph of ancient places. It publishes authoritative information about ancient places and spaces, providing unique services for finding, displaying, and reusing that information under open license. It publishes not just for individual human users, but also for search engines and for the widening array of computational research and visualization tools that support humanities teaching and research.</p> <p><em>Pleiades</em> is a continuously published scholarly reference work for the 21st century. We embrace the new paradigm of citizen humanities, encouraging contributions from any knowledgeable person and doing so in a context of pervasive peer review. <em>Pleiades</em> welcomes your contribution, no matter how small, and we have a number of useful tasks suitable for volunteers of every interest.</p> <h2>Access and Archiving</h2> <p>The latest versions of this package can be had by fork or download from the <code>main</code> branch at https://github.com/isawnyu/pleiades-datasets. <a href="https://github.com/isawnyu/pleiades-datasets/releases">Numbered releases</a> are created periodically at GitHub. These are archived at:</p> <ul> <li>zenodo.org using the DOI <a href="https://doi.org/10.5281/zenodo.1193921">10.5281/zenodo.1193921</a></li> <li>archive.nyu.edu using the Handle <a href="https://hdl.handle.net/2451/34305">2451/34305</a></li> <li>archive.org using the URI https://archive.org/details/pleiades.datasets-{version_number}</li> </ul> <h2>Credits</h2> <p><em>Pleiades</em> is brought to you by:</p> <ul> <li>Our volunteer content contributors (see <code>data/rdf/authors.ttl</code> for complete list and associated identifiers or data).</li> <li><em>Pleiades</em> received significant, periodic support from the <a href="https://www.neh.gov">National Endowment for the Humanities</a> between 2006 and 2019. Grant numbers: HK-230973-15, PA-51873-06, PX-50003-08, and PW-50557-10. Any views, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect those of the National Endowment for the Humanities.</li> <li>Web hosting and additional support has been provided since 2008 by the <a href="https://isaw.nyu.edu">Institute for the Study of the Ancient World</a> at New York University.</li> <li>Additional support and in-kind collaboration has been provided since 2000 by the <a href="https://awmc.unc.edu">Ancient World Mapping Center</a> at the University of North Carolina at Chapel Hill.</li> <li>Development hosting and other project incubation support was provided between 2000 and 2008 by <a href="https://en.wikipedia.org/wiki/Ross_Scaife">Ross Scaife</a> and the <a href="https://www.stoa.org/">Stoa Consortium</a>.</li> </ul>
Montserrat Digital Surface Model (1 metre) - March 2019 - Pleiades Photogrammetry (raw, not co-registered)
<p>This tiff file contains a Digital Surface Model (DSM) of the southern portion of Montserrat, Eastern Caribbean, including the Soufrière Hills Volcano. This is the raw DSM, generated via leverage of Pleiades tri-stereo imagery using the DSM-OPT software platform; it has not been co-registered. </p>
Belham River Valley Digital Surface Model (1 metre) - March 2019 - Pleiades Photogrammetry (co-registered)
<p>This tiff contains a Digital Surface Model (DSM) of the Belham River Valley in Montserrat, Eastern Caribbean. This was generated via leverage of Pleiades tri-stereo imagery throught the DSM-OPT software platform. This DSM has been co-registered to a LiDAR DSM (generated in 2010, vertical error 0.15 m) and found to have a vertical error of 2.3 m.</p>
Resolving Pleiades Binary Stars with Gaia and Speckle Interferometric Observations
<p>These supplementary data accompany the paper "Resolving Pleiades Binary Stars with Gaia and Speckle Interferometric Observations", <a href="https://iopscience.iop.org/article/10.3847/1538-3881/ada564" target="_blank" rel="noopener">published by the Astronomical Journal</a>. Table data are also available through the <a href="https://vizier.cds.unistra.fr/viz-bin/VizieR?-source=J/AJ/169/145" target="_blank" rel="noopener">VizieR service</a>. <br><a href="https://ui.adsabs.harvard.edu/abs/2025AJ....169..145C/abstract" target="_blank" rel="noopener">ADS: 2025AJ....169..145C</a>, <a href="https://arxiv.org/abs/2412.20986" target="_blank" rel="noopener">arXiv: 2412.20986</a></p> <p>Observations were obtained with the Speckle Polarimeter (SPP) instrument of the 2.5-m telescope of the Caucasian Observatory of the SAI MSU.</p> <p>Full versions of Table 5 and Table 6, containing binarity information and detection limits, are stored in "table5.mrt" and "table6.mrt". Contrast curves and autocorrelation functions for all observed objects are stored in "acfs/" folder inside "SPP_contrastCurves_ACFs_Pleiades.zip". These plots can be accessed directly with filename search by Gaia DR3 source identifier. The csv-table "contrastCurves_ACFs_filenames_info.csv" contains additional information about observations - date of observation, passband, seeing, comments etc. We provide a small Jupyter notebook script "display_contrastCurves_ACFs.ipynb" to display available observations along with fragments of Table 5 and Table 6 for specified object.</p>
Fig. 10 in Codonographia Gorgonum, or the description of a pleiad of bellflowers (Campanula, Campanulaceae) from the Cabo Verde archipelago
Fig. 10. – Campanula fransinea Gardère. Dumicolous form from humid locality: A. Habit, erect flowers; B. Rosette-leaves; C. Flower in lateral view; D. Flower in face view; E. Inflorescence with pendulous flowers; F. Habit, rupicolous form from xeric locality.
Fig. 11 in Codonographia Gorgonum, or the description of a pleiad of bellflowers (Campanula, Campanulaceae) from the Cabo Verde archipelago
Fig. 11. – Campanula cochleromena Gardère. A. Habit; B. Rosette-leaves; C. Flower in lateral view; D. Flower in bottom view with a focus on the deltoid calyx-lobes; E. Flower in face view.
Fig. 9 in Codonographia Gorgonum, or the description of a pleiad of bellflowers (Campanula, Campanulaceae) from the Cabo Verde archipelago
Fig. 9. – Campanula monteverdensis Gardère. A. Habit; B. Rosette-leaves; C. Inflorescence; D. Flower in lateral view; E. Flower in face view. [A–C, E: Gardère 1092; D: Gardère 1506] [Photos: M.L. Gardère]
Fig. 6 in Codonographia Gorgonum, or the description of a pleiad of bellflowers (Campanula, Campanulaceae) from the Cabo Verde archipelago
Fig. 6. – Campanula bravensis (Bolle) A. Chev. A. Dense rupicolous shrubbery; B. Rosette-leaves; C. Inflorescence; D. Flower in lateral view; E. Flower in front view.
Fig. 8 in Codonographia Gorgonum, or the description of a pleiad of bellflowers (Campanula, Campanulaceae) from the Cabo Verde archipelago
Fig. 8. – Campanula vicinituba Gardère. A. Habit; B. Rosette-leaves; C. Flowers in face view; D. Flower in lateral view. [A–D: Gardère 1563] [Photos: M.L. Gardère]
Fig. 5. – Second herbarium sheet from K in Codonographia Gorgonum, or the description of a pleiad of bellflowers (Campanula, Campanulaceae) from the Cabo Verde archipelago
Fig. 5. – Second herbarium sheet from K containing the syntypes of Campanula jacobaea C. Sm. ex Webb. A. Forbes' specimen [K001134390] determined here as C. feijoana Gardère; B. Vogel's specimen [K001134391] determined here as C. monteverdensis Gardère; C. Hooker's specimen [K001134407] determined here as C. jacobaea. [© Royal Botanic Gardens, Kew]
Fig. 3 in Codonographia Gorgonum, or the description of a pleiad of bellflowers (Campanula, Campanulaceae) from the Cabo Verde archipelago
Fig. 3. – SEM micrographs of abaxial surface of leaves. A. Campanula jacobaea C. Sm. ex Webb; B. C. bravensis (Bolle) A. Chev.; C. C. feijoana Gardère; D. C. vicinituba Gardère; E. C. monteverdensis Gardère; F. C. fransinea Gardère; G. C. cochleromena Gardère. [A: Gardère 1428; B: Gardère 1615; C: Gardère 959; D: Gardère 1035; E: Gardère 612; F: Gardère 1096; G: Gardère 1120]
Fig. 4. – First herbarium sheet from K in Codonographia Gorgonum, or the description of a pleiad of bellflowers (Campanula, Campanulaceae) from the Cabo Verde archipelago
Fig. 4. – First herbarium sheet from K containing the syntypes of Campanula jacobaea C. Sm. ex Webb. A. Darwin's specimen [K000865902] chosen in 1986 as isolectotype of C. jacobaea by Porter, determined here as C. bravensis (Bolle) A. Chev., black circle showing the small footnote cross; A'. Label of the Darwin's specimen, black circle showing the small footnote cross; B. Forbes' specimen [K001134406] determined here as C. fransinea Gardère, white circle showing a fragment of Hypodematium crenatum (Hypodematiaceae); C. Specimen attributed to a Forbes' collect [K000865901] determined here as C. fransinea, white circle nº 1 showing a small fragment of Hypodematium crenatum, white circle nº 2 showing a fragment of Diplotaxis gracilis (Brassicaceae); D. Specimen attributed to a Forbes' collect [K001134405] determined here as C. fransinea. [© Royal Botanic Gardens, Kew]
Fig. 2. – Campanula jacobaea C in Codonographia Gorgonum, or the description of a pleiad of bellflowers (Campanula, Campanulaceae) from the Cabo Verde archipelago
Fig. 2. – Campanula jacobaea C. Sm. ex Webb. A. Habit; B. Rosette-leaves; C. Inflorescence; D. Flower in lateral view; E. Flower in face view. [A–B: Gardère 1620; C: Gardère 1435; D: Gardère 928; E: Gardère 1211] [Photos: M.L. Gardère]
Fig. 1 in Codonographia Gorgonum, or the description of a pleiad of bellflowers (Campanula, Campanulaceae) from the Cabo Verde archipelago
Fig. 1. – Distribution map of the seven Cabo Verdean Campanula L. species illustrated by their flower in lateral view.
Moon-Mercury-Pleiades Conjunction
<p>Honourable mention in the 2022 IAU OAE Astrophotography Contest, category Still images of celestial patterns.</p> <p> </p> <p>This photograph shows the young lunar crescent, some of the nine brightest stars of the Pleiades (with one behind a cloud) on the right, and the planet Mercury, looking slightly red, in the middle of the image.</p> <p>This picture is rather suggestive of the idea that the Pleiades might possibly consist of seven stars. However, the viewer is misled by the clouds; five of the stars form a tiny chariot, one is next to the handle, and three are at the other end of the quadrilateral. Eight stars would be clearly visible if there were no clouds.</p> <p>This configuration of the young Moon next to the Pleiades is visible only in the northern hemisphere spring. Thus it was used by the ancient Babylonians to determine the second month of their year and to judge whether or not an intercalary month was necessary. At least as early as the second millennium before the common era, the Babylonians used several asterisms for each month, with another one of them reappearing every five days after invisibility during daylight. To determine the necessity of intercalation in order to synchronise the solar and the lunar year, the Babylonians used several asterisms, not only the Pleiades. For instance, they also made use of the bright stars Arcturus and Sirius, and they observed a configuration with the Moon as well as heliacal phenomena. The modern Jewish and modern Islamic traditions still make use of some of the Babylonian astronomical rules. However, given that the constellations have shifted as a result of precession, and the fact that nowadays we also have computational means to calculate our calendars, this configuration of the small crescent Moon and the Pleiades is less useful, though it remains exceptionally beautiful. Thus the ancient Babylonian and middle Babylonian tradition survives only rudimentarily. Furthermore, it is unlikely that it is depicted in the Nebra Disc from Bronze Age Europe, as has long been claimed.</p> <p>This image was taken on Elba Island, Italy, in May 2022.</p> <p>Credit: Giulio Colombo/IAU OAE (<a href="https://creativecommons.org/licenses/by/4.0/legalcode">CC BY 4.0</a>)</p>
Pleiades snow dataset from stereo-images
<p>Snow depth satellite observation datasets made from Pleiades stereo-images, used in the evaluation of the SURFEX/Crocus/SnowPappus simulation system.</p><p>Datasets are in the NETCDF4_CLASSIC format.</p><p>The observed snow depth field is named 'DSN_T_ISBA' with a 250m horizontal resolution.</p><p>Datasets projections are 'EPSG:2154' and is described in the Projection_Type field.</p><p>Datasets are CF Compliant.</p>
Snow depth map and land cover map from satellite photogrammetry (Pleiades) in Tuolumne, California.
<p><strong>snow_depth_20170501_pleiades.tif</strong></p> <p>Snow depth from the difference of digital elevation models (DEMs) calculated from Pléiades images. The snow-on DEMs were acquired on 2017-05-01. The snow-off DEMs were acquired on 2017-08-08 and 2017-08-13.</p> <p> </p> <p><strong>land_cover_20170813-08_pleiades.tif land_cover_20170501_pleiades.tif</strong></p> <p>Land cover calculated from multi-spectral Pléiades images acquired on 2017-05-01 (snow-on) and 2017-08-08 and -13 (snow-off). Classes are snow (1), forest (2), bare rock/low vegetation (3), lake (4).</p>
2020-2022-glacier-elevation-change-data-in-Muztag-Ata-and-Western-Nyainqentanglha-from-Pleiades-DEMs
<p>This data set provides outlier removed, gap filled elevation change values (in meters) of the glaciers in the Muztagh Ata and Western Nyainqentanglha massif in High Mountain Asia from 2020 to 2022.</p>
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