26 datasets found
  1. C

    Digital Topographic Map 1 : 10 000 - 3347-NO Bernau near Berlin

    • ckan.mobidatalab.eu
    pdf, zip
    Updated Jun 1, 2023
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    Landesvermessung und Geobasisinformation Brandenburg (LGB) (2023). Digital Topographic Map 1 : 10 000 - 3347-NO Bernau near Berlin [Dataset]. https://ckan.mobidatalab.eu/dataset/digital-topographical-map-1-10-000-3347-no-bernau-bei-berlin
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    pdf, zipAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Landesvermessung und Geobasisinformation Brandenburg (LGB)
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Area covered
    Bernau bei Berlin
    Description

    Vector data from the basic DLM are generalized for the digital topographic maps and processed according to the ATKIS signature catalogue. The digital data can be submitted via download or on other media carriers. They are available in a maximum of 22 content levels (according to the technical regulations of the AdV) in three forms (individual levels, gray combination and color combination). It should be noted that a UTM grid is only output in the individual levels. The standard resolution is 200L/cm = 508dpi. The TK (ATKIS) presents a map issue with the same content as a printed map. The data is provided free of charge via automated processes or by self-extraction. When using the data, the license conditions must be observed.

  2. C

    Digital Topographic Map 1 : 10 000 - 3548-NO Rüdersdorf near Berlin

    • ckan.mobidatalab.eu
    pdf, zip
    Updated Jun 1, 2023
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    Landesvermessung und Geobasisinformation Brandenburg (LGB) (2023). Digital Topographic Map 1 : 10 000 - 3548-NO Rüdersdorf near Berlin [Dataset]. https://ckan.mobidatalab.eu/dataset/digital-topographical-map-1-10-000-3548-no-rudersdorf-bei-berlin
    Explore at:
    zip, pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Landesvermessung und Geobasisinformation Brandenburg (LGB)
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Area covered
    Rüdersdorf
    Description

    Vector data from the basic DLM are generalized for the digital topographic maps and processed according to the ATKIS signature catalogue. The digital data can be submitted via download or on other media carriers. They are available in a maximum of 22 content levels (according to the technical regulations of the AdV) in three forms (individual levels, gray combination and color combination). It should be noted that a UTM grid is only output in the individual levels. The standard resolution is 200L/cm = 508dpi. The TK (ATKIS) presents a map issue with the same content as a printed map. The data is provided free of charge via automated processes or by self-extraction. When using the data, the license conditions must be observed.

  3. a

    Landscape Scale Snow Depth Maps: Brooks Range Foothills, Alaska, 2012-2018

    • arcticdata.io
    • dataone.org
    • +2more
    Updated Jun 25, 2020
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    Charles Parr; Matthew Sturm; Christopher Larsen (2020). Landscape Scale Snow Depth Maps: Brooks Range Foothills, Alaska, 2012-2018 [Dataset]. http://doi.org/10.18739/A21R6N171
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    Dataset updated
    Jun 25, 2020
    Dataset provided by
    Arctic Data Center
    Authors
    Charles Parr; Matthew Sturm; Christopher Larsen
    Time period covered
    Jan 1, 2012 - Jan 1, 2018
    Area covered
    Variables measured
    snow depth
    Description

    list("Snow is a crucial resource for billions of people on Earth. We proposed a study of snow drifts. Drifts can comprise more than half of the local snow water equivalent (SWE) and play a large and widely overlooked role in snow hydrology. They melt slowly, resulting in a crucial shift in the timing of water delivery that syncs snow melt directly to agricultural and ecosystem needs, yet we know little about drifts on either local or global scales. The overall goal of the research was to better understand the role and importance of snow drifts in hydrology. Using lidar and structure-from-motion (SfM) photogrammetry, we conducted an airborne study of drifts coupled with extensive ground validation in search of preliminary answers to questions on the importance of drifts and the percentage of SWE found in drifts in a variety of terrain types.", "The snow depth maps hosted here represent six years of drift records from northern Alaska and enable the analysis of the relationships between drifts and the surrounding snowcover and the landscape below, as well as drift persistence over time.", "Snow depth mapping was done using airborne SfM photogrammetry (2015 through 2018) and lidar (2012 and 2013) and then adjusted to ground-based probe measurements of snow depth. The area mapped each year over two swaths was about 130 kilometer squared (km^2). To produce the maps, we: (1) conducted an airborne survey (snow-free) in June that was used to produce a snow-free digital elevation model (DEM) for each swath, (2) conducted airborne surveys at near-peak snow cover each April that were used to create digital surface models (DSMs) of the snow cover, then (3) generated annual high resolution (1 m) snow depth maps by subtracting the snow-free DEM from the DSMs. Six such depth maps were produced for each swath between 2012 and 2018, comprising over 600 million individual geospatial snow depth records. Acquiring the snow-free DEM required careful timing because tundra plants leaf out before all snowdrifts melt. The snow depth maps were field-validated and adjusted using 141,207 ground-based probe measurements collected concurrently with the airborne surveys.", "There are twelve (12) snow depth raster maps deposited here. Each map represents the near-peak annual snow depth across a swath of Arctic tundra. There are two swaths: CLPX (a zone that was part of a Cold Land Experimental Site - a NASA snow measurement program that rotates through several different field areas) and HV (Happy Valley). Map years include 2012, 2013, 2015, 2016, 2017, and 2018. Maps are raster data GeoTIFF file formats where each pixel is one by one meter square. The file naming convention is swathdepthDOY_*YYYY*_corrected_*correction_amount*.tif.")

  4. t

    Topographic map 1 : 10 000 - 3548-NW Schöneiche near Berlin (2008) -...

    • service.tib.eu
    Updated Feb 4, 2025
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    (2025). Topographic map 1 : 10 000 - 3548-NW Schöneiche near Berlin (2008) - Vdataset - LDM [Dataset]. https://service.tib.eu/ldmservice/dataset/govdata_fecd59ee-cdfc-4ed6-9507-9fcfa253294f
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    Dataset updated
    Feb 4, 2025
    Area covered
    Schöneiche, Berlin
    Description

    The topographic map on a scale of 1:10,000 is the basic scale of Brandenburg's topographical maps. The earth's surface is relatively complete (only slightly generalized) and geometrically exact to scale. It is the cartographic implementation of a comprehensive topographical survey of the country (photogrammetric aerial image evaluation, incorporation of topographical additional information, topographical field comparison). The historical editions of the TK10 are available from different years from 1992 (basic up-to-dateness of individual sheets older). From 2002, the TK10 (ATKIS) was created by deriving from the basic landscape model (basic DLM). In different map layouts and representations, the historical map sheets depict a piece of Brandenburg's contemporary history. They are available in analogue plot output (paper) and are available free of charge as downloads. When using the data, the license conditions must be observed.

  5. a

    Africa Traffic Map (Night)

    • africageoportal.com
    • rwanda.africageoportal.com
    • +3more
    Updated Dec 12, 2017
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    Africa GeoPortal (2017). Africa Traffic Map (Night) [Dataset]. https://www.africageoportal.com/maps/30588cbd4bb34fb396bd05de38257148
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    Dataset updated
    Dec 12, 2017
    Dataset authored and provided by
    Africa GeoPortal
    Area covered
    Description

    This map features near real-time traffic information for different countries in Africa, designed for a night time display. This map contains a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows:Green (fast): 85 - 100% of free flow speedsYellow (moderate): 65 - 85%Orange (slow); 45 - 65%Red (stop and go): 0 - 45%Esri's historical, live, and predictive traffic feeds come directly from HERE (www.HERE.com). HERE collects billions of GPS and cell phone probe records per month and, where available, uses sensor and toll-tag data to augment the probe data collected. An advanced algorithm compiles the data and computes accurate speeds. The real-time and predictive traffic data is updated every five minutes through traffic feeds. The color coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation and field operations. The color coded map leverages historical, real time and predictive traffic data. Historical traffic is based on the average of observed speeds over the past three years. A color coded traffic map can be requested for the current time and any time in the future. A map for a future request might be used for planning purposes. The map also includes dynamic traffic incidents showing the location of accidents, construction, closures and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis. The service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.

  6. g

    Topographical map 1: 10 000-3548-NO Rüdersdorf near Berlin (2006) |...

    • gimi9.com
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    Topographical map 1: 10 000-3548-NO Rüdersdorf near Berlin (2006) | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_6a803068-50c5-47a4-a651-d9a6b3373e49/
    Explore at:
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Area covered
    Berlin
    Description

    The topographic map in the 1:10,000 scale is the basic measure of Brandenburg’s topographic maps. The Earth’s surface is relatively complete (only slightly generalised) and geometrically accurate to scale. It is the cartographic implementation of a comprehensive topographical country survey (photogrammetric aerial image evaluation, induction of additional topographic information, topographic field comparison). The historical editions of the TK10 are available from various years from 1992 (basic current of individual sheets older). From 2002 onwards, the TK10 (ATKIS) was created by deriving from the basic landscape model (base DLM). In different map layouts and representations, the historical map sheets depict a piece of Brandenburg’s contemporary history. They are available in analogue plot output (paper) and are available for download free of charge. When using the data, the license conditions must be observed.

  7. a

    Camden Bay Snow Depth Maps: Arctic National Wildlife Refuge, Alaska, 2018...

    • arcticdata.io
    • dataone.org
    Updated Jul 7, 2020
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    Charles Parr; Matthew Sturm; Christopher Larsen (2020). Camden Bay Snow Depth Maps: Arctic National Wildlife Refuge, Alaska, 2018 and 2019 [Dataset]. http://doi.org/10.18739/A2MC8RH1W
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    Dataset updated
    Jul 7, 2020
    Dataset provided by
    Arctic Data Center
    Authors
    Charles Parr; Matthew Sturm; Christopher Larsen
    Time period covered
    Jan 1, 2018 - Jan 1, 2019
    Area covered
    Variables measured
    Depth
    Description

    The potential for oil and gas operations in the Arctic National Wildlife Refuge has accelerated the need to be able to delineate current snow conditions andpredict future snow distributions. Such knowledge could prove essential for both planning and management of any resource development operations. Our research combined extensive measurements of snow depth on the ground with aerial photogrammetric mapping in April 2018 and again in April 2019, bothtimes near peak snow depth. Maps were calibrated and validated using thousands of ground depth measurements. The two snow depth maps hosted here represent two years of near peak snow depth from a swath in the Camden Bay area of the refuge. To produce the maps, we: (1) conducted an airborne survey (snow-free) in June that was used to produce a snow-free digital elevation model (DEM) for each swath, (2) conducted airborne surveys at near-peak snow cover each April that were used to create digital surface models (DSMs) of the snow cover, then (3) generated annual high resolution (1 meter(m)) snow depth maps by subtracting the snow-free DEM from the DSMs. Acquiring the snow-free DEM required careful timing because tundra plants leaf out before all snowdrifts melt. The snow depth maps were field-validated and adjusted using thousands of ground-based probe measurements collected concurrently with the airborne surveys. Maps are raster data GeoTIFF file formats where each pixel is one by one meter square.

  8. Reconstruction performance of soluble proteins on 150 FRAGFOLD domains for...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Rahmatullah Roche; Sutanu Bhattacharya; Debswapna Bhattacharya (2023). Reconstruction performance of soluble proteins on 150 FRAGFOLD domains for true Cβ-Cβ contact maps. [Dataset]. http://doi.org/10.1371/journal.pcbi.1008753.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Rahmatullah Roche; Sutanu Bhattacharya; Debswapna Bhattacharya
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The mean TM-score of top predicted models are reported. Values in bold represent the best performance.

  9. g

    Topographical map 1: 10 000-3247-SW Bernau near Berlin — Waldfrieden (2006)...

    • gimi9.com
    Updated Feb 24, 2025
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    (2025). Topographical map 1: 10 000-3247-SW Bernau near Berlin — Waldfrieden (2006) | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_ff2deeff-130c-430d-a059-54a153c164ad
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    Dataset updated
    Feb 24, 2025
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Area covered
    Bernau bei Berlin
    Description

    The topographic map in the 1:10,000 scale is the basic measure of Brandenburg’s topographic maps. The Earth’s surface is relatively complete (only slightly generalised) and geometrically accurate to scale. It is the cartographic implementation of a comprehensive topographical country survey (photogrammetric aerial image evaluation, induction of additional topographic information, topographic field comparison). The historical editions of the TK10 are available from various years from 1992 (basic current of individual sheets older). From 2002 onwards, the TK10 (ATKIS) was created by deriving from the basic landscape model (base DLM). In different map layouts and representations, the historical map sheets depict a piece of Brandenburg’s contemporary history. They are available in analogue plot output (paper) and are available for download free of charge. When using the data, the license conditions must be observed.

  10. C

    Digital topographic map 1 : 10 000 - 2651-SW Wollin (near Penkun)

    • ckan.mobidatalab.eu
    pdf, zip
    Updated Aug 15, 2023
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    Landesvermessung und Geobasisinformation Brandenburg (LGB) (2023). Digital topographic map 1 : 10 000 - 2651-SW Wollin (near Penkun) [Dataset]. https://ckan.mobidatalab.eu/dataset/digital-topographical-map-1-10-000-2651-sw-wollin-near-penkun
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    zip, pdfAvailable download formats
    Dataset updated
    Aug 15, 2023
    Dataset provided by
    Landesvermessung und Geobasisinformation Brandenburg (LGB)
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Area covered
    Penkun
    Description

    Vector data from the basic DLM are generalized for the digital topographic maps and processed according to the ATKIS signature catalogue. The digital data can be submitted via download or on other media carriers. They are available in a maximum of 22 content levels (according to the technical regulations of the AdV) in three forms (individual levels, gray combination and color combination). It should be noted that a UTM grid is only output in the individual levels. The standard resolution is 200L/cm = 508dpi. The TK (ATKIS) presents a map issue with the same content as a printed map. The data is provided free of charge via automated processes or by self-extraction. When using the data, the license conditions must be observed.

  11. C

    Digital topographic map 1 : 10 000 - 3448-SW Neuenhagen near Berlin

    • ckan.mobidatalab.eu
    pdf, zip
    Updated Jun 1, 2023
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    Landesvermessung und Geobasisinformation Brandenburg (LGB) (2023). Digital topographic map 1 : 10 000 - 3448-SW Neuenhagen near Berlin [Dataset]. https://ckan.mobidatalab.eu/dataset/digital-topographical-map-1-10-000-3448-sw-neuenhagen-bei-berlin
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    zip, pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Landesvermessung und Geobasisinformation Brandenburg (LGB)
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Area covered
    Neuenhagen
    Description

    Vector data from the basic DLM are generalized for the digital topographic maps and processed according to the ATKIS signature catalogue. The digital data can be submitted via download or on other media carriers. They are available in a maximum of 22 content levels (according to the technical regulations of the AdV) in three forms (individual levels, gray combination and color combination). It should be noted that a UTM grid is only output in the individual levels. The standard resolution is 200L/cm = 508dpi. The TK (ATKIS) presents a map issue with the same content as a printed map. The data is provided free of charge via automated processes or by self-extraction. When using the data, the license conditions must be observed.

  12. PlanetScope Full Archive

    • earth.esa.int
    • eocat.esa.int
    • +2more
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    European Space Agency, PlanetScope Full Archive [Dataset]. https://earth.esa.int/eogateway/catalog/planetscope-full-archive
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    Dataset authored and provided by
    European Space Agencyhttp://www.esa.int/
    License

    http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1ahttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1a

    Description

    The PlanetScope Level 1B Basic Scene and Level 3B Ortho Scene full archive products are available as part of Planet imagery offer. The Unrectified Asset: PlanetScope Basic Analytic Radiance (TOAR) product is a Scaled Top of Atmosphere Radiance (at sensor) and sensor corrected product, without correction for any geometric distortions inherent in the imaging processes and is not mapped to a cartographic projection. The imagery data is accompanied by Rational Polynomial Coefficients (RPCs) to enable orthorectification by the user. This kind of product is designed for users with advanced image processing and geometric correction capabilities. Basic Scene Product Components and Format Product Components Image File (GeoTIFF format) Metadata File (XML format) Rational Polynomial Coefficients (XML format) Thumbnail File (GeoTIFF format) Unusable Data Mask UDM File (GeoTIFF format) Usable Data Mask UDM2 File (GeoTIFF format) Bands 4-band multispectral image (blue, green, red, near-infrared) or 8-band (coastal-blue, blue, green I, green, yellow, red, Rededge, near-infrared) Ground Sampling Distance Approximate, satellite altitude dependent Dove-C: 3.0 m-4.1 m Dove-R: 3.0 m-4.1 m SuperDove: 3.7 m-4.2 m Accuracy <10 m RMSE The Rectified assets: The PlanetScope Ortho Scene product is radiometrically-, sensor- and geometrically- corrected and is projected to a UTM/WGS84 cartographic map projection. The geometric correction uses fine Digital Elevation Models (DEMs) with a post spacing of between 30 and 90 metres. Ortho Scene Product Components and Format Product Components Image File (GeoTIFF format) Metadata File (XML format) Thumbnail File (GeoTIFF format) Unusable Data Mask UDM File (GeoTIFF format) Usable Data Mask UDM2 File (GeoTIFF format) Bands 3-band natural colour (red, green, blue) or 4-band multispectral image (blue, green, red, near-infrared) or 8-band (coastal-blue, blue, green I, green, yellow, red, RedEdge, near-infrared) Ground Sampling Distance Approximate, satellite altitude dependent Dove-C: 3.0 m-4.1 m Dove-R: 3.0 m-4.1 m SuperDove: 3.7 m-4.2 m Projection UTM WGS84 Accuracy <10 m RMSE PlanetScope Ortho Scene product is available in the following: PlanetScope Visual Ortho Scene product is orthorectified and colour-corrected (using a colour curve) 3-band RGB Imagery. This correction attempts to optimise colours as seen by the human eye providing images as they would look if viewed from the perspective of the satellite. PlanetScope Surface Reflectance product is orthorectified, 4-band BGRN or 8-band Coastal Blue, Blue, Green I, Green, Yellow, Red, RedEdge, NIR Imagery with geometric, radiometric and corrected for surface reflection. This data is optimal for value-added image processing such as land cover classifications. PlanetScope Analytic Ortho Scene Surface Reflectance product is orthorectified, 4-band BGRN or 8-band Coastal Blue, Blue, Green I, Green, Yellow, Red, RedEdge, NIR Imagery with geometric, radiometric and calibrated to top of atmosphere radiance. As per ESA policy, very high-resolution imagery of conflict areas cannot be provided.

  13. e

    Topographic map 1 : 50 000 - L3346 Bernau near Berlin (2016)

    • data.europa.eu
    html, pdf
    Updated Aug 9, 2024
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    Landesvermessung und Geobasisinformation Brandenburg (LGB) (2024). Topographic map 1 : 50 000 - L3346 Bernau near Berlin (2016) [Dataset]. https://data.europa.eu/data/datasets/e36e6195-b39a-4e28-a69b-5070add671a1?locale=en
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    html, pdfAvailable download formats
    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Landesvermessung und Geobasisinformation Brandenburg (LGB)
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Description

    The topographic map at a scale of 1:50,000 is a map derived from the map set TK25. The various manifestations of the earth's surface are represented in scale-based generalization. Due to the smaller scale, it depicts regions in detail and clearly. The historical editions of the TK50 are available from different years from 1993 (basic up-to-dateness of individual sheets older). From 2007, the TK50 (ATKIS) was created by deriving from the Digital Landscape Model 50 (DLM50). In different map layouts and representations, the historical map sheets depict a piece of Brandenburg's contemporary history. They are available in analogue plot output (paper) and are available free of charge as downloads. When using the data, the license conditions must be observed.

  14. g

    Topographic map 1: 25000 – 3347 Bernau near Berlin (2009) | gimi9.com

    • gimi9.com
    Updated Nov 24, 2023
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    (2023). Topographic map 1: 25000 – 3347 Bernau near Berlin (2009) | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_49d38761-5c28-4e31-8928-fbbd709ebb95/
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    Dataset updated
    Nov 24, 2023
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Area covered
    Berlin, Bernau bei Berlin
    Description

    The topographic map in scale 1:25.000 is a map derived from the basic scale (TK10). The various manifestations of the Earth’s surface are presented in scale-based generalisation. In addition to many details such as churches, hospitals and railway stations, it also shows the different types of construction. The historical editions of the TK25 are available from different years from 1991 (basicity of individual sheets older). From 2004, the TK25 (ATKIS) was created by derivation from the basic landscape model (basic DLM). In different map layouts and illustrations, the historical map sheets depict a piece of Brandenburg’s contemporary history. They are available in analogue plot output (paper) and are available free of charge as a download. When using the data, the license terms must be observed.

  15. g

    Topographic map 1: 25000 – 3548 Rüdersdorf near Berlin (2018) | gimi9.com

    • gimi9.com
    Updated Feb 24, 2025
    + more versions
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    (2025). Topographic map 1: 25000 – 3548 Rüdersdorf near Berlin (2018) | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_6cf06400-178f-4460-b2e6-9e805641d52c
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    Dataset updated
    Feb 24, 2025
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Area covered
    Rüdersdorf, Berlin
    Description

    The topographic map in scale 1:25.000 is a map derived from the basic scale (TK10). The various manifestations of the Earth’s surface are presented in scale-based generalisation. In addition to many details such as churches, hospitals and railway stations, it also shows the different types of construction. The historical editions of the TK25 are available from different years from 1991 (basicity of individual sheets older). From 2004, the TK25 (ATKIS) was created by derivation from the basic landscape model (basic DLM). In different map layouts and illustrations, the historical map sheets depict a piece of Brandenburg’s contemporary history. They are available in analogue plot output (paper) and are available free of charge as a download. When using the data, the license terms must be observed. The topographic map in scale 1:25.000 is a map derived from the basic scale (TK10). The various manifestations of the Earth’s surface are presented in scale-based generalisation. In addition to many details such as churches, hospitals and railway stations, it also shows the different types of construction. The historical editions of the TK25 are available from different years from 1991 (basicity of individual sheets older). From 2004, the TK25 (ATKIS) was created by derivation from the basic landscape model (basic DLM). In different map layouts and illustrations, the historical map sheets depict a piece of Brandenburg’s contemporary history. They are available in analogue plot output (paper) and are available free of charge as a download. When using the data, the license terms must be observed.

  16. m

    Oyster Beds in Florida

    • geodata.myfwc.com
    • hub.arcgis.com
    Updated Mar 12, 2015
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    Florida Fish and Wildlife Conservation Commission (2015). Oyster Beds in Florida [Dataset]. https://geodata.myfwc.com/datasets/oyster-beds-in-florida
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    Dataset updated
    Mar 12, 2015
    Dataset authored and provided by
    Florida Fish and Wildlife Conservation Commission
    Area covered
    Description

    This GIS data set represents oyster coverage for available study areas in the state of Florida. Not all areas have been mapped, but this dataset represents the oyster data available to FWRI as of March 2025. Polygons representing dead oyster mass have been removed as of January 2022. Previous compilations included both live and dead oysters. Please contact GISLibrarian@MyFWC.com for the full source datasets used in this compilation. Source dates vary and many studies are much older than the compilation date. See the Source Information section for more details.

  17. u

    UAS imagery protocols to map vegetation are transferable between dryland...

    • agdatacommons.nal.usda.gov
    • s.cnmilf.com
    • +1more
    bin
    Updated Oct 21, 2024
    + more versions
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    Patrick E. Clark (2024). UAS imagery protocols to map vegetation are transferable between dryland sites across an elevational gradient [Dataset]. http://doi.org/10.15482/USDA.ADC/1528092
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    binAvailable download formats
    Dataset updated
    Oct 21, 2024
    Dataset provided by
    Ag Data Commons
    Authors
    Patrick E. Clark
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This dataset consists of UAS flight images from three sites along an elevation and precipitation gradient within Reynolds Creek Experimental Watershed collected between June 4 and July 9, 2019. The lowest elevation site ('wbs1', 1,425 m) was vegetated by shrub steppe dominated Wyoming big sage (Artemisia tridentata ssp. wyomingensis). Vegetation at the middle elevation site ('los1', 1,680 m) was shrub steppe dominated by low sage (Artemisia arbuscula). Shrub steppe at the highest elevation site ('mbs1', 2,110 m) was dominated by mountain big sage (Artemisia tridentata ssp. vaseyana) and Utah snowberry (Symphoricarpos oreophilus utahensis). A MicaSense RedEdge 3 sensor mounted on a DJI Matrice 600 Pro UAS platform was used to collect multispectral imagery of each site. The drone was flown by a Federal Aviation Administration (FAA) Part 107 certified remote pilot between June 5 and July 9 2019. All flights were completed within two hours of solar noon. The RedEdge is a broadband multispectral sensor: blue (475nm), green (560nm), red (668nm), red edge (717nm), and near-infrared (840nm). The RedEdge sensor was radiometrically calibrated using a reflectance panel before and after each flight. A DJI Phantom 4 with the stock FC330 Red Green Blue (sRGB) camera was flown over each site to collect imagery at a finer spatial resolution to assist with training and test data for vegetation type classification.Resources in this dataset:Resource Title: UAS Imagery and Location Data - SCINet.File Name: Web Page, url: https://app.globus.org/file-manager?origin_id=904c2108-90cf-11e8-9672-0a6d4e044368&origin_path=/LTS/ADCdatastorage/NAL/published/node424632/Folder containing imagery (.zip) and location (.csv) data. The .zip files contain unprocessed visual (RGB) imagery in .jpg format acquired with a 12-MP DJI (Sony) FC330 camera and unprocessed multispectral, 5-band imagery in .tif format acquired with a MicaSense RedEdge-M sensor. Camera settings and EXIF information are embedded in the imagery files. The .csv files contain ground control point (GCP) labels and coordinate information recorded with an RTK instrument for GCP target (black/white cross) locations at the relevant study areas.SCINet users: The files can be accessed/retrieved with valid SCINet account at this location: /LTS/ADCdatastorage/NAL/published/node424632/ See the SCINet File Transfer guide for more information on moving large files: https://scinet.usda.gov/guides/data/datatransferGlobus users: The files can also be accessed through Globus by following this data link. The user will need to log in to Globus in order to retrieve this data. User accounts are free of charge with several options for signing on. Instructions for creating an account are on the login page.

  18. C

    Topographic map 1 : 10 000 - 3448-SW Neuenhagen near Berlin (2007)

    • ckan.mobidatalab.eu
    pdf
    Updated Aug 23, 2023
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    Landesvermessung und Geobasisinformation Brandenburg (LGB) (2023). Topographic map 1 : 10 000 - 3448-SW Neuenhagen near Berlin (2007) [Dataset]. https://ckan.mobidatalab.eu/dataset/topographical-map-1-10-000-3448-sw-neuenhagen-bei-berlin-2007
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    pdfAvailable download formats
    Dataset updated
    Aug 23, 2023
    Dataset provided by
    Landesvermessung und Geobasisinformation Brandenburg (LGB)
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Area covered
    Berlin, Neuenhagen
    Description

    The topographic map on a scale of 1:10,000 is the basic scale of the topographic state map series in Brandenburg. The earth's surface is represented relatively completely (only slightly generalized) and geometrically exact to scale. It is the cartographic implementation of a comprehensive topographical survey (photogrammetric aerial photo analysis, incorporation of additional topographical information, topographical field comparison). The historical editions of the TK10 are available from different years from 1992 (basic topicality of individual sheets older). From 2002, the TK10 (ATKIS) was created by deriving it from the basic landscape model (basic DLM). In different map layouts and representations, the historical map sheets depict a piece of contemporary history in Brandenburg. They are available in analog plot output (paper) and can be downloaded free of charge. When using the data, the license conditions must be observed.

  19. K

    Oregon Highway Mileposts

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated May 30, 2009
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    State of Oregon (2009). Oregon Highway Mileposts [Dataset]. https://koordinates.com/layer/874-oregon-highway-mileposts/
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    mapinfo tab, shapefile, mapinfo mif, pdf, geopackage / sqlite, geodatabase, kml, dwg, csvAvailable download formats
    Dataset updated
    May 30, 2009
    Dataset authored and provided by
    State of Oregon
    License

    https://koordinates.com/license/attribution-3-0/https://koordinates.com/license/attribution-3-0/

    Area covered
    Description

    Vector polygon map data of highway mileposts from Oregon, containing 7696 features.

    Mile marker GIS data consists of points along a linear feature, such as roads or railways. They serve as reference points to measure distances along these features. Mile markers are often labeled with numbers indicating their distance from a starting point, such as a highway's origin or a railway station.

    These markers are invaluable for navigation, route planning, emergency response, and data collection. For example, they help drivers and emergency services identify their location precisely on a road. In transportation planning, mile markers aid in analyzing traffic patterns, determining optimal routes, and estimating travel times. Additionally, they facilitate maintenance activities by providing clear reference points for inspecting and repairing infrastructure.

    This data is available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

  20. n

    MODIS/Terra+Aqua BRDF Model Parameters Daily NRT L3 Global 1km SIN Grid

    • cmr.earthdata.nasa.gov
    • datasets.ai
    • +5more
    Updated Sep 21, 2023
    + more versions
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    (2023). MODIS/Terra+Aqua BRDF Model Parameters Daily NRT L3 Global 1km SIN Grid [Dataset]. http://doi.org/10.5067/MODIS/MCD19A3DN.NRT.061
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    Dataset updated
    Sep 21, 2023
    Time period covered
    Sep 10, 2023 - Present
    Area covered
    Earth
    Description

    The MODIS Near Real Time (NRT) Combined Terra and Aqua combined Multi-Angle Implementation of Atmospheric Correction (MAIAC) Bidirectional Reflectance Distribution Function (BRDF) Model Parameters gridded Level 3 product (MCD19A3DN) produced daily at 1 kilometer (km) pixel resolutions. The MCD19A3DN product provides three coefficients (weights) of the RossThick/Li-Sparse (RTLS) BRDF model that can be used to describe the anisotropy of each pixel. The retrievals represent cloud-free and low aerosol conditions.

    The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017. A polarization correction has been applied to the L1B Reflective Solar Bands (RSB).

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Landesvermessung und Geobasisinformation Brandenburg (LGB) (2023). Digital Topographic Map 1 : 10 000 - 3347-NO Bernau near Berlin [Dataset]. https://ckan.mobidatalab.eu/dataset/digital-topographical-map-1-10-000-3347-no-bernau-bei-berlin

Digital Topographic Map 1 : 10 000 - 3347-NO Bernau near Berlin

Explore at:
pdf, zipAvailable download formats
Dataset updated
Jun 1, 2023
Dataset provided by
Landesvermessung und Geobasisinformation Brandenburg (LGB)
License

Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
License information was derived automatically

Area covered
Bernau bei Berlin
Description

Vector data from the basic DLM are generalized for the digital topographic maps and processed according to the ATKIS signature catalogue. The digital data can be submitted via download or on other media carriers. They are available in a maximum of 22 content levels (according to the technical regulations of the AdV) in three forms (individual levels, gray combination and color combination). It should be noted that a UTM grid is only output in the individual levels. The standard resolution is 200L/cm = 508dpi. The TK (ATKIS) presents a map issue with the same content as a printed map. The data is provided free of charge via automated processes or by self-extraction. When using the data, the license conditions must be observed.

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