100+ datasets found
  1. d

    Shapefile to DJI Pilot KML conversion tool

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
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    Cadieux, Nicolas (2023). Shapefile to DJI Pilot KML conversion tool [Dataset]. http://doi.org/10.5683/SP3/W1QMQ9
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Cadieux, Nicolas
    Description

    This Python script (Shape2DJI_Pilot_KML.py) will scan a directory, find all the ESRI shapefiles (.shp), reproject to EPSG 4326 (geographic coordinate system WGS84 ellipsoid), create an output directory and make a new Keyhole Markup Language (.kml) file for every line or polygon found in the files. These new *.kml files are compatible with DJI Pilot 2 on the Smart Controller (e.g., for M300 RTK). The *.kml files created directly by ArcGIS or QGIS are not currently compatible with DJI Pilot.

  2. B

    GIS2DJI: GIS file to DJI Pilot kml conversion tool

    • borealisdata.ca
    Updated Feb 22, 2024
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    Nicolas Cadieux (2024). GIS2DJI: GIS file to DJI Pilot kml conversion tool [Dataset]. http://doi.org/10.5683/SP3/AFPMUJ
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 22, 2024
    Dataset provided by
    Borealis
    Authors
    Nicolas Cadieux
    License

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

    Description

    GIS2DJI is a Python 3 program created to exports GIS files to a simple kml compatible with DJI pilot. The software is provided with a GUI. GIS2DJI has been tested with the following file formats: gpkg, shp, mif, tab, geojson, gml, kml and kmz. GIS_2_DJI will scan every file, every layer and every geometry collection (ie: MultiPoints) and create one output kml or kmz for each object found. It will import points, lines and polygons, and converted each object into a compatible DJI kml file. Lines and polygons will be exported as kml files. Points will be converted as PseudoPoints.kml. A PseudoPoints fools DJI to import a point as it thinks it's a line with 0 length. This allows you to import points in mapping missions. Points will also be exported as Point.kmz because PseudoPoints are not visible in a GIS or in Google Earth. The .kmz file format should make points compatible with some DJI mission software.

  3. Elevation Plots KML Shapefile and Coordinates

    • search.dataone.org
    Updated Nov 20, 2023
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    Mei Yu; Jess Zimmerman; Andrew McFadden (2023). Elevation Plots KML Shapefile and Coordinates [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-luq%2F11%2F9
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    Dataset updated
    Nov 20, 2023
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Mei Yu; Jess Zimmerman; Andrew McFadden
    Time period covered
    Feb 17, 2012
    Area covered
    Variables measured
    Site Name, Latitude of the Block-Plot, Longitude of the Block-Plot
    Description

    The Elevation KML shapefile and coordinates. Visit https://dataone.org/datasets/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-luq%2F11%2F9 for complete metadata about this dataset.

  4. e

    MRCE Plots KML shapefile and coordinates

    • portal.edirepository.org
    • search.dataone.org
    csv
    Updated Jan 26, 2024
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    Andrew McFadden (2024). MRCE Plots KML shapefile and coordinates [Dataset]. http://doi.org/10.6073/pasta/525b5a62309de6c99ad0452c91944565
    Explore at:
    csv(6549 byte)Available download formats
    Dataset updated
    Jan 26, 2024
    Dataset provided by
    EDI
    Authors
    Andrew McFadden
    Area covered
    Variables measured
    Coordinate Type, Given Plot Number, Coordinate Type Description, Latitude geographic coordinate degrees, Longitude geographic coordinate degrees
    Description

    The coordinates and shapefile (kml) of the MRCE Plots

        Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
    
  5. g

    Mexico Shapefile

    • geopostcodes.com
    shp
    Updated May 24, 2025
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    GeoPostcodes (2025). Mexico Shapefile [Dataset]. https://www.geopostcodes.com/country/mexico-shapefile
    Explore at:
    shpAvailable download formats
    Dataset updated
    May 24, 2025
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Mexico
    Description

    Download high-quality, up-to-date Mexico shapefile boundaries (SHP, projection system SRID 4326). Our Mexico Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

  6. e

    Elevation Plots KML Shapefile and Coordinates

    • portal.edirepository.org
    • search.datacite.org
    csv, kml
    Updated May 21, 2018
    + more versions
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    Mei Yu; Jess Zimmerman; Andrew McFadden (2018). Elevation Plots KML Shapefile and Coordinates [Dataset]. http://doi.org/10.6073/pasta/fbd9d1bd0a34c5685482ff82baf45353
    Explore at:
    kml(11628), csv(246)Available download formats
    Dataset updated
    May 21, 2018
    Dataset provided by
    EDI
    Authors
    Mei Yu; Jess Zimmerman; Andrew McFadden
    Time period covered
    Feb 17, 2012
    Area covered
    Variables measured
    Site Name, Latitude of the Block-Plot, Longitude of the Block-Plot
    Description

    The Elevation KML shapefile and coordinates

  7. MRCE Plots KML shapefile and coordinates

    • search.dataone.org
    • portal.edirepository.org
    Updated Nov 20, 2023
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    Andrew McFadden; Eda Melendez-Colom (2023). MRCE Plots KML shapefile and coordinates [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-luq%2F26%2F4
    Explore at:
    Dataset updated
    Nov 20, 2023
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Andrew McFadden; Eda Melendez-Colom
    Variables measured
    Coordinate Type, Given Plot Number, Coordinate Type Description, Latitude geographic coordinate degrees, Longitude geographic coordinate degrees
    Description

    The coordinates and shapefile (kml) of the MRCE Plots

  8. CTE Plots KML shapefile and coordinates

    • dataone.org
    • portal.edirepository.org
    • +2more
    Updated May 19, 2018
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    Mei Yu; Jess Zimmerman; Andrew McFadden (2018). CTE Plots KML shapefile and coordinates [Dataset]. https://dataone.org/datasets/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-luq%2F10%2F3
    Explore at:
    Dataset updated
    May 19, 2018
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Mei Yu; Jess Zimmerman; Andrew McFadden
    Time period covered
    Jun 7, 2011 - May 18, 2018
    Area covered
    Variables measured
    CTE Block-PLot identifier, Latitude of the Block-Plot, Longitude of the Block-Plot
    Description

    The Canopy Trimming Experiment Plots KML shapefile and coordinates

  9. g

    Iran Shapefile

    • geopostcodes.com
    shp
    Updated Jun 2, 2025
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    GeoPostcodes (2025). Iran Shapefile [Dataset]. https://www.geopostcodes.com/country/iran-shapefile
    Explore at:
    shpAvailable download formats
    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Iran
    Description

    Download high-quality, up-to-date Iran shapefile boundaries (SHP, projection system SRID 4326). Our Iran Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

  10. g

    Taiwan Shapefile

    • geopostcodes.com
    shp
    Updated Jun 11, 2025
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    GeoPostcodes (2025). Taiwan Shapefile [Dataset]. https://www.geopostcodes.com/country/taiwan-shapefile
    Explore at:
    shpAvailable download formats
    Dataset updated
    Jun 11, 2025
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Taiwan
    Description

    Download high-quality, up-to-date Taiwan shapefile boundaries (SHP, projection system SRID 4326). Our Taiwan Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

  11. e

    EVFS incoming power lines KML shapefile and coordinates

    • portal.edirepository.org
    • search.dataone.org
    csv, kml
    Updated Dec 11, 2018
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    Andrew McFadden; Eda Melendez-Colom (2018). EVFS incoming power lines KML shapefile and coordinates [Dataset]. http://doi.org/10.6073/pasta/19ff3c2263d90f74ad84fb2a0364c3da
    Explore at:
    kml(3901), csv(595)Available download formats
    Dataset updated
    Dec 11, 2018
    Dataset provided by
    EDI
    Authors
    Andrew McFadden; Eda Melendez-Colom
    Time period covered
    Feb 17, 2012
    Area covered
    Variables measured
    Coordinate Type, Assigned record number, Coordinate Type Description, Latitude geographic coordinate degrees, Longitude geographic coordinate degrees
    Description

    The coordinates and shapefile (kml) of the incoming power lines near El Verde Field Station

  12. g

    Ivory Coast Shapefile

    • geopostcodes.com
    shp
    Updated May 28, 2025
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    GeoPostcodes (2025). Ivory Coast Shapefile [Dataset]. https://www.geopostcodes.com/country/ivory-coast-shapefile
    Explore at:
    shpAvailable download formats
    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Côte d'Ivoire
    Description

    Download high-quality, up-to-date Ivory Coast shapefile boundaries (SHP, projection system SRID 4326). Our Ivory Coast Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

  13. d

    Road distribution map

    • data.gov.tw
    json
    Updated Jun 30, 2025
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    Ministry of Agriculture (2025). Road distribution map [Dataset]. https://data.gov.tw/en/datasets/38213
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Ministry of Agriculture
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    Provide the distribution map file of forest roads in SHP and KML formats, as well as the download link for the interpretation data.

  14. Sentinel-2 UTM Tiling Grid (ESA)

    • catalogue.eatlas.org.au
    • researchdata.edu.au
    Updated Feb 1, 2016
    + more versions
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    Australian Institute of Marine Science (AIMS) (2016). Sentinel-2 UTM Tiling Grid (ESA) [Dataset]. https://catalogue.eatlas.org.au/geonetwork/srv/api/records/f7468d15-12be-4e3f-a246-b2882a324f59
    Explore at:
    www:link-1.0-http--related, www:link-1.0-http--downloaddata, ogc:wms-1.1.1-http-get-mapAvailable download formats
    Dataset updated
    Feb 1, 2016
    Dataset provided by
    Australian Institute Of Marine Sciencehttp://www.aims.gov.au/
    Area covered
    Description

    This dataset shows the tiling grid and their IDs for Sentinel 2 satellite imagery. The tiling grid IDs are useful for selecting imagery of an area of interest.

    Sentinel 2 is an Earth observation satellite developed and operated by the European Space Agency (ESA). Its imagery has 13 bands in the visible, near infrared and short wave infrared part of the spectrum. It has a spatial resolution of 10 m, 20 m and 60 m depending on the spectral band.

    Sentinel-2 has a 290 km field of view when capturing its imagery. This imagery is then projected on to a UTM grid and made available publicly on 100x100 km2 tiles. Each tile has a unique ID. This ID scheme allows all imagery for a given tile to be located.

    Provenance:

    The ESA make the tiling grid available as a KML file (see links). We were, however, unable to convert this KML into a shapefile for deployment on the eAtlas. The shapefile used for this layer was sourced from the Git repository developed by Justin Meyers (https://github.com/justinelliotmeyers/Sentinel-2-Shapefile-Index).

    Why is this dataset in the eAtlas?:

    Sentinel 2 imagery is very useful for the studying and mapping of reef systems. Selecting imagery for study often requires knowing what the tile grid IDs are for the area of interest. This dataset is intended as a reference layer. The eAtlas is not a custodian of this dataset and copies of the data should be obtained from the original sources.

    Data Dictionary:

    • Name: UTM code associated with each tile. For example 55KDV
  15. Plots_Klawinski Plots KML shapefile and coordinates

    • search.dataone.org
    • portal.edirepository.org
    Updated Nov 20, 2023
    + more versions
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    Paul Klawinski; Andrew McFadden; Eda Melendez-Colom (2023). Plots_Klawinski Plots KML shapefile and coordinates [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-luq%2F19%2F16
    Explore at:
    Dataset updated
    Nov 20, 2023
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Paul Klawinski; Andrew McFadden; Eda Melendez-Colom
    Time period covered
    Jan 1, 2018
    Area covered
    Variables measured
    Coordinate Type, Latitude of the Plot, Longitude of the Plot
    Description

    The coordinates and shapefile (kml) of the Paul Klawinsky plots near El Verde Field Station

  16. g

    Israel Shapefile

    • geopostcodes.com
    shp
    Updated Jun 2, 2025
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    GeoPostcodes (2025). Israel Shapefile [Dataset]. https://www.geopostcodes.com/country/israel-shapefile
    Explore at:
    shpAvailable download formats
    Dataset updated
    Jun 2, 2025
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Israel
    Description

    Download high-quality, up-to-date Israel shapefile boundaries (SHP, projection system SRID 4326). Our Israel Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

  17. g

    Colombia Shapefile

    • geopostcodes.com
    shp
    Updated May 28, 2025
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    GeoPostcodes (2025). Colombia Shapefile [Dataset]. https://www.geopostcodes.com/country/colombia-shapefile
    Explore at:
    shpAvailable download formats
    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Colombia
    Description

    Download high-quality, up-to-date Colombia shapefile boundaries (SHP, projection system SRID 4326). Our Colombia Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

  18. d

    Building Footprints (current).

    • datadiscoverystudio.org
    • data.wu.ac.at
    csv, json
    Updated Feb 3, 2018
    + more versions
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    (2018). Building Footprints (current). [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/57c1600ae5cd4c6db2fad3195523be58/html
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 3, 2018
    Description

    description: Building footprints in Chicago. Metadata may be viewed and downloaded at http://bit.ly/HZVDIY. The data can be viewed on the Chicago Data Portal with a web browser. However, to view or use the files outside of a web browser, you will need to use compression software and special GIS software, such as ESRI ArcGIS (shapefile) or Google Earth (KML or KMZ), is required.; abstract: Building footprints in Chicago. Metadata may be viewed and downloaded at http://bit.ly/HZVDIY. The data can be viewed on the Chicago Data Portal with a web browser. However, to view or use the files outside of a web browser, you will need to use compression software and special GIS software, such as ESRI ArcGIS (shapefile) or Google Earth (KML or KMZ), is required.

  19. g

    Sweden Shapefile

    • geopostcodes.com
    shp
    Updated Jun 9, 2025
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    GeoPostcodes (2025). Sweden Shapefile [Dataset]. https://www.geopostcodes.com/country/sweden-shapefile
    Explore at:
    shpAvailable download formats
    Dataset updated
    Jun 9, 2025
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Sweden
    Description

    Download high-quality, up-to-date Sweden shapefile boundaries (SHP, projection system SRID 4326). Our Sweden Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

  20. g

    Portugal Shapefile

    • geopostcodes.com
    shp
    Updated Jun 7, 2025
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    GeoPostcodes (2025). Portugal Shapefile [Dataset]. https://www.geopostcodes.com/country/portugal-shapefile
    Explore at:
    shpAvailable download formats
    Dataset updated
    Jun 7, 2025
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Portugal
    Description

    Download high-quality, up-to-date Portugal shapefile boundaries (SHP, projection system SRID 4326). Our Portugal Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

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Cadieux, Nicolas (2023). Shapefile to DJI Pilot KML conversion tool [Dataset]. http://doi.org/10.5683/SP3/W1QMQ9

Shapefile to DJI Pilot KML conversion tool

Explore at:
Dataset updated
Dec 28, 2023
Dataset provided by
Borealis
Authors
Cadieux, Nicolas
Description

This Python script (Shape2DJI_Pilot_KML.py) will scan a directory, find all the ESRI shapefiles (.shp), reproject to EPSG 4326 (geographic coordinate system WGS84 ellipsoid), create an output directory and make a new Keyhole Markup Language (.kml) file for every line or polygon found in the files. These new *.kml files are compatible with DJI Pilot 2 on the Smart Controller (e.g., for M300 RTK). The *.kml files created directly by ArcGIS or QGIS are not currently compatible with DJI Pilot.

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