Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Curb lines for the city of Chicago. Curb lines mark the points where curbs meet the edge of the street pavement. To view or use these files, special GIS software such as Google Earth is required. To download, right-click the "Download" link above and choose "Save link as." This is a KMZ zipped file, and therefore upzipping software, such as 7-Zip, is required to convert to KML.
Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
License information was derived automatically
This data set was acquired with a Video Camera assembled as part of the MARGINS Data Portal. These data files are of Google Earth (KML/KMZ) format include photos and vehicle navigation information.
This data set was acquired with a Video Camera assembled as part of the 2007 R2K_GoogleEarth data compilation (Chief Scientist: MGDS; Investigator(s): Dr. Vicki Ferrini). These data files are of Google Earth (KML/KMZ) format include photos and vehicle navigation information.
This dataset includes buildings and districts in Chicago which are listed on the National Register of Historic Places (NRHP) or designated as National Historic Landmarks (NHL). The NRHP is the official list of the Nation's historic places worthy of preservation; NHLs are nationally significant historic places designated by the Secretary of the Interior because they possess exceptional value or quality in illustrating or interpreting the heritage of the United States. The NRHP and NHL programs are federally-established and are administered by the National Park Service (www.nps/gov/nr) and the Illinois Historic Preservation Agency (IHPA, www.illinoishistory.gov/). This dataset is provided by the City of Chicago based on NRHP and NHL nominations provided by IHPA. To view or use this KMZ file, compression software, such as 7-Zip, and special GIS software, such as Google Earth, are required. To download this file, right-click the "Download" link above and choose "Save link as." Time Period: Data is current as of June 2012. Update Frequency: Data is updated as needed.
KML file of boundary for the city of Chicago. To view or use these files, special GIS software, such as Google Earth, is required.
Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
License information was derived automatically
This data set was acquired with a Kongsberg Maritime EM302 Multibeam Sonar and Kongsberg Maritime EM710 Multibeam Sonar during R/V Falkor expedition FK171224 conducted in 2017 (Chief Scientist: Dr. Brian Taylor, Investigator: Dr. Brian Taylor). These data files are of Google Earth (KML/KMZ) format and include Bathymetry data that were processed after acquisition.
The 2020 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. A consolidated city is a unit of local government for which the functions of an incorporated place and its county or minor civil division (MCD) have merged. This action results in both the primary incorporated place and the county or MCD continuing to exist as legal entities, even though the county or MCD performs few or no governmental functions and has few or no elected officials. Where this occurs, and where one or more other incorporated places in the county or MCD continue to function as separate governments, even though they have been included in the consolidated government, the primary incorporated place is referred to as a consolidated city. The Census Bureau classifies the separately incorporated places within the consolidated city as place entities and creates a separate place (balance) record for the portion of the consolidated city not within any other place. The generalized boundaries of the consolidated cities in this file are based on those as of January 1, 2020, as reported through the Census Bureau's Boundary and Annexation Survey (BAS).
Sidewalks in Chicago. To view or use this KMZ file, compression software, such as 7-Zip, and special GIS software, such as Google Earth, are required. To download this file, right-click the "Download" link above and choose "Save link as." Note this is a draft file and may be updated periodically.
Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
License information was derived automatically
This data set was acquired with a Video Camera assembled as part of the 2003 MGDS_GoogleEarth data compilation (Chief Scientist: MGDS; Investigator(s): Dr. Vicki Ferrini). These data files are of Google Earth (KML/KMZ) format and include Google Earth Visualization data and were processed after data collection.
KML file of Metra Stations. To view or use these files, special GIS software such as Google Earth is required. To download, right-click the "Download" link above and choose "Save link as."
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Flowset maps of the southwestern Laurentide Ice Sheet (available here as a .kml file).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
GPX/KML files of the counting block outlines on Proclamation Island, Bounty Island group. Outlines created by high precision GPS measurements conducted in 2004.
Police beats in Chicago. To view or use this KMZ file, compression software, such as 7-Zip, and special GIS software, such as Google Earth, are required. To download this file, right-click the "Download" link above and choose "Save link as."
Buildings located in Chicago parks. To view or use this KMZ file, compression software, such as 7-Zip, and special GIS software, such as Google Earth, are required. To download this file, right-click the "Download" link above and choose "Save link as."
The AIMS Google Earth Catalogue contains lists of KML/KMZ files, created by AIMS staff, that can be loaded into Google Earth and some other 3D programs. Maps may be used as is, or customized in Google Earth for your specific purposes.Files in the cataloque have been created for a variety of purposes such as providing high resolution imagery of islands and reefs and mapping study sites. Staff are encouraged to add their own files to the catalogue. The application contains instructions to how to add and document files to share internally. If you are familiar with RSS Feeds, Syndication or News Feeds, you might be interested in adding the RSS URL to your feed reader in your web browser or email client. The AIMS Google Earth Catalogue is an initiative of the AIMS Data Centre to provide a facility for sharing KML/KMZ files between AIMS staff.
This dataset contains the weather radar (WXR) data collected during the High Altitude Ice Crystals - High Ice Water Content (HAIC-HIWC) project that took place in Darwin, Australia. Some of the data files provide 4D tracks of the aircraft that can be played within Google Earth. The other data files contain the radar data. The data files are arranged by flight and are in zip, kml, and kmz format.
This data set was acquired with a Video Camera assembled as part of the MARGINS Data Portal in 2007. These data files are of Google Earth (KML/KMZ) format include photos and vehicle navigation information.
The 2020 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files. The cartographic boundary files include both incorporated places (legal entities) and census designated places or CDPs (statistical entities). An incorporated place is established to provide governmental functions for a concentration of people as opposed to a minor civil division (MCD), which generally is created to provide services or administer an area without regard, necessarily, to population. Places always nest within a state, but may extend across county and county subdivision boundaries. An incorporated place usually is a city, town, village, or borough, but can have other legal descriptions. CDPs are delineated for the decennial census as the statistical counterparts of incorporated places. CDPs are delineated to provide data for settled concentrations of population that are identifiable by name, but are not legally incorporated under the laws of the state in which they are located. The boundaries for CDPs often are defined in partnership with state, local, and/or tribal officials and usually coincide with visible features or the boundary of an adjacent incorporated place or another legal entity. CDP boundaries often change from one decennial census to the next with changes in the settlement pattern and development; a CDP with the same name as in an earlier census does not necessarily have the same boundary. The only population/housing size requirement for CDPs is that they must contain some housing and population. The generalized boundaries of most incorporated places in this file are based on those as of January 1, 2020, as reported through the Census Bureau's Boundary and Annexation Survey (BAS). The generalized boundaries of all CDPs based on those delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.
South Sudan administrative levels 0 (country), 1 (state), and 2 (county) boundary polygon, line, and point shapefiles and KML files and gazetteer; Abyei boundary polygon shapefile and KMZ file; and live services.
This administrative boundaries Common Operational Database (COD-AB) was endorsed by the South Sudan Inter Cluster Coordinating Group (ICCG) and Humanitarian Country Team (HCT) on August 14, 2018.
These boundary files are suitable for database or GIS linkage to the South Sudan administrative levels 0-2 2014 and 2018 population statistics tables available on HDX.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.