These features are only available in Google Earth Pro.
Import spreadsheet data
To add location data from a spreadsheet into Google Earth, import the latitude and longitude info. You'll need a text file that is delimited, which means each line is a separate piece of coordinates info. Every location that you import from your text file is converted to a Google Earth placemark and listed in your Places.
Add longitude and latitude from a CSV file
If you would like to practice importing data, you can download a sample CSV file to use with the steps. Or follow these steps with your own CSV file.
- On your computer, open Google Earth Pro.
- Click File
Import.
- Browse to the location of the CSV file and open it.
- In the box that appears, next to Field Type, choose Delimited.
- Next to Delimited, choose Comma.
- Use the preview pane to ensure your data has imported correctly and click Next.
- Next to "This dataset does not contain latitude/longitude information," leave the box unchecked.
- Select the fields in your spreadsheet that contain the latitude and longitude data and click Next.
Optional: Specify the type of each field in your dataset. - Click Finish. Google Earth begins geocoding your data.
- To use a style template, click Yes.
- Click OK.
- Create a new style template, or use a previously generated template.
You can adjust the name, color, icon, and height for your placemark. If you like, save your selections as a template to use in the future.
Import addresses
If you want to see multiple locations around the world, you can import addresses into Google Earth Pro. Each address that you import is converted to a placemark on the Earth.
Import images
You can open GIS imagery files to project images embedded with display information over specific map coordinates in the 3D viewer. Files using NAD83 projection are not supported by Google Earth.
- TIFF (.tif), including GeoTiff and compressed TIFF files
- National Imagery Transmission Format (.ntf)
- Erdas Imagine Images (.img)
Other image files
You can also import images if you manually edit their coordinates for correct positioning. Imagery files without the correct projection information will not be accurately re-projected.
- Portable Network Graphic (.png)
- Joint Photographic Expert (.jpg)
- Atlantis MFF Raster (.hdr)
- PCIDSK Database File (.pix)
- Portable Pixmap Format (.pnm)
- Device Independent Bitmap (.bmp)
Import vector data
You can import files with points, lines, paths, and polygons onto your maps.
- Open Google Earth Pro.
- Click File
Open.
- Select the type of file you want to import or choose All data import formats.
Once imported, the vector elements appear in the 3D viewer and the imported file is listed under the 'Temporary Places' folder.
Note: If you don't use a style template and your data does not contain a 'Name' field, the first available field that contains text is used as the label for data.
Apply a style template
You can apply a style template to vector data that contains fields you want to have displayed in the 3D viewer.
- Style templates can only be applied to placemarks that contain extended schema data, such as those imported in a vector data file.
- You can use the same style template for different data that has the same fields if the template settings are adjusted to represent the data properly.
To apply a style template:
- After you import data to your 'Places' panel, select the data folder and click Edit
Apply Style Template.
- Click Use existing template.
- In the 'Compatible templates' list, choose the style template you want to apply to your data set.
- To edit the style template, click Edit selected template
OK.
- Choose a field from your data that you want to use as a name, or label, for your data. Note: This name appears in the 3D viewer and in the Places panel that lists the data points.
- Click Color to map an element of your data to color styles.
- Click Icon to map an element of your data to one or more icons.
- Click Height to map a height value to a data element.
- Click OK.
You’ll see your data and defined values in the 3D viewer.
Map data fields to different features
Choose field types
When using color, icon, or height mapping for specific fields in your data set, you can define a number of buckets to show different ranges of data. You can choose two basic types of fields from your data when mapping color, icon, or height values.