Search Results for "kml"

GeoTools is an open source (LGPL) Java code library which provides standards compliant methods for the manipulation of geospatial data. GeoTools is an Open Source Geospatial Foundation project. The GeoTools library data structures are based on Open Geospatial Consortium (OGC) specifications.

WorldWind Java is an open-source virtual globe SDK developed by NASA that allows developers to embed a 3D Earth visualization into Java applications. It renders detailed global terrain and satellite imagery, and supports real-time geographic data overlays, making it ideal for applications in geospatial analysis, education, simulation, and scientific visualization. With its flexible API and plugin system, WorldWind Java is a powerful platform for building interactive geospatial applications...

MassGeotagger lets you select a photo, a photo folder or a folder tree and update the latitude and longitude coordinates in the EXIF data of the selected photos. To get the GPS coordinates, the method of choice is to select one or several GPX files and set the difference of time between APN time saved in EXIF data and GPS time. However other strategies to match JPG and GPS coordinates are available : by selecting one of the GPX waypoint, by selecting a point on the map or by user...

GpsPrune is a java application to view and manage coordinate data, eg from GPS units. With it you can load a variety of text and Xml formats, view the data (in 2d and 3d), edit and convert the data, correlate photos and audio, create charts and more.

Picasa KML is a servlet that serves KML for images stored in Picasa albums. It is written entirely in Java, and leverages the Google photo/data APIs to dynamically query Picasa. This allows for images to be overlayed on Google Earth.

The project will produce a small standalone Java application which will allow a user to convert ESRI Shapefiles (.shp) to the Google Earth KML format. This will allow ESRI Shapefile points, lines, and polygons to be viewed in Google Earth.

This project gathers data from the National Weather Service and converts it into a KML file for viewing in Google Earth. Initial implementation will focus on Weather Model data.