In a previous post on large-format downloadable historical maps, I noted that the Perry-Castaneda Map Library has an interesting digital collection of Army Map Service topographic maps dating from the 1940s and 1950s, covering large areas of Asia and Africa, along with city maps for Japan, China, Korea and Taiwan (Formosa). Over on the Google Earth Community, “PriceCollins” has been creating a KMZ index file for these maps. So far, he has indexed all 435 city maps:
And 413 1:250K maps covering most of India, Pakistan and Southeast Asia:
Each city and rectangle placemark contains a direct download link to the map image at the Perry-Castaneda Library. From the post, it sounds like eventually all the maps will be indexed in this fashion, so it’s worth bookmarking the site and checking it regularly for updates.
Other posts in the Google Earth Tools series
- Using UTM Coordinates In Google Earth
- Share Positions In Google Earth
- New Version Of Globe Glider
- Yahoo Pipes Adds Google Earth Support
- Plotting Public Land Survey System Locations In Google Earth
- Panorama, Peak Identification And Viewsheds In Google Earth
- Colored Country/Subdivision Google Earth Polygons With "Color Your Map"
- Useful “Nearby” Utilities For Google Earth
- Simple On-Line Disaster Modeling In Google Maps And Google Earth With CleerImpact
- Dynamically-Sized Scalebar In Google Earth
- FlashEarth In Google Earth
- Horizon Terrain Profiles In Google Sky
- Creating Panoramas Using Google Earth
- Determining Google Earth Path Lengths
- Google Earth’s Hidden Flight Simulator
- Updates To The HeyWhatsThat Planisphere
- Two Google Earth Design Blogs
- Google Earth Index For US Army Map Service Topographic And City Maps
- A Simple Online KML Polygon Creator - With Holes!
- Compass Indicators In Google Earth
- Real-Time Satellite Visualization In Google Earth
- Easy Ways To Get Latitude/Longitude For A Screen Point In Google Earth
- Yet Another Way To Get Position Coordinates In Google Earth
- Update To Google Earth Position Application
- Displaying Datasets In The Google Earth Plugin With Earth Atlas
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