PLoS ONE 12(4):Įditor: Xiaolei Ma, Beihang University, CHINA Overall, it is found that the high accuracy elevation data available from GE provide a reliable data source for various transportation applications.Ĭitation: Wang Y, Zou Y, Henrickson K, Wang Y, Tang J, Park B-J (2017) Google Earth elevation data extraction and accuracy assessment for transportation applications. The methodology validation results indicate that the proposed extraction method can locate the extracting route accurately, recognize multi-layered roadway section, and segment the extracted route by grade automatically.
Finally, the proposed extraction method was implemented and validated for the following three scenarios: (1) extracting roadway elevation differentiating by directions, (2) multi-layered roadway recognition in freeway segment and (3) slope segmentation and grade calculation in freeway segment. Mean absolute error (MAE) and root mean squared error (RMSE) are used to assess the accuracy and the test results show MAE, RMSE and standard deviation of GE roadway elevation error are 1.32 meters, 2.27 meters and 2.27 meters, respectively. Geological Survey National Elevation Dataset (USGS NED), which is a widely used data source for extracting roadway elevation. This study also compares the GE elevation data with the elevation raster data from the U.S.
The GE elevation data was compared with the ground truth data from nationwide GPS benchmarks and roadway monuments from six states in the conterminous USA. A comprehensive accuracy assessment of the GE-extracted elevation data is conducted for the area of conterminous USA. This paper intends to address this need by proposing a method to extract roadway elevation data from Google Earth (GE) for transportation applications. However, it has been challenging to obtain such data and most roadway GIS databases do not have them. When I try to plot it, I just see a random array of colored panels.Roadway elevation data is critical for a variety of transportation analyses.
#Download for free new google earth 2017 how to#
All the documentation I can find online says that satellite data usually comes in single color band raster layers that you can stack to get the composite image, but this shapefile I downloaded has a really confusing structure and I can’t figure out how to read it as a normal image (I’m using the raster and sf packages in R). (I was looking at an area including the US Northeast and tried both the L8 OLI/TIRS and L7 ETM+ layers from the Collection 1 Level 1 Landsat data.) I chose the shapefile as it seemed to be the best option–I’m just trying to get a basemap image.
#Download for free new google earth 2017 download#
I followed these instructions (they’re very clear and helpful–thank you!) but when I reach the end and “click here to download results”, there is no geoTIFF option, just csv, shapefile, kmz, and some other random formats.
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