Google Earth, Google SketchUp and GIS Software; An Interoperable Workflow for Generating Elevation Data
José Gomes Santos, Kevin Bento, Joaquim Lourenço Txifunga, (doi: 10.23953/cloud.ijarsg.408)
Abstract
Data creation is often the only way for researchers to produce basic geospatial information for studies concerning river basins, slope morphodynamics, applied geomorphology and geology, urban and territorial planning, among others. This exercise results from an idea initially presented to students in a class context at the Geoinformatics Lab (Geography Department - University of Coimbra, Portugal). The main hypothesis (and goal) of this methodological essay was centered on the idea that it could be possible to develop an interoperable workflow where specific data processing tasks executed in Google SketchUp could produce elevation data that could be exported and geoprocessed with open source Geographical Information Systems (GFOSS) software. It starts with Google SketchUp (GS) graphical interface, with the selection of a satellite image referring to the study area – which can be anywhere on Earth's surface; subsequent processing steps lead to the production of elevation data at the selected scale and equidistance. This new data must be exported to GIS software in vector formats such as Autodesk Design Web format – DWG or Autodesk Drawing Exchange format – DXF. In this essay the option for the use of GIS Open Source Software (gvSIG and QGIS) was made. Correcting the original SHP by removing "data noise" that resulted from DXF file conversion permits the author to create new clean vector data in SHP format and, at a later stage, generate DEM data. This means that new elevation data becomes available, using simple but intuitive and interoperable procedures and techniques which configures a costless workflow.
Keywords
Contour lines; DEM; GFOSS; GIS; Google Earth; Google Sketchup; Interoperability
Full Text:
PDF
Refbacks
- There are currently no refbacks.

This work is licensed under a Creative Commons Attribution 3.0 License.
*2016 Journal Impact Factor was established by dividing the number of articles published in 2014 and 2015 with the number of times they are cited in 2016 based on Google Scholar, Google Search and the Microsoft Academic Search. If ‘A’ is the total number of articles published in 2014 and 2015, and ‘B’ is the number of times these articles were cited in indexed publications during 2016 then, journal impact factor = A/B. To know More: (http://en.wikipedia.org/wiki/Impact_factor)