Virtual globes for UAV-based data integration: Sputnik GIS and Google Earth™ applications

ABSTRACT The integration of local measurements and monitoring via global-scale Earth observations has become a new challenge in digital Earth science. The increasing accessibility and ease of use of virtual globes (VGs) represent primary advantages of this integration, and the digital Earth scientific community has adopted this technology as one of the main methods for disseminating the results of scientific studies. In this study, the best VG software for the dissemination and analysis of high-resolution UAV (Unmanned Aerial Vehicle) data is identified for global and continuous geographic scope support. The VGs Google Earth and Sputnik Geographic Information System (GIS) are selected and compared for this purpose. Google Earth is a free platform and one of the most widely used VGs, and one of its best features its ability to provide users with quality visual results. The proprietary software Sputnik GIS more closely approximates the analytical capacity of a traditional GIS and provides outstanding advantages, such as DEM overlapping and visualization for its dissemination.

[1]  Hannah Jacobson,et al.  A novel approach to mapping land conversion using Google Earth with an application to East Africa , 2015, Environ. Model. Softw..

[2]  Steven J. Whitmeyer,et al.  Geological and geophysical modeling on virtual globes using KML, COLLADA, and Javascript , 2011, Comput. Geosci..

[3]  Le Yu,et al.  Google Earth as a virtual globe tool for Earth science applications at the global scale: progress and perspectives , 2012 .

[4]  Thomas Nauss,et al.  Automatic classification of Google Earth images for a larger scale monitoring of bush encroachment in South Africa , 2016, Int. J. Appl. Earth Obs. Geoinformation.

[5]  Stephan Nebiker,et al.  OPENWEBGLOBE – AN OPEN SOURCE SDK FOR CREATING LARGE-SCALE VIRTUAL GLOBES ON A WEBGL BASIS , 2012 .

[6]  Benjamin T. Tuttle,et al.  Virtual Globes: An Overview of Their History, Uses, and Future Challenges , 2008 .

[7]  Yuanjie Li,et al.  A global map of rainfed cropland areas (GMRCA) at the end of last millennium using remote sensing , 2009, Int. J. Appl. Earth Obs. Geoinformation.

[8]  Maria Antonia Brovelli,et al.  THE POWER OF VIRTUAL GLOBES FOR VALORISING CULTURAL HERITAGE AND ENABLING SUSTAINABLE TOURISM: NASA WORLD WIND APPLICATIONS , 2013 .

[9]  Tsangaratos Paraskevas.  Virtual Globes and Geological Modeling , 2011 .

[10]  Armin Gruen.  Reality-based generation of virtual environments for digital earth , 2008, Int. J. Digit. Earth.

[11]  S. Wiemann,et al.  Service-based combination of quality assurance and fusion processes for the validation of crowdsourced observations , 2015 .

[12]  Rune Storvold,et al.  High-performance visualisation of UAV sensor and image data with raster maps and topography in 3D , 2014 .

[13]  Ruth E. Duerr,et al.  Representing scientific data sets in KML: Methods and challenges , 2011, Comput. Geosci..

[14]  Aijun Chen,et al.  The role of Virtual Globes in geoscience , 2011, Comput. Geosci..

[15]  Forrest R. Stevens,et al.  Multitemporal settlement and population mapping from Landsat using Google Earth Engine , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[16]  Jacek Malczewski,et al.  Quality Evaluation of Volunteered Geographic Information: The Case of OpenStreetMap , 2017 .

[17]  Thomas Blaschke,et al.  Virtual Globes: Serving Science and Society , 2012, Inf..

[18]  Huadong Guo,et al.  Next-generation Digital Earth , 2012, Proceedings of the National Academy of Sciences.

[19]  A. Lovett,et al.  Customising virtual globe tours to enhance community awareness of local landscape benefits , 2015 .

[20]  Declan Butler,et al.  Virtual globes: The web-wide world , 2006, Nature.

[21]  Bernd Hamann,et al.  Crusta: A new virtual globe for real-time visualization of sub-meter digital topography at planetary scales , 2011, Comput. Geosci..

[22]  HIGH-PERFORMANCE VISUALIZATION OF UAS SENSOR AND IMAGE DATA WITH RASTER MAPS AND TOPOGRAPHY IN 3D , 2013 .

[23]  Petr Cizek,et al.  The ethics of Google Earth: crossing thresholds from spatial data to landscape visualisation. , 2009, Journal of environmental management.

[24]  Krista Jones.  Communicating perceived geospatial data quality of 3D objects in virtual globes , 2011 .

[25]  Dirk Tiede,et al.  Analytical 3D views and virtual globes - scientific results in a familiar spatial context , 2010 .

[26]  Tor-Magne Stien Hagen,et al.  Interactive Visualization on High-Resolution Tiled Display Walls with Network Accessible Compute- and Display-Resources , 2011 .

[27]  Keith Haines,et al.  Sharing and visualizing environmental data using Virtual Globes , 2007 .

[28]  Thomas G. Blenkinsop,et al.  Visualizing structural geology: From Excel to Google Earth , 2012, Comput. Geosci..

[29]  Jianhua Gong,et al.  Graphics processing unit-based dynamic volume rendering for typhoons on a virtual globe , 2015, Int. J. Digit. Earth.

[30]  Alexander Zipf,et al.  Quality Evaluation of VGI Using Authoritative Data - A Comparison with Land Use Data in Southern Germany , 2015, ISPRS Int. J. Geo Inf..

[31]  Penelope Vounatsou,et al.  Virtual globes and geospatial health: the potential of new tools in the management and control of vector-borne diseases. , 2009, Geospatial health.

[32]  K. Sahr,et al.  Geodesic Discrete Global Grid Systems , 2003 .

[33]  Brian M. Tomaszewski.  Situation awareness and virtual globes: Applications for disaster management , 2011, Comput. Geosci..

[34]  JacobsonAndrew,et al.  A novel approach to mapping land conversion using Google Earth with an application to East Africa , 2015 .