Catalogue of representative scales to visualize different coverages in Google Earth

Representative scales were established, based on the zoom level of Google Maps, for generating a catalogue of indicators from the scale-image relationship, into the Google Earth visualization system. It was possible to analyze some functionalities of the visualization system proposed, such as the de...

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Main Authors: Tristan, A.C., Cardenas, O.R., Garza, E.J.T., Alvarado, A.G.R., Putri, R.F., Thio, J.
Format: Conference or Workshop Item PeerReviewed
Published: IOP Publishing Ltd 2021
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Online Access:https://repository.ugm.ac.id/279140/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104174555&doi=10.1088%2f1755-1315%2f686%2f1%2f012038&partnerID=40&md5=4fa3c57c5411d044225a3fc710a68543
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Institution: Universitas Gadjah Mada
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spelling id-ugm-repo.2791402023-11-03T03:53:51Z https://repository.ugm.ac.id/279140/ Catalogue of representative scales to visualize different coverages in Google Earth Tristan, A.C. Cardenas, O.R. Garza, E.J.T. Alvarado, A.G.R. Putri, R.F. Thio, J. Geography and Environmental Sciences Representative scales were established, based on the zoom level of Google Maps, for generating a catalogue of indicators from the scale-image relationship, into the Google Earth visualization system. It was possible to analyze some functionalities of the visualization system proposed, such as the depth of detail from image resolution and the images return. Therefore, samples of four land use were analyzed. Furthermore, to associate the multilevel mechanism of the visualization in Google Earth, a digital ruler was used as a tool that measures the pixels per inch into the screen. In consequence, it is possible to analyze the changing behaviour from one screen to another. With this, it is feasible to associate a specific mechanism to improve the relationship between the handling of several images covering a limiting territory, and the scales that best represents the themes described. Finally, 893 samples were analyzed in 32 points of the territory, between the coordinates 14 to 33 N and 86 to 119 W. Finally, the error percentage, the variance, and the standard deviation were estimated for determining the variation between the values calculated in different samples. © Published under licence by IOP Publishing Ltd. IOP Publishing Ltd 2021 Conference or Workshop Item PeerReviewed Tristan, A.C. and Cardenas, O.R. and Garza, E.J.T. and Alvarado, A.G.R. and Putri, R.F. and Thio, J. (2021) Catalogue of representative scales to visualize different coverages in Google Earth. In: IOP Conference Series: Earth and Environmental Science. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104174555&doi=10.1088%2f1755-1315%2f686%2f1%2f012038&partnerID=40&md5=4fa3c57c5411d044225a3fc710a68543
institution Universitas Gadjah Mada
building UGM Library
continent Asia
country Indonesia
Indonesia
content_provider UGM Library
collection Repository Civitas UGM
topic Geography and Environmental Sciences
spellingShingle Geography and Environmental Sciences
Tristan, A.C.
Cardenas, O.R.
Garza, E.J.T.
Alvarado, A.G.R.
Putri, R.F.
Thio, J.
Catalogue of representative scales to visualize different coverages in Google Earth
description Representative scales were established, based on the zoom level of Google Maps, for generating a catalogue of indicators from the scale-image relationship, into the Google Earth visualization system. It was possible to analyze some functionalities of the visualization system proposed, such as the depth of detail from image resolution and the images return. Therefore, samples of four land use were analyzed. Furthermore, to associate the multilevel mechanism of the visualization in Google Earth, a digital ruler was used as a tool that measures the pixels per inch into the screen. In consequence, it is possible to analyze the changing behaviour from one screen to another. With this, it is feasible to associate a specific mechanism to improve the relationship between the handling of several images covering a limiting territory, and the scales that best represents the themes described. Finally, 893 samples were analyzed in 32 points of the territory, between the coordinates 14 to 33 N and 86 to 119 W. Finally, the error percentage, the variance, and the standard deviation were estimated for determining the variation between the values calculated in different samples. © Published under licence by IOP Publishing Ltd.
format Conference or Workshop Item
PeerReviewed
author Tristan, A.C.
Cardenas, O.R.
Garza, E.J.T.
Alvarado, A.G.R.
Putri, R.F.
Thio, J.
author_facet Tristan, A.C.
Cardenas, O.R.
Garza, E.J.T.
Alvarado, A.G.R.
Putri, R.F.
Thio, J.
author_sort Tristan, A.C.
title Catalogue of representative scales to visualize different coverages in Google Earth
title_short Catalogue of representative scales to visualize different coverages in Google Earth
title_full Catalogue of representative scales to visualize different coverages in Google Earth
title_fullStr Catalogue of representative scales to visualize different coverages in Google Earth
title_full_unstemmed Catalogue of representative scales to visualize different coverages in Google Earth
title_sort catalogue of representative scales to visualize different coverages in google earth
publisher IOP Publishing Ltd
publishDate 2021
url https://repository.ugm.ac.id/279140/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104174555&doi=10.1088%2f1755-1315%2f686%2f1%2f012038&partnerID=40&md5=4fa3c57c5411d044225a3fc710a68543
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