scholarly journals Google Earth, Google SketchUp and GIS software; An Interoperable Work Flow for Generating Elevation Data

Author(s):  
José Gomes dos Santos ◽  
Kevin Bento ◽  
Joaquim Lourenço Txifunga

Data creation is often the only way for researchers to produce basic geospatial information for the pursuit of more complex tasks and procedures such as those that lead to the production of new data for studies concerning river basins, slope morphodynamics, applied geomorphology and geology, urban and territorial planning, detailed studies, for example, in architecture and civil engineering, among others. This exercise results from a reflection where specific data processing tasks executed in Google Sketchup (Pro version, 2018) can be used in a context of interoperability with Geographical Information Systems (GIS) software. The focus is based on the production of contour lines and Digital Elevation Models (DEM) using an innovative sequence of tasks and procedures in both environments (GS and GIS). It starts in Google Sketchup (GS) graphic 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 confgures a costless work flow.

2019 ◽  
Vol 8 (1) ◽  
pp. 2971-2982
Author(s):  
José Gomes Santos ◽  
◽  
Kevin Bento ◽  
Joaquim Lourenço Txifunga ◽  
◽  
...  

2017 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Ircham Habib Anggara ◽  
Florence Elfriede Silalahi ◽  
Barandi Sapta Widartono

<p align="center"><strong><em>ABSTRAK</em></strong></p><p><em>Saat ini banyak operator telekomunikasi yang bermunculan di Indonesia sehingga menyebabkan terjadinya persaingan yang tinggi antar operator telekomunikasi. PT. Telkom selaku badan usaha yang berwenang dalam pembangunan dan pengembangan sektor telekomunikasi khususnya untuk telepon kabel, juga menyadarinya dan berupaya untuk meningkatkan pelayanan kepada pelanggan. Penelitian ini bertujuan membuat suatu basis data spasial dan model sistem informasi jaringan telepon PT. Telkom yang interaktif dengan memanfaatkan citra Quickbird yang bersumber dari Google Earth, Global Positiong System (GPS) dan Sistem Informasi Geografis (SIG) untuk penentuan rute optimal penanganan gangguan jaringan telepon PT. Telkom berdasarkan Algoritma Floyd-Warshall. Penentuan rute optimal didasarkan atas variabel impedensi, berupa jarak tempuh dan waktu tempuh yang diturunkan dari panjang jalan dibagi dengan kecepatan rata-rata kendaraan per ruas jalan. Hasil penelitian ini berupa Sistem Informasi Rute Optimal Telkom Bantul (SIROTOL) yang berbasis dekstop dan dapat berdiri sendiri tanpa adanya software SIG yang lain. Rute optimal program SIROTOL mampu digunakan untuk menentukan rute optimal penanganan gangguan jaringan telepon PT. Telkom Bantul dengan hasil yang akurat atau mendekati kondisi di lapangan. Hal tersebut dibuktikan dengan hasil validasi lapangan yang memiliki nilai uji akurasi rute optimal berdasarkan jarak tempuh sebesar 97.06% dan nilai uji akurasi rute optimal berdasarkan waktu tempuh sebesar 96.14%.</em></p><p><em> </em></p><p align="center"><strong><em>ABSTRACT</em></strong></p><p><em>Nowdays, many providers are emerging in Indonesia so that they lead high competition among telecommunication operators. As a state owned company that has authorities on the development of telecommunications sector, especially for cables telephone, PT. TELKOM also realize that, so they strive for a better service to the customers.This research aims to create a spatial database and interactive telephone network information system model of PT. Telkom by using Quickbird imagery derived from Google Earth, Global Position System (GPS) and Geographical Information Systems (GIS) to determine the optimal route telephone network for error handling based on Floyd-Warshall algorithm. Determination of the optimal route is based on the variable impedance of the travel distance and travel time derived from the length of road divided by the average speed of vehicles per road segment. Subsequent tissue analysis results are integrated with GPS navigation technology to help a network technician search for location of interference and network technicians to assist the movement towards the location of the phone to crash in the field. The result of the research is Telkom Bantul Optimal Route Information System (SIROTOL) desktop based and stand alone application. SIROTOL optimal route program can be applied to determine the optimal route accurately on Telkom Bantul’s error handling or at least close to field conditions. It can be proved by field validation results which resulted in accurate optimal route test value based on travel distance of 97.06% and travel time of 96.14%</em><em>.</em><em></em></p><p><em>Keywords: optimal route, network analysis, Floyd-Warshall algorithm, telephone network</em></p>


2010 ◽  
Vol 4 (1-2) ◽  
pp. 17-37 ◽  
Author(s):  
Charles Travis

Drawing upon previous theoretical and practical work in historical and qualitative applications of Geographical Information Systems (GIS), this paper, in Giles Deleuze and Félix Guattari's terminology, conceptualizes GIS as ‘an abstract machine’ which plays a ‘piloting role’ which does not ‘function to represent’ something real, but rather ‘constructs a real which is yet to come.’ To illustrate this digital humanities mapping methodology, the essay examines Irish writer Patrick Kavanagh's novel The Green Fool (1938) and epic poem The Great Hunger (1946) and their respective contrasting topophilic and topophobic renderings of landscape, identity and sense of place under the lens M.M. Bakhtin's ‘Historical Poetics’ (chronotope) to illuminate GIS's ability to engage in spatio-discursive visualization and analysis. The conceptualizations and practices discussed in this paper reconsider GIS software/hardware/techniques as a means to engage subjects of concern to literary and cultural studies commensurate with the recent strong interest in the geographical and spatial dimensions of these cognate areas.


Author(s):  
Karl Atzmanstorfer ◽  
Thomas Blaschke

This chapter introduces a spatial view to e-participation in urban governance which is based on the technological core of Geographical Information Systems (GIS) and their more recent transformation into service architectures. The chapter begins with the premise that the technological realms are available today in professional software packages and in open source software environments. It focuses on the utilization of GIS and various methodologies in participatory planning projects. The technical descriptions are limited to a degree that the reader can understand the applications envisaged. The chapter describes developments in the GIS domain which are summarized under the term ‘Public Participation GIS’ (PPGIS) since the 1990s. In 2005 however, the launch of Google Earth changed the situation significantly: such mapping platforms—including Microsoft Bing and others—brought mapping functionality to the computers of hundreds of millions of internet users and soon after, the term “volunteered geographic information” was created. It refers to the two-way communication possibilities using geospatial tools and to the participation of citizens in planning initiatives. The chapter highlights a few of such applications in urban planning and administration and discusses the situation in developing and emerging countries, while posing the question of whether or not such options may lead to an empowerment of citizens.


Author(s):  
Katherine Homewood

Increasingly, methods not traditionally used by historians are becoming available for the study of African historical geography, landscapes, and environmental change. Starting with an outline of the main determinants of vegetation formations across African landscapes, the article goes on to look at a selection of macro, micro, and modeling methods. Remote sensing allows analysis of land cover change over the past few decades but also shows enduring features useful in interpreting sources describing these landscapes at times long past. Google Earth–type software makes it possible to take a virtual walk through landscapes with key informants in the present day, exploring how the land was used and has changed. Geographical information systems make it possible to collate different spatially explicit types of information, including qualitative data, for quantitative and statistical analysis. At the other end of the scale, pollen, diatoms, foraminifera, and other micro-particles (spicules, phytoliths, cuticles, micro-charcoal) from lake or oceanic sediment cores, and the chemical and isotopic composition of organic remains, all convey information about the environmental context of a site and its surroundings. Carbon isotope or thermoluminescence dating techniques can pinpoint the changes they indicate across potentially very long time spans. Genetic, protein, and other molecular materials may allow precise lineages and migrations to be traced back across very long periods and distances. Finally, modeling makes it possible to use sparse historical and more robust recent data to predict possible pasts in exploratory but evidence-based ways. The disequilibrium debate in drylands illustrates how environmental narratives, strategically used, silence place-based knowledge in ways that science, seeing itself as apolitical, is not well placed to detect.


Author(s):  
N. S. Partigöç ◽  
Ç. Tarhan

<p><strong>Abstract.</strong> The primary issues related the spatial organization of urban settlements are based on the development of density and land use decisions leading due to the market mechanisms. The current spatial land use pattern of cities have emerged depending various factors such as the migration movements increased rapidly from the 1950s, the rapid and uncontrolled urbanization, the pressures of rent directing the market mechanisms, etc. This urbanization process also has accompanied many problems as the insecure construction for disasters, dense and solid urban texture, various weaknesses or deficiencies of urban infrastructure. As a consequence of the evaluation for social facility areas (gaps in urban area, open and green areas, etc.) as “potential investment areas”, the loss of solid &amp;ndash; void ratio and dense built-environment have been experienced in urban centres and also urban development directions. The main aim of this study is to examine the spatial effects of land use decisions between the years of 2002 &amp;ndash; 2017 under the influence of the Law 6360 in terms of urban planning discipline. These spatial variations related land use pattern are determined using Google Earth and Geographical Information Systems (GIS). According to the results, it is clearly understood that current land use patterns in Guzelbahce district have changed significantly in 15-years period. The results of analyses related the case area which the urban sprawl has seen are discussed and a variety of policies have been developed.</p>


Author(s):  
Mingyang Chen ◽  
Alican Karaer ◽  
Eren Erman Ozguven ◽  
Tarek Abichou ◽  
Reza Arghandeh ◽  
...  

Hurricanes affect thousands of people annually, with devastating consequences such as loss of life, vegetation and infrastructure. Vegetation losses such as downed trees and infrastructure disruptions such as toppled power lines often lead to roadway closures. These disruptions can be life threatening for the victims. Emergency officials, therefore, have been trying to find ways to alleviate such problems by identifying those locations that pose high risk in the aftermath of hurricanes. This paper proposes an integrated methodology that utilizes both Google Earth Engine (GEE) and geographical information systems (GIS). First, GEE is used to access Sentinel-2 satellite images and calculate the Normalized Difference Vegetation Index (NDVI) to investigate the vegetation change as a result of Hurricane Michael in the City of Tallahassee. Second, through the use of ArcGIS, data on wind speed, debris, roadway density and demographics are incorporated into the methodology in addition to the NDVI indices to assess the overall impact of the hurricane. As a result, city-wide hurricane impact maps are created using weighted indices created based on all these data sets. Findings indicate that the northeast side of the city was the worst affected because of the hurricane. This is a region where more seniors live, and such disruptions can lead to dramatic consequences because of the fragility of these seniors. Officials can pinpoint the identified critical locations for future improvements such as roadway geometry modification and landscaping justification.


2019 ◽  
Vol 3 (2) ◽  
pp. 3-11
Author(s):  
Evgeny Avrunev ◽  
Danila Blokhin

The article deals with the technology of joint application of geographical information systems (GIS) MapInfo Professional and CREDO Transform for the purpose of establishing the boundaries of the easement on the land without cadastral works and without its registration in Rosreestr. According to the results of research in the field of GIS and effective regulation of land and property relations, in terms of the establishment of easement is necessary: 1) implement the use of GIS MapInfo Professional and CREDO Transform in the administrations of municipalities and public institutions competent in the provision and registration of land; 2) to Improve the skills of public sector employees, including civil servants, competent in matters of registration and provision of land plots in terms of the use of MapInfo Professional and CREDO Transform; 3) fix at the legislative level and to develop a technique of application of GIS regarding carrying out cadastral works without carrying out geodetic works on the district with the approval in the Ministry of justice of the Russian Federation and the Ministry of economic development of the Russian Federation.


Author(s):  
R. Can ◽  
S. Kocaman ◽  
A. O. Ok

Abstract. The automation of geoinformation (GI) collection and interpretation has been a fundamental goal for many researchers. The developments in various sensors, platforms, and algorithms have been contributing to the achievement of this goal. In addition, the contributions of citizen science (CitSci) and volunteered geographical information (VGI) concepts have become evident and extensive for the geodata collection and interpretation in the era where information has the utmost importance to solve societal and environmental problems. The web- and mobile-based Geographical Information Systems (GIS) have facilitated the broad and frequent use of GI by people from any background, thanks to the accessibility and the simplicity of the platforms. On the other hand, the increased use of GI also yielded a great increment in the demand for GI in different application areas. Thus, new algorithms and platforms allowing human intervention are immensely required for semi-automatic GI extraction to increase the accuracy. By integrating the novel artificial intelligence (AI) methods including deep learning (DL) algorithms on WebGIS interfaces, this task can be achieved. Thus, volunteers with limited knowledge on GIS software can be supported to perform accurate processing and to make guided decisions. In this study, a web-based geospatial AI (GeoAI) platform was developed for map updating by using the image processing results obtained from a DL algorithm to assist volunteers. The platform includes vector drawing and editing capabilities and employs a spatial database management system to store the final maps. The system is flexible and can utilise various DL methods in the image segmentation.


2018 ◽  
Vol 36 (2) ◽  
pp. 938
Author(s):  
N. Voulgaris ◽  
I. Parcharidis ◽  
M. Pahoula ◽  
E. Pirlis

The development of a specialized Geographical Information System aiming at the better understanding of the relation between tectonics, seismicity and geothermal potential of Lesbos Island is discussed in the present paper. The development of this system was based on the processing and analysis of satellite images in order to identify both tectonic and thermal anomalies for further correlation with available vector and raster data. For this purpose a database including topology, geology, tectonics, seismicity and geothermy, was created. This data set derived from digitizing the topographic and geological maps of HAGS and IGME, from the analysis of the satellite image and from bibliography. As a result of the data processing there were indications about new evidence concerning the tectonics and the geothermy of Lesbos Island.


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