scholarly journals Harnessing the power of volunteers, the internet and Google Earth to collect and validate global spatial information using Geo-Wiki

2015 ◽  
Vol 98 ◽  
pp. 324-335 ◽  
Author(s):  
Linda See ◽  
Steffen Fritz ◽  
Christoph Perger ◽  
Christian Schill ◽  
Ian McCallum ◽  
...  
Keyword(s):  
Spatial Information ◽  
Google Earth ◽  
The Internet

scholarly journals From Virtual Field Trip to Geologically-Reasoned Decisions in Yosemite Valley

2021 ◽  
Author(s):  
Nicolas C. Barth ◽  
Greg M. Stock ◽  
Kinnari Atit
Keyword(s):  
Spatial Information ◽  
Opportunity To Learn ◽  
Field Trip ◽  
Google Earth ◽  
Learning Goals ◽  
Spatial Skills ◽  
Yosemite Valley ◽  
Wide Range ◽  
Virtual Field ◽  
Virtual Field Trip

Abstract. This study highlights a Geology of Yosemite Valley virtual field trip (VFT) and companion exercises produced as a four-part module to substitute for physical field experiences. The VFT is created as an Earth project in Google Earth Web, a versatile format that allows access through a web browser or Google Earth app with the sharing of an internet address. Many dynamic resources can be used for VFT stops through use of the Google Earth Engine (global satellite imagery draped on topography, 360° street-level imagery, user-submitted 360° photospheres). Images, figures, videos, and narration can be embedded into VFT stops. Hyperlinks allow for a wide range of external resources to be incorporated; optional background resources help reduce the knowledge gap between general public and upper-division students, ensuring VFTs can be broadly accessible. Like many in-person field trips, there is a script with learning goals for each stop, but also an opportunity to learn through exploration as the viewer can dynamically change their vantage at each stop (i.e. guided discovery learning). This interactive VFT format scaffolds students’ spatial skills and encourages attention to be focused on a stop’s critical spatial information. The progression from VFT to mapping exercise to geologically-reasoned decision-making results in high quality student work; students find it engaging, enjoyable, and educational.

TITAN to Google Earth: Workflow for Data Processing for Mobile Terrestrial LIDAR

2017 ◽  
Author(s):  
Michael Martin
Keyword(s):  
Data Processing ◽  
Spatial Information ◽  
New Technology ◽  
Google Earth ◽  
Lidar Data ◽  
Terrestrial Lidar ◽  
Urban Modelling ◽  
Feature Based ◽  
Point Data ◽  
Object Models

Terrestrial LIDAR scanners are pushing the boundaries of accurate urban modelling. Automation and the usability of tools used in feature abstraction and, to a lesser degree, presentation have become the chief concerns with this new technology. To broaden the use and impact of LIDAR in the geomatics, LiDAR datasets must be converted to feature-based representations without loss of precision. One approach, taken here, is to simultaneously examine the overall path that data takes through an organization and the operatordriven tasks carried out on the data as it is transformed from a raw point cloud to final product. We present a review of the current practices in LiDAR data processing and a foundation for future efforts to optimize. We examine alternative LIDAR processing workflows with two key questions in mind: computational efficiency - whether the process can be done using the tools at all - and tool complexity - what operator skill level is needed at each step. Using these workflows the usability of the specific software tools and the required knowledge to effectively carry out the procedures using the tools are examined. Preliminary results have yielded workflows that successfully translate LIDAR to 3D object models, highly decimated point representations of street data represented in Google Earth, and large volume point data flythroughs in ESRI ArcScene. We are documenting the pragmatic limits on each of these workflows and tools for endusers. Terrestrial LIDAR brings with it new innovations for spatial visualizations, but also questions of viability. The technology has proved valuable for specialized applications for experts, but can it be useful as a tool for proliferating 3d spatial information by and to non-experts. This study illustrates the issues associated with preparing 3d LIDAR data for presentation in mainstream visualization environments.

scholarly journals On-line Agricultural Products Navigation System on the Google Earth  

2017 ◽  
Vol 63 (No. 9) ◽  
pp. 400-410
Author(s):  
Ling-hsing Chang Christina ◽  
 Hsiao Weng-yi-lang
Keyword(s):  
Navigation System ◽  
Qualitative Methodology ◽  
Google Earth ◽  
Agricultural Products ◽  
The Internet ◽  
Is Success ◽  
Agricultural Industry ◽  
Delone And Mclean ◽  
Success Model ◽  
On Line

In the agricultural industry, many brokers exploit the benefits between farmers and customers and decrease the farmers’ income. As the technology has developed, the internet has become the best advertising medium for many industries. In light of this, this study based on the Google Earth has designed an on-line Agricultural Products Navigation System operated by mobile devices which can easily exclude brokers, and build the bridge between farmers and customers in order to increase the farmers income and customer benefits. Moreover, based on the IS success model of DeLone and McLean, by using the qualitative methodology, it is expected that this model will be able to provide system developers with the knowledge to improve the success of their systems.  

scholarly journals A Distributed Automatic Video Annotation Platform

2020 ◽  
Vol 10 (15) ◽  
pp. 5319
Author(s):  
Md Anwarul Islam ◽  
Md Azher Uddin ◽  
Young-Koo Lee
Keyword(s):  
Spatial Information ◽  
Ground Truth ◽  
Video Data ◽  
Temporal Information ◽  
Video Annotation ◽  
The Internet ◽  
Essential Information ◽  
Digital Devices ◽  
Feature Descriptors ◽  
Increasing Demand

In the era of digital devices and the Internet, thousands of videos are taken and share through the Internet. Similarly, CCTV cameras in the digital city produce a large amount of video data that carry essential information. To handle the increased video data and generate knowledge, there is an increasing demand for distributed video annotation. Therefore, in this paper, we propose a novel distributed video annotation platform that explores the spatial information and temporal information. Afterward, we provide higher-level semantic information. The proposed framework is divided into two parts: spatial annotation and spatiotemporal annotation. Therefore, we propose a spatiotemporal descriptor, namely, volume local directional ternary pattern-three orthogonal planes (VLDTP–TOP) in a distributed manner using Spark. Moreover, we developed several state-of-the-art appearance-based and spatiotemporal-based feature descriptors on top of Spark. We also provide the distributed video annotation services for the end-users so that they can easily use the video annotation and APIs for development to produce new video annotation algorithms. Due to the lack of a spatiotemporal video annotation dataset that provides ground truth for both spatial and temporal information, we introduce a video annotation dataset, namely, STAD which provides ground truth for spatial and temporal information. An extensive experimental analysis was performed in order to validate the performance and scalability of the proposed feature descriptors, which proved the excellence of our proposed approach.

scholarly journals Creating 3D Model of the Existing Historical Topographic Object Based on Low-Level Aerial Imagery

2020 ◽  
Author(s):  
Maciej Smaczyński ◽  
Tymoteusz Horbiński
Keyword(s):  
3D Model ◽  
Spatial Information ◽  
Computer Software ◽  
Aerial Imagery ◽  
The Internet ◽  
Data Types ◽  
Low Level ◽  
Aerial Photogrammetry ◽  
Object Based ◽  
Internet Environment

Abstract The aim of the research was to create 3D cartographic visualization based on various sources and data types of an existing historical topographic object. The authors will present the stages of the research for the historical windmill located in Poland. The most recent surveying methods, such as GNSS method, low-level aerial photogrammetry and advanced IT tools, including computer software, will be applied for this purpose. The sequence of research procedures adopted by the authors of this article allowed for the creation of a 3D model of the tested windmill and its implementation into the Internet environment. This allowed to increase the cartographic range of spatial information. In addition, the research results allow for the extension of research in the field of history and can be the basis for their implementation.

Interrelationships between Web-GIS and E-Collaboration Research

2011 ◽  
pp. 405-410
Author(s):  
Michele Masucci
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
System Design ◽  
User Interfaces ◽  
Spatial Information ◽  
Geographic Information ◽  
Web Gis ◽  
Computer Hardware ◽  
The Internet ◽  
Gis Applications

Geographic information systems (GIS) refers to the computer hardware and software that supports the management and analysis of spatial information. There has been a recent increase in the development of Internet accessible GIS applications, called Web- GIS (Al-Kodmany, 2001; Carver, Evans, Kingston, & Turton, 2000). Web-GIS facilitates participation among stakeholders through disseminating user interfaces for storing, accessing, and analyzing spatial information using the Internet (Al-Kodmany, 2001; Carver et al., 2000; Dragicevic & Balram, 2004). Participatory and community GIS approaches focus on system design that supports collaboration among organizations serving and representing interests of many constituent groups, including nontechnical users (Carver, 2003; Craig, Harris, & Weiner, 2002; Drew, 2003; Elwood & Ghose, 2004; Elwood & Leitner, 2003; Ghose, 2005; Ghose& Elwood, 2003; Kyem, 2004; Seiber, 2003).

Image Retrieval Based on Color Histogram of Saliency Map

2014 ◽  
Vol 989-994 ◽  
pp. 3552-3555 ◽  
Author(s):  
Jun Feng Wu ◽  
Xian Qiang Lv ◽  
Wen Lian Yang ◽  
Ye Tao ◽  
Jing Zhang ◽  
...  
Keyword(s):  
Image Retrieval ◽  
Spatial Information ◽  
Color Image ◽  
Intensity Variation ◽  
Saliency Map ◽  
Color Histogram ◽  
The Internet ◽  
Color Histograms ◽  
Image Retrieval System ◽  
Robust Image

With the development of the internet, more and more images appear in the internet. How to effectively retrieve the desired image is still an important problem. In the past, traditional color histogram is used image retrieval system, but color histograms lack spatial information and are sensitive to intensity variation, color distortion and cropping. As a result, images with similar histograms may have totally different semantics. So the spatial information should be included in color histogram. The color histogram based on saliency map approach is introduced to overcome the above limitations. In this paper, we present a robust image retrieval based on color histogram of saliency map. Firstly, in order to extract useful spatial information of each pixel, the steady saliency map of the images is extracted. Then, color histogram based on saliency map is introduced, and the similarity between color images is computed by using the color histogram of saliency map. Experimental results show that the proposed color image retrieval is more accurate and efficient in retrieving the user-interested images.

scholarly journals AS GEOTECNOLOGIAS E O ENSINO DE CARTOGRAFIA NAS ESCOLAS: potencialidades e restrições

2017 ◽  
Vol 7 (13) ◽  
pp. 158-172
Author(s):  
Ivanilton José De Oliveira ◽  
Diego Tarley Ferreira Nascimento
Keyword(s):  
Remote Sensing ◽  
Elementary Schools ◽  
Mobile Phones ◽  
Google Earth ◽  
The Internet ◽  
Current Generation ◽  
Geography Teaching ◽  
Digital Mapping ◽  
De Se ◽  
Teaching Learning

No escopo daquilo que chamamos de geotecnologias há inúmeros formatos distintos de softwares e aplicativos, que envolvem desde a cartografia digital, a webcartografia, até o geoprocessamento e o trabalho com imagens digitais de sensoriamento remoto. Contudo, nem todas essas ferramentas estão ao alcance das escolas de ensino básico ou foram pensadas para o ensino de conteúdos de cartografia nesse nível. A despeito disso, hoje há inúmeras possibilidades de se utilizar as geotecnologias no ensino-aprendizagem de cartografia e, de forma mais abrangente, da própria geografia escolar. Mas é preciso separar o "joio do trigo" nesse universo de softwares e aplicativos, a fim de desvendar as possibilidades e restrições que eles apresentam. Também é preciso considerar a realidade escolar, a formação e capacitação dos professores, além do nível de acessibilidade dos estudantes a essas tecnologias. Os smartphones, a geração atual de aparelhos celulares com acesso à internet, são instrumentos especialmente oportunos para se superar algumas dessas barreiras. Essas limitações e perspectivas de trabalho são discutidas no presente artigo, tendo como principal exemplo o Google Earth. PALAVRAS-CHAVE Geotecnologias. Ensino. Cartografia. THE GEOTECHNOLOGIES AND THE CARTOGRAPHY EDUCATION IN SCHOOLS: potentialities and constraintsABSTRACTGeotechnology has many different software and application formats, ranging from digital mapping, webcartography, to geoprocessing and remote sensing. However, not all of these tools are within the reach of elementary schools or were designed for the teaching of cartography and geography content. In spite of this, today there are many possibilities of using geotechnologies in the teaching-learning of cartography and, more comprehensively, of the geography itself. But we must separate wheat from the chaff in this universe of software and applications in order to unravel the possibilities and constraints they present. It is also necessary to consider the school reality, the training and qualification of teachers, and the level of accessibility of students to these technologies. Smartphones, the current generation of mobile phones handsets with access to the Internet, are particularly timely tools to overcome some of these barriers. These limitations and perspectives of work are discussed in this article, having as main example Google Earth. KEYWORDS Geotechnology. Geography teaching. Cartography. ISSN: 2236-3904REVISTA BRASILEIRA DE EDUCAÇÃO EM GEOGRAFIA - RBEGwww.revistaedugeo.com.br - [email protected]

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