Representing scientific data sets in KML: Methods and challenges

Ballagh, L. M.; Raup, B. H.; Duerr, Ruth; Khalsa, S. S.; Helm, Christopher; Fowler, Doug; Gupte, Amruta

doi:10.1016/j.cageo.2010.05.004

Cited by 60 publications

(25 citation statements)

References 8 publications

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“…The use of KML and virtual globes (Ballagh et al 2011;De Paor and Whitmeyer 2011) has become one of the most promising developments in the dissemination of geological data in the last decade. These developments, in conjunction with the establishment of metadata standards, the North American Profile of ISO 19115 (Federal Geographic Data Committee 2009; Government of Canada 2012b), will lead the way to a flood of discoverable geological source information on the Internet.…”

Section: Discussionmentioning

confidence: 99%

“…In-house custom applications have been built that scan these transcribed file systems and generate KML (Ballagh et al 2011;De Paor and Whitmeyer 2011) files that can be used as discovery interfaces to these data holdings. The KML files are thin-layered in the sense that the data are largely not contained within the KML file itself, other than the location of placemarks or line segments; the entire KML content is derived from and points to the contents of the ftp/http repository.…”

Section: Implementation -A Snapshot Approachmentioning

confidence: 99%

“…These data can be directly downloaded using standard ftp/http protocols. Coverage and content may be perused using a KML (Ballagh et al 2011) discovery wrapper, i.e. a virtual globe (Bailey and Chen 2011;De Paor and Whitmeyer 2011) interface that displays and points to content in the ftp/http servers (Berners-Lee et al 1994;Housley and Hoffman 1999).…”

Section: Introductionmentioning

confidence: 99%

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Canada GEESE 2: Visualization of Integrated Marine Geoscience Data for Canadian and Proximal Waters

Courtney

2013

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The Geological Survey of Canada has made most of its holdings of marine geoscience data available online with unrestricted access. These holdings constitute the premier collections of geological and geophysical source data for Canadian and proximal waters. Multibeam bathymetric imagery, analog high resolution seismic and sidescan sonar data, seabed photographs, grain size analyses, and radiocarbon dates can be directly downloaded from NRCan’s Geogratis (http://geogratis.cgdi.gc.ca) servers. KML files allow the user to discover and explore these collections, highlighting the building blocks of marine data downloadable from ftp/http servers.SOMMAIRELa Commission géologique du Canada a mis en ligne la plupart de ses fonds de données géoscientifiques marines et y donne accès sans restriction. Ces fonds constituent des collections de premier choix de données géologiques et géophysiques de base des eaux canadiennes ou proximales. On peut ainsi télécharger des serveurs Géogratis de RNCan (http://geogratis.cgdi.gc.ca) des données d’imagerie bathymétrique par secteurs, des données analogiques séismiques haute résolution et de levé de sonar à balayage latéral, des photographies du fond marin, des analyses granulométriques, et des datations au radiocarbone. Le format KML des fichiers permet aux utilisateurs d’exploiter facilement le contenu de ces collections, en mettant en relief les données marines de base téléchargeables depuis les serveurs FTP/HTTP.

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Section: Discussionmentioning

confidence: 99%

Section: Implementation -A Snapshot Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Canada GEESE 2: Visualization of Integrated Marine Geoscience Data for Canadian and Proximal Waters

Courtney

2013

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“…This type of geographic information platform and service has significantly increased the awareness, publicity, and usability of geo-spatial data and their applications. By providing internet-based web-embedded or standalone systems for representing and visualizing geo-spatial and other data in specific mark-up languages (Ballagh et al, 2011), these systems also enables developers to implement elaborative and fancy interfaces for their sophisticated applications (Sheppard and Cizek, 2009;Wu et al, 2011). As discussed in a previous study (Goodchild, 2008), the use of digital contents of geospatial information is diversified and can be interpreted in very different spatial concepts.…”

Section: Introductionmentioning

confidence: 99%

Contest of Web-Based Geospatial Applications for Students and Young Scientists

Tsai¹,

Cho²

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The Asian Association on Remote Sensing (AARS) organizes a web contest (WEBCON) of photogrammetry, remote sensing and spatial information sciences in the annual meeting of Asian Conference on Remote Sensing (ACRS) every year. The purpose of WEBCON is to promote the development of web and other forms of internet services of the internet related to geo-information sciences and to attract more students and young scientists participating in the related fields of study and applications. Since 2011, WEBCON has become one of the major events in ACRS and successfully increased the interest in the research, development and applications of photogrammetry, remote sensing and spatial information sciences among students and young scientist. The success of WEBCON is an excellent example of promoting the profession of spatial information to young people.

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“…The development of these virtual globes allowed researchers and general public to visualize geospatial data, to understand multi-scale geography, to process data and to publish information [4,5,6]. The visualization of long term remote sensing data sets for scientific purposes has great potential for better understanding the complex space-time dynamics of terrestrial ecosystems.…”

Section: Introductionmentioning

confidence: 99%

Virtual laboratory of remote sensing time series: visualization of MODIS EVI2 data set over South America

Freitas¹

2011

JCIS

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Over the last ten years millions of gigabytes of MODIS (Moderate Resolution Imaging Spectroradiometer) data have been generated which is forcing the remote sensing users community to a new paradigm in data processing for image analysis and visualization of these time series. In this context this paper aims to present the development of a tool to integrate the 10 years time series of MODIS images into a virtual globe to support LULC change studies. Initially the development of a tool for instantaneous visualization of remote sensing time series within the concept of a virtual laboratory framework is described. The virtual laboratory is composed by a data set with more than 500 million EVI2 (Enhanced Vegetation Index 2) time series derived from MODIS 16-day composite data. The EVI2 time series were filtered with sensor ancillary data and Daubechies (Db8) orthogonal Discrete Wavelets Transform. Then EVI2 time series were integrated into the virtual globe using Google Maps and Google Visualization Application Programming Interface functionalities. The Land Use Land Cover changes for forestry and agricultural applications are presented using the proposed time series visualization tool. The tool demonstrated to be useful for rapid LULC change analysis, at the pixel level, over large regions. Next steps are to further develop the Virtual Laboratory of Remote Sensing Time Series Framework by extending this work for other geographical regions, incorporating new computational algorithms, testing data from other sensors and updating the MODIS time series.

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Representing scientific data sets in KML: Methods and challenges

Cited by 60 publications

References 8 publications

Canada GEESE 2: Visualization of Integrated Marine Geoscience Data for Canadian and Proximal Waters

Canada GEESE 2: Visualization of Integrated Marine Geoscience Data for Canadian and Proximal Waters

Contest of Web-Based Geospatial Applications for Students and Young Scientists

Virtual laboratory of remote sensing time series: visualization of MODIS EVI2 data set over South America

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