Open Polar Server (OPS)—An Open Source Infrastructure for the Cryosphere Community
The Center for Remote Sensing of Ice Sheets (CReSIS) at the University of Kansas has collected approximately 1000 terabytes (TB) of radar depth sounding data over the Arctic and Antarctic ice sheets since 1993 in an effort to map the thickness of the ice sheets and ultimately understand the impacts...
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Online Access: | https://doi.org/10.3390/ijgi5030032 https://doaj.org/article/3aa235d08090461494840ca9e161b63c |
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fttriple:oai:gotriple.eu:oai:doaj.org/article:3aa235d08090461494840ca9e161b63c 2023-05-15T13:47:17+02:00 Open Polar Server (OPS)—An Open Source Infrastructure for the Cryosphere Community Weibo Liu Kyle Purdon Trey Stafford John Paden Xingong Li 2016-03-01 https://doi.org/10.3390/ijgi5030032 https://doaj.org/article/3aa235d08090461494840ca9e161b63c en eng MDPI AG 2220-9964 doi:10.3390/ijgi5030032 https://doaj.org/article/3aa235d08090461494840ca9e161b63c undefined ISPRS International Journal of Geo-Information, Vol 5, Iss 3, p 32 (2016) CReSIS data management spatial data infrastructure geoportal interpolation geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2016 fttriple https://doi.org/10.3390/ijgi5030032 2023-01-22T19:28:48Z The Center for Remote Sensing of Ice Sheets (CReSIS) at the University of Kansas has collected approximately 1000 terabytes (TB) of radar depth sounding data over the Arctic and Antarctic ice sheets since 1993 in an effort to map the thickness of the ice sheets and ultimately understand the impacts of climate change and sea level rise. In addition to data collection, the storage, management, and public distribution of the dataset are also primary roles of the CReSIS. The Open Polar Server (OPS) project developed a free and open source infrastructure to store, manage, analyze, and distribute the data collected by CReSIS in an effort to replace its current data storage and distribution approach. The OPS infrastructure includes a spatial database management system (DBMS), map and web server, JavaScript geoportal, and MATLAB application programming interface (API) for the inclusion of data created by the cryosphere community. Open source software including GeoServer, PostgreSQL, PostGIS, OpenLayers, ExtJS, GeoEXT and others are used to build a system that modernizes the CReSIS data distribution for the entire cryosphere community and creates a flexible platform for future development. Usability analysis demonstrates the OPS infrastructure provides an improved end user experience. In addition, interpolating glacier topography is provided as an application example of the system. Article in Journal/Newspaper Antarc* Antarctic Arctic Center for Remote Sensing of Ice Sheets (CReSIS) Climate change Unknown Antarctic Arctic ISPRS International Journal of Geo-Information 5 3 32 |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
English |
topic |
CReSIS data management spatial data infrastructure geoportal interpolation geo envir |
spellingShingle |
CReSIS data management spatial data infrastructure geoportal interpolation geo envir Weibo Liu Kyle Purdon Trey Stafford John Paden Xingong Li Open Polar Server (OPS)—An Open Source Infrastructure for the Cryosphere Community |
topic_facet |
CReSIS data management spatial data infrastructure geoportal interpolation geo envir |
description |
The Center for Remote Sensing of Ice Sheets (CReSIS) at the University of Kansas has collected approximately 1000 terabytes (TB) of radar depth sounding data over the Arctic and Antarctic ice sheets since 1993 in an effort to map the thickness of the ice sheets and ultimately understand the impacts of climate change and sea level rise. In addition to data collection, the storage, management, and public distribution of the dataset are also primary roles of the CReSIS. The Open Polar Server (OPS) project developed a free and open source infrastructure to store, manage, analyze, and distribute the data collected by CReSIS in an effort to replace its current data storage and distribution approach. The OPS infrastructure includes a spatial database management system (DBMS), map and web server, JavaScript geoportal, and MATLAB application programming interface (API) for the inclusion of data created by the cryosphere community. Open source software including GeoServer, PostgreSQL, PostGIS, OpenLayers, ExtJS, GeoEXT and others are used to build a system that modernizes the CReSIS data distribution for the entire cryosphere community and creates a flexible platform for future development. Usability analysis demonstrates the OPS infrastructure provides an improved end user experience. In addition, interpolating glacier topography is provided as an application example of the system. |
format |
Article in Journal/Newspaper |
author |
Weibo Liu Kyle Purdon Trey Stafford John Paden Xingong Li |
author_facet |
Weibo Liu Kyle Purdon Trey Stafford John Paden Xingong Li |
author_sort |
Weibo Liu |
title |
Open Polar Server (OPS)—An Open Source Infrastructure for the Cryosphere Community |
title_short |
Open Polar Server (OPS)—An Open Source Infrastructure for the Cryosphere Community |
title_full |
Open Polar Server (OPS)—An Open Source Infrastructure for the Cryosphere Community |
title_fullStr |
Open Polar Server (OPS)—An Open Source Infrastructure for the Cryosphere Community |
title_full_unstemmed |
Open Polar Server (OPS)—An Open Source Infrastructure for the Cryosphere Community |
title_sort |
open polar server (ops)—an open source infrastructure for the cryosphere community |
publisher |
MDPI AG |
publishDate |
2016 |
url |
https://doi.org/10.3390/ijgi5030032 https://doaj.org/article/3aa235d08090461494840ca9e161b63c |
geographic |
Antarctic Arctic |
geographic_facet |
Antarctic Arctic |
genre |
Antarc* Antarctic Arctic Center for Remote Sensing of Ice Sheets (CReSIS) Climate change |
genre_facet |
Antarc* Antarctic Arctic Center for Remote Sensing of Ice Sheets (CReSIS) Climate change |
op_source |
ISPRS International Journal of Geo-Information, Vol 5, Iss 3, p 32 (2016) |
op_relation |
2220-9964 doi:10.3390/ijgi5030032 https://doaj.org/article/3aa235d08090461494840ca9e161b63c |
op_rights |
undefined |
op_doi |
https://doi.org/10.3390/ijgi5030032 |
container_title |
ISPRS International Journal of Geo-Information |
container_volume |
5 |
container_issue |
3 |
container_start_page |
32 |
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1766246857248342016 |