Design and implementation of netCDF markup language (NcML) and its GML-based extension (NcML-GML)

Nativi, Stefano; Caron, J.; Davis, Ethan; Domenico, B.

doi:10.1016/j.cageo.2004.12.006

Cited by 31 publications

(23 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, FieldGML is GML based implementation for the representation of geofields in 2D and 3D (Ledoux, 2008). Another GML based implementation is NcML-GML which provides for storing the metadata of netCDF files in GML (Nativi et al, 2005). Others include CSML (Woolf et al, 2006), GeoSciML (Sen and Duffy, 2005), etc.…”

Section: Terrains@citygmlmentioning

confidence: 99%

A Citygml Extension for Handling Very Large Tins

Kumar

Ledoux

Stoter

2016

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

ABSTRACT:In addition to buildings, the terrain forms an important part of a 3D city model. Although in GIS terrains are usually represented with 2D grids, TINs are also increasingly being used in practice. One example is 3DTOP10NL, the 3D city model covering the whole of the Netherlands, which stores the relief with a constrained TIN containing more than 1 billion triangles. Due to the massive size of such datasets, the main problem that arises is: how to efficiently store and maintain them? While CityGML supports the storage of TINs, we argue in this paper that the current solution is not adequate. For instance, the 1 billion+ triangles of 3DTOP10NL require 686 GB of storage space with CityGML. Furthermore, the current solution does not store the topological relationships of the triangles, and also there are no clear mechanisms to handle several LODs. We propose in this paper a CityGML extension for the compact representation of terrains. We describe our abstract and implementation specifications (modelled in UML), and our prototype implementation to convert TINs to our CityGML structure. It increases the topological relationships that are explicitly represented, and allows us to compress up to a factor of ∼25 in our experiments with massive real-world terrains (more than 1 billion triangles).

show abstract

Section: Terrains@citygmlmentioning

confidence: 99%

A Citygml Extension for Handling Very Large Tins

Kumar

Ledoux

Stoter

2016

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…One major benefit of using TDS is that the Dataset Inventory Catalogs, which can be generated dynamically or statically, are used to provide virtual datasets of available data and their associated metadata. In this study, we applied NcML (Nativi et al, 2005) to aggregate MTSAT datasets based on the 'time' dimension into a virtual dataset. The virtual dataset is extraordinarily useful when user needs to retrieve time-series data.…”

Section: Earth Observation (Eo) Data Processing Componentmentioning

confidence: 99%

An automated and integrated framework for dust storm detection based on ogc web processing services

Xiao

Shea

Wong

et al. 2014

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

View full text Add to dashboard Cite

ABSTRACT:Dust storms are known to have adverse effects on public health. Atmospheric dust loading is also one of the major uncertainties in global climatic modelling as it is known to have a significant impact on the radiation budget and atmospheric stability. The complexity of building scientific dust storm models is coupled with the scientific computation advancement, ongoing computing platform development, and the development of heterogeneous Earth Observation (EO) networks. It is a challenging task to develop an integrated and automated scheme for dust storm detection that combines Geo-Processing frameworks, scientific models and EO data together to enable the dust storm detection and tracking processes in a dynamic and timely manner. This study develops an automated and integrated framework for dust storm detection and tracking based on the Web Processing Services (WPS) initiated by Open Geospatial Consortium (OGC). The presented WPS framework consists of EO data retrieval components, dust storm detecting and tracking component, and service chain orchestration engine. The EO data processing component is implemented based on OPeNDAP standard. The dust storm detecting and tracking component combines three earth scientific models, which are SBDART model (for computing aerosol optical depth (AOT) of dust particles), WRF model (for simulating meteorological parameters) and HYSPLIT model (for simulating the dust storm transport processes). The service chain orchestration engine is implemented based on Business Process Execution Language for Web Service (BPEL4WS) using open-source software. The output results, including horizontal and vertical AOT distribution of dust particles as well as their transport paths, were represented using KML/XML and displayed in Google Earth. A serious dust storm, which occurred over East Asia from 26 to 28 Apr 2012, is used to test the applicability of the proposed WPS framework. Our aim here is to solve a specific instance of a complex EO data and scientific model integration problem by using a framework and scientific workflow approach together. The experimental result shows that this newly automated and integrated framework can be used to give advance near real-time warning of dust storms, for both environmental authorities and public. The methods presented in this paper might be also generalized to other types of Earth system models, leading to improved ease of use and flexibility.

show abstract

“…As a modeling language, GML provides a rich variety of objects for describing geospatial information, including geospatial features, coordinate reference systems, topology, time, units of measure and generalized values [34]. In addition, using GML spatial and non-spatial relationships among real world objects can be modeled efficiently.…”

Section: Gmlmentioning

confidence: 99%

A Hybrid Architecture for Implementing Efficient Geospatial Web Services: Integrating .Net Remoting and Web Services Technologies

Amirian¹,

Alesheikh²

2008

J. of Applied Sciences

View full text Add to dashboard Cite

Geospatial data is vitally important to the ways thousands of government agencies, private companies and non-profit organizations do their businesses. The widespread access and sharing of geospatial data on the Internet yield many benefits. But, there are two important barriers in front of sharing and accessing geospatial data; non-interoperability and insufficient message exchange patterns of geospatial processing systems which are widely used in various organizations. Using standard geospatial Web services together with efficient technologies provide different kinds of message exchange patterns for various kinds of clients facilitate to share and access to geospatial data. This paper proposes a service oriented framework for disseminating geospatial data over the Web. Based on our practical tests, the proposed framework proved to be an efficient solution for sharing and accessing to geospatial data.

show abstract

Design and implementation of netCDF markup language (NcML) and its GML-based extension (NcML-GML)

Cited by 31 publications

References 2 publications

A Citygml Extension for Handling Very Large Tins

A Citygml Extension for Handling Very Large Tins

An automated and integrated framework for dust storm detection based on ogc web processing services

A Hybrid Architecture for Implementing Efficient Geospatial Web Services: Integrating .Net Remoting and Web Services Technologies

Contact Info

Product

Resources

About