64   Artículos

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en línea
Younes Hamdani, Guohui Xiao, Linfang Ding and Diego Calvanese    
The integration of the raster data cube alongside another form of geospatial data (e.g., vector data) raises considerable challenges when it comes to managing and representing it using knowledge graphs. Such integration can play an invaluable role in han... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
David Haynes, Philip Mitchell and Eric Shook    
Technologies around the world produce and interact with geospatial data instantaneously, from mobile web applications to satellite imagery that is collected and processed across the globe daily. Big raster data allow researchers to integrate and uncover ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Fei Hu, Mengchao Xu, Jingchao Yang, Yanshou Liang, Kejin Cui, Michael M. Little, Christopher S. Lynnes, Daniel Q. Duffy and Chaowei Yang    
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Quan Xiong, Xiaodong Zhang, Wei Liu, Sijing Ye, Zhenbo Du, Diyou Liu, Dehai Zhu, Zhe Liu and Xiaochuang Yao    
Recently, increasing amounts of multi-source geospatial data (raster data of satellites and textual data of meteorological stations) have been generated, which can play a cooperative and important role in many research works. Efficiently storing, organiz... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Driss En-Nejjary, François Pinet and Myoung-Ah Kang    
The size of spatial data is growing intensively due to the emergence of and the tremendous advances in technology such as sensors and the internet of things. Supporting high-performance queries on this large volume of data becomes essential in several da... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Angéla Olasz,Binh Nguyen Thai,Dániel Kristóf     Pág. 85 - 111
Geospatial technology is still facing a lack of ?out of the box? distributed processing solutions which are suitable for the amount and heterogeneity of geodata, and particularly for use cases requiring a rapid response. Moreover, most of the current dis... ver más

 
en línea
Manuel Antonio Ureña-Cámara and Antonio Tomás Mozas-Calvache    
This study describes a new algorithm developed to detect local cells of minimum or maximum heights in grid Digital Elevation Models (DEMs). DEMs have a low variance in digital levels due to the spatial continuity of the data. Traditional algorithms, such... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Bohui Wang, Sheng Li and Yanyan Ge    
As the largest irrigation area in northwest China, the middle and lower reaches of the Yarkant River basin are limited in economic development by the shortage of surface water resources and the increasing demand for groundwater resources from agriculture... ver más
Revista: Water    Formato: Electrónico

 
en línea
Ba-Huy Tran, Nathalie Aussenac-Gilles, Catherine Comparot and Cassia Trojahn    
Semantic technologies have proven their relevance in facilitating the interpretation of Earth Observation (EO) data through formats such as RDF and reusable models, especially for the representation of space and time. While rasters are the usual data for... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Guoqing Chen and Haizhong Qian    
The extraction of skeleton lines of buildings is a key step in building spatial analysis, which is widely performed for building matching and updating. Several methods for vector data skeleton line extraction have been established, including the improved... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Hong Zhang and Zhiwei Wu    
Shannon entropy is the most popular method for quantifying information in a system. However, Shannon entropy is considered incapable of quantifying spatial data, such as raster data, hence it has not been applied to such datasets. Recently, a method for ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Ba-Huy Tran, Nathalie Aussenac-Gilles, Catherine Comparot and Cassia Trojahn    
Semantic technologies are at the core of Earth Observation (EO) data integration, by providing an infrastructure based on RDF representation and ontologies. Because many EO data come in raster files, this paper addresses the integration of data calculate... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Candan Eylül Kilsedar and Maria Antonia Brovelli    
The focus of this research is addressing a subset of the geovisualization (i.e., geographic visualization) challenges identified in the literature, namely multidimensional vector and raster geospatial data visualization. Moreover, the work implements an ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Junbo Yu, Tinghua Ai, Haijiang Xu, Lingrui Yan and Yilang Shen    
The consistency of geospatial data is of great significance for the application and updating of geographic information in web maps. Due to the multiple data sources and different temporal versions, the tile web maps usually meet the inconsistency questio... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Jordan Vernon, Joseph St. Peter, Christy Crandall, Olufunke E. Awowale, Paul Medley, Jason Drake and Victor Ibeanusi    
Forest management depends on forest condition data and the ability to quantify the impacts of management activities to make informed decisions. Spatially quantifying water yield (WY) from forests across large landscapes enables managers to consider poten... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Tautvydas Fyleris, Andrius Kri?ciunas, Valentas Gru?auskas, Dalia Calneryte and Rimantas Barauskas    
Urban change detection is an important part of sustainable urban planning, regional development, and socio-economic analysis, especially in regions with limited access to economic and demographic statistical data. The goal of this research is to create a... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Zdena Dobesova    
This article presents an evaluation of the ERDAS IMAGINE Spatial Model Editor from the perspective of effective cognition. Workflow models designed in Spatial Model Editor are used for the automatic processing of remote sensing data. The process steps ar... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Joan Mas?, Alaitz Zabala and Xavier Pons    
Despite huge progress in applying Earth Observation (EO) satellite data to protected areas, managers still lack the right tools or skills to analyze the data and extract the necessary knowledge. In this paper a set of EO products are organized in a visua... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Krzysztof Bakula, Magdalena Pilarska, Adam Salach and Zdzislaw Kurczynski    
This paper presents a methodology for levee damage detection based on Unmanned Aerial System (UAS) data. In this experiment, the data were acquired from the UAS platform, which was equipped with a laser scanner and a digital RGB (Red, Green, Blue) camera... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Hao Li, Maosheng Hu and Youxin Huang    
The identification of overpass structures in road networks has great significance for multi-scale modeling of roads, congestion analysis, and vehicle navigation. The traditional vector-based methods identify overpasses by the methodologies coming from co... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

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