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Journal articles on the topic 'Geoprocessing service'

Author: Grafiati

Published: 4 June 2021

Last updated: 17 February 2022

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1

Gong, J., H. Wu, W. Jiang, W. Guo, X. Zhai, and P. Yue. "Geospatial Service Platform for Education and Research." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-6 (April 23, 2014): 31–36. http://dx.doi.org/10.5194/isprsarchives-xl-6-31-2014.

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We propose to advance the scientific understanding through applications of geospatial service platforms, which can help students and researchers investigate various scientific problems in a Web-based environment with online tools and services. The platform also offers capabilities for sharing data, algorithm, and problem-solving knowledge. To fulfil this goal, the paper introduces a new course, named "Geospatial Service Platform for Education and Research", to be held in the ISPRS summer school in May 2014 at Wuhan University, China. The course will share cutting-edge achievements of a geospatial service platform with students from different countries, and train them with online tools from the platform for geospatial data processing and scientific research. The content of the course includes the basic concepts of geospatial Web services, service-oriented architecture, geoprocessing modelling and chaining, and problem-solving using geospatial services. In particular, the course will offer a geospatial service platform for handson practice. There will be three kinds of exercises in the course: geoprocessing algorithm sharing through service development, geoprocessing modelling through service chaining, and online geospatial analysis using geospatial services. Students can choose one of them, depending on their interests and background. Existing geoprocessing services from OpenRS and GeoPW will be introduced. The summer course offers two service chaining tools, GeoChaining and GeoJModelBuilder, as instances to explain specifically the method for building service chains in view of different demands. After this course, students can learn how to use online service platforms for geospatial resource sharing and problem-solving.

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2

Fitzner, Daniel. "Formalizing Cross-Parameter Conditions for Geoprocessing Service Chain Validation." International Journal of Applied Geospatial Research 2, no. 1 (January 2011): 18–35. http://dx.doi.org/10.4018/jagr.2011010102.

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Geoprocessing operations offered via web services provide the means for building complex web-based geospatial applications. Often, certain postconditions such as the spatial reference system, bounding box, schema or quality that hold on the output dataset after the execution of a geoprocessing service are determined and derived from the properties of the inputs passed to the service. Further, geoprocesses often hold preconditions that relate to more than one input, such as the requirement that all inputs must have the same schema. Within current process descriptions for geoprocessing operations, such conditions which we call cross-parameter conditions, can not be explicitly specified. In this paper, the author gives an approach to formalize such cross input-output and cross input parameter conditions in a rule-based language. Further, the author proposes an algorithm for deriving pre- and postconditions for a service composition or workflow out of the pre- and postconditions of the services involved, allowing a more automated handling of workflows in general.

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Ribeiro, Alexandra, Vitor Sousa, and Alberto Cardoso. "GIS Web-based Platform for Experimentation Using Environmental Geosensors." International Journal of Online Engineering (iJOE) 12, no. 04 (April 28, 2016): 68. http://dx.doi.org/10.3991/ijoe.v12i04.5261.

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This work describes a GIS web-based open source platform for wireless in situ geosensor data visualization and distributed geoprocessing. Emphasis is put on: i) visualization of sensor measurements and sensor location on a map; ii) geoprocessing of these data; iii) and, visualization of geoprocessing results on a map. The platform combines the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) standards, in particular the Sensor Observation Service (SOS), and the OGC Web Processing Service (WPS). Several results are presented using different methods of spatial interpolation of air temperature measurements as geoprocessing tasks.

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Kumar, K., and S. Saran. "Web based geoprocessing tool for coverage data handling." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 1139–43. http://dx.doi.org/10.5194/isprsarchives-xl-8-1139-2014.

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With the advancements in GIS technologies and extensive use of OGC Web Services, geospatial resources and services are becoming progressively copious and convenient over the network. The application of OGC WCS (Web Coverage Service) and WFS (Web Feature Service) standards for geospatial raster and vector data has resulted in an opulent pool of interoperable geodata resources waiting to be used for analytical or modelling purposes. The issue of availing geospatial data processing with the aid of standardised web services was attended to by the OGC WPS (Web Processing Service) 1.0.0 specifications (Schut, 2007) which elucidate WPS as a standard interface which serves for the promulgation of geo-processes and consumption of those processes by the clients. This paper outlines the design and implementation of a geo-processing tool utilizing coverage data. The geo-process selected for application is the calculation of Normalized Difference Vegetative Index (NDVI), one of the globally used indices for vegetation cover monitoring. The system is realised using the Geospatial Data Abstraction Library (GDAL) and Python. The tool accesses the WCS server using the parameters defined in the XML request. The geo-process upon execution, performs the computations over the coverage data and generates the NDVI output. Since open source technology and standards are being used more often, especially in the field of scientific research, so our implementation is also built by using open source tools only.

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Kazakov, E., A. Terekhov, E. Kapralov, and E. Panidi. "WPS-based technology for client-side remote sensing data processing." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 29, 2015): 643–49. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-643-2015.

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Server-side processing is principal for most of the current Web-based geospatial data processing tools. However, in some cases the client-side geoprocessing may be more convenient and acceptable. This study is dedicated to the development of methodology and techniques of Web services elaboration, which allow the client-side geoprocessing also. The practical objectives of the research are focused on the remote sensing data processing, which are one of the most resource-intensive data types. <br><br> The idea underlying the study is to propose such geoprocessing Web service schema that will be compatible with the current serveroriented Open Geospatial Consortium standard (OGC WPS standard), and additionally will allow to run the processing on the client, transmitting processing tool (executable code) over the network instead of the data. At the same time, the unity of executable code must be preserved, and the transmitted code should be the same to that is used for server-side processing. This unity should provide unconditional identity of the processing results that performed using of any schema. The appropriate services are pointed by the authors as a Hybrid Geoprocessing Web Services (HGWSs). <br><br> The common approaches to architecture and structure of the HGWSs are proposed at the current stage as like as a number of service prototypes. For the testing of selected approaches, the geoportal prototype was implemented, which provides access to created HGWS. Further works are conducted on the formalization of platform independent HGWSs implementation techniques, and on the approaches to conceptualization of theirs safe use and chaining possibilities. <br><br> The proposed schema of HGWSs implementation could become one of the possible solutions for the distributed systems, assuming that the processing servers could play the role of the clients connecting to the service supply server. <br><br> The study was partially supported by Russian Foundation for Basic Research (RFBR), research project No. 13-05-12079 ofi_m.

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Xing, Huaqiao, Jun Chen, Hao Wu, and Dongyang Hou. "A Web Service-Oriented Geoprocessing System for Supporting Intelligent Land Cover Change Detection." ISPRS International Journal of Geo-Information 8, no. 1 (January 20, 2019): 50. http://dx.doi.org/10.3390/ijgi8010050.

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Remotely sensed imagery-based change detection is an effective approach for identifying land cover change information. A large number of change detection algorithms have been developed that satisfy different requirements. However, most change detection algorithms have been developed using desktop-based software in offline environments; thus, it is increasingly difficult for common end-users, who have limited remote sensing experience and geographic information system (GIS) skills, to perform appropriate change detection tasks. To address this challenge, this paper proposes an online geoprocessing system for supporting intelligent land cover change detection (OGS-LCCD). This system leverages web service encapsulation technology and an automatic service composition approach to dynamically generate a change detection service chain. First, a service encapsulation strategy is proposed with an execution body encapsulation and service semantics description. Then, a constraint rule-based service composition method is proposed to chain several web services into a flexible change detection workflow. Finally, the design and implementation of the OGS-LCCD are elaborated. A step-by-step walk-through example for a web-based change detection task is presented using this system. The experimental results demonstrate the effectiveness and applicability of the prototype system.

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Friis-Christensen, Anders, Nicole Ostländer, Michael Lutz, and Lars Bernard. "Designing Service Architectures for Distributed Geoprocessing: Challenges and Future Directions." Transactions in GIS 11, no. 6 (December 2007): 799–818. http://dx.doi.org/10.1111/j.1467-9671.2007.01075.x.

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Yang, Chao, Nengcheng Chen, and Liping Di. "RESTFul based heterogeneous Geoprocessing workflow interoperation for Sensor Web Service." Computers & Geosciences 47 (October 2012): 102–10. http://dx.doi.org/10.1016/j.cageo.2011.11.010.

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McCullough, Aengus, Philip James, and Stuart Barr. "A Service Oriented Geoprocessing System for Real-Time Road Traffic Monitoring." Transactions in GIS 15, no. 5 (October 2011): 651–65. http://dx.doi.org/10.1111/j.1467-9671.2011.01282.x.

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Tripathi, A. K., S. Agrawal, and R. D. Gupta. "WPS ENABLED SDI: AN OPEN SOURCE APPROACH TO PROVIDE GEOPROCESSING IN WEB ENVIRONMENT." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-5/W2 (December 5, 2019): 119–26. http://dx.doi.org/10.5194/isprs-annals-iv-5-w2-119-2019.

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Abstract. Sharing and management of geospatial data among different communities and users is a challenge which is suitably addressed by Spatial Data Infrastructure (SDI). SDI helps people in the discovery, editing, processing and visualization of spatial data. The user can download the data from SDI and process it using the local resources. However, large volume and heterogeneity of data make this processing difficult at the client end. This problem can be resolved by orchestrating the Web Processing Service (WPS) with SDI. WPS is a service interface through which geoprocessing can be done over the internet. In this paper, a WPS enabled SDI framework with OGC compliant services is conceptualized and developed. It is based on the three tier client server architecture. OGC services are provided through GeoServer. WPS extension of GeoServer is used to perform geospatial data processing and analysis. The developed framework is utilized to create a public health SDI prototype using Open Source Software (OSS). The integration of WPS with SDI demonstrates how the various data analysis operations of WPS can be performed over the web on distributed data sources provided by SDI.

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Ludwig, Byron, and Serena Coetzee. "Implications of security mechanisms and Service Level Agreements (SLAs) of Platform as a Service (PaaS) clouds for geoprocessing services." Applied Geomatics 5, no. 1 (May 26, 2012): 25–32. http://dx.doi.org/10.1007/s12518-012-0083-3.

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12

Eberle, J., and C. Strobl. "Web-Based Geoprocessing and Workflow Creation for Generating and Providing Remote Sensing Products." GEOMATICA 66, no. 1 (March 2012): 13–26. http://dx.doi.org/10.5623/cig2012-005.

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With the implementation specification of the Web Processing Service (WPS), a standard to process spatial data on the web is available from the Open Geospatial Consortium (OGC). This new possibility in web-based information systems allow an interoperable processing of different data based on service-oriented architectures. This paper describes requirements and an implementation for web-based processing and workflow creation to generate and provide remote sensing products like fire hotspot points and land surface temperatures based on NASA MODIS data. Therefore, a WPS as well as service chains to process these remote sensing products are implemented. PyWPS is used as WPS and tested with focus on processing remote sensing data. To chain the developed processes, software like 52° North Orchestration Engine, Apache ODE and internal software for executing processing chains and providing a workflow as WPS process are tested. A Web-GIS with open-source software was developed to manage started and finished processes, to search for available satellite data and to create processing chains interactively. An interface to retrieve and process archived data was integrated; the user of this system can search interactively for archived satellite data and process it with the developed processing services and workflows. The Web-GIS also acts as a WPS client, client for visualizing processed data and creator as well as security layer for processing chains. These developments and research work show that there is additional work to improve the WPS specification for example by adding domain-specific profiles for working with large raster data to define standardised rules for data-exchange between the processes. In the field of process orchestration, no standardised data format describing processing chains exists yet.

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NINSAWAT, Sarawut, Venkatesh RAGHAVAN, and Shinji MASUMOTO. "INTEGRATION OF WEB PROCESSING SERVICE AND SENSOR OBSERVATION SERVICE FOR DISTRIBUTED GEOPROCESSING USING REAL-TIME DATA." GEOINFORMATICS 19, no. 3 (2008): 171–79. http://dx.doi.org/10.6010/geoinformatics.19.171.

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Müller, Matthias, Lars Bernard, and Johannes Brauner. "Moving Code in Spatial Data Infrastructures - Web Service Based Deployment of Geoprocessing Algorithms." Transactions in GIS 14 (June 29, 2010): 101–18. http://dx.doi.org/10.1111/j.1467-9671.2010.01205.x.

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Sun, Ziheng, Peng Yue, Xianchang Lu, Xi Zhai, and Lei Hu. "A Task Ontology Driven Approach for Live Geoprocessing in a Service-Oriented Environment." Transactions in GIS 16, no. 6 (December 2012): 867–84. http://dx.doi.org/10.1111/j.1467-9671.2012.01364.x.

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Samadzadegan, F., M. Saber, H. Zahmatkesh, and H. Joze Ghazi Khanlou. "AN ARCHITECTURE FOR AUTOMATED FIRE DETECTION EARLY WARNING SYSTEM BASED ON GEOPROCESSING SERVICE COMPOSITION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1/W3 (September 24, 2013): 351–55. http://dx.doi.org/10.5194/isprsarchives-xl-1-w3-351-2013.

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Barbosa, Ivanildo. "Geospatial metadata retrieval from web services." Boletim de Ciências Geodésicas 19, no. 1 (March 2013): 3–13. http://dx.doi.org/10.1590/s1982-21702013000100001.

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Nowadays, producers of geospatial data in either raster or vector formats are able to make them available on the World Wide Web by deploying web services that enable users to access and query on those contents even without specific software for geoprocessing. Several providers around the world have deployed instances of WMS (Web Map Service), WFS (Web Feature Service) and WCS (Web Coverage Service), all of them specified by the Open Geospatial Consortium (OGC). In consequence, metadata about the available contents can be retrieved to be compared with similar offline datasets from other sources. This paper presents a brief summary and describes the matching process between the specifications for OGC web services (WMS, WFS and WCS) and the specifications for metadata required by the ISO 19115 - adopted as reference for several national metadata profiles, including the Brazilian one. This process focuses on retrieving metadata about the identification and data quality packages as well as indicates the directions to retrieve metadata related to other packages. Therefore, users are able to assess whether the provided contents fit to their purposes.

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Yang, Z. L., J. Cao, K. Hu, Z. P. Gui, H. Y. Wu, and L. You. "DEVELOPING A CLOUD-BASED ONLINE GEOSPATIAL INFORMATION SHARING AND GEOPROCESSING PLATFORM TO FACILITATE COLLABORATIVE EDUCATION AND RESEARCH." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B6 (June 17, 2016): 3–7. http://dx.doi.org/10.5194/isprsarchives-xli-b6-3-2016.

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Efficient online discovering and applying geospatial information resources (GIRs) is critical in Earth Science domain as while for cross-disciplinary applications. However, to achieve it is challenging due to the heterogeneity, complexity and privacy of online GIRs. In this article, GeoSquare, a collaborative online geospatial information sharing and geoprocessing platform, was developed to tackle this problem. Specifically, (1) GIRs registration and multi-view query functions allow users to publish and discover GIRs more effectively. (2) Online geoprocessing and real-time execution status checking help users process data and conduct analysis without pre-installation of cumbersome professional tools on their own machines. (3) A service chain orchestration function enables domain experts to contribute and share their domain knowledge with community members through workflow modeling. (4) User inventory management allows registered users to collect and manage their own GIRs, monitor their execution status, and track their own geoprocessing histories. Besides, to enhance the flexibility and capacity of GeoSquare, distributed storage and cloud computing technologies are employed. To support interactive teaching and training, GeoSquare adopts the rich internet application (RIA) technology to create user-friendly graphical user interface (GUI). Results show that GeoSquare can integrate and foster collaboration between dispersed GIRs, computing resources and people. Subsequently, educators and researchers can share and exchange resources in an efficient and harmonious way.

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Yang, Z. L., J. Cao, K. Hu, Z. P. Gui, H. Y. Wu, and L. You. "DEVELOPING A CLOUD-BASED ONLINE GEOSPATIAL INFORMATION SHARING AND GEOPROCESSING PLATFORM TO FACILITATE COLLABORATIVE EDUCATION AND RESEARCH." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B6 (June 17, 2016): 3–7. http://dx.doi.org/10.5194/isprs-archives-xli-b6-3-2016.

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Efficient online discovering and applying geospatial information resources (GIRs) is critical in Earth Science domain as while for cross-disciplinary applications. However, to achieve it is challenging due to the heterogeneity, complexity and privacy of online GIRs. In this article, GeoSquare, a collaborative online geospatial information sharing and geoprocessing platform, was developed to tackle this problem. Specifically, (1) GIRs registration and multi-view query functions allow users to publish and discover GIRs more effectively. (2) Online geoprocessing and real-time execution status checking help users process data and conduct analysis without pre-installation of cumbersome professional tools on their own machines. (3) A service chain orchestration function enables domain experts to contribute and share their domain knowledge with community members through workflow modeling. (4) User inventory management allows registered users to collect and manage their own GIRs, monitor their execution status, and track their own geoprocessing histories. Besides, to enhance the flexibility and capacity of GeoSquare, distributed storage and cloud computing technologies are employed. To support interactive teaching and training, GeoSquare adopts the rich internet application (RIA) technology to create user-friendly graphical user interface (GUI). Results show that GeoSquare can integrate and foster collaboration between dispersed GIRs, computing resources and people. Subsequently, educators and researchers can share and exchange resources in an efficient and harmonious way.

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Zheng, Z., Z. Y. Chang, and Y. F. Fei. "A SIMULATION-AS-A-SERVICE FRAMEWORK FACILITATING WEBGIS BASED INSTALLATION PLANNING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 12, 2017): 193–98. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-193-2017.

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Installation Planning is constrained by both natural and social conditions, especially for spatially sparse but functionally connected facilities. Simulation is important for proper deploy in space and configuration in function of facilities to make them a cohesive and supportive system to meet users’ operation needs. Based on requirement analysis, we propose a framework to combine GIS and Agent simulation to overcome the shortness in temporal analysis and task simulation of traditional GIS. In this framework, Agent based simulation runs as a service on the server, exposes basic simulation functions, such as scenario configuration, simulation control, and simulation data retrieval to installation planners. At the same time, the simulation service is able to utilize various kinds of geoprocessing services in Agents’ process logic to make sophisticated spatial inferences and analysis. This simulation-as-a-service framework has many potential benefits, such as easy-to-use, on-demand, shared understanding, and boosted performances. At the end, we present a preliminary implement of this concept using ArcGIS javascript api 4.0 and ArcGIS for server, showing how trip planning and driving can be carried out by agents.

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Kiehle, Christian, Klaus Greve, and Christian Heier. "Requirements for Next Generation Spatial Data Infrastructures-Standardized Web Based Geoprocessing and Web Service Orchestration." Transactions in GIS 11, no. 6 (December 2007): 819–34. http://dx.doi.org/10.1111/j.1467-9671.2007.01076.x.

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Yang, Chao, Zhong Xie, and Zhanya Xu. "An asynchronous Geoprocessing Workflow and its application to an Antarctic ozone monitoring and mapping service." International Journal of Digital Earth 9, no. 2 (October 29, 2014): 156–70. http://dx.doi.org/10.1080/17538947.2014.967318.

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Mikita, Tomáš, and Petr Balogh. "Usage of Geoprocessing Services in Precision Forestry for Wood Volume Calculation and Wind Risk Assessment." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 63, no. 3 (2015): 793–801. http://dx.doi.org/10.11118/actaun201563030793.

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This paper outlines the idea of a precision forestry tool for optimizing clearcut size and shape within the process of forest recovery and its publishing in the form of a web processing service for forest owners on the Internet. The designed tool titled COWRAS (Clearcut Optimization and Wind Risk Assessment) is developed for optimization of clearcuts (their location, shape, size, and orientation) with subsequent wind risk assessment. The tool primarily works with airborne LiDAR data previously processed to the form of a digital surface model (DSM) and a digital elevation model (DEM). In the first step, the growing stock on the planned clearcut determined by its location and area in feature class is calculated (by the method of individual tree detection). Subsequently tree heights from canopy height model (CHM) are extracted and then diameters at breast height (DBH) and wood volume using the regressions are calculated. Information about wood volume of each tree in the clearcut is exported and summarized in a table. In the next step, all trees in the clearcut are removed and a new DSM without trees in the clearcut is generated. This canopy model subsequently serves as an input for evaluation of wind risk damage by the MAXTOPEX tool (Mikita et al., 2012). In the final raster, predisposition of uncovered forest stand edges (around the clearcut) to wind risk is calculated based on this analysis. The entire tool works in the background of ArcGIS server as a spatial decision support system for foresters.

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Schwartze, Christian. "Deriving Hydrological Response Units (HRUs) using a Web Processing Service implementation based on GRASS GIS." Geoinformatics FCE CTU 3 (April 12, 2008): 67–78. http://dx.doi.org/10.14311/gi.3.6.

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QGIS releases equal to or newer than 0.7 can easily connected to GRASS GIS by means of a toolbox that provides a wide range of standard GRASS modules you can launch – albeit only on data coming from GRASS. This QGIS plugin is expandable through XML configurations describing the assignment of options and inputs for a certain module. But how about embedding a precise workflow where the several processes don’t consist of a single GRASS module by force? Especially for a sequence of dependent tasks it makes sense to merge relevant GRASS functionality into an own and encapsulated QGIS extension. Its architecture and development is tested and combined with the Web Processing Service (WPS) for remote execution using the concept of hydrological response units (HRUs) as an example. The results of this assay may be suitable for discussing and planning other wizard-like geoprocessing plugins in QGIS that also should make use of an additional GRASS server.

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Hu, Kai, Zhipeng Gui, Xiaoqiang Cheng, Huayi Wu, and Stephen McClure. "The Concept and Technologies of Quality of Geographic Information Service: Improving User Experience of GIServices in a Distributed Computing Environment." ISPRS International Journal of Geo-Information 8, no. 3 (March 1, 2019): 118. http://dx.doi.org/10.3390/ijgi8030118.

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With the wide use of web technologies, service-oriented architecture (SOA), and cloud computing, more and more geographical information systems are served as GIServices. Under such circumstance, quality of geographic information services (QoGIS) has emerged as an important research topic of geoinformatics. However, it is not easy to understand the field since QoGIS has no formal standards, which is not only in regard to server-side performance and capabilities, but is also related with the quality of experience (QoE) during user interaction with GIServices. In this paper, we compare quality of service (QoS) and QoGIS research to understand the uniqueness of QoGIS. A conceptual framework is proposed to organize and interpret QoGIS research from the perspective of quality modeling, acquisition, and application, and we discuss the status, limitations, and future directions of this area. Overall, our analysis shows that new quality metrics will evolve from existing metrics to match the needs in concrete QoGIS applications, and user preferences need to be considered in quality modeling for GIServices. We discuss three approaches for the provision of QoGIS information and find that user feedback mining is an important supplementary source of quality information. Gaps between QoS and QoGIS research suggest that the GIService performance enhancement must not only consider the unique features of spatial data models and algorithms, but also system architecture, deployment, and user spatiotemporal access behaviors. Advanced service selection algorithms must be introduced to tackle the quality optimization problems of geoprocessing workflow planning. Moreover, a QoGIS-aware GIServices framework must be established to facilitate and ensure GISerivce discovery and interaction. We believe this bibliographic review provides a helpful guide for GIS researchers.

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Skeie, Kristian, and Arild Gustavsen. "Utilising Open Geospatial Data to Refine Weather Variables for Building Energy Performance Evaluation—Incident Solar Radiation and Wind-Driven Infiltration Modelling." Energies 14, no. 4 (February 3, 2021): 802. http://dx.doi.org/10.3390/en14040802.

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In building thermal energy characterisation, the relevance of proper modelling of the effects caused by solar radiation, temperature and wind is seen as a critical factor. Open geospatial datasets are growing in diversity, easing access to meteorological data and other relevant information that can be used for building energy modelling. However, the application of geospatial techniques combining multiple open datasets is not yet common in the often scripted workflows of data-driven building thermal performance characterisation. We present a method for processing time-series from climate reanalysis and satellite-derived solar irradiance services, by implementing land-use, and elevation raster maps served in an elevation profile web-service. The article describes a methodology to: (1) adapt gridded weather data to four case-building sites in Europe; (2) calculate the incident solar radiation on the building facades; (3) estimate wind and temperature-dependent infiltration using a single-zone infiltration model and (4) including separating and evaluating the sheltering effect of buildings and trees in the vicinity, based on building footprints. Calculations of solar radiation, surface wind and air infiltration potential are done using validated models published in the scientific literature. We found that using scripting tools to automate geoprocessing tasks is widespread, and implementing such techniques in conjunction with an elevation profile web service made it possible to utilise information from open geospatial data surrounding a building site effectively. We expect that the modelling approach could be further improved, including diffuse-shading methods and evaluating other wind shelter methods for urban settings.

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Pereira Toniolo, Bruno. "Análise de indicadores de saneamento básico e densidade populacional na Unidade de Negócio Oeste Sabesp." Revista DAE 221, no. 68 (December 10, 2019): 42–52. http://dx.doi.org/10.36659/dae.2020.004.

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Este artigo tem o intuito de analisar a situação do saneamento básico em 2015 por meio de indicadores e sua relação com a dinâmica demográfica dos anos 2000 e 2015 na Unidade de Negócio Oeste (MO) da Companhia de Saneamento Básico do Estado de São Paulo (Sabesp) pelo uso do geoprocessamento. Foram criados mapas no software QGIS que possibilitaram a espacialização dos indicadores analisados para os anos de 2010 e 2015, os quais são: a) atendimento de água, b) atendimento de esgoto, c) perdas na distribuição, d) cobertura de co- leta direta de resíduos sólidos urbanos (RSU) e e) massa coletada de RSU. Houve um aumento na densidade populacional média da MO que saltou dos 5.414,73 hab./km² em 2000 para os 6.650,26 hab./km² em 2015, resultando em uma aglomeração maior de pessoas nas áreas urbanizadas. Dos indicadores, cinco tiveram uma relativa melhoria e um, o de perdas na distribuição, teve um retrocesso. A metodologia é útil para avaliar os in- dicadores, a servir como balizadora para estudos futuros em outras áreas operadas pela Sabesp. Palavras-chave: Esgotamento Sanitário. Abastecimento de Água Potável. Resíduos Sólidos. Densidade De- mográfica. Geoprocessamento. This article intends to analyze the situation of basic sanitation in 2015 through indicators and its relation with the demographic dynamics of the years 2000 and 2015 in the Business Unit West (MO) of the Sanitation Company of the State of São Paulo (Sabesp) through the use of geoprocessing. The maps were created in the QGIS software that enabled the spatialization of the analyzed indicators for the years 2010 and 2015, which are: a) water supply, b) sewage service, c) distribution losses, d) direct collection of urban solid waste and e) mass collected from urban solid wasted. There was an increase in the mean population density of MO from 5,414.73 inhab./km² in 2000 to 6,650.26 inhab./km² in 2015, resulting in a larger population crowding in urbanized areas. Of the indicators, five had a relative improvement and one, the one of losses in the distribution, had a setback. The methodology is useful to evaluate the indicators, to serve as a beacon for future studies in other areas operated by SABESP. Keywords: Sanitary sewage. Drinking Water Supply. Solid Waste. Demographic Density. Geoprocessing.

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Müller, Matthias. "Hierarchical profiling of geoprocessing services." Computers & Geosciences 82 (September 2015): 68–77. http://dx.doi.org/10.1016/j.cageo.2015.05.017.

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Zhai, X., J. Gong, P. Yue, Z. Sun, and X. Lu. "WYSIWYG GEOPROCESSING: COUPLING SENSOR WEB AND GEOPROCESSING SERVICES IN VIRTUAL GLOBES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXVIII-4/W25 (August 30, 2012): 56–61. http://dx.doi.org/10.5194/isprsarchives-xxxviii-4-w25-56-2011.

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Landa, M., P. Kavka, L. Strouhal, and J. Cepicky. "BUILDING A COMPLETE FREE AND OPEN SOURCE GIS INFRASTRUCTURE FOR HYDROLOGICAL COMPUTING AND DATA PUBLICATION USING GIS.LAB AND GISQUICK PLATFORMS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W2 (July 5, 2017): 101–5. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w2-101-2017.

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Building a complete free and open source GIS computing and data publication platform can be a relatively easy task. This paper describes an automated deployment of such platform using two open source software projects – GIS.lab and Gisquick. GIS.lab (<a href=" http: //web.gislab.io"target="_blank">http: //web.gislab.io</a>) is a project for rapid deployment of a complete, centrally managed and horizontally scalable GIS infrastructure in the local area network, data center or cloud. It provides a comprehensive set of free geospatial software seamlessly integrated into one, easy-to-use system. A platform for GIS computing (in our case demonstrated on hydrological data processing) requires core components as a geoprocessing server, map server, and a computation engine as eg. GRASS GIS, SAGA, or other similar GIS software. All these components can be rapidly, and automatically deployed by GIS.lab platform. In our demonstrated solution PyWPS is used for serving WPS processes built on the top of GRASS GIS computation platform. GIS.lab can be easily extended by other components running in Docker containers. This approach is shown on Gisquick seamless integration. Gisquick (<a href=" http://gisquick.org"target="_blank">http://gisquick.org</a>) is an open source platform for publishing geospatial data in the sense of rapid sharing of QGIS projects on the web. The platform consists of QGIS plugin, Django-based server application, QGIS server, and web/mobile clients. In this paper is shown how to easily deploy complete open source GIS infrastructure allowing all required operations as data preparation on desktop, data sharing, and geospatial computation as the service. It also includes data publication in the sense of OGC Web Services and importantly also as interactive web mapping applications.

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Dragićević, Suzana, Songnian Li, Maria Brovelli, and Bert Veenendaal. "Pervasive Web Mapping, Geoprocessing and Services." Transactions in GIS 15, no. 2 (April 2011): 125–27. http://dx.doi.org/10.1111/j.1467-9671.2011.01251.x.

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Sutil, Thaise, Nilzo Ivo Ladwig, Álvaro José Back, and Danrlei De Conto. "Diagnóstico físico, socioeconômico e socioambiental do território da área de proteção ambiental (APA) do Rio Maior – Santa Catarina – Brasil (Physical, socioeconomic and socio-environmental diagnosis of the territory of the environmental protection area (APA) of Rio Maior - Santa Catarina - Brazil)." Revista Brasileira de Geografia Física 12, no. 4 (November 11, 2019): 1583. http://dx.doi.org/10.26848/rbgf.v12.4.p1583-1599.

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Com o intuito de conservar os recursos hídricos e a vegetação existente na bacia hidrográfica do rio Maior, foi criada a Área de Preservação Ambiental (APA) do Rio Maior, por meio do projeto de Lei Municipal n. 1.665/1998. No entanto, além da sua criação definida por lei, é necessário o seu gerenciamento, o que não ocorreu na APA do Rio Maior. Passados vinte anos da criação, ainda não foi instituído o Conselho Consultivo e, consequentemente, não foi elaborado o plano de manejo. Diante desse contexto envolvendo a APA do Rio Maior, desenvolveu-se estudo que tem como objetivo caracterizar os aspectos físicos, socioeconômico e socioambiental do território onde está inserida a APA. Para alcançar o objetivo proposto, utilizou-se de pesquisa documental, pesquisa bibliográfica e geoprocessamento. Como resultado do estudo, foram gerados produtos cartográficos da geologia, dos recursos minerais, da geomorfologia, da declividade, da altimetria, da pedologia, do clima, da hidrografia, da vegetação, dos aspectos históricos, da população residente nas comunidades inseridas dentro do território da APA, da estrutura fundiária, das atividades agropecuárias, das atividades comerciais, industriais e de serviços, dos aspectos relativos ao uso e cobertura da terra e os impactos socioambientais. Os mapas temáticos associativos e específicos produzidos são informações que poderão promover as análises qualitativas e quantitativas para fins de simulações e tomadas de decisão no contexto da elaboração do plano de manejo. A B S T R A C TIn order to conserve water resources and existing vegetation in the Rio Maior river basin, the Rio Maior Environmental Preservation Area (EPA) was created through the Municipal Law no. 1,665 / 1998. However, besides its creation defined by law, it is necessary to manage it, which did not occur in the EPA of Rio Maior. Twenty years after the creation of the Advisory Council, the management plan has not yet been established. Given this context involving the EPA of Rio Maior, a study was developed that aims to characterize the physical, socioeconomic and socio-environmental aspects of the territory where the EPA is inserted. In order to reach the proposed objective, we used documentary research, bibliographical research and geoprocessing. Because of the study, cartographic products of geology, mineral resources, geomorphology, slope, altimetry, pedology, climate, hydrography, vegetation, historical aspects, and population residing in communities EPA, land structure, agricultural activities, commercial, industrial and service activities, aspects related to land use and land cover, and socio-environmental impacts. The associative and specific thematic maps produced are information that can promote the qualitative and quantitative analyzes for the purposes of simulations and decision making in the context of the elaboration of the management plan.Key words: Conservation unit (CU). Geoprocessing. Environmental analysis.

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Shi, Shaozhong, and Nigel Walford. "Automated Geoprocessing Mechanism, Processes and Workflow for Seamless Online Integration of Geodata Services and Creating Geoprocessing Services." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 5, no. 6 (December 2012): 1659–64. http://dx.doi.org/10.1109/jstars.2012.2187433.

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Brovelli, Maria Antonia, Songnian Li, Suzana Dragicevic, and Bert Veenendaal. "Introductory editorial: web-based sensors and geoprocessing services." Applied Geomatics 5, no. 1 (February 9, 2013): 1–2. http://dx.doi.org/10.1007/s12518-013-0102-z.

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Zhai, X., L. Jiang, and P. Yue. "Web-Based Geospatial Resource Sharing Through GeoPW." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-6 (April 23, 2014): 131–35. http://dx.doi.org/10.5194/isprsarchives-xl-6-131-2014.

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As Web-related technologies have matured in recent years, an increasing amount of geospatial resources (e.g. geospatial services, workflows, and geospatial data) are available in the distributed Web environment. Consequently, effective and efficient sharing and management of geospatial resources on the Web are necessary for better utilizing these resources for education and scientific research. This matches the vision of Geoprocessing Web, which emphasizes the sharing and access of geoprocessing utilities from the perspectives of communication, collaboration, and participation. Previous work on GeoPW has provided a large number of geoprocessing services over the Web. In this paper, GeoPW goes further to offer a Web platform for sharing geospatial resources. The paper presents the design, implementation, and functions of the platform, which offers a user-friendly environment for publication, discovery, and communication of geospatial data, services, and workflows.

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Panidi, E. A. "APPROACHES TO DEVELOPMENT OF CLIENT-SIDE GEOPROCESSING WEB-SERVICES." Proceedings of the International conference “InterCarto/InterGIS” 1, no. 20 (January 1, 2014): 218–27. http://dx.doi.org/10.24057/2414-9179-2014-1-20-218-227.

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Veenendaal, Bert, Maria Antonia Brovelli, and Lixin Wu. "Cloud/web mapping and geoprocessing services – Intelligently linking geoinformation." ISPRS Journal of Photogrammetry and Remote Sensing 114 (April 2016): 243–44. http://dx.doi.org/10.1016/j.isprsjprs.2016.03.005.

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Fitzner, Daniel, Jörg Hoffmann, and Eva Klien. "Functional description of geoprocessing services as conjunctive datalog queries." GeoInformatica 15, no. 1 (October 9, 2009): 191–221. http://dx.doi.org/10.1007/s10707-009-0093-4.

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Wu, Huanping, Wei Tang, Bing Luo, and Zhongliang Lv. "Weather services products generation system based on GIS geoprocessing." Computers & Geosciences 51 (February 2013): 16–21. http://dx.doi.org/10.1016/j.cageo.2012.07.019.

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40

Montañana, José Miguel, Paolo Marangino, and Antonio Hervás. "Open Source Framework for Enabling HPC and Cloud Geoprocessing Services." Agris on-line Papers in Economics and Informatics 12, no. 4 (December 30, 2020): 61–76. http://dx.doi.org/10.7160/aol.2020.120405.

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Geoprocessing is a set of tools that can be used to efficiently address several pressing chal-lenges for the global economy ranging from agricultural productivity, the design of transport networks, to the prediction of climate change and natural disasters. This paper describes an Open Source Framework developed, within three European projects, for Ena-bling High-Performance Computing (HPC) and Cloud geoprocessing services applied to agricultural challenges. The main goals of the European Union projects EUXDAT (EUro-pean e-infrastructure for eXtreme Data Analytics in sustainable developmenT), CYBELE (fostering precision agriculture and livestock farming through secure access to large-scale HPC-enabled virtual industrial experimentation environment empowering scalable big data analytics), and EOPEN (opEn interOperable Platform for unified access and analysis of Earth observatioN data) are to enable the use of large HPC systems, as well as big data management, user-friendly access and visualization of results. In addition, these projects focus on the development of software frameworks, and fuse Earth-observation data, such as Copernicus data, with non-Earth-observation data, such as weather, environmental and social media information. In this paper, we describe the agroclimatic-zones pilot used to validate the framework. Finally, performance metrics collected during the execution (up to 182 times speedup with 256 MPI processes) of the pilot are presented.

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Karimi, Hassan Ali, Duangduen Roongpiboonsopit, and Haopeng Wang. "Exploring Real-Time Geoprocessing in Cloud Computing: Navigation Services Case Study." Transactions in GIS 15, no. 5 (October 2011): 613–33. http://dx.doi.org/10.1111/j.1467-9671.2011.01263.x.

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Mauclerc, Anthony, Laurent Coudercy, Nicolas Fauvet, Olivier Morel, and Vincent Mardhel. "Interoperable geoprocessing services on the French hydrographical network and finalised application." International Journal of Spatial, Temporal and Multimedia Information Systems 1, no. 2 (2017): 119. http://dx.doi.org/10.1504/ijstmis.2017.089825.

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Mardhel, Vincent, Anthony Mauclerc, Laurent Coudercy, Olivier Morel, and Nicolas Fauvet. "Interoperable geoprocessing services on the French hydrographical network and finalised application." International Journal of Spatial, Temporal and Multimedia Information Systems 1, no. 2 (2017): 119. http://dx.doi.org/10.1504/ijstmis.2017.10010879.

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44

Lutz, Michael. "Ontology-Based Descriptions for Semantic Discovery and Composition of Geoprocessing Services." GeoInformatica 11, no. 1 (July 28, 2006): 1–36. http://dx.doi.org/10.1007/s10707-006-7635-9.

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45

Stasch, C., B. Pross, B. Gräler, C. Malewski, C. Förster, and S. Jirka. "Coupling sensor observation services and web processing services for online geoprocessing in water dam monitoring." International Journal of Digital Earth 11, no. 1 (May 13, 2017): 64–78. http://dx.doi.org/10.1080/17538947.2017.1319977.

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Wu, Huayi, Lan You, Zhipeng Gui, Shuang Gao, Zhenqiang Li, and Jingmin Yu. "FAST: A fully asynchronous and status-tracking pattern for geoprocessing services orchestration." Computers & Geosciences 70 (September 2014): 213–28. http://dx.doi.org/10.1016/j.cageo.2014.06.005.

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Stern, Christian, and Gertrud Schaab. "Training students in Python programming skills and WPS wrapping for geoprocessing tasks by using examples of less commonly applied thematic mapping methods." AGILE: GIScience Series 2 (June 4, 2021): 1–10. http://dx.doi.org/10.5194/agile-giss-2-15-2021.

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Abstract. Python programming and the application of web services technology can be considered important skills for geomatics students when looking for employment later. A course on Web Processing Services (WPS) as part of the International Geomatics master programme at Karlsruhe University of Applied Sciences takes this into consideration while using the opportunity of making students aware of less-known thematic mapping methods. Students are introduced to automating a complex geoprocessing task and finally wrapping it into a WPS. It is achieved by following the phases of first conceptualizing the single steps before then using ArcGIS ModelBuilder and Python scripts in combination to build the processing chain. The alternate band map method serves as example in the hands-on exercise. Later students are asked to automate the generation of the geometries for the map face and/or map legend supporting other thematic mapping methods like the square density map or the absolute value raster map. The paper discusses the teaching approach and experiences made so far. Conceptualizing the automatization of a given complex geoprocessing problem proved to be the most challenging part for the students.

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Reichardt, Mark. "Open standards-based geoprocessing Web services support the study and management of hazard and risk." Geomatics, Natural Hazards and Risk 1, no. 2 (June 2010): 171–84. http://dx.doi.org/10.1080/19475701003643458.

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Nascimento, Francisco Gilson do, Alfredo Marcelo Grigio, Marco Antonio Diodato, and João Paulo Silva dos Santos. "Poços inativos de petróleo e gás em ambiente urbano: potenciais proliferadores de arboviroses em Mossoró/RN." Revista Brasileira de Geografia Física 13, no. 6 (December 15, 2020): 2992. http://dx.doi.org/10.26848/rbgf.v13.6.p2992-3005.

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Os reflexos e compreensão do uso e ocupação do solo em áreas de poços inativos de petróleo e gás no perímetro urbano, perante sua interação socioespacial, é de suma importância frente possíveis consequências à saúde e ao ambiente em seus diferentes contextos, constituindo assim, o enfoque central deste artigo. O estudo busca analisar a presença de poços inativos de Petróleo e Gás no perímetro urbano de Mossoró/RN como potencial proliferador de mosquitos causadores de arboviroses, abrangendo análises das classes de uso e ocupação da cidade sujeitas a sofrer influência destas localizações. Esta pesquisa tem seu instrumental técnico baseado em técnicas de sensoriamento remoto, que através de Sistemas de Informações Geográficas - SIG, permitiu a geração de informações georeferenciadas e espacializadas da paisagem por meio de mapas com buffers de interferências às classes de uso ocupação do solo urbano da cidade, apontando os riscos de criadouros de vetores causadores de arboviroses (Zika, Chicungunya e Dengue) nas áreas de poços inativos de petróleo e gás. Constatou-se perante os resultados que a classe de uso residencial, comercial e serviços apresenta a maior ocupação (50,3%) nos espaços propícios a sofrer influência de vetores causadores de arboviroses provenientes das áreas dos poços inativos. Espera-se que o trabalho possa auxiliar o município na organização e planejamento de estratégias ao combate aos criadouros de arboviroses em áreas dos poços inativos de petróleo e gás na área urbana de Mossoró/RN. Inactive oil and gas wells in an urban environment: potential arbovirus proliferators in Mossoró / RN ABSTRACTThe reflexes and understanding of land use and occupation in areas of inactive oil and gas wells in the urban perimeter, in view of their socio-spatial interaction, is of paramount importance in view of possible health and environmental consequences in their different contexts, thus constituting the focus. this article. The study seeks to analyze the presence of inactive oil and gas wells in the urban perimeter of Mossoró/RN as a potential proliferator of arboviral mosquitoes, encompassing analyzes of the use and occupation classes of the city subject to influence from these locations. This research has its technical instrument based on remote sensing techniques, which through Geographic Information Systems - GIS, allowed the generation of georeferenced and spatialized landscape information through maps with interference buffers to the urban land use classes. pointing out the risk of arboreal breeding (Zika, Chicungunya and Dengue) breeding sites in the areas of inactive oil and gas wells. The results show that the residential, commercial and service use class has the highest occupancy (50.3%) in the spaces that are susceptible to the influence of arboviral vectors from the inactive well areas. It is hoped that the work can assist the municipality in the organization and planning of strategies to combat arboviruses breeding areas of inactive oil and gas wells in the urban area of Mossoró/RN.Keywords: Environment; Health; Urban Occupation; Geoprocessing.

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Dominkovics, Pau, Carlos Granell, Antoni Pérez-Navarro, Martí Casals, Àngels Orcau, and Joan A. Caylà. "Development of spatial density maps based on geoprocessing web services: application to tuberculosis incidence in Barcelona, Spain." International Journal of Health Geographics 10, no. 1 (2011): 62. http://dx.doi.org/10.1186/1476-072x-10-62.

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