Assessment of open source GIS software for water resources management in developing countries

Chen, Daoyi; Shams, Shahriar; Carmona-Moreno, C.; Andrea, Leone

doi:10.1016/j.jher.2010.04.017

Cited by 74 publications

(44 citation statements)

References 5 publications

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“…As user interface of the ADYS toolbox, the Sextante toolbox is a Java-based framework and processes vector and raster data with several desktop GIS tools. Its functionalities can be enhanced with GIS functions of other programs (Chen et al, 2010;Hugentobler, 2008).…”

Section: Developing Open Spatial Analysis Tools For the Activitiesmentioning

confidence: 99%

Developing an open geographic data model and analysis tools for disaster management: landslide case

Aydınoğlu

Bilgin

2015

Nat. Hazards Earth Syst. Sci.

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Abstract. Disaster management aims to reduce catastrophic losses of disasters. Geographic information technologies support disaster management activities for effective and collaborative data management considering the complex nature of disasters. This study with an original conceptual approach aims to develop interoperable geographic data model and analysis tools to manage geographic data sets coming from different sources. For landslide disaster, 39 scenario-based activities were analysed with the required data according to user needs in a cycle of activities at mitigation, preparedness, response, and recovery phases. An interoperable geographic data model for disaster management (ADYS), enabling upto-date exchange of geographic data, was designed, compliant with the standards of ISO/TC211 Geographic Information/Geomatics, Open Geospatial Consortium (OGC), and the Turkish National GIS (TUCBS). An open source and free analysis toolbox was developed and tested in the case study of activities such as landslide hazard analysis and a disaster warning system to support the Provincial Disaster

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Section: Developing Open Spatial Analysis Tools For the Activitiesmentioning

confidence: 99%

Developing an open geographic data model and analysis tools for disaster management: landslide case

Aydınoğlu

Bilgin

2015

Nat. Hazards Earth Syst. Sci.

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“…The agile QGIS cartographic editing tools of QGIS and the ability to quickly and easily extend its functionality by developing new plug-ins in the Python programming language adapted to the aims pursued justifies the adoption of this decision [16,40,41].…”

Section: Automatic Classification Of Lwd Using Fossgis Toolsmentioning

confidence: 99%

Survey and Classification of Large Woody Debris (LWD) in Streams Using Generated Low-Cost Geomatic Products

Ortega-Terol¹,

Moreno

Hernández-López

et al. 2014

Remote Sensing

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Water authorities are required to have a survey of large woody debris (LWD) in river channels and to manage this aspect of the stream habitat, making decisions on removing, positioning or leaving LWD in a natural state. The main objective of this study is to develop a new methodology that assists in decision making for sustainable management of river channels by using generated low-cost, geomatic products to detect LWD. The use of low-cost photogrammetry based on the use of economical, conventional, non-metric digital cameras mounted on low-cost aircrafts, together with the use of the latest computational vision techniques and open-source geomatic tools, provides useful geomatic products. The proposed methodology, compared with conventional photogrammetry or other traditional methods, led to a cost savings of up to 45%. This work presents several contributions for the area of free and open source software related to Geographic Information System (FOSSGIS) applications to LWD management in streams, while developing a QGIS [1] plugin that characterizes the risk from the automatic calculation of geometrical parameters.

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“…Where generic skills are taught in relation to scripting, interpreted languages, and command line interfaces, the needs of participants to acquire abilities that can be applied at work from day one may be readily met using any suitable mixture of open source and proprietary software. Steiniger and Bocher (2009) and Chen et al (2010) give recent overviews of open source GIS software, but with constraints on what they see as general suitabilities and functionalities. It seems that their preference for applications rather than component stacks has affected the ways in which software is perceived.…”

Section: Software Component Stacks For Geocomputationmentioning

confidence: 99%

“…Some of the insights from our earlier work in fact fed directly into the development of interfaces between the open source GRASS GIS and the R statistical language and environment, as initially This practical approach to the conduct of research is noted by Sui and DeLyser (2011) in the context of academic geography, which one might hope will make helpful contributions in the future after a period of discriminating against quantitative methods even where they were appropriate. Recent years have seen surveys of the potential of open source geospatial software in areas as diverse as health geographics and spatial epidemiology (Fisher and Myers, 2011;Vanmeulebrouk et al, 2008;Yi et al, 2008), landscape ecology (Steiniger and Hay, 2009), water resources management (Chen et al, 2010), and courseware for GIS education (Schweik et al, 2009). Roberts et al (2010) provide much insight into the ways in which open source and proprietary software solutions intermesh in ecological geoprocessing.…”

Section: Introductionmentioning

confidence: 99%

Geocomputation and Open Source Software: Components and Software Stacks

Bivand

2011

SSRN Journal

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Geocomputation, with its necessary focus on software development and methods innovation, has enjoyed a close relationship with free and open source software communities. These extend from communities providing the numerical infrastructure for computation, such as BLAS (Basic Linear Algebra Subprograms), through language communities around Python, Java and others, to communities supporting spatial data handling, especially the projects of the Open Source Geospatial Foundation. This chapter surveys the stack of software components available for geocomputation from these sources, looking in most detail at the R language and environment, and how OSGeo projects have been interfaced with it. In addition, attention will be paid to open development models and community participation in software development. Since free and open source geospatial software has also achieved a successively greater presence in proprietary software as computational platforms evolve, the chapter will close with some indications of future trends in software component stacks, using Terralib as an example.

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Assessment of open source GIS software for water resources management in developing countries

Cited by 74 publications

References 5 publications

Developing an open geographic data model and analysis tools for disaster management: landslide case

Developing an open geographic data model and analysis tools for disaster management: landslide case

Survey and Classification of Large Woody Debris (LWD) in Streams Using Generated Low-Cost Geomatic Products

Geocomputation and Open Source Software: Components and Software Stacks

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