Open Data and Collaboration

A Prototype of open source tool for water resources management in developing countries

Session Type: 
Tech Session
Presenter(s): 
Dr Naga Coulibaly, University of Abobo-Adjame, Côte d'Ivoire
Prof Umesh Bellur

The development of almost all socio-economic sectors depends on water resources. Indeed, water resources are mobilized to satisfy various uses like domestic, agricultural, industrial, livestock, tourism, leisure etc. In developing countries, water resources are not available in sufficient quantity and quality anytime, anywhere. This situation is worsened by the pressure induced by socioeconomic and population growth. It's therefore necessary to create the conditions for sustainable access to water for different users. Such approach must be supported by tools which allow management and analysis of current and historical data. The present paper describes a Spatial tool prototype for the integrated water resources management for various uses for developing countries. The tool assesses water vulnerability to pollution, water demand and soil erosion in a watershed. Design with Unified Modeling Language (UML), the tool integrates a socio-economic and environmental database for water resources assessment, management and planning at a watershed level. It is developed with Quantum GIS 1.6 shell enhanced with GRASS functionalities. Quantum GIS performs well under very poor computing conditions; this will make this tool accessible to all water resources actors. The tool uses PostGreSQL database with PostGIS analysis tools. The system was used to study the Baoule watershed in North-West of Côte d'Ivoire (West Africa). This paper presents the system and the results of the application study. This Spatial Decision Support System (SDSS) aims to be an institutional spatial tool for decision making for concertation between all the water resource actors (users, managers) for a sustainable management of water.

Speaker Bio: 

Ph.D. in Environment Management in 2009, Assistant at University of Abobo-Adjame and Geomatic Consultat for the Food an Agriculture Organisation / Abidjan.

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Beyond vectors: Adapting remote sensing research for environmental monitoring with open source hardware and software: Citizen mapping the BP oil spill with balloons and kites

Session Type: 
Tech Session
Presenter(s): 
Stewart Long, Public Laboratory
Shannon Dosemagen

Grassroots Mapping (grassrootsmapping.org), an online network of participatory, community-based mapping projects, was established in early 2010, just prior to the BP Gulf of Mexico disaster. In response to the spill, the grassroots mapping community worked with the Louisiana Bucket Brigade, a New Orleans based non-profit, to carry out volunteer mapping trips to affected areas of the Gulf Coast. Using low cost kites and balloons with consumer point and shoot cameras attached, volunteers with minimal training collected imagery by land and sea beginning in April 2010. Tens of thousands of images were collected over this period of time on over 50 mapping missions. The images were processed, orthorectified, and stitched into maps using GDAL and other FOSS4G tools. A new FOSS4G tool for processing raw aerial imagery into maps, Cartagen Knitter, was developed for this project by Jeffrey Warren of the MIT Center for Future Civic Media. This collaborative effort has resulted in dozens of high resolution maps made available to the public for use without restriction. Typical map resolutions range from 3-7 cm per pixel compared to 100 cm per pixel for Google Maps or similar online map products. Additional benefits include data ownership, temporal relativity, and a greater understanding of related issues by volunteers due to the participatory nature of the effort.n

Speaker Bio: 

Neogeography and the desire to create on-demand aerial image maps inspired Stewart Long to found Gonzo Earth, an aerial imaging service based company focused on acquiring and/or remotely processing aerial image data with a focus on large scale maps. High resolution orthomosaic projects such as an 8 Gigapixel 2009 map of Burning Man illustrate the capability of the custom techniques and present technology.

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Spatial Processing using JEQL

Session Type: 
Tech Session
Presenter(s): 
Martin Davis, Tsusiat Software

JEQL is a simple yet powerful language designed for expressing spatial (and non-spatial) processes. It follows the Table-Oriented Programming paradigm and provides a SQL-like query language. This talk gives an overview of JEQL and show some examples of its use.

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Advancing global marine biogeography research with open source GIS software and cloud computing

Session Type: 
Academic Session
Presenter(s): 
Mr Jesse Cleary, Duke University
Mr Ei Fujioka

 

Speaker Bio: 

Jesse Cleary is Research Analyst in the Marine Geospatial Ecology lab at Duke University.  He has a diverse GIS background encompassing the geospatial web, spatial analysis, database design, and programming for terrestrial, meteorological, and oceanographic applications.

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HydroLiDAR: A open source GIS towards accessing, visualization and modeling of LiDAR

Session Type: 
Academic Session
Presenter(s): 
Dr Ping Yang, Idaho State University
Dr Daniel Ames

 

With recent improvements in equipment, reductions in costs, and the advent of massive data storage and sharing systems for Light Detection and Ranging (LiDAR) data, the need has increased for open source geographic information systems to support LiDAR point cloud data . This study presents an approach and initial open source GIS tool for accessing, processing, visualizing and modeling LiDAR data. Based on the open source GIS software foundation platform, DotSpatial, a software prototype, HydroLiDAR, has been designed for importing and visualization of LiDAR data in the format of LAS files. Terrain parameters such as slope and aspect are calculated through a point-based algorithm and a visualization scheme will be discussed for 2 dimensional visualization of terrain characteristics. Watershed analysis including stream network delineation modeled directly based on the point cloud through an up-climbing and downhill-decline algorithm will also be presented in this study.

 

Speaker Bio: 

Ping Yang currently is conducting postdoctoral research on Open Source GIS towards LiDAR at Idaho State University, Dr. Yang got his Ph.D. in GIS at Wuhan University, China in June 2009. His research interests include Hydrologic modeling with LiDAR, Multi-resolution geographical representation, Spatio-temporal modeling, etc.

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