ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-2/W2, 147-153, 2015
https://doi.org/10.5194/isprsannals-II-2-W2-147-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
19 Oct 2015
IMPLEMENTATION OF OPEN-SOURCE WEB MAPPING TECHNOLOGIES TO SUPPORT MONITORING OF GOVERNMENTAL SCHEMES
B. R. Pulsani Telangana State Remote Sensing Applications Centre, 8th Floor, B Block, Swarnajayanti Complex, Ameerpet-38, India
Keywords: Web GIS, Open Source, SharpMap, C#, ASP.NET, Government Schemes and Programs Abstract. Several schemes are undertaken by the government to uplift social and economic condition of people. The monitoring of these schemes is done through information technology where involvement of Geographic Information System (GIS) is lacking. To demonstrate the benefits of thematic mapping as a tool for assisting the officials in making decisions, a web mapping application for three government programs such as Mother and Child Tracking system (MCTS), Telangana State Housing Corporation Limited (TSHCL) and Ground Water Quality Mapping (GWQM) has been built. Indeed the three applications depicted the distribution of various parameters thematically and helped in identifying the areas with higher and weaker distributions. Based on the three applications, the study tends to find similarities of many government schemes reflecting the nature of thematic mapping and hence deduces to implement this kind of approach for other schemes as well. These applications have been developed using SharpMap Csharp library which is a free and open source mapping library for developing geospatial applications. The study highlights upon the cost benefits of SharpMap and brings out the advantage of this library over proprietary vendors and further discusses its advantages over other open source libraries as well.
Conference paper (PDF, 884 KB)


Citation: Pulsani, B. R.: IMPLEMENTATION OF OPEN-SOURCE WEB MAPPING TECHNOLOGIES TO SUPPORT MONITORING OF GOVERNMENTAL SCHEMES, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-2/W2, 147-153, https://doi.org/10.5194/isprsannals-II-2-W2-147-2015, 2015.

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