Remote Sensing & GIS Based Spatial Data Evaluation for Rural Development Planning in Gumine District, Simbu Province, PNG

Authors

  • Nebare Poi Author
  • Tingneyuc Sekac Author
  • Sujoy Kumar Jana Author
  • Lewi Kari Author
  • Dilip Kumar Pal Author

DOI:

https://doi.org/10.63900/q7ez0q43

Keywords:

Database, GIS, Development Planning, Rural, Buffering

Abstract

Decentralised planning at the district LLG level aimed at implementing directives of National Government remains the core responsibility of the District Development Authorities (DDA). This leads to the availability of up to date baseline data to service the needs of planners and administrators. A decision with regards to planning in the right location and targeting the right people requires a sophisticated computer-based georeferenced database, incorporating charts and maps to service the needs of planners and decision makers. The current research focuses on utilising Remote Sensing and GIS technologies to analyse infrastructural data for roads, bridges, health facilities and schools based on their conditions, availability, accessibility to the community (village), distribution and affordability at the local level Governments (LLGs) of Gumine District. Both village-level spatial and non-spatial data were collected and integrated into a GIS environment for information output and delivery. The output results from analysis will serve as a District information tool to help uplift the existing service delivery functions and also enhance better planning and resource mobilisation rendering in knowledgeable decision-making at micro level. The main focus is to identify gaps, inadequacy and difficulty in accessibility to built-up infrastructures. These service providers at the village level were all evaluated. The database, maps and charts were all put out for public viewing as a means of information communication for proper decision-making and efficient planning to achieve accelerated development. A GIS-based geospatial data infrastructure was generated as a micro administrative unit for sustainable development planning and execution.

Published

2017-07-24

How to Cite

Remote Sensing & GIS Based Spatial Data Evaluation for Rural Development Planning in Gumine District, Simbu Province, PNG. (2017). Melanesian Journal of Geomatics and Property Studies, 3(1). https://doi.org/10.63900/q7ez0q43

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