Topics: Geographic information system, Remote sensing, Management Pages: 5 (1406 words) Published: September 22, 2014
Resource management in Kenya is a key aspect that is observed by various state organs to ensure they are well managed. These resources range from the available land for settlement to the recently discovered minerals such as the oil in Turkana region. The status of these resources is usually assessed by means of aerial photographs and intensive ground trothing. Maps are produced on GIS environment making it possible to store, retrieve and analyse various types of information very quickly. The maps together with the digitized information provide important tools to the management of the resources both natural and man-made thus providing useful overviews for planning, implementation and monitoring. This information is vital for the government and other stake holders who are involved in the management, exploitation and control of these resources.

Land is one of the key resources that its management is through the adoption of the GIS. The processes of administering and managing land over the last over 100 years has mainly relied on a paper-based manual system. The hundreds of records generated have since posed a great challenge, and unbearable to effectively refer to records and retrieve them. As a result therefore, the entire process has become inefficient, time consuming, unreliable, restrictive, occasioned repetitiveness, unaccountable and costly, undermining efficiency and effectiveness in service delivery by the government departments that are responsible for this process. In order to address these daunting challenges owing to the legacy Paper-Base Systems dating back into the 1900, there is need for computerisation in terms of allocation and management. This involves converting the existing land records into digital records that will be used electronically while the paper records are stored into an archive. The electronic records will be used in day to day transactions, while the archive records are preserved and will only be used as reference records. In terms of land allocation and apportioning, the Geographic Information System should be applied. This will give the accuracy and it will make the allocation process to be more effective and cost effective. Land in Kenya is regarded as the most important asset and it serves a wide range of activities ranging from the farming, settlement to being the primary factor of production for industries and other processing businesses. Land has been always the contentious issue ever since the time of independence. The major problem in Kenya is the lack of a management plan owing to lack of reliable and up-to-date comprehensive land demarcation maps. Most of the stakeholders don’t have access to information on the changes that have occurred in the lands department in Kenya over period of time.

The aim of this proposal is to show how GIS specialist are able to manage captured and processed survey data concerning land distribution and allocation within the associated organisation through the development of approaches to achieve information that is “GIS-ready” and eventually to disseminate the end product geospatial data over the Internet using current geospatial handling technology via all appropriate standards. Throughout the research the main objectives can be given as follows: To review the type and format of raw and processed survey and mapping data for the land distribution which have been stored for a long time? To construct a survey data management system to facilitate the combination of data and information from raw and processed survey data from different seamless databases and sources using GIS technique. To design a flow line and modus operandi to remodel and transform the managed survey data into GIS-ready information using contemporary geographic information application and technology. To develop an on-line geographic information system to facilitate the delivery of geospatial data via the Web to meet the needs...

References: • Billgren, C. and H. Holmén (2008). "Approaching reality: Comparing stakeholder analysis and cultural theory in the context of natural resource management." Land Use Policy 25(4): 550-562.
• Campbell, D., D. Lusch, T. Smucker and E. Wangui (2005). "Multiple Methods in the Study of Driving Forces of Land Use and Land Cover Change: A Case Study of SE Kajiado District, Kenya." Human Ecology 33(6): 763-794.
• Chen.K. (2002). "An approach to linking remotely sensed data and areal census data." International Journal of Remote Sensing 23(1): 37 - 48.
• Congalton, R. G. (1991). "A review of assessing the accuracy of classifications of remotely sensed data." Remote Sensing of Environment 37(1): 35-46.
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