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.
INTRODUCTION
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
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.