Cotton Mapping in Kenya: GPS-Based Data Collection – A Cost Comparison with High Resolution Satellite Imagery Mapping

Abstract

The main objective of this study was to carry out farm size auditing (verification) and provide a baseline data for a strategic information management system for mapping cotton in Kenya. It aimed to establish an accurate, updated and detailed database for all the cotton farmers working with Rift valley Products Limited (RVP). This study demonstrates the use of Global Position System (GPS) data collection methods and Geographic information system (GIS) to provide accurate, key and important information for decision making and planning. GIS based spatial analysis was conducted and the best locations for harvest collection centres were determined, based on the shortest and least cost path of delivery by the farmer. The maps produced have proven to be critical tools for the field officers for route planning when conducting field visits. This has led to a considerable cut in the cost of production. A cost comparison between GPS field data collection and use of a high resolution satellite image is given, implying that field data collection is still the most cost effective method of collecting accurate information, especially if the land parcels under consideration are small and segregated.