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Remote Sensing and GIS for Good Governance: Analysis of High Spatial Resolution Ikonos Imagery for Surveying Agricultural activities in the city of Ouagadougou, Burkina Faso

Ilona Kemeling
Laboratory for Geo-information and Remote Sensing, Wageningen University
P.O. Box 47, 6700 AA Wageningen, The Netherlands
Tel: +31317 474 640; Fax: +31317 474 567;
Email: Ilona.Kemeling@Student.GIRS.WAU.NL

Steven M. de Jong & Pieter B.M. van Teeffelen
Faculty of Geographical Sciences, Utrecht University
P.O. Box 80.115, 3508 TC Utrecht The Netherlands
Tel: +3130 253 2749; Fax: +3130 253 1145;
Email: s.dejong@geog.uu.nl

Leo M. van den Berg & Gerbert J.Roerink
Alterra, Wageningen University & Reseacrh Centre
P.O. Box 47, 6700 AA Wageningen, The Netherlands
Email: l.m.vandenberg@alterra.wag-ur.nl, G.J.Roerink@Alterra.wag-ur.nl


Abstract
In West African cities, urban and peri-urban agricultural activities form a major economic activity for a significant group of inhabitants. Intensive and commercial-oriented horticulture is one of the most important activities in the cities such as Ouagadougou and Bamako. Horticulture activities form a fragile balance with waste management (city waste is used as manure for horticulture) and with other agricultural activities such as livestock raising. Local governments consider these agricultural activities as a loss of valuable city-space and often deny their economic importance. Consequently, horticulturists located within the city are often forced to stop their activities or to relocate their business to the urban fringe or beyond. Unfortunately, no well-organised resettlement programmes for these activities exist in the West African countries. The government does often not recognise the importance of such programmes due to a lack of awareness of the importance of horticultural activities in the cities as a widespread economic activity, in combination with city waste recycling. Often no reliable information is available on the extent of the horticultural activities in the city.

One of the objectives of this study is to use high-resolution satellite images to survey the agricultural activities in the cities and to use time-series of images to determine the spatial dynamics of these activities. Only since 1999, satellite images are available at a resolution of 1 to 4 m potentially enabling us to monitor these small scale agricultural lots. Previous available images (SPOT-XS and Landsat TM) having pixels of 20 meters or more do not provide sufficient detail to map these activities properly. In this study we investigated the value of high spatial resolution IKONOS imagery to survey agricultural activities within the city and at the urban fringe. IKONOS has a pixel size of 4 by 4 meters and has 4 spectral bands: blue, green, red and near infrared. Traditional spectral classification methods, based on ground truth sets and spectral differences between the crops, failed to identify individual activities. This was due to spectral overlap of the thematic land cover types. The agricultural activities occur mainly near water bodies because of irrigation requirements and near roads (pistes) to facilitate transport. Adding this type of GIS stored information to the classification process improved the results considerably.

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