Full text: Actes du Symposium International de la Commission VII de la Société Internationale de Photogrammétrie et Télédétection (Volume 1)

  
  
  
  
  
Table 1. 
REGION FOREST AREA (ha) AREA OF REGION RELATIVE $ 
"000" ha FOREST COVER 
Central 271,975 1,323.2 0.466 
Coast 120,770 8,311.4 0.207 
Eastern 141,535 13,451.2 0.243 
Nairobi 2,155 70.0 0.004 
Nyanza 3,580 1,009.2 0.006 
Rift Valley 765,950 17,763.4 1. 314 
Western 64,195 660.4 0.110 
N. Eastern 0 15,711.6 0 
KENYA 1,370,160 58,300.0 2,55 
  
boundaries were much more clearly defined. For a number of areas, only 
wet season scenes were available. With the addition of mapping from 
coverflights, the errors were estimated at 10,000 ha. giving a total of 
30,000 hectares or 2.3%. Combining all sources of error, an estimated 
3.6% error was felt to be acceptable for a country wide survey. 
CONCLUSION 
The extent to which remote sensing data has been useful in gathering 
information on forest reserves has been demonstrated. The first estimate 
of the actual forest cover and the established depletion rates and trend 
in the critical forest areas form a sound basis for continued research. 
Additional information on forest types, species diversity, abundance and 
other ecological parameters is required for optimal utilization of the 
forest resource. It was not possible to gather this information because 
of limitations of the Landsat sensor resolution. 
The information was obtained within one year within the constraints 
of inconsistent supply of enhanced imagery, constant cloud cover in some 
areas and limited access to computer facility. But of major concern is 
that the gathered data is not yet being readily accepted within the 
running national developmental programmes. 
ACKNOWLEDGEMENTS 
The Regional Remote Sensing Facility here in Nairobi made available 
much of the satellite imagery used for this study as well as some equipment 
used for analysing the imagery. The Canadian International Development 
Agency (CIDA) through the Canada Centre for Remote Sensing (CCRS) provided 
funds and computer time for the digital analysis. The French Government 
under existing French Technical Assistance to the Government of Kenya in 
remote sensing applications provided staff and technical support. Permission 
to have this paper published was provided by the Project Manager - K.R.E.M.U. 
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