| dc.description.abstract | The usefulness of remote sensing in Agriculture
was investigated in this project. Its goal was to examine
the role of remote sensing in the construction of an area
frame for purposes of obtaining agricultural statistics
and mapping the distribution of coffee, tea and sisal.
The area frame constructed was part of Kiambu District
in Central Province Kenya.
Background information discussed includes, the
technology of remote sensing and its physical basis, the
Landsat mission, Landsat data processing and interpretation,
and the theory of sampling concepts.
Aerial and ground photography was used to ground
verify Landsat imagery and to aid in the identification
and photo interpretation of crops. A simple and inexpensive
procedure in the Landsat image enhancement, processing
and in the preparation was used . Stratification of the area
frame into land cover categories based on the Anderson
classification scheme was achieved.
Results indicated that classification of large scale
of crops by crop type was possible on Landsat Imagery.
A land use map based on land cover was generated and paper
formats of sampling units were constructed for statistics
gathering in small scale cultivations.
Finally the project outlined those problems and
prospects that were found to be associated with using
remote sensing in the construction of an area frame in a
developing country like Kenya | en |
