Analysis of seasonal variation in the Niger River interior delta using satellite data

摘要: Abstract The Niger River is one of the most important sources water supply for human consumption and agriculture in Western Africa. Two Landsat‐5 Multispectral Scanner (MSS) images, corresponding to dry wet seasons, over a selected area interior delta were classified produce land cover/land use map that reflects geo‐hydrological units this area. To classify satellite data, training statistics generated using clustering algorithm with parameter values maximize separability among spectral classes. Both season images are required obtain an accurate classification evaluation hydrological parameters. spatial resolution MSS proved be adequate kind work, since all major cover types geographic features correctly recognized.