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Land use and land cover changes have been cited as one of the
factors contributing to global climate change. Moreover Land use
and land cover changes are good indicators of overall landscape
change, because they affect the ecology and economic viability of
human being. The application of remote sensing in Forest cover
changes and biomass studies have been envisaged as an alternative
to field based forest inventories and observations which tend to be
limited to small sampling over continuous spatial dimension,
therefore the information needed in the unsampled areas have to be
obtained by interpolation techniques. This work tries to tackle the
difficulties assorted with ground data capture in vast Miombo
woodlands of Tanzania through the use of geoinformatic techniques
as decision tool in addressing challenges of land use and land
cover changes.
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