A new FAO land cover product [flyer
the "Global Land Cover SHARE (GLC-SHARE), Beta-Release 1.0
database of year 2014
" has been launched [FAO
]. It brings global land cover data under one roof and represents the
most-reliable global view of planetary land cover assembled to-date
(Burundi, Democratic Republic of Congo, Egypt, Eritrea,
Kenya, Rwanda, Somalia, Sudan, Tanzania and Uganda) can be downloaded
is a stand alone application that integrates land cover mapping,
change detection and validation functions. It allows delineations from
satellite imagery using object-based classification techniques.
LCCS3: towards LCCM
3 of LCCS builds upon the Land Cover Classification Model (LCCM)
developed by using the Unified Modeling Language (UML). LCCM allows creating
classes of land cover through an object-based approach.