Research Methodology - Historical Land Use/Land Cover Classification Using Remote Sensing - page 146

Change detection products

Thematic map/s of three possible change-
types

Natural areas to bare areas No change Bare areas to cultivated areas

Fig. 5.60 The pre-classification change detection mapping concept that was performed for the
two remotely sensed data sets (MSS-June-1975 and TM-August-2007)

(Singh 1989 ). Disadvantages that reduce the implementation of this approach are:
cost; consistency; and error propagation (Lunetta 1999 ).
The post-classification change detection approach for the ERB (Fig. 5.61 ) was
based on the two previously supervised classified remote sensing data sets (TM-
May-1987 and TM-May-2007) using the MLC-algorithm (see Sect. 5.7.1.2 ). The
resulted five general classes that provided input in the change detection were:
cultivated and managed terrestrial areas; natural and semi-natural terrestrial veg-
etation; artificial surfaces and associated areas; bare areas; and natural water-
bodies (see Sect. 5.8 ). The resulting 1987 and 2007 classification results were used
as inputs for classification, then post classification, followed with change detection
statistics under the ENVI-program with the version 4.6. This yielded a change
image (change matrix), in which 20-types of change between the two dates were
potentially possible (see Chap. 6.3.2 ) .