Ef. Lambin et Ah. Strahler, INDICATORS OF LAND-COVER CHANGE FOR CHANGE-VECTOR ANALYSIS IN MULTITEMPORAL SPACE AT COARSE SPATIAL SCALES, International journal of remote sensing, 15(10), 1994, pp. 2099-2119
Change-vector analysis in multi-temporal space is a powerful tool to a
nalyse the nature and magnitude of land-cover change. The change vecto
r compares the difference in the time-trajectory of a biophysical indi
cator for ve time periods. This change detection method is applied to
three remotely-sensed indicators of land-surface conditions-vegetation
index, surface temperature and spatial structure-in order to improve
the capability to detect and categorize subtle forms of land-cover cha
nge. It is tested in a region of West Africa, using multi-temporal Loc
al Area Coverage imagery obtained by the Advanced Very-High Resolution
Radiometer on NOAA-9 and NOAA- 11 orbiting platforms. The three indic
ators show a low degree of redundancy and detect different land-cover
change processes, which operate at different time scales. Change vecto
r analysis is being developed for application to the land-cover change
product to be produced using NASA's Moderate-Resolution Imaging Spect
roradiometer instrument, scheduled for flight in 1998 and 2000 on EOS-
AM and -PM