Conclusion and Discussion
In this paper, we report some improvementsmade to the tradifor
all kinds of change types exceeded 0.7. tional change vector analysis in two aspects, determination of the threshold of change magnitude and change type discrimi- 0.7, respectively, for all kinds of change types. The results sugnation.
When the improvedmethodwas employed for the Hai- gest that the improved CVA is effective and has potential in
dian District, Beijing with Landsat TM imagery acquired in 1991 land-use/land-cover change detection.
and 1997, the Kappa coefficients of “change/no-change” detec- Good data quality (similar acquisition dates in different
tion and “from-to change” detection were 0.87 and greater than years and cloud-free) and image radiometric normalization