Remote sensing dynamic monitoring of land use could detect the change information of land use and update the current
land use map, which is important for rational utilization and scientific management of land resources. This paper
focused on the technological procedure of land use dynamic monitoring using multi-temporal remote sensed data,
including the process of multi-temporal remote sensed images, the information classification and information extraction
from remote sensing imagery, and analysis of land use changes. Based on multi-temporal remote sensed imagery of
three periods in 1954, 1998 and 2002, Yangzhou city was chosen as the study area, and extraction after classified
method had been used to monitor land use changes during 1954 to 2002. While classifying, the object-oriented method
was used to extract features from different temporal imagery. The extraction results showed that the residential land in
Yangzhou city increased largely from 9.72 km2 to 21.35km2, and the arable land decreased a great deal from 23.99 km2
to 9.64 km2. Urban expansion was toward to east. Finally, the main driving forces were analyzed, and multivariable
linear regression model was used to explore the primary and secondary forces.
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