Land use cover change (LUCC) provide important information for environmental management and planning. It is one of
the most prominent characteristics in globe environment change, and not only limited by natural factor, but also affected
by the factor of social, economics, technique and histories. Traditionally, field surveys of land cover and land use are
time consuming and costly and provide tabular statistics with out geographic location information. Remote sensing and
GIS are the most modern technologies which have been widely used in the field of natural resource management and
monitoring. Change detection in land use and updating information on the distribution and dynamics of land use have
long term significance in policy making and scientific research. In this paper, we use multistpectral images of Spot period
two different of time 2002 and 2007 for detection on LUCC base on Scale Invariant Feature Transform (SIFT) method.
An automatic image matching technique based on SIFT was proposed by using the rotation and scale invariant property
of SIFT. Keypoints are first extracted by searching over all scales and image locations, then the descriptors defined on
the keypoint neighborhood are computed. The proposed algorithm is robust to translation, rotation, noise and scaling.
Experimental results, urban is the most part of Huangpi area which have been changed.