ABSTRACT: Automatic land cover change detection via remotely sensed imagery has a wide application in the area of LUCC research, nature resource and environment monitoring and protection. Under the condition that one time (T1) data is existed land cover maps, and another time (T2) data is remotely sensed imagery, how to detect change automatically is still an unresolved problem. This paper developed a land cover parcel-knowledge guided method for automatic change detection under this situation. Firstly, the land cover map in T1 and remote sensing images in T2 were registered and superimposed precisely. Secondly, the remotely sensing knowledge database of all land cover classes was constructed based on the unchanged parcels in T1 map. Thirdly, guided by parcels in T1 land cover map, obtained RS image statistical information corresponding to the parcel in land cover map. Finally, land cover changes were detected and the change parcel was recognized through the automatic matching between the database of land cover classes and the extracted statistics of parcel. Experimental results and some actual applications show the efficiency of this method. 1. INTRODUCE To accurately and quickly obtain the space-temporal information of land cover change by Remote Sensing is the key technology of resource and ecological environmental monitoring and the international LUCC research, and it ha
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