【摘 要】
：
China has a long and glamorous history and many sites in China are of great value in archaeological research.The ancients heavily depended on location and environments due to the low productivity.The
【机 构】
：
Institute of Remote Sensing Applications,Chinese Academy of Sciences,China;Joint Laboratory of Remot
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China has a long and glamorous history and many sites in China are of great value in archaeological research.The ancients heavily depended on location and environments due to the low productivity.The research analyzed the relationships between the archaeological sites and the environments.The 231 archaeologically important sites and 162 non-sites were taken as important references to deduce spectral and geomorphic characteristics such as geomorphology,water bodies and slope from multi-source data.These characteristics and terrain factors were corre-lated with the distribution of archaeological sites on which the predictive model was built.Then the predictive model correlated site locations with multiple environmen-tal variables by logistic regression,and it was also used for Luoyang Basin where the model was proved to have high prediction accuracy.Especially it is likely to increase the efficiency and precision of predictive modeling by improvement of sample data collection and more collection of more thematic layers.The results indicate that altitude,slope and the distance to river were the mainly environmental parameters that influenced the distribution of archaeological sites.By comparing the predictive result with the location of known archaeological sites,the accuracy of model in Taihu Lake Basin can reach 87.5%.Future work includes site surveys in areas that have high potential if conditions allow.This predicting technology based on RS and GIS is cost-effective,flexible and timely,and more importantly it can be applied in vast regions,and reduce the disturbance and limit the damage to archaeological site as much as possible.
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