For improving the reliability and accuracy of lake boundary integration information from remote sensing images andreducing human error, this paper put forwards a weighted average algorithm for integrating of the border information extracted byusing the multi-temporal remote sensing images, and a processing approach of error interzone correction which can integrate thevarious temporal information effectively and improve the reliability of extracting the lake border information. According to thisfusion algorithm the area of Lake Hulun is 1928.35km². Using the geostatistics theory to validate the errors, the area is 1929.85km².The results illuminated that the ratio of nugget to sill is less than 25%, and the spatial correlation of the corrected data is superior tothat of the integrated data. Furthermore the spatial variation range has been reduced effectively, and the extent of fitting thetheoretical model is better in the corrected data than the original data.