According to the fact that data missing problem often occurs during the study of long-term remote sensing dynamic monitoring of inland lake area, the authors tried to make up for the missing remote sensing images by utilizing the ESTARFM to combine with the MODIS data so as to simulate the missing Landsat images after 2000. On such a basis, the water index method was used to extract the lake area and shoreline so as to realize the long-term remote sensing dynamic monitoring of inland lake. Hongjiannao Lake in Inner Mongolia was selected as the study area. The method was tested by making up for the missing Landsat images from 1987 to 2018 with ESTARFM algorithm and extracting Hongjiannao Lake from all the images. Some conclusions have been reached: The MODIS and Landsat fusion images generated by the ESTARFM algorithm are ideal, which can effectively solve the problem of missing Landsat images after 2000. It is proved that the image obtained from the ESTARFM fusion can be applied to water extraction. In addition, time-series images with the fusion images are added to reflect the water changes more delicately when the water dynamic change is monitored, which contributes to the subsequent research. In addition, through the long-term remote sensing dynamic change monitoring of Hongjiannao, it is found that the lake changes generally show a shrinking stage, and the specifics can be divided into three stages: stability, sustained shrinkage and growth.
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2020, Vol. 32 
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