Abstract: In recent decades, multi-temporal remote sensing image processing and change detection had been a relatively active research direction in the field of remote sensing. Forests belonged to the largest ecosystems on land and their changes had important implications for the global ecological environment, biodiversity and climate change. Obtaining timely and accurate information on forest dynamic changes would be of great significance for estimating carbon resources and achieving sustainable management of forest resources. In this paper, through a large number of related literature at home and abroad, the forest change detection technology had been systematically compared and summarized, and it was summarized into six major categories. A detailed discussion was made on the basic principles and characteristics of various methods and their application scope,advantages and disadvantages,aiming to provide a certain reference method for forest management.