Progress and prospect of cultivated land extraction research using remote sensing

Rapidly and accurately extracted cultivated land quantity and distribution information is the basis for studying the spatiotemporal patterns and ecological effects of cultivated land, and there is an urgent need for timely formulation of corresponding countermeasures for food problems. In recent years, the advancement of remote sensing technology has provided the possibility for the rapid acquisition of cultivated land information owing to the macroscopic, real-time, and economical properties of the technology. This paper summarized the research progress of the application of remote sensing technology in the extraction of cultivated land, commonly used data sources, classification algorithms, and temporal and classification objects in the research of domestic and foreign cultivated land extraction methods, and discussed the advantages and disadvantages of the above four categories in the process of extracting cultivated land information. With the increasing number of sensors, the temporal resolution, spatial resolution, and spectral resolution of remote sensing images are continuously improving, and the classification algorithm is constantly updated. Based on multi-source remote sensing data, the integration of intelligent classification algorithms for identifying cultivated land will become an inevitable development trend