Remote Sensing Monitoring of Pasture Growth Using the Coherence Characteristics of InSAR Technology

Grassland resources play a crucial role as significant assets on Earth, exerting vital functions in carbon cycling, soil conservation, water resource management, and climate regulation. However, in recent years, excessive human exploitation and various pest infestations have led to the gradual desertification of existing grasslands. Therefore, it is imperative to conduct real-time monitoring and effective management of these resources. This study employs synthetic aperture radar (SAR) images to monitor and analyze the pasture status in the steppe region. In contrast to conventional monitoring methods, this approach offers a wide monitoring range and an extended observation period. Additionally, it leverages the advantages of SAR data, such as its independence from weather conditions compared to optical imagery. By calculating the coherence index using SAR data and combining it with optical imagery, we analyze the growth conditions of pasture in the study area. The research demonstrates a strong correlation between the variations in coherence index regions and the growth trend of pasture. For the issue of weather interference in optical imagery acquisition, the coherence index derived from SAR imagery can fully substitute for optical imagery in steppe analysis.