Research interests center on coastal zone remote sensing, with a primary focus on mangrove forest dynamics and aquaculture mapping. One major line of work involves leveraging dense time-series satellite imagery to monitor the spatiotemporal changes of mangrove forests along China's coastline, evaluating conservation effectiveness and revealing long-term trends over the past four decades. Another core research theme is the large-scale mapping and change analysis of aquaculture, encompassing both land-based ponds and offshore mariculture across China and Southeast Asia. By integrating multi-source optical and radar data on cloud computing platforms such as Google Earth Engine, systematic frameworks have been developed to track aquaculture expansion over multi-decadal periods, uncovering spatial patterns, driving forces, and environmental implications of rapid coastal aquaculture development. In parallel, methodological research has been conducted on automated image classification, unsupervised segmentation optimization, and multi-source data fusion for high-resolution remote sensing imagery, aiming to improve the accuracy and scalability of land cover and land use mapping in complex coastal environments. The overarching goal is to harness remote sensing big data and advanced geospatial analysis to support sustainable management and conservation of coastal ecosystems and resources.