(1) 中国科学院烟台海岸带研究所

With high temporal and spatial resolutions, HJ-1 CCD data can be used to dynamically monitor Ulva prolifera disaster on a large scale. Atmospheric correction is a basis for Ulva prolifera information extraction, but there is a difference between different atmospheric correction methods when they are used to process the same image. Based on the HJ-1 satellite images generated during the explosive growth period of Ulva prolifera in the central and southern Yellow Sea, the research carries out atmospheric correction by three methods including FLAASH, 6S and COST in a bid to eliminate atmospheric effects, and then extracts Ulva prolifera using NDVI threshold method. By marking off multiple study areas and calculating or analyzing a number of statistics such as spectrum, NDVI, class space, mixed pixel, threshold sensitivity and extraction results, the research compares the effect of three atmospheric correction methods on Ulva prolifera monitoring and provides assistance for the subsequent quantitative monitoring of Ulva prolifera. According to the result, when NDVI threshold method is used for Ulva prolifera information extraction, COST achieves a good monitoring effect, followed by FLAASH and 6S.