基于ZY-1 02D影像的白洋淀水域叶绿素a浓度遥感反演

白洋淀位于雄安新区的核心区域，是当前社会关注的焦点，对白洋淀水域进行水质监测是水污染防治的重要依据，对周边居民生活和当地经济发展具有重要意义。本文将ZY-1 02D AHSI高光谱影像与ZY-1 02D VNIC多光谱影像作为遥感数据源，分别进行了基于单一影像数据的单独反演与基于两种影像的联合反演，研究结果表明联合反演模型相较于基于AHSI的反演模型可以有效提高叶绿素a浓度的反演精度，三种反演模型中基于VNIC的反演模型精度最高，相较于以往学者的研究结果高光谱数据的优势未充分体现，说明对于白洋淀淀区的叶绿素a浓度反演空间分辨率有更大的影响，从而进一步将ZY-1 02D AHSI的36波段与ZY-1 02D VNIC融合，将空间分辨率提高至10 m，优化后的模型AURE与RMSE分别降低到13.62%、0.52 ug/L，进一步提高了叶绿素a浓度的反演精度。研究表明，ZY-1 02D影像数据在内陆水体水质监测中具有较好的适用性，利用模型算法提升高光谱数据的空间分辨率将是提高叶绿素a浓度反演精度的重要途经，本文研究成果对ZY-1 02D影像在白洋淀水域的水质监测与应用具有重要的意义。

Remote sensing retrieval of chlorophyll a concentration based on ZY-1 02D images in Baiyangdian waters

Baiyangdian is located in the core area of xiong''an new area and is the focus of current social attention. Water quality monitoring of Baiyangdian water area is an important basis for water pollution prevention and control, and is of great significance to the lives of surrounding residents and local economic development. In the study, ZY-1 02D AHSI hyperspectral image and ZY-1 02D VNIC multispectral image are used as remote sensing data sources to carry out separate inversion based on single image data and joint inversion based on two kinds of images respectively. The research results show that the joint inversion model can effectively improve the inversion accuracy of chlorophyll a concentration compared with the inversion model based on AHSI. Among the three inversion models, the inversion model based on VNIC has the highest accuracy, Compared with the research results of previous scholars, the advantages of hyperspectral data are not fully reflected, which shows that it has a greater impact on the spatial resolution of chlorophyll a concentration inversion in Baiyangdian district. Therefore, the 36 band of ZY-1 02D AHSI is further fused with ZY-1 02D VNIC to increase the spatial resolution to 10m, and the optimized model aure and RMSE are reduced to 13.62% and 0.52 ug/L respectively, further improving the inversion accuracy of chlorophyll a concentration. The research shows that ZY-1 02D image data has good applicability in inland water quality monitoring. Using model algorithm to improve the spatial resolution of hyperspectral data will be an important way to improve the inversion accuracy of chlorophyll a concentration. The research results of this paper are of great significance to the water quality monitoring and application of ZY-1 02D image in Baiyangdian water area.