基于混合像元分解的池塘养殖动态遥感监测
Remote sensing monitoring of the spatio-temporal changes in pond aquaculture based on mixed pixel decomposition
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摘要: 水产养殖是人类获取食品的重要途径,养殖池塘是水产养殖的主要生产方式之一。珠江三角洲是我国南方重要的渔业养殖基地,在过去30 a间,其空间分布发生巨大变化。本研究面向中山市及其邻近区域,基于Landsat和Sentinel-2卫星遥感数据,使用线性混合像元分解方法进行混合像元分解,通过目视对比分析,选取了70%及以上水体丰度对应的归一化水体指数阈值范围,获取了1990—2021年典型养殖池塘的时空分布。研究结果显示,中山市及邻近区域的养殖池塘在1990年以来经历了先增加后减少的过程; 中山市及邻近区域1990—2000年养殖池塘面积增加了近一倍,2000—2010年相对平稳,2010—2021年养殖面积则减少了近50%。本研究可减少混合像元对于养殖池塘监测的影响并为大湾区渔业科学养殖与可持续发展提供参考。Abstract: Aquaculture is an important way for humans to obtain food, and aquaculture ponds are a major production mode of aquaculture. The Pearl River Delta, as an important aquaculture base in southern China, has undergone great changes in its spatial distribution in the past 30 years. This study investigated Zhongshan City and its adjacent areas. First, the mixed pixels of Landsat and Sentinel-2 remote sensing data were decomposed using the linear mixed pixel decomposition method. Then, the NDWI threshold range corresponding to the water abundance of 70% and above was selected through visual comparison and analysis. Finally, the spatio-temporal distribution of typical aquaculture ponds from 1990 to 2021 was obtained. The study results show that the aquaculture ponds in Zhongshan City and its adjacent areas have experienced a process of first increasing and then decreasing since 1990. Specifically, the area of aquaculture ponds nearly doubled from 1990 to 2000, tended to be stable from 2000 to 2010, but decreased by nearly 50% from 2010 to 2021. This study can reduce the impact of mixed pixels on the monitoring of aquaculture ponds and support the scientific aquaculture and sustainable development of fisheries in the Greater Bay Area.
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