高原湖泊在反映全球气候变化背景下区域自然环境变迁方面具有重要意义。以新型国产遥感数据源天宫二号多光谱数据为基础采用面向对象方法, 结合水体指数和高程信息, 提出一种面向冻湖的自动提取算法。该算法充分考虑了不同形态的水体特性, 可以同时提取结冰和未结冰的湖泊, 并能够排除冰川、河流的影响。针对选定的7个典型区域, 采用自动提取算法进行湖泊提取试验, 并进行精度验证。湖泊提取整体精度达99.10%, F-score为0.982。结果表明: 天宫二号多光谱数据在高原湖泊提取方面具有较强应用潜力, 该数据作为一种有效的数据源, 可推广用于青藏高原地区湖泊提取与变化研究, 为研究区域气候变化提供数据支持。

Plateau lakes were of great significance in reflecting changes of regional natural environment under the background of global climate change. Based on the new homemade remote sensing data source, Tiangong-2 multi-spectral data, an automatic extraction algorithm for frozen lake was proposed by used object oriented method combined with water index and elevation information. The algorithm took full account of the characteristics of different forms of water, which can simultaneously extract frozen and unfrozen lakes, and exclude the influence of glaciers and rivers. For the selected 7 typical regions, automatic extraction algorithm was used to carry out lake extraction test and accuracy verification. The overall accuracy of lake extraction is 99.10% and F-score is 0.982. The results show that Tiangong-2 multi-spectral data has a significant application potential in the extraction of plateau lakes. As an effective data source, it can be applied to the study of lake extraction and change in the Tibetan Plateau, and provides data support for the study of regional climate change.