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作 者:李佳鑫 曹志刚[1] 胡旻琪 熊俊峰[1] 马荣华[1,3] LI Jiaxin;CAO Zhigang;HU Minqi;XIONG Junfeng;MA Ronghua(Key Laboratory of Watershed Geographic Sciences,Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences,Nanjing 210008,P.R.China;University of Chinese Academy Sciences,Beijing 100049,P.R.China;Lake-Watershed Science Data Center,National Earth System Science Data Center,Nanjing 210008,P.R.China)
机构地区:[1]中国科学院南京地理与湖泊研究所,中国科学院流域地理学重点实验室,南京210008 [2]中国科学院大学,北京100049 [3]国家地球系统科学数据中心,湖泊-流域科学数据中心,南京210008
出 处:《中国科学数据(中英文网络版)》2023年第4期298-307,共10页China Scientific Data
基 金:中国科学院网络安全和信息化专项(CAS-WX2021SF-0306、CASWX2022SDC-SJ05)。
摘 要:湖冰是气候变化的敏感指示因子,理解湖冰对气候的响应机制可为研究全球气候变化机制、提高气候预测能力提供理论基础。本文基于Landsat地表反射率产品生产2000–2021年的色林错湖泊边界数据;基于MODIS地表反射率产品生产2000–2020年11月至次年5月的色林错250 m分辨率日尺度湖冰分布数据;分别选取冻结期和完全封冻期结果与目视结果对比进行精度验证计算混淆矩阵,用户总精度达到90%,Kappa系数均在0.80以上;随后基于湖冰面积比例阈值识别物候期。色林错的湖冰物候有着指示气候变化的重要意义,连续的监测数据弥补了实测数据的不足,为相关研究提供数据支撑。Lake ice is a sensitive indicator of climate change.Research on the response mechanism between lake ice and climate offer valuable insights into the mechanisms driving global climate change and enhance our ability to predict climate patterns.Using the Landsat surface albedo products,we delineated the boundaries of Lake Selin Co from 2000 to 2021;and by leveraging the MODIS Terra surface reflectance data with a 250 m resolution and daily revisit time,we generated a dataset of lake ice distribution in Lake Selin Co from 2000 to 2021.We selected the results of the freezing period and the complete freezing period respectively,compared them with the visual results to perform accuracy verification and calculate the confusion matrix.The overall accuracy of the user reached 94%,and the Kappa coefficient exceeded 0.89.Continuous monitoring data for lake ice phenology in Selin Co are of great significance for tracking climate change,which help fill gaps in measured data and provide valuable support for related research.
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