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Changqing KE, Yu CAI, Yao XIAO. Monitoring ice phenology variations in Khanka Lake based on passive remote sensing data from 1979 to 2019. [J]. National Remote Sensing Bulletin 26(1):201-210(2022)
季节性冻结与消融的湖冰是气候变化的重要指示器。本文以兴凯湖为例，基于1979年—2019年的被动微波遥感数据获取了兴凯湖的冻融日期，用2000年—2019年的中等分辨率成像光谱仪MODIS（Moderate-resolution Imaging Spectroradiometer）数据进行了验证，并用气候数据分析了湖冰物候变化的原因。结果表明被动微波与MODIS遥感数据在湖冰物候提取方面具有较好的一致性，也即MODIS的验证结果表明用低频被动微波亮度温度数据获取湖冰物候的方法是可行的，结果也是可靠的。平均而言，兴凯湖湖冰每年11-13左右开始冻结，11-23左右完全冻结，湖冰冻结持续时间9.80 d；次年04-23左右湖冰开始消融，04-30左右湖冰完全消融，消融持续时间8.03 d；湖冰完全封冻时间150.50 d，湖冰覆盖时间168.03 d。过去41 a，兴凯湖开始冻结日期没有明显变化，完全冻结日期平均推后了0.19 d/a，开始消融日期和完全消融日期分别提前了0.16 d/a和0.13 d/a，湖泊完全封冻时间和湖冰覆盖时间分别缩短了12.71 d和2.87 d。湖冰冻结日期推后与风速增大密切相关，消融日期提前和湖冰持续时间缩短与气温升高显著相关。
Seasonal freeze—thaw of lake ice is an important indicator of climate change. As a boundary lake between China and Russia, Khanka Lake has annual ice cover due to its low air temperature. Changes in ice phenology greatly affect the physical, chemical, and biological lake processes. Therefore, this study aims to obtain the ice phenology variations of Khanka Lake and analyze its influencing factors from 1979 to 2019.,An algorithm based on moving ,t, test method is applied to determine the daily status of passive microwave calibrated enhanced resolution passive microwave (CETB) pixels, and then the ice phenology dates can be obtained by the thresholds of 5% and 95% of all the pixels. Subsequently, ice phenology results extracted from moderate-resolution imaging spectroradiometer (MODIS) daily snow product are used to compare with the results from passive microwave data. In addition, the meteorological data from Jixi station are used to analyze the reason for ice phenology variations of Khanka Lake.,The results show that the passive microwave and MODIS remote sensing data have good consistency in the extraction of lake ice phenology. On the average, lake ice begins to freeze on November 13 and completely freezes on November 23 every year, and the freezing duration of lake ice is 9.80 days. On April 23 of the following year, the lake ice begins to melt, and on April 30, the lake ice completely melted, lasting for 8.03 days. The complete freezing duration of lake ice is 150.50 days, and the ice cover duration is 168.03 days. In more than 41 years, the freeze-up start date has no evident change, but the freeze-up end date has been pushed back at 0.19 day/year. In addition, the break-up start date and break-up end date have advanced at 0.16 day/year and 0.13 day/year, respectively. The complete freezing duration and ice cover duration have shortened by 12.71 days and 2.87 days, respectively. The delay of freeze-up dates is closely correlated with wind speed up, whereas the advancement of break-up dates and shortening of the complete freezing duration and ice cover duration are significantly correlated with the increasing air temperature.,The consistency between ice phenology results from CETB dataset and MODIS daily snow product indicates that the extracting lake ice phenology from passive microwave brightness temperature with low frequency is feasible, and the results are reliable. Khanka Lake has experienced subsequent freeze-up end date and earlier break-up dates from 1979 to 2019, thereby shortening the complete freezing duration and ice cover duration. The increasing wind speed may be the main reason for the subsequent freeze-up dates, while the variations in break-up dates and ice cover durations can be explained by the increasing air temperature.
湖泊遥感湖冰物候被动微波遥感MODIS气候变化兴凯湖
lake remote sensinglake ice phenologypassive remote sensingMODISclimate changeKhanka Lake
Bennartz R. 1999. On the use of SSM/I measurements in coastal regions. Journal of Atmospheric and Oceanic Technology, 16(4): 417-431 [DOI: 10.1175/1520-0426(1999)016<0417:OTUOSI>2.0.CO;2http://dx.doi.org/10.1175/1520-0426(1999)016<0417:OTUOSI>2.0.CO;2]
Cai Y, Ke C Q and Duan Z. 2017. Monitoring ice variations in Qinghai Lake from 1979 to 2016 using passive microwave remote sensing data. Science of the Total Environment, 607-608: 120-131 [DOI: 10.1016/j.scitotenv.2017.07.027http://dx.doi.org/10.1016/j.scitotenv.2017.07.027]
Cai Y, Ke C Q, Li X G, Zhang G Q, Duan Z and Lee H. 2019. Variations of lake ice phenology on the Tibetan Plateau from 2001 to 2017 based on MODIS data. Journal of Geophysical Research: Atmospheres, 124(2): 825-843 [DOI: 10.1029/2018JD028993http://dx.doi.org/10.1029/2018JD028993]
Cai Y, Ke C Q, Yao G H and Shen X Y. 2020. MODIS-observed variations of lake ice phenology in Xinjiang, China. Climatic Change, 158(3/4): 575-592 [DOI: 10.1007/s10584-019-02623-2http://dx.doi.org/10.1007/s10584-019-02623-2]
Che T, Li X and Jin R. 2009. Monitoring the frozen duration of Qinghai Lake using satellite passive microwave remote sensing low frequency data. Chinese Science Bulletin, 54(13): 2294-2299
车涛, 李新, 晋锐. 2009. 利用被动微波遥感低频亮温数据监测青海湖封冻与解冻期. 科学通报, 54(6): 787-791 [DOI: 10.1007/s11434-009-0044-3http://dx.doi.org/10.1007/s11434-009-0044-3]
Chen X Z, Wang G Y, Li W J, Zeng Q Z, Jin D H and Wang L H. 1995. Lake ice and its remote sensing monitoring in the Tibetan Plateau. Journal of Glaciology and Geocryology, 17(3): 241-246
陈贤章, 王光宇, 李文君, 曾群柱, 金德洪, 王丽红. 1995. 青藏高原湖冰及其遥感监测. 冰川冻土, 17(3): 241-246
Du J Y, Kimball J S, Duguay C, Kim Y and Watts J D. 2017. Satellite microwave assessment of northern hemisphere lake ice phenology from 2002 to 2015. The Cryosphere, 11(1): 47-63 [DOI: 10.5194/tc-11-47-2017http://dx.doi.org/10.5194/tc-11-47-2017]
Gafurov A and Bárdossy A. 2009. Cloud removal methodology from MODIS snow cover product. Hydrology and Earth System Sciences, 13(7): 1361-1373 [DOI: 10.5194/hess-13-1361-2009http://dx.doi.org/10.5194/hess-13-1361-2009]
Gould M and Jeffries M. 2005. Temperature variations in lake ice in central Alaska, USA. Annals of Glaciology, 40: 89-94 [DOI: 10.3189/172756405781813825http://dx.doi.org/10.3189/172756405781813825]
Howell S E L, Brown L C, Kang K K and Duguay C R. 2009. Variability in ice phenology on Great Bear Lake and Great Slave Lake, Northwest Territories, Canada, from SeaWinds/QuikSCAT: 2000-2006. Remote Sensing of Environment, 113(4): 816-834 [DOI: 10.1016/j.rse.2008.12.007http://dx.doi.org/10.1016/j.rse.2008.12.007]
Ke C Q, Tao A Q and Jin X. 2013. Variability in the ice phenology of Nam Co Lake in central Tibet from scanning multichannel microwave radiometer and special sensor microwave/imager: 1978 to 2013. Journal of Applied Remote Sensing, 7(1): 073477 [DOI: 10.1117/1.JRS.7.073477http://dx.doi.org/10.1117/1.JRS.7.073477]
Kouraev A, Semovski S, Shimaraev M, Mognard N, Legresy B and Remy F. 2007. Observations of Lake Baikal ice from satellite altimetry and radiometry. Remote Sensing of Environment, 108(3): 240-253 [DOI: 10.1016/j.rse.2006.11.010http://dx.doi.org/10.1016/j.rse.2006.11.010]
Kropáček J, Maussion F, Chen F, Hoerz S and Hochschild V. 2013. Analysis of ice phenology of lakes on the Tibetan Plateau from MODIS data. The Cryosphere, 7(1): 287-301 [DOI: 10.5194/tc-7-287-2013http://dx.doi.org/10.5194/tc-7-287-2013]
Qi M M, Yao X J, Li X F, An L N, Gong P, Gao Y P and Liu J. 2018. Spatial-temporal characteristics of ice phenology of Qinghai Lake from 2000 to 2016. Acta Geographica Sinica, 73(5): 932-944
祁苗苗, 姚晓军, 李晓锋, 安丽娜, 宫鹏, 高永鹏, 刘娟. 2018. 2000-2016年青海湖湖冰物候特征变化. 地理学报, 73(5): 932-944 [DOI: 10.11821/dlxb201805012http://dx.doi.org/10.11821/dlxb201805012]
Sharma S, Blagrave K, Magnuson J J, O’Reilly C M, Oliver S, Batt R D, Magee M R, Straile D, Weyhenmeyer G A, Winslow L and Woolway R I. 2019. Widespread loss of lake ice around the Northern Hemisphere in a warming world. Nature Climate Change, 9(3): 227-231 [DOI: 10.1038/s41558-018-0393-5http://dx.doi.org/10.1038/s41558-018-0393-5]
Sharma S, Meyer M F, Culpepper J, Yang X, Hampton S, Berger S A, Brousil M R, Fradkin S C, Higgins S N, Jankowski K J, Kirillin G, Smits A P, Whitaker E C, Yousef F and Zhang S. 2020. Integrating perspectives to understand lake ice dynamics in a changing world. Journal of Geophysical Research: Biogeosciences, 125(8):
e2020JG005799 [DOI: 10.1029/2020JG005799http://dx.doi.org/10.1029/2020JG005799]
Wang G X, Zhang T J, Li X D, He Z L and Li Y X. 2021. Detecting changes of ice phenology using satellite passive microwave remote sensing data in Qinghai Lake. Journal of Glaciology and Geocryology, 43(1): 296-310
汪关信, 张廷军, 李晓东, 何灼伦, 李宇星. 2021. 利用被动微波探测青海湖湖冰物候变化特征. 冰川冻土, 43(1): 296-310 [DOI: 10.7522/j.issn.1000-0240.2020.0528http://dx.doi.org/10.7522/j.issn.1000-0240.2020.0528]
Wang G X, Zhang T J, Yang R M, Zhong X Y and Li X D. 2020. Lake ice changes in the Third Pole and the Arctic. Journal of Glaciology and Geocryology, 42(1): 124-139
汪关信, 张廷军, 杨瑞敏, 钟歆玥, 李晓东. 2020. 从第三极到北极: 湖冰研究进展. 冰川冻土, 42(1): 124-139 [DOI: 10.7522/j.issn.1000-0240.2020.0008http://dx.doi.org/10.7522/j.issn.1000-0240.2020.0008]
Weber H, Riffler M, Nõges T and Wunderle S. 2016. Lake ice phenology from AVHRR data for European lakes: an automated two-step extraction method. Remote Sensing of Environment, 174: 329-340 [DOI: 10.1016/j.rse.2015.12.014http://dx.doi.org/10.1016/j.rse.2015.12.014]
Wei Q F and Ye Q H. 2010. Review of lake ice monitoring by remote sensing. Progress in Geography, 29(7): 803-810
魏秋方, 叶庆华. 2010. 湖冰遥感监测方法综述. 地理科学进展, 29(7): 803-810 [DOI: 10.11820/dlkxjz.2010.07.005http://dx.doi.org/10.11820/dlkxjz.2010.07.005]
Wu Y H, Duguay C R and Xu L L. 2021. Assessment of machine learning classifiers for global lake ice cover mapping from MODIS TOA reflectance data. Remote Sensing of Environment, 253: 112206 [DOI: 10.1016/j.rse.2020.112206http://dx.doi.org/10.1016/j.rse.2020.112206]
Xiao D and Li J P. 2007. Spatial and temporal characteristics of the decadal abrupt changes of global atmosphere-ocean system in the 1970s. Journal of Geophysical Research: Atmospheres, 112(D24): D24S22 [DOI: 10.1029/2007JD008956http://dx.doi.org/10.1029/2007JD008956]
Yang Q, Song K S, Wen Z D, Hao X H and Fang C. 2019. Recent trends of ice phenology for eight large lakes using MODIS products in Northeast China. International Journal of Remote Sensing, 40(14): 5388-5410 [DOI: 10.1080/01431161.2019.1579939http://dx.doi.org/10.1080/01431161.2019.1579939]
Yao X J, Li L, Zhao J, Sun M P, Li J, Gong P and An L N. 2015. Spatial-temporal variations of lake ice in the Hoh Xil region from 2000 to 2011. Acta Geographica Sinica, 70(7): 1114-1124
姚晓军, 李龙, 赵军, 孙美平, 李净, 宫鹏, 安丽娜. 2015. 近10年来可可西里地区主要湖泊冰情时空变化. 地理学报, 70(7): 1114-1124 [DOI: 10.11821/dlxb201507008http://dx.doi.org/10.11821/dlxb201507008]
Yin Q J and Yang Y L. 2005. Remote sensing monitoring of Lake Qinghai based on EOS/MODIS data. Journal of Lake Sciences, 17(4): 356-360
殷青军, 杨英莲. 2005. 基于EOS/MODIS数据的青海湖遥感监测. 湖泊科学, 17(4): 356-360 [DOI: 10.18307/2005.0413http://dx.doi.org/10.18307/2005.0413]
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