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黑龙江流域积雪覆盖时空变化遥感监测

于灵雪1,2,张树文1**,贯丛1,3,颜凤芹1,2,杨朝斌1,2,卜坤1,杨久春1,常丽萍1   

  1. (1中国科学院东北地理与农业生态研究所, 长春 130102; 2中国科学院大学, 北京 100049; 3吉林大学, 长春 130012)
  • 出版日期:2014-09-18 发布日期:2014-09-18

Monitoring on spatial and temporal changes of snow cover in the Heilongjiang Basin based on remote sensing.

YU Ling-xue1,2, ZHANG Shu-wen1, GUAN Cong1,3, YAN Feng-qin1,2, YANG Chao-bin1,2, BU Kun1, YANG Jiu-chun1, CHANG Li-ping1   

  1. (1Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China; 2University of Chinese Academy of Sciences, Beijing 100049, China;3Jilin University, Changchun 130012, China)
  • Online:2014-09-18 Published:2014-09-18

摘要:

利用MODIS双星数据对黑龙江流域2003—2012年的积雪覆盖面积进行提取和验证,然后基于合成的数据分析研究区积雪覆盖面积的季节和年际变化.结果表明: 双星合成降低了云的影响,总体精度>91%,可以满足分析和研究需求.研究期间,黑龙江流域积雪覆盖面积存在显著的季节变化,7、8月的积雪最少,几乎为零,1月积雪覆盖面积最大,占流域的80%以上.2003—2004、2009—2010年冬季积雪覆盖面积较高(>180×104 km2),2011年冬季最大积雪覆盖面积较低(150×104 km2).积雪覆盖的年际变化与年平均气温和平均降水量的波动存在一定的对应关系:积雪覆盖面积较低年份对应的年降水量较少、平均气温较高,反之亦然.2003—2012年,研究区5、6月的积雪覆盖面积呈减少趋势,降水量增加和气温的升高与积雪覆盖面积减少紧密相连.
 

Abstract: This paper extracted and verified the snow cover extent in Heilongjiang Basin from 2003 to 2012 based on MODIS Aqua and Terra data, and the seasonal and interannual variations of snow cover extent were analyzed. The result showed that the doublestar composite data reduced the effects of clouds and the overall accuracy was more than 91%, which could meet the research requirements. There existed significant seasonal variation of snow cover extent. The snow cover area was almost zero in July and August while in January it expanded to the maximum, which accounted for more than 80% of the basin. According to the analysis on the interannual variability of snow cover, the maximum winter snow cover areas in 2003-2004 and 2009-2010 (>180×104 km2) were higher than that of 2011(150×104 km2). Meanwhile, there were certain correlations between the interannual fluctuations of snow cover and the changes of average annual temperature and precipitation. The year with the low snow cover was corresponding to less annual rainfall and higher average temperature, and vice versa. The spring snow cover showed a decreasing trend from 2003 to 2012, which was closely linked with decreasing precipitation and increasing temperature.