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基于多源遥感的呼伦湖动态监测 被引量:6

Dynamically Monitoring of Hulun Lake Based on Multi-source Remote Sensing Data
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摘要 利用2005-2015年MODIS 8 d合成数据和Jason-1、Jason-2卫星测高数据,对呼伦湖水域面积以及水位变化进行动态监测,并以降水量和蒸发量为指标进行了驱动力分析。结果表明:①2005-2009年水域面积和水位均呈持续减少趋势,湖面萎缩了2.24万hm2,水位下降了1.37 m;2009-2012年水域面积和水位变化幅度均不大;2012-2015年水域面积和水位大幅增加,2013年达到最大值分别为28.62万hm2和544.55 m,因此利用卫星测高数据研究呼伦湖水位变化是可行的。②蒸发量是影响呼伦湖水域面积和水位变化的主要因素,降水量为次要因素。 In this paper, we used MODIS 8-day synthetic data from 2005 to 2015 and Jason-1, Jason-2 satellite altimeter data to monitor the water area and level change of Hulun Lake. Furthermore, taking the precipitation and evaporation data as indicators, we analyzed the driving force. e results showed that(1) from 2005 to 2009, the water area decreased by 2.24 million ha, and water level decreased by 1.37 m. From 2009 to 2012, there was no significant change for the water area and level. From 2012 to 2015, the water area and level increased signi cantly and reached the maximum value of 28.62 million ha and 544.55 m respectively in 2013.(2)The evaporation is the major factor resulting in the change of water area and level, and the precipitation is the secondary factor. erefore, this study proves that it is possible to monitor water level change of Hulun Lake by satellite altimetry.
作者 孙瑞 王洪光 张云涛 殷飞 SUN Rui;WANG Hongguang;ZHANG Yuntao
出处 《地理空间信息》 2019年第9期83-85,I0002,共4页 Geospatial Information
关键词 MODIS数据 卫星测高 水域面积 水位变化 气候变化 MODIS data satellite altimetry water area water level fluctuation climate change
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