基于HJ-1A/1B卫星遥感数据的积雪识别方法研究  

SNOW COVER EXTRACTION BASED ON THE HJ-1A/1B SATELLITE DATA

作　　者：宋珍[1,2] 陈晓玲[1,3,2] 刘海[1,2] 田礼乔[1,2] 吴玮 

机构地区：[1]武汉大学测绘遥感信息工程国家重点实验室,湖北武汉430079 [2]民政部减灾和应急工程重点实验室,北京100053 [3]江西师范大学鄱阳湖湿地与流域研究教育部重点实验室,江西南昌330027

出　　处：《长江流域资源与环境》2011年第5期553-558,共6页Resources and Environment in the Yangtze Basin

基　　金：973计划项目(2009CB723905);国家自然科学基金委创新群体项目(40721001);863重点项目(2009AA122100);国家科技支撑计划(2008BAK49B01)

摘　　要：积雪分布与变化是标示气候变化的敏感因子,采用具有长时间序列的大范围同步获取信息优势的卫星遥感数据进行积雪识别提取,具有重要的理论意义和实际应用价值。针对HJ-1A/1B卫星数据,结合积雪遥感监测的理论方法,在分析HJ-1A/1B卫星CCD和IRS传感器光谱响应特征的基础上,将应用较广的归一化差分积雪指数(NDSI)引入到HJ-1A/1B卫星中,得到了基于CCD和IRS两个传感器数据的HJ-NDSI积雪识别方法。为避免由幅宽、扫描区域等因素的差异引起的两种不同传感器同时相数据难获取的问题,对HJ-NDSI方法进行了改进,提出了一种仅利用IRS传感器数据的HJ-MNDSI积雪识别方法。通过对HJ卫星数据的统计分析,给出了两种方法中的推荐阈值。以西藏普兰为实验区,对上述两种方法得到的结果进行精度评价,结果表明,HJ-NDSI和HJ-MNDSI方法提取积雪的精度分别为97.66%和94.92%,均能满足实际应用的需要,但HJ-MNDSI方法能保证更大的积雪监测范围。Snow is an important factor in climate change,thus,the extraction of snow cover by Remote Sensing data is of great significance in theory and practice for its advantage of real-time and wide-range.Using HJ-1A/1B satellite data,combined with the theory of snow remote sensing monitoring,this paper fully analyzed spectral response characteristics of HJ-1A/1B satellite data.Then the widely used Normalized Difference Snow Index（NDSI） was introduced to the HJ-1A/1B satellite,and a snow cover extraction method HJ-NDSI which integrated CCD and IRS image was proposed.To avoid the data acquisition problem in the two different sensors caused by the differences of swath width,scanning and other factors,HJ-NDSI was improved in this paper.Only based on IRS data,an improved extraction method based on the Modified Normalized Difference Snow Index（MNDSI） was put forward.Using multi-temporal HJ satellite data,the parameters in the two models were identified.Finally,taking Pulan Xizang as the study area,extraction accuracy of the two results by HJ-NDSI and HJ-MNDSI methods was assessed.They were 97.66% and 94.92%,respectively,and both of them could meet the needs of practical applications.However,HJ-MNDSI method could guarantee a larger range of snow monitoring in this study.

关 键 词：HJ-1A/1B NDSI MNDSI 积雪识别 

分 类 号：P407.8[天文地球—大气科学及气象学]