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冷季深入对AMSR-E监测内蒙古积雪的影响
引用本文:袁雷,李春娥,储少林,严建武,陈全功.冷季深入对AMSR-E监测内蒙古积雪的影响[J].草业科学,2008,25(8).
作者姓名:袁雷  李春娥  储少林  严建武  陈全功
作者单位:兰州大学草地农业科技学院,甘肃,兰州,730020
基金项目:国家高技术研究发展计划(863计划)
摘    要:传统的积雪范围和厚度监测是通过气象台站的定时观测, 其缺点是:地面观测资料区域代表性有限和地面气象台站分布很均匀.遥感技术可以弥补传统观测的不足,中分辨率成像光谱仪(Moderate Resolution Imaging Spectroradiometer, MODIS)数据具有高空间分辨率、高时间分辨率,地球观测系统先进微波扫描辐射计(Advanced Microwave Scanning Radiometer-EOS, AMSR-E)数据具有不受云层影响的特点.分析冷季深入对AMSR-E影像积雪判别的影响,最终得出,在内蒙古地区随着冷季的深入,AMSR-E将MODIS影像上无雪像元和有云像元判别为有雪的比例越来越高,最高分别达34.22%和28.29%.两者同时判别为有雪像元的比例也越来越高,最高达33.66%.

关 键 词:内蒙古  季节变化

Impact of seasonal changes on snow monitoring through AMSR-E in Inner Mongolia
YUAN Lei,LI Chun-e,CHU Shao-lin,YAN Jian-wu,CHEN Quan-gong.Impact of seasonal changes on snow monitoring through AMSR-E in Inner Mongolia[J].Pratacultural Science,2008,25(8).
Authors:YUAN Lei  LI Chun-e  CHU Shao-lin  YAN Jian-wu  CHEN Quan-gong
Abstract:The traditional method for monitoring the scope and thickness of snow was to observe regularly through the meteorological stations.The problem was that the representation from ground-based observations and information was limited.Remote sensing technology could overcome the problem because MODIS(Moderate Resolution Imaging Spectroradiometer) data were high spatial resolution and high time resolution and AMSR-E(Advanced Microwave Scanning Radiometer-EOS) data were not affected by cloud.This paper was aimed to explore the impact of seasonal changes on AMSR-E snow discriminate.The result indicated that more pixels without snow and pixels with cloud were identified through AMSR-E to those covered by snow along with the cold season,and the proportion reached 34.22% and 28.29% respectively.
Keywords:MODIS  AMSR-E
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