资源简介

摘要： 像元尺度上积雪面积比例与雪水当量的关系是将积雪遥感面积数据引入水文模型的有效手段。以冰沟流域为例,利用合成孔径雷达ENVISAT-ASAR数据反演得到积雪面积、雪水当量信息,分析了500 m像元尺度上积雪面积比例与雪水当量的关系。结果表明:①在积雪面积比例未达到全覆盖饱和状态,雪水当量和积雪面积比例呈正相关关系,积雪面积比例控制着雪水当量的最大值,但由于受到地形的影响,关系不显著;②当考虑地形因子影响,即将坡度、坡向、海拔、积雪面积比例与雪水当量进行多元线性回归,回归系数的显著性水平均小于0.05,相关系数(r)达到0.841。因此,在高分辨率地形因子已知的情况下,结合遥感积雪数据,可建立良好的积雪面积比例和雪水当量之间的关系,有利于高分辨率积雪面积比例数据在寒区分布式水文模型中的应用。 关键词： 遥感;  积雪衰减曲线;  积雪面积;  雪水当量;  合成孔径雷达     Abstract: The relationship between snow cover fraction and snow water equivalent at pixel scale is an effective approach of applying high resolution optical remote sensing data in hydrological models.Binggou watershed was selected as the study area in this paper this paper.Retrieved snow cover fraction (SCF) and snow water equivalent (SWE) information through the ENVISAT-ASAR data,thus resamples the SCF and SWE data in 500m resolution and analyzes the relation between SCF and SWE.The results show that:①Without the concern of topographic factors,snow cover fraction and snow water equivalent is a discrete distribution,however,snow cover fraction determines the maximum value of snow water equivalent,and the average snow water equivalent improves with the increased snow cover fraction;②When considering topographic factors,the multifactor regression analysis of snow water equivalent and snow cover fraction,slope,aspect,altitude show that the regression coefficient significance level is less than 0.05,and the correlation coefficient reaches at 0.841.Therefore,snow cover fraction can be converted into snow water equivalent according to the analysis of specific snow depletion curve,thich provides a solution to fuse the remote sensing data into cold region hydrological model.

相关资源

1. 水质遥感监测的关键要素叶绿素a的反演算法研究进展
2. 基于无人机遥感技术的森林参数获取研究进展
3. 基于无线传感器网络的森林生态系统观测试验平台构建
4. 基于无人机激光雷达的森林冠层高度分析
5. 多源时序国产卫星影像的森林火灾动态监测
6. 基于无人机遥感技术的台风灾害倒伏绿化树木检测

下载说明

·如果您发现该资源不能下载，请通知管理员.gissky@gmail.com

·为确保下载的资源能正常使用，请使用[WinRAR v3.8]或以上版本解压本站资源,缺省解压密码www.gissky.net ，如果是压缩文件为分卷多文件，请依次下载每一个文件，并按照顺序命名为1.rar,2.rar,3.rar...，然后鼠标右击1.rar解压.

·为了保证您快速的下载速度，我们推荐您使用[网际快车]等专业工具下载.

·站内提供的资源纯属学习交流之用,如侵犯您的版权请与我们联系.