干旱区研究

干旱区研究 ›› 2016, Vol. 33 ›› Issue (5): 927-933.doi: 10.13866/j.azr.2016.05.03

• 气候变化 • 上一篇    下一篇

基于地形校正的山区积雪深度反演算法

李长春1,2, 包安明1, 岳继博2, 王宇1, 马春艳2   

  1. 1.中国科学院新疆生态与地理研究所,新疆 乌鲁木齐 830011;
    2.河南理工大学测绘与国土信息工程学院,河南 焦作 454001
  • 收稿日期:2015-11-17 修回日期:2016-04-18 出版日期:2016-09-15 发布日期:2025-12-01
  • 作者简介:李长春(1976-),男,副教授,主要从事灾害遥感监测与评估方面的教学和研究. E-mail:lichangchun610@126.com
  • 基金资助:
    国家自然科学基金“天山中段非均匀下垫面雪水当量被动微波遥感研究”(41371419); 新疆维吾尔自治区重点实验室项目(XJYS0205-2013-01)资助

Inversion Algorithm of Snow Cover Depth in Mountainous Area Based on Topographical Correction

LI Chang-chun1,2, BAO An-ming1, YUE Ji-bo2, WANG Yu1, MA Chun-yan2   

  1. 1. Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,Xinjiang,China;
    2. College of Surveying and Land Information Engineering,Henan Polytechnic University,Jiaozuo 454000,Henan,China
  • Received:2015-11-17 Revised:2016-04-18 Published:2016-09-15 Online:2025-12-01

PDF (PC)

0

赞

摘要： 积雪深度是天气和水文模型运行的必要参数。利用微波遥感可以反演不同尺度的地表积雪深度参数,为全球或区域尺度气候模型与水循环提供有效积雪参数。现有积雪深度微波遥感反演算法未综合考虑地形因子对反演结果的影响。微波辐射计观测的地表信号会受到地形的影响,导致能量在地表重新得到分配,这不仅引起传感器本身的观测误差,而且改变了地表的微波散射和辐射,使得水热能量在地表重新分配,从而也影响着地表关键参数的反演精度。为了提高山区积雪深度的反演精度,分析了坡度、坡向等地形因子对积雪深度反演的影响,在利用微波遥感反演积雪深度时加入地形坡度和坡向校正,构建基于地形效应的微波辐射模型,提出基于地形校正的山区积雪深度反演算法。实验结果显示,地形校正前,积雪深度反演的RMSE=10.41,地形校正后,积雪深度反演的RMSE=7.22,积雪深度反演精度得到了一定的提高。

关键词: 地形校正, 微波遥感, 积雪深度, 遥感反演

Abstract: Snow cover depth is a necessary parameter for the operation of weather and hydrological models,and its monitoring is of importance in predicting snow melting runoff,managing water resources and preventing and controlling flood. Microwave remote sensing can be used to invert snow cover depth on different scales and provide the effective snow cover parameters for climate model and water cycle on global or regional scale. The available inversion algorithms of snow cover depth are often based on microwave remote sensing,in which the effects of land covers are considered only,but the comprehensive influence of topographical factors on inverted results is not considered. In the mountainous areas with undulating terrain,the surface signals observed with microwave radiometer are affected by terrain,and the surface energy is redistributed. The energy redistribution can not only cause the measurement error of sensor,but also can change the microwave scattering and radiation on land surface,and the inversion accuracy of the key surface parameters is influenced. In order to improve the accuracy of snow cover depth inversion in mountainous area,the effects of slope and aspect on snow cover depth inversion were studied in this paper,the slope and aspect corrections were added in inverting snow cover depth with microwave remote sensing,and a microwave radiation model was developed based on the topographic effect. A snow cover depth retrieval algorithm based on topographic correction was proposed. Experimental results showed that RMSE of snow cover depth inversion without terrain correction was 10.41,RMSE was 7.22 after terrain correction,and the accuracy of snow cover depth inversion was improved to some extent.

Key words: topographic correction, microwave remote sensing, snow cover depth, remote sensing inversion