基于MODIS NDVI的Landsat TM影像地形阴影区光谱信息恢复方法研究

doi:10.11873/j.issn.1004-0323.2016.1.0012

遥感技术与应用

2016, Vol. 31

Issue (1): 12-22 DOI: 10.11873/j.issn.1004-0323.2016.1.0012

山地遥感专栏

基于MODIS NDVI的Landsat TM影像地形阴影区光谱信息恢复方法研究

边金虎^1,2,李爱农¹,王少楠^1,2,赵伟¹,雷光斌^1,2

(1.中国科学院水利部成都山地灾害与环境研究所,四川成都610041;
2.中国科学院大学,北京100049)

Restoration of Information Obscured by Mountain Shadows for Landsat TM Images based on MODIS NDVI

Bian Jinhu^1,2,Li Ainong¹,Wang Shaonan^1,2,Zhao Wei¹,Lei Guangbin^1,2

(1.Institute of Mountain Hazards and Environment,Chinese Academy of Sciences,Chengdu 610041,China;
2.University of Chinese Academy of Sciences,Beijing 100049,China)

全文: PDF(5974 KB)

摘要：

遥感为获取山区生态环境与资源信息提供了重要的观测手段。然而受地形遮蔽影响,山区光学影像大量的地形阴影给山区土地覆被解译以及生态参量的遥感反演带来了巨大困难。针对地形阴影光谱信息的恢复,提出了一种基于MODIS NDVI的Landsat TM影像地形阴影区光谱信息恢复方法。该方法首先利用MODIS上午、下午星(Terra和Aqua)不同时间过境能够对地形阴影区信息实现互补的特点,采用最大值合成法合成MODIS上、下午星16 d NDVI产品(MOD13Q1和MYD13Q1),获得低空间分辨率影像上的阴影区光谱信息;在此基础上,考虑MODIS与Landsat的观测角度、光谱差异,设置滑动窗口及筛选规则提取MODIS与TM影像相匹配的同质纯像元;基于中、低空间分辨率影像中均匀同质像元存在一定统计关系的假设,进一步建立同质区域中TM影像光照区域与对应MODIS NDVI的回归树模型,利用该统计关系和阴影区MODIS的NDVI信息推导得出地形阴影区的光谱信息。将阴影光谱信息恢复后的影像与SCS+C校正后的影像进行比较和分析,结果表明该方法恢复得到的地形阴影的光谱信息能够更好地反映阴影区信息,同时光谱保真程度较好。随着越来越多的中高空间分辨率卫星影像的发展,采用多源卫星数据进行山地地形阴影区信息恢复将成为一个新的发展趋势,该方法以期为同类影像处理提供参考。

关键词： 地形辐射校正; MODIS NDVI; 地形阴影; 信息恢复; Landsat; 回归树

Abstract:

Remote sensing is a key technology for the monitoring of land cover and land use change and the retrieving of bio\|physical parameters of vegetation in mountainous area.However,due to the obscuring by terrain relief,the mountainous shadows in the optical remote sensing images have brought great difficulties for the remote sensing applications in mountain area.In this paper,a new method for the restoration of information obscured by mountain shadows was proposed.This method took advantage of the characteristics of MODIS Aqua and Terra,whose time of passing territory are morning and afternoon separately,to compose the information sources for the shadow area on high resolution images.Then the homogenous pixels in both MODIS and TM were selected based on the angle filter,cloud filter and homogenous filter.Based on the hypothesis that the statistics relationship exists for the homogenous pixels between MODIS and TM,the proposed method further built up a regression tree model for the sun\|light area,and then used the built model to predict information of the shadow area in Landsat TM images.According to the comparison of the restoration result between the proposed method and SCS+C model,the method in this paper can better reflect the detail information of the shadow area and simultaneously preserve the information of sun\|light area well.With the development of new high spatial resolution sensors such as Sentinel\|2A/B and Landsat 8 Operational Land Imager,using multi\|sources data to restore information of mountainous shadow area is a new development tendency,and the proposed method in this paper can be used as a reference for those similar satellite datasets.

Key words: Topographic correction MODIS NDVI Mountainous shadow Information restortion Landsat Regression tree

收稿日期: 2015-12-10 出版日期: 2016-04-05

TP 75

基金资助:

国家自然科学基金项目（41271433,41571373）,中国科学院“百人计划”项目,中国科学院国际合作重点部署项目(GJHZ201320),中国科学院国际合作创新团队项目(KZZD-EW-TZ-06)共同资助。

通讯作者: 李爱农(1974-)，男，安徽庐江人，研究员，中国科学院“百人计划”、四川省“千人计划”入选者，主要从事山地定量遥感及其应用研究。Email：ainongli@imde.ac.cn。

作者简介: 边金虎（1984-），男，安徽阜阳人，助理研究员,主要从事山地遥感影像时空融合方法与应用研究。Email：bianjinhu@imde.ac.cn。

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引用本文:

边金虎,李爱农,王少楠,赵伟,雷光斌. 基于MODIS NDVI的Landsat TM影像地形阴影区光谱信息恢复方法研究[J]. 遥感技术与应用, 2016, 31(1): 12-22.

Bian Jinhu,Li Ainong,Wang Shaonan,Zhao Wei,Lei Guangbin. Restoration of Information Obscured by Mountain Shadows for Landsat TM Images based on MODIS NDVI. Remote Sensing Technology and Application, 2016, 31(1): 12-22.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2016.1.0012 或 http://www.rsta.ac.cn/CN/Y2016/V31/I1/12

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