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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.

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