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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >LULC Classification and Topographic Correction of Landsat-7 ETM+ Imagery in the Yangjia River Watershed: the Influence of DEM Resolution
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LULC Classification and Topographic Correction of Landsat-7 ETM+ Imagery in the Yangjia River Watershed: the Influence of DEM Resolution

机译：杨家江流域Landsat-7 ETM +影像的LULC分类和地形校正：DEM分辨率的影响

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摘要

DEM-based topographic corrections on Landsat-7 ETM+ imagery from rugged terrain, as an effective processing techniques to improve the accuracy of Land Use/Land Cover (LULC) classification as well as land surface parameter retrievals with remotely sensed data, has been frequently reported in the literature. However, few studies have investigated the exact effects of DEM with different resolutions on the correction of imagery. Taking the topographic corrections on the Landsat-7 ETM+ images acquired from the rugged terrain of the Yangjiahe river basin (P.R. China) as an example, the present work systematically investigates such issues by means of two commonly used topographic correction algorithms with the support of different spatial resolution DEMs. After the pre-processing procedures, i.e. atmospheric correction and geo-registration, were applied to the ETM+ images, two topographic correction algorithms, namely SCS correction and Minnaert correction, were applied to assess the effects of different spatial resolution DEMs obtained from two sources in the removal of topographic effects and LULC classifications. The results suggested that the topographic effects were tremendously reduced with these two algorithms under the support of different spatial resolution DEMs, and the performance of the topographic correction with the 1:50,000-topographic-map DEM was similar to that achieved using SRTM DEM. Moreover, when the same topographic correction algorithm was applied the accuracy of LULC classification after topographic correction based on 1:50,000-topographic-map DEM was similar as that based on SRTM DEM, which implies that the 90 m SRTM DEM can be used as an alternative for the topographic correction of ETM+ imagery when high resolution DEM is unavailable.
机译：经常报道从崎terrain的地形对Landsat-7 ETM +影像进行基于DEM的地形校正，这是一种有效的处理技术，可提高土地利用/覆盖率（LULC）分类的准确性以及利用遥感数据检索地表参数的准确性在文学中。但是，很少有研究调查具有不同分辨率的DEM对图像校正的确切影响。以从杨家河流域（中国）崎terrain地形获得的Landsat-7 ETM +影像的地形校正为例，本工作通过两种常用的地形校正算法在不同的支持下，系统地研究了这些问题。空间分辨率DEM。将预处理程序（即大气校正和地理配准）应用于ETM +图像后，应用了两种地形校正算法（即SCS校正和Minnaert校正）来评估从两个来源获得的不同空间分辨率DEM的效果。去除地形影响和LULC分类。结果表明，在不同空间分辨率DEM的支持下，使用这两种算法可以极大地降低地形影响，并且使用1：50,000地形图DEM进行地形校正的性能与使用SRTM DEM相似。此外，当使用相同的地形校正算法时，基于1：50000地形图DEM的地形校正后的LULC分类的准确性与基于SRTM DEM的相似，这意味着90 m SRTM DEM可以用作当高分辨率DEM不可用时，用于ETM +图像的地形校正的替代方法。

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