Title :
Sensitivity of Topographic Correction to the DEM Spatial Scale
Author :
Yanli Zhang ; Guangjian Yan ; Yulong Bai
Author_Institution :
Cold & Arid Regions Environ. & Eng. Res. Inst., Lanzhou, China
Abstract :
Topographic correction has become very important in areas with rugged terrain. Many studies have suggested that a digital elevation model (DEM) with an inadequate spatial resolution undesirably removes topographic effects. In this letter, a scientific experiment was performed to explore the sensitivity of the topographic correction to the DEM spatial scale based on remote sensing images simulated with a 5-m resolution DEM. Topographic corrections with different DEM resolutions that ranged from 5 to 500 m were performed for simulated images with resolutions of 30-500 m to estimate surface spectral reflectance. Five representative topographic feature points were selected for the analysis. The results demonstrate that the sensitivity to the DEM spatial scale primarily originates from the spatial heterogeneity of the terrain and from the spatial resolution of the image that is topographically corrected. More complex terrain is associated with topographic corrections that are more dependent on the spatial resolution of the DEM. In general, for 30-m resolution remote sensing images, the DEM spatial resolution must be at least 10 m, whereas for 90- to 500-m resolution remote sensing images, a 30-m DEM can achieve the required topographic correction accuracy.
Keywords :
digital elevation models; geophysical techniques; remote sensing; terrain mapping; topography (Earth); 5-m resolution DEM; DEM spatial resolution; DEM spatial scale sensitivity; complex terrain; digital elevation model; image spatial resolution; inadequate spatial resolution; remote sensing image; representative topographic feature point; rugged terrain area; scientific experiment; surface spectral reflectance estimation; terrain spatial heterogeneity; topographic correction accuracy; topographic correction sensitivity; topographic effect; Atmospheric modeling; Land surface; Remote sensing; Satellites; Spatial resolution; Surface topography; Digital elevation model (DEM) spatial scale; spatial heterogeneity; topographic factors;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2014.2326000