Minnaert Topographic Normalization of Landsat Tm Imagery in Rugged Forest Areas
نویسندگان
چکیده
Minnaert constants (K) were derived from non atmospherically corrected, high-sun elevation angle Landsat TM data (8 June 1996 and 13 July 1997) and DEMs at 30x30 m spatial resolution using the IDL procedure developed at Dartmouth College. K constants were calculated for two contiguous areas in northern Apennines, the former (366 ha) covered by beech (Fagus Sylvatica) forest and the latter (343 ha) by mixed deciduous forest (Quercetalia pubescentis). Calculated Minnaert K ranges for the two forest types and dates were 0.21-0.26, 0.49-0.55 and 0.58-0.63 for bands 3, 4 and 5 respectively, with an r significance level of the K values estimates between 0.77 and 0.91. The correlation factors between uncorrected TM bands 3, 4 and 5 and the cosine of solar illumination angle (i) ranged from 0.70 to 0.91, thus indicating that 49% to 83% of the variance of these bands in this rugged forested area is explained by the topographic effect. K regression significance as well as topographic dependence of TM data tended to increases from band 3 to band 5 for both dates and forest types. Minnaert normalization was effective at removing the topographic effect reducing the correlation coefficients of the three corrected bands with cos (i) within the range -0.07/+0.02.
منابع مشابه
Topographic Normalization in Rugged Terrain
Remote sensing of rugged terrain is hampered by topographic effects on spectral signatures. The purpose of this study was to attempt normalization of the topographic effect encountered when analyzing Landsat Thematic Mapper (TM) imagery in the Rocky Mountains. Two normalization techniques were performed on a subscene of a TM image of Rocky Mountain National Park. The first technique was a band ...
متن کاملTopographic Normalization of Landsat Thematic Mapper Data in Three Mountain Environments
A comparative analysis is presented for empirical topographic normalization of Landsat Thematic Mapper (TM) data in varied forest and topographic settings. The paired study included rugged areas of Glacier National Park, Montana, Linville Gorge Wilderness, North Carolina, and Green Mountains, Vermont, U.S.A. Empirical models of topographic bias achieved significant corrections in the Montana an...
متن کاملLand Cover Classification Using Landsat TM Imagery in the Tropical Highlands: The Influence of Anisotropic Reflectance
Despite the tremendous attention given to conservation projects in the Neotropics, few published studies have documented remote sensing studies in tropical highland areas. Even fewer publications have addressed the use of topographic normalization methods in these regions. This article discusses the influence of anisotropic reflectance patterns on land cover classification for two study areas c...
متن کاملComparison of Topographic Correction Methods
A comparison of topographic correction methods is conducted for Landsat-5 TM, Landsat-7 ETM+, and SPOT-5 imagery from different geographic areas and seasons. Three successful and known methods are compared: the semi-empirical C correction, the Gamma correction depending on the incidence and exitance angles, and a modified Minnaert approach. In the majority of cases the modified Minnaert approac...
متن کاملLULC Classification and Topographic Correction of Landsat-7 ETM+ Imagery in the Yangjia River Watershed: the Influence of DEM Resolution
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 resolution...
متن کامل