Topographic normalization of Landsat TM images in rugged terrain

A topographic correction method has been developed for TM images of rugged terrain, using ASTER stereo image pairs as a key input. The difference in solar radiance as a result of topography has always been a major barrier to the research on quantitative remote sensing in rugged areas. The mountain radiative transfer model with strict physical meaning must be selected to eliminate terrain effects. However, its development are restricted owing to its stringent requirements of high precision and resolution for digital elevation model DEM; it is desirable that the spatial resolution is 0.25 times the pixel size or finer, and moreover, DEM data are difficult to be obtained actually. Therefore, both SRTM data and ASTER GDEM have failed to meet the accuracy requirements for the Landsat TM. By comparison on DEMs with three resolutions, 15m, 30m and 90m, the results suggest that 15m DEM has topographic effects removed effectively. Based on ASTER stereo image, 15m DEM data with relatively high accuracy in the study area were collected consequently. On this basis, micro topographic factors, such as slope, aspect, shield factors, and the sky visible factors, were derived. The main atmospheric parameters were obtained by taking the spectrum curves of several typical objects into consideration. Finally, TM image terrain correction was rapidly completed, by applying topographic factors and atmospheric parameters to Richter mountains radiation models. The results indicated that this method could remarkably remove topographic effect, and also provide basic data for surface parameters retrieval of quantitative remote sensing in the rugged terrain.

[1]  Leonhard Blesius,et al.  The use of the Minnaert correction for land‐cover classification in mountainous terrain , 2005 .

[2]  Zhang Yanli,et al.  Preparation of High-resolution DEM in Dayekou Basin based on the WorldView-2 and Its Accuracy Analysis , 2013 .

[3]  Toshio Koike,et al.  Retrieval of snow reflectance from Landsat data in rugged terrain , 2002, Annals of Glaciology.

[4]  P. Deschamps,et al.  Evaluation of topographic effects in remotely sensed data , 1989 .

[5]  J. Dozier,et al.  Rapid calculation of terrain parameters for radiation modeling from digital elevation data , 1990 .

[6]  P. Chavez An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data , 1988 .

[7]  Qiang Liu,et al.  Modeling the land surface reflectance for optical remote sensing data in rugged terrain , 2008 .

[8]  J. Colby,et al.  Topographic Normalization in Rugged Terrain , 1991 .

[9]  Klaus I. Itten,et al.  A physically-based model to correct atmospheric and illumination effects in optical satellite data of rugged terrain , 1997, IEEE Trans. Geosci. Remote. Sens..

[10]  Ling Lu,et al.  Modification of solar radiation model over rugged terrain , 1999 .

[11]  R. Richter,et al.  Correction of satellite imagery over mountainous terrain. , 1998, Applied optics.

[12]  D. C. Robertson,et al.  MODTRAN cloud and multiple scattering upgrades with application to AVIRIS , 1998 .

[13]  María Amparo Gilabert,et al.  An atmospheric correction method for the automatic retrieval of surface reflectances from TM images , 1994 .

[14]  J. Hay,et al.  Estimating Solar Irradiance on Inclined Surfaces: A Review and Assessment of Methodologies , 1985 .

[15]  T. Bolch,et al.  Using ASTER and SRTM DEMs for studying geomorphology and glaciation in high mountain areas , 2005 .

[16]  R. Richter Correction of atmospheric and topographic effects for high spatial resolution satellite imagery , 1997 .

[17]  Z. Niu,et al.  Watershed Allied Telemetry Experimental Research , 2009 .

[18]  P. Chavez Image-Based Atmospheric Corrections - Revisited and Improved , 1996 .

[19]  Didier Tanré,et al.  Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview , 1997, IEEE Trans. Geosci. Remote. Sens..

[20]  S. Ekstrand,et al.  Landsat TM-based forest damage assessment : correction for topographic effects , 1996 .

[21]  M. Robson,et al.  Multiple Expert Systems For Using Digital Terrain Models , 1990, 10th Annual International Symposium on Geoscience and Remote Sensing.