Literature DB >> 18273372

Correction of satellite imagery over mountainous terrain.

R Richter.   

Abstract

A method for the radiometric correction of satellite imagery over mountainous terrain has been developed to remove atmospheric and topographic effects. The algorithm accounts for horizontally varying atmospheric conditions and also includes the height dependence of the atmospheric radiance and transmittance functions to simulate the simplified properties of a three-dimensional atmosphere. A database has been compiled that contains the results of radiative transfer calculations (atmospheric transmittance, path radiance, direct and diffuse solar flux) for a wide range of weather conditions. A digital elevation model is used to obtain information about surface elevation, slope, and orientation. Based on the Lambertian assumption the surface reflectance in rugged terrain is calculated for the specified atmospheric conditions. Regions with extreme illumination geometries sensitive to BRDF effects can be optionally processed separately. The method is restricted to high spatial resolution satellite sensors with a small swath angle such as the Landsat thematic mapper and Systeme pour l'Observation de la Terre high resolution visible, since some simplifying assumptions were made to reduce the required image processing time.

Entities:  

Year:  1998        PMID: 18273372     DOI: 10.1364/ao.37.004004

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  8 in total

1.  A comparative assessment of land cover dynamics of three protected forest areas in tropical eastern Africa.

Authors:  Tobias Lung; Gertrud Schaab
Journal:  Environ Monit Assess       Date:  2009-03-28       Impact factor: 2.513

2.  A comparison of radiometric correction techniques in the evaluation of the relationship between LST and NDVI in Landsat imagery.

Authors:  Kok Chooi Tan; Hwee San Lim; Mohd Zubir Matjafri; Khiruddin Abdullah
Journal:  Environ Monit Assess       Date:  2011-07-15       Impact factor: 2.513

3.  Atmospheric Correction Inter-comparison eXercise.

Authors:  Georgia Doxani; Eric Vermote; Jean-Clause Roger; Ferran Gascon; Stefan Adriaensen; David Frantz; Olivier Hagolle; André Hollstein; Grit Kirches; Fuqin Li; Jerome Louis; Antoine Mangin; Nima Pahleva; Bringfried Pflug; Quinten Vanhellmont
Journal:  Remote Sens (Basel)       Date:  2018-02-24       Impact factor: 4.848

4.  Discrepancy Between ASTER- and MODIS- Derived Land Surface Temperatures: Terrain Effects.

Authors:  Yuanbo Liu; Yousuke Noumi; Yasushi Yamaguchi
Journal:  Sensors (Basel)       Date:  2009-02-17       Impact factor: 3.576

5.  Unveiling Undercover Cropland Inside Forests Using Landscape Variables: A Supplement to Remote Sensing Image Classification.

Authors:  Yohannes Ayanu; Christopher Conrad; Anke Jentsch; Thomas Koellner
Journal:  PLoS One       Date:  2015-06-22       Impact factor: 3.240

6.  Classification Metrics for Improved Atmospheric Correction of Multispectral VNIR Imagery.

Authors:  Rudolf Richter
Journal:  Sensors (Basel)       Date:  2008-11-05       Impact factor: 3.576

7.  Improving the Accuracy of Urban Environmental Quality Assessment Using Geographically-Weighted Regression Techniques.

Authors:  Kamil Faisal; Ahmed Shaker
Journal:  Sensors (Basel)       Date:  2017-03-07       Impact factor: 3.576

8.  Data Products, Quality and Validation of the DLR Earth Sensing Imaging Spectrometer (DESIS).

Authors:  Kevin Alonso; Martin Bachmann; Kara Burch; Emiliano Carmona; Daniele Cerra; Raquel de Los Reyes; Daniele Dietrich; Uta Heiden; Andreas Hölderlin; Jack Ickes; Uwe Knodt; David Krutz; Heath Lester; Rupert Müller; Mary Pagnutti; Peter Reinartz; Rudolf Richter; Robert Ryan; Ilse Sebastian; Mirco Tegler
Journal:  Sensors (Basel)       Date:  2019-10-15       Impact factor: 3.576

  8 in total

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