ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2016, Vol. 13, No. 5, pp. 192-201

Radiometric correction for topography-induced distortions in land cover reflectance derived from satellite data

V.A. Egorov 1 , S.A. Bartalev 1 
1 Space Research Institute RAS, Moscow, Russia
Accepted: 19.10.2016
DOI: 10.21046/2070-7401-2016-13-5-192-201
The application of remote sensing techniques for mapping and monitoring of vegetation in regions with rugged terrain requires compensation of radiometric distortions in the surface reflectance measurements. The growing of surface reflectance variability due to topographical effects is an additional source of errors, resulting in lower accuracy of land cover mapping, its change detection and characteristics evaluation. The topographic normalization aims to transform the surface reflectance measurements of sloped earth's surface to its values at the potentially inherent horizontal flat position in order to reduce differences caused by slopes orientation and steepness. In this paper we propose a new method of topographic normalization of satellite images based on the Minnaert model with adaptive parameters fitting depending on the slope steepness. The proposed method was applied to satellite remote sensing data acquired by Proba-V instrument over Primorye Region. The paper presents the proposed method and experimental results of its evaluation.
Keywords: remote sensing, topographical normalization, Minnaert model, Proba-V
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References:

  1. Bartalev S.A., Egorov V.A., Ershov D.V., Isaev A.S., Loupian E.A., Plotnikov D.E., Uvarov I.A., Sputnikovoe kartografirovanie rastitel'nogo pokrova Rossii po dannym spektroradiometra MODIS (Satellite mapping of vegetation on Russia MODIS spectroradiometer data), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2011, Vol. 8, No. 4, pp. 285–302.
  2. Bartalev S.A., Egorov V.A., Zharko V.O., Loupian E.A., Plotnikov D.E., Khvostikov S.A., Sostoyanie i perspektivy razvitiya metodov sputnikovogo kartografirovaniya rastitel'nogo pokrova Rossii (Status and prospects of development of methods of satellite mapping of Russian landcover), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2015, Vol. 12, No. 5, pp. 203–221.
  3. Bartalev S.A., Egorov V.A., Il'in V.O., Loupian E.A., Sintez uluchshennykh sezonnykh izobrazhenii Severnoi Evrazii dlya kartografirovaniya i monitoringa dinamiki rastitel'nosti po dannym SPOT-VEGATATION (Synthesis of improved seasonal images of Northern Eurasia for mapping and monitoring vegetation dynamics according to the SPOT-VEGATATION), Distantsionnoe zondirovanie poverkhnosti Zemli i atmosfery, Irkutsk: ISZF SO RAN, 2004, Vol. 5, pp. 12–14.
  4. Bartalev S.A., Egorov V.A., Loupian E.A., Plotnikov D.E., Uvarov I.A., Raspoznavanie pakhotnykh zemel' na osnove mnogoletnikh sputnikovykh dannykh spektroradiometra MODIS i lokal'no-adaptivnoi klassifikatsii (Recognition of arable land on the basis of long-term satellite data MODIS sensor and locally-adaptive classification), Komp'yuternaya optika, Samara: ISOI RAN, 2011, Vol. 35, No. 1, pp. 103–116.
  5. Loupian E.A., Proshin A.A., Burtsev M.A., Balashov I.V., Bartalev S.A., Efremov A.V., Kashnitskii V.Yu., Mazurov A.A., Matveev A.M., Sudneva O.A., Sychugov I.G., Tolpin V.A., Uvarov I.A., Tsentr kollektivnogo pol'zovaniya sistemami arkhivatsii, obrabotki i analiza sputnikovykh dannykh IKI RAN dlya resheniya zadach izucheniya i monitoringa okruzhayushchei sredy (Center for collective use of backup systems, processing and analysis of satellite data for IKI solution study and environmental monitoring applications environment), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2015, Vol. 5, pp. 263–284.
  6. Chavez P.S. Jr., Image-based atmospheric corrections – revisited and improved, Photogrammetric Engineering & Remote Sensing, 1996, Vol. 62 (9), pp. 1025–1036.
  7. Civco D.L., Topographic normalization of Landsat thematic mapper digital imagery, Photogram. Eng. Remote Sens., 1989, Vol. 55, pp. 1303–1309.
  8. Dymond J.R., Shepherd J.D., Correction of the topographic effect in remote sensing, IEEE Trans. Geosci. Remote Sens., 1999, Vol. 37, pp. 2618–2620.
  9. Ekstrand S., Landsat TM-based forest damage assessment: Correction for topographic effects, Photogram. Eng. Remote Sens., 1996, Vol. 62, 51–161.
  10. Gao Y.N., Zhang W.C., Comparison test and research progress of topographic correction on remotely sensed data, Geogr. Res., 2008a, Vol. 27, pp. 467–477.
  11. Gao Y.N., Zhang W.C., Simplification and modification of a physical topographic correction algorithm for remotely sensed data, Acta Geodaet. Cartogr. Sin., 2008b, Vol. 37, pp. 89–94.
  12. Gao M., Zhao W., Gong Zh., Gong H., Chen Zh., Tang X., Topographic Correction of ZY-3 Satellite Images and Its Effects on Estimation of Shrub Leaf Biomass in Mountainous Areas, Remote Sens, 2014, No. 6, pp. 2745–2764.
  13. Gu D., Gillespie A., Topographic normalization of Landsat TM images of forest based on subpixel Sun-Canopy-Sensor geometry, Remote Sens. Environ, 1998, Vol. 64, pp. 166–175.
  14. Huang W., Zhang L.P., Li P.X., An improved topographic correction approach for satellite image, J. Image Graph., 2005, Vol. 10, pp. 1124–1128.
  15. Lu D., Ge H., He Sh., Xu A., Zhou G., Du H., Pixel-based Minnaert Correction Method for Reducing Topographic Effects on a Landsat-7 ETM+ Image, Photogrammetric Engineering & Remote Sensing, 2008, Vol. 74, No. 11, pp. 1343–1350.
  16. Reeder D.H., Topographic Correction of Satellite Images: Theory and Application. Ph. D. Thesis, Dartmouth College, Hanover, NH, USA, 2002, 153 p.
  17. Smith J.A., Lin T.L., Ranson K.J., The Lambertian assumption and Landsat data, Photogramm. Eng. Remote Sens., 1980, Vol. 46, pp. 1183–1189.
  18. Soenen S.A., Peddle D.R., Coburn C.A., SCS+C: A modified Sun-Canopy-Sensor topographic correction in forested terrain, IEEE Trans. Geosci. Remote Sens., 2005, Vol. 43, pp. 2148–2159.
  19. Stijn H., Emilio C., Evaluation of different topographic correction methods for Landsat imagery, Int. J. Appl. Earth Observ. Geoinf., 2011, Vol. 13, pp. 691–700.
  20. Teillet P.M., Guindon B., Goodenough D.G., On the slope-aspect correction of multispectral scanner data, J. Remote Sens., 1982, Vol. 8, pp. 84–106.
  21. Vermote E.D., Tanre J.L., Deuze M., Herman J.J., Morcrette Second simulation of the satellite signal in the solar spectrum, 6S An overview, IEEE Transactions on Geoscience and Remote Sensing, 1997, Vol. 35, pp. 675–686.
  22. Vincini M., Reeder D., Frazzi E., An Empirical Topographic Normalization Method for Forest TM Data, In Proceedings of the 2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Toronto, Canada, 24–28 June 2002, Vol. 4, pp. 2091–2093.