Assessment of different topographic correction methods in ALOS AVNIR-2 data over a forest area

International Journal of Digital Earth

Volumn 6, Issue 5, 2013, Pages 504-520

  Ghasemi, Nafiseh ^a   Mohammadzadeh, Ali ^a   Sahebi, Mahmod Reza ^a  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

ALOS AVNIR 2; C; Cosine; digital earth; forest; Minnaert; modified Minnaert; pixel based Minnaert; SCS; topographic correction

Indexed keywords

CESIUM; PIXELS; SATELLITE IMAGERY; SCANDIUM; TOPOGRAPHY;

ALOS AVNIR-2; COSINE; DIGITAL EARTH; FOREST; MINNAERT; MODIFIED MINNAERT; TOPOGRAPHIC CORRECTION;

FORESTRY;

ALOS; AVNIR; CORRECTION; FOREST; SATELLITE DATA; SATELLITE IMAGERY; TOPOGRAPHIC EFFECT;

EID: 84882663328     PISSN: 17538947     EISSN: 17538955     Source Type: Journal    
DOI: 10.1080/17538947.2011.625049     Document Type: Article

References (35)

1. Belsius, L. and Weirich, F., 2005. The use of the Minnaert correction for land-cover classification in mountainous terrain. International Journal of Remote Sensing, 26, 3831 - 3851.
2. Bishop, M.P. and Colby, J.D. 2002. Anisotropic reflectance correction of SPOT-3 HRV imagery. International Journal of Remote Sensing, 23: 2125 - 2131.
3. Bishop, M.P., Shroder, J.F. Jr and Colby, J.D. 2003. Remote sensing and geomorphometry for studying relief production in high mountains. Geomorphology, 55: 345 - 361.
4. Chavez, P.S., 1988. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment, 24, 459 - 479.
5. Chavez, P.S., 1996. Image-based atmospheric corrections - revisited and improved. Photogrammetric Engineering and Remote Sensing, 62, 1025 - 1036.
6. Civco, D., 1989. Topographic normalization of Landsat Thematic Mapper digital imagery. Photogrammetric Engineering and Remote Sensing, 55, 1303 - 1309.
7. Colby, J.D., 1991. Topographic normalization in rugged terrain. Photogrammetric Engineering and Remote Sensing, 57, 531 - 537.
8. Conese, C. et al., 1993. Topographic normalization of TM scenes through the use of an atmospheric correction method and digital terrain models. Photogrammetric Engineering and Remote Sensing, 59, 1745 - 1753.
9. Dymond, J.R. and Shepard, J.D., 1999. Comment on 'Topographic normalization of Landsat TM images of forest based on subpixel sun canopy-sensor geometry' by Gu and Gillespie. Remote Sensing of Environment, 194, 166 - 175.
10. Ekstrand, S., 1996. Landsat-TM based forest damage assessment: correction for topographic effects. Photogrammetric Engineering and Remote Sensing, 62, 151 - 161.
11. Fadhil, A.M. 2010. Drought mapping using Geoinformation technology for some sites in the Iraqi Kurdistan region. International Journal of Digital Earth, 4: 239 - 257.
12. Gu, D. and Gillespie, A., 1998. Topographic normalization of Landsat TM images of forest based on subpixel Sun-Canopy-sensor geometry. Remote Sensing of Environment, 64, 166 - 175.
13. Gu, D. and Gillespie, A. 1999. Response to Dymond and Shepard's comment on 'Topographic normalization of Landsat TM images of forest based on subpixel Sun-Canopy-sensor geometry. Remote Sensing of Environment, 69, 195 - 196.
14. Itten, K.I. and Meyer, P., 1992. Geometric and radiometric correction of TM data of mountainous forested areas. IEEE Transactions on Geoscience and Remote Sensing, 16, 764 - 770.
15. Jansa, J., 1998. A global topographic normalization algorithm for satellite images. In: Proceedings of the 'ISPRS Commission VII Symposium on Resource and Environmental Monitoring', 1-4 September, Budapest, Hungary. Hamburg: CENSIS.
16. Justice, C., Wharton, S., and Holben, B., 1981. Application of digital terrain data to quantify and reduce the topographic effect on Landsat data. International Journal of Remote Sensing, 2, 213 - 230.
17. Kruse, F.A. 1993. The spectral image processing system (SIPS) - interactive visualization and analysis of imaging spectrometer data. Remote Sensing of Environment, 44: 145 - 163.
18. Leprieur, C., Durand, J.M. and Peyron, J.L. 1988. Influence of topography on forest reflectance using Landsat Thematic Mapper and digital terrain data. Photogrammetric Engineering and Remote Sensing, 54: 491 - 496.
19. Lu, D. 2008. Pixel-based Minnaert correction method for reducing topographic effects on a Landsat 7 ETM+ image. Photogrammetric Engineering and Remote Sensing, 74: 1343 - 1350.
20. Meyer, P., et al., 1993. Radiometric corrections of topographically induced effects on Landsat TM data in an alpine environment. ISPRS Journal of Photogrammetry and Remote Sensing, 48, 17 - 28.
21. Mohammadi, J., et al., 2010. Modelling forest stand volume and tree density using Landsat ETM+ data. International Journal of Remote Sensing, 31, 2959 - 2975.
22. Panagos, P. 2011. Monthly soil erosion monitoring based on remotely sensed biophysical parameters: a case study in Strymonas river basin towards a functional pan-European service. International Journal of Digital Earth, 2: 196 - 220.
23. Riano, D., et al., 2003. Assessment of different topographic corrections in Landsat TM data for mapping vegetation types. IEEE Transactions on Geoscience and Remote Sensing, 41, 1056 - 1061.
24. Richter, R., 1998. Correction of satellite imagery over mountainous terrain. Applied Optics, 37, 4004 - 4015.
25. Richter, R., 2009. Report DLR-IB 565-01/09 [online]. Available from Atmospheric/Topographic Correction for Satellite Imagery: ftp://ftp.dfd.dlr.de/put/richter/ATCOR/ [Accessed 17 September 2010].
26. Richter, R., Kellenberger, T., and Kaufmann, H., 2009. Comparison of topographic correction methods. Remote Sensing, 1, 184 - 196.
27. Sandmeier, S. and Itten, K., 1997. A physically-based model to correct atmospheric and illumination effects in optical satellite data of rugged terrain. IEEE Transactions on Geoscience and Remote Sensing, 35, 708 - 717.
28. Shataee Joibary, S., and Darvishsefat, A.A., 2004. Forest type classification improvement using spatial predictive distribution models. Proceedings of the "21st International Symposium on Remote Sensing of Environment", 25-29 April. St Petersburg, Russia. Michigan: Erim Intl Inc.
29. Shataee Joibary, S., Darvishsefat, A.A., and Kellenberger, T.W., 2007. Forest type mapping using incorporation of spatial models and ETM+ data. Pakistan Journal of Biological Sciences, 10, 2292 - 2299.
30. Shepherd, J. and Dymond, J., 2003. Correcting satellite imagery for the variance of reflectance and illumination with topography. International Journal of Remote Sensing, 24, 3503 - 3514.
31. Soenen, S.A., Peddle, D.R., and Coburn, C.A., 2005. SCS+C: a modified Sun-Canopy-sensor topographic correction in forested terrain. IEEE Transactions on Geoscience and Remote Sensing, 43, 2148 - 2159.
32. Teillet, P., Guindon, B., and Goodenough, D., 1982. On the slope-aspect correction of multispectral scanner data. Canadian Journal of Remote Sensing, 8, 84 - 106.
33. Thomson, A.G. and Jones, C. 1990. Effects of topography on radiance from upland vegetation in North Wales. International Journal of Remote Sensing, 11: 829 - 840.
34. Tokola, T., Sarkeala, J., and van der Linden, M., 2001. Use of topographic correction in Landsat TM-based forest interpretation in Nepal. International Journal of Remote Sensing, 22, 551 - 563.
35. Wylie, B. et al., 2008. Integrating modelling and remote sensing to identify ecosystem performance anomalies in the boreal forest, Yukon River Basin, Alaska. International Journal of Digital Earth, 1, 1 - 27.