Multi-criteria evaluation of topographic correction methods

Remote Sensing of Environment

Volumn 184, Issue , 2016, Pages 247-262

  Sola, Ion ^a   González Audícana, María ^a   Álvarez Mozos, Jesús ^a  

^a PUBLIC UNIVERSITY OF NAVARRE   (Spain)

Author keywords

Comparison; Evaluation; Multi criteria; Topographic correction

Indexed keywords

IMAGE ACQUISITION;

COMPARISON; EVALUATION; ILLUMINATION CONDITIONS; INTER QUARTILE RANGES; MULTI CRITERIA ANALYSIS; MULTI-CRITERIA; MULTI-CRITERIA EVALUATION; TOPOGRAPHIC CORRECTION;

QUALITY CONTROL;

COMPARATIVE STUDY; CORRECTION; LAND COVER; MULTICRITERIA ANALYSIS; NUMERICAL METHOD; SENSOR; SPOT;

SPAIN;

EID: 84978370284     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2016.07.002     Document Type: Article

References (58)

1. Balthazar, V., Vanacker, V., Lambin, E.F., Evaluation and parameterization of ATCOR3 topographic correction method for forest cover mapping in mountain areas. International Journal of Applied Observation and Geoinformation 18 (2012), 436–450.
2. Baraldi, A., Gironda, M., Simonetti, D., Operational two-stage stratified topographic correction of spaceborne multispectral imagery employing an automatic spectral-rule-based decision-tree preliminary classifier. IEEE Transactions on Geoscience and Remote Sensing 48 (2010), 112–146.
3. Bishop, M.P., Colby, J.D., Anisotropic reflectance correction of SPOT-3 HRV imagery. International Journal of Remote Sensing 23 (2002), 2125–2131.
4. Bishop, M.P., Shroder, J.F. Jr., Colby, J.D., Remote sensing and geomorphometry for studying relief production in high mountains. Geomorphology 55 (2003), 345–361.
5. Blesius, L., Weirich, F., The use of the Minnaert correction for land-cover classification in mountainous terrain. International Journal of Remote Sensing 26 (2005), 3831–3851.
6. Brunet, D., Vrscay, E.R., Wang, Z., On the mathematical properties of the structural similarity index. IEEE Transactions on Image Processing 21:4 (2012), 1488–1499.
7. Civco, D.L., Topographic normalization of Landsat thematic mapper digital imagery. Photogrammetric Engineering & Remote Sensing 55 (1989), 1303–1309.
8. Ekstrand, S., Landsat TM-based forest damage assessment: Correction for topographic effects. Photogrammetric Engineering & Remote Sensing 62 (1996), 151–161.
9. Fan, Y., Koukal, T., Weisberg, P.J., A sun–crown–sensor model and adapted C-correction logic for topographic correction of high resolution forest imagery. ISPRS Journal of Photogrammetry and Remote Sensing 96 (2014), 94–105.
10. Gao, M.L., Zhao, W.J., Gong, Z.N., Gong, H.L., Chen, Z., Tang, X.M., Topographic correction of ZY-3 satellite images and its effects on estimation of shrub leaf biomass in mountainous areas. Remote Sensing 6 (2014), 2745–2764.
11. Ghasemi, N., Mohammadzadeh, A., Reza Sahebi, M., Assessment of different topographic correction methods in ALOS AVNIR-2 data over a forest area. International Journal of Digital Earth 6 (2013), 504–520.
12. Gobierno Vasco (2007). Cartografía de hábitats, vegetación actual y usos del suelo de la Comunidad Autónoma del País Vasco. (URL: http://www.geo.euskadi.eus/geograficos/habitats-vegetacion-actual-y-usos-del-suelo/s69-geodir/es/ (accessed 04/2015)).
13. Gobierno Vasco (2010). Mapa forestal del País Vasco. Año 2010 (URL: http://www.geo.euskadi.eus/s69-geodir/es/contenidos/ds_geograficos/md_ideeu_invent_fores_2010/es_def/index.shtml (accessed 01/2016)).
14. Goslee, S.C., Topographic corrections of satellite data for regional monitoring. Photogrammetric Engineering & Remote Sensing 78 (2012), 973–981.
15. Gu, D., Gillespie, A., Topographic normalization of Landsat TM images of forest based on subpixel sun-canopy-sensor geometry. Remote Sensing of Environment 64 (1998), 166–175.
16. Hantson, S., Chuvieco, E., Evaluation of different topographic correction methods for Landsat imagery. International Journal of Applied Observation and Geoinformation 13 (2011), 691–700.
17. Hoshikawa, K., Umezaki, M., Effects of terrain-induced shade removal using global DEM data sets on land-cover classification. International Journal of Remote Sensing 35 (2014), 1331–1355.
18. Kane, V.R., Gillespie, A.R., McGaughey, R., Lutz, J.A., Ceder, K., Franklin, J.F., Interpretation and topographic compensation of conifer canopy self-shadowing. Remote Sensing of Environment 112 (2008), 3820–3832.
19. Kobayashi, S., Sanga-Ngoie, K., The integrated radiometric correction of optical remote sensing imageries. International Journal of Remote Sensing 29 (2008), 5957–5985.
20. Kobayashi, S., Sanga-Ngoie, K., A comparative study of radiometric correction methods for optical remote sensing imagery: the IRC vs. other image-based C-correction methods. International Journal of Remote Sensing 30:2 (2009), 285–314.
21. Law, K.H., Nichol, J., Topographic correction for differential illumination effects on IKONOS satellite imagery. The international archives of the photogrammetry, remote sensing and spatial information sciences, 2004, 641–646.
22. Lu, D., Ge, H., He, S., 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 74 (2008), 1343–1350.
23. Mariotto, I., Gutschick, V.P., Non-Lambertian corrected albedo and vegetation index for estimating land evapotranspiration in a heterogeneous semi-arid landscape. Remote Sensing 2 (2010), 926–938.
24. Minnaert, M., The reciprocity principle in lunar photometry. Astrophysical Journal 93 (1941), 403–410.
25. Moreira, E.P., Valeriano, M.M., Application and evaluation of topographic correction methods to improve land cover mapping using object-based classification. International Journal of Applied Earth Observation and Geoinformation 32 (2014), 208–217.
26. Nagol, J.R., Sexton, J.O., Kim, D.-H., Anand, A., Morton, D., Vermote, E., Townshend, J.R., Bidirectional effects in Landsat reflectance estimates: Is there a problem to solve?. ISPRS Journal of Photogrammetry and Remote Sensing 103 (2015), 129–135.
27. Nichol, J., Hang, L.K., Sing, W.M., Empirical correction of low Sun angle images in steeply sloping terrain: A slope-matching technique. International Journal of Remote Sensing 27 (2006), 629–635.
28. Notarnicola, C., Callegari, M., De Gregorio, L., Sonnenschein, R., Remelgado, R., Ventura, B., A novel topographic correction for high and medium resolution images by using combined solar radiation. Proceedings, IGARSS 2014 symposium, Québec, Canada, 2014, 1053–1056.
29. Reese, H., Olsson, H., C-correction of optical satellite data over alpine vegetation areas: A comparison of sampling strategies for determining the empirical c-parameter. Remote Sensing of Environment 115 (2011), 1387–1400.
30. Riaño, D., Chuvieco, E., Salas, J., Aguado, I., Assessment of different topographic corrections in Landsat-TM data for mapping vegetation types. IEEE Transactions on Geoscience and Remote Sensing 41 (2003), 1056–1061.
31. Richter, R., Correction of satellite imagery over mountainous terrain. Applied Optics 37 (1998), 4004–4015.
32. Richter, R., Kellenberger, T., Kaufmann, H., Comparison of topographic correction methods. Remote Sensing 1 (2009), 184–196.
33. Sandmeier, S., Itten, K.I., 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 (1997), 708–717.
34. Schulmann, T., Katurji, M., Zawar-Reza, P., Seeing through shadow: Modelling surface irradiance for topographic correction of Landsat ETM + data. ISPRS Journal of Photogrammetry and Remote Sensing 99 (2015), 14–24.
35. Shepherd, J.D., Dymond, J.R., Gillingham, S., Bunting, P., Accurate registration of optical satellite imagery with elevation models for topographic correction. Remote Sensing Letters 5 (2014), 637–641.
36. Smith, J.A., Lin, T.L., Ranson, K.J., The Lambertian assumption and Landsat data. Photogrammetric Engineering & Remote Sensing 46 (1980), 1183–1189.
37. Soenen, S.A., Peddle, D.R., Coburn, C.A., SCS + C: A modified sun-canopy-sensor topographic correction in forested terrain. IEEE Transactions on Geoscience and Remote Sensing 43 (2005), 2148–2159.
38. Soenen, S.A., Peddle, D.R., Coburn, C.A., Hall, R.J., Hall, F.G., Improved topographic correction of forest image data using a 3-D canopy reflectance model in multiple forward mode. International Journal of Remote Sensing 29 (2008), 1007–1027.
39. Soenen, S.A., Peddle, D.R., Coburn, C.A., Hall, R.J., Hall, F.G., Canopy reflectance model inversion in multiple forward mode: Forest structural information retrieval from solution set distributions. Photogrammetric Engineering & Remote Sensing 75 (2009), 361–374.
40. Sola, I., González‐Audícana, M., Álvarez-Mozos, J., Torres, J.L., Synthetic images for evaluating topographic correction algorithms. IEEE Transactions on Geoscience and Remote Sensing 52 (2014), 1799–1810.
41. Szantoi, Z., Simonetti, D., Fast and robust topographic correction method for medium resolution satellite imagery using a stratified approach. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6 (2013), 1921–1933.
42. Tan, B., Masek, J.G., Wolfe, R., Gao, F., Huang, C., Vermote, E.F., Sexton, J.O., Ederer, G., Improved forest change detection with terrain illumination corrected Landsat images. Remote Sensing of Environment 136 (2013), 469–483.
43. Teillet, P.M., Guindon, B., Goodenough, D.G., On the slope-aspect correction of multispectral scanner data. Canadian Journal of Remote Sensing 8 (1982), 84–106.
44. Tokola, T., Sarkeala, J., Van der Linden, M., Use of topographic correction in Landsat TM-based forest interpretation in Nepal. International Journal of Remote Sensing 22 (2001), 551–563.
45. Twele, A., Erasmi, S., Evaluating topographic correction algorithms for improved land cover discrimination in mountainous areas of central Sulawesi. Erasmi, S., Cyffka, B., Kappas, (eds.) Remote sensing & GIS for environmental studies, 2005 Göttingen.
46. Vanonckelen, S., Lhermitte, S., Balthazar, V., Van Rompaey, A., Performance of atmospheric and topographic correction methods on Landsat imagery in mountain areas. International Journal of Remote Sensing 35 (2014), 4952–4972.
47. Vanonckelen, S., Lhermitte, S., Van Rompaey, A., The effect of atmospheric and topographic correction methods on land cover classification accuracy. International Journal of Applied Earth Observation and Geoinformation 24 (2013), 9–21.
48. Vanonckelen, S., Lhermitte, S., Van Rompaey, A., The effect of atmospheric and topographic correction on pixel-based image composites: Improved forest cover detection in mountain environments. International Journal of Applied Earth Observation and Geoinformation 35:Part B (2015), 320–328.
49. Veraverbeke, S., Verstraeten, W.W., Lhermitte, S., Goossens, R., Illumination effects on the differenced Normalized Burn Ratio's optimality for assessing fire severity. International Journal of Applied Observation and Geoinformation 12 (2010), 60–70.
50. Vicente-Serrano, S.M., Pérez-Cabello, F., Lasanta, T., Assessment of radiometric correction techniques in analyzing vegetation variability and change using time series of Landsat images. Remote Sensing of Environment 112 (2008), 3916–3934.
51. Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P., Image quality assessment: from error visibility to structural similarity. IEEE Transactions on Image Processing 13 (2004), 600–612.
52. Wang, Z., Bovik, A.C., Simoncelli, E.P., Handbook of image and video processing. second ed., 2005, Academic Press, Inc., Orlando, FL, USA.
53. Wu, J., Bauer, M.E., Wang, D., Manson, S.M., A comparison of illumination geometry-based methods for topographic correction of QuickBird images of an undulant area. ISPRS Journal of Photogrammetry and Remote Sensing 63 (2008), 223–236.
54. Zhang, W.C., Gao, Y.N., LULC Classification and Topographic Correction of Landsat-7 ETM + Imagery in the Yangjia River Watershed: the Influence of DEM Resolution. Sensors 9 (2009), 1980–1995.
55. Zhang, W.C., Gao, Y.N., A simple empirical topographic correction method for ETM plus imagery. International Journal of Remote Sensing 30 (2009), 2259–2275.
56. Zhang, W.C., Gao, Y.N., Topographic correction algorithm for remotely sensed data accounting for indirect irradiance. International Journal of Remote Sensing 32 (2011), 1807–1824.
57. Zhang, Z.M., De Wulf, R.R., Van Coillie, F.M.B., Verbeke, L.P.C., De Clercq, E.M., Ou, X.K., Influence of different topographic correction strategies on mountain vegetation classification accuracy in the Lancang Watershed, China. Journal of Applied Remote Sensing 5 (2011), 1–22.
58. Zhang, Y., Yan, G., Bai, Y., Sensitivity of topographic correction to the DEM Spatial Scale. IEEE Geoscience and Remote Sensing Letters 12 (2015), 53–57.