Artículo

Paolini, L.; Grings, F.; Sobrino, J.; Jiménez Muñoz, J.C.; Karszenbaum, H. "Radiometric correction effects in Landsat multi-date/multi-sensor change detection studies" (2006) International Journal of Remote Sensing. 27(4):685-704
Estamos trabajando para incorporar este artículo al repositorio
Consulte el artículo en la página del editor
Consulte la política de Acceso Abierto del editor

Abstract:

Radiometric corrections serve to remove the effects that alter the spectral characteristics of land features, except for actual changes in ground target, becoming mandatory in multi-sensor, multi-date studies. In this paper, we evaluate the effects of two types of radiometric correction methods (absolute and relative) for the determination of land cover changes, using Landsat TM and Landsat ETM+ images. In addition, we present an improvement made to the relative correction method addressed. Absolute correction includes a cross-calibration between TM and ETM+ images, and the application of an atmospheric correction protocol. Relative correction normalizes the images using pseudo-invariant features (PIFs) selected through band-to-band PCA analysis. We present a new algorithm for PIFs selection in order to improve normalization results. A post-correction evaluation index (Quadratic Difference Index (QD)), and post-classification and change detection results were used to evaluate the performance of the methods. Only the absolute correction method and the new relative correction method presented in this paper show good post-correction and post-classification results (QD index ≈ 0; overall accuracy >80%; kappa >0.65) for all the images used. Land cover change estimations based on uncorrected images present unrealistic change rates (two to three times those obtained with corrected images), which highlights the fact that radiometric corrections are necessary in multi-date multi-sensor land cover change analysis. © 2006 Taylor & Francis.

Registro:

Documento: Artículo
Título:Radiometric correction effects in Landsat multi-date/multi-sensor change detection studies
Autor:Paolini, L.; Grings, F.; Sobrino, J.; Jiménez Muñoz, J.C.; Karszenbaum, H.
Filiación:Laboratorio de Investigaciones Ecolégicas de las Yungas, Universidad Nacional de Tucumán, Casilla de Correo 34, 4107 Yerba Buena, Tucumán, Argentina
Instituto de Astronomía y Física del Espacio, Universidad Nacional de Buenos Aires-CONICET, 1428 Buenos Aires, Argentina
Departamento de Termodinámica, Facultad de Física, Universidad de Valencia, Dr. Moliner 50, 46100 Burjassot, Spain
Palabras clave:Algorithms; Calibration; Principal component analysis; Radiometry; Sensor data fusion; Absolute correction; Multi-date studies; Multi-sensor studies; Radiometric correction; Relative correction; Remote sensing; Landsat; radiometric method; remote sensing
Año:2006
Volumen:27
Número:4
Página de inicio:685
Página de fin:704
DOI: http://dx.doi.org/10.1080/01431160500183057
Título revista:International Journal of Remote Sensing
Título revista abreviado:Int. J. Remote Sens.
ISSN:01431161
CODEN:IJSED
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01431161_v27_n4_p685_Paolini

Referencias:

  • Abuelgasim, A.A., Ross, W.D., Gopal, S., Woodcock, C.E., Change detection using adaptive fuzzy neural networks: Environmental damage assessment after the Gulf War (1999) Remote Sensing of Environment, 70, pp. 208-223
  • Blodgett, T.A., Erosion rate on the NE escarpment of the Eastern Cordillera, Bolivia derived from aerial photographs and thematic mapper images (1998), PhD thesis. Cornell University; Cabrera, A.L., Willink, A., (1980) Biogeografía De América Latina, , Organización de Estados Americanos
  • Chavez, P.S., Image-based atmospheric correction - Revisited and improved (1996) Photogrammetric Engineering and Remote Sensing, 62, pp. 1025-1036
  • Collins, J.B., Woodcock, C.E., An assessment of several linear change detection techniques for mapping forest mortality using multitemporal Landsat TM data (1996) Remote Sensing of Environment, 56, pp. 66-77
  • Coppin, P.R., Bauer, M.E., Digital change detection in forest ecosystems with remote sensing imagery (1996) Remote Sensing of Environment, 13, pp. 207-234
  • Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B., Lambin, E., Digital change detection methods in ecosystem monitoring: A review (2004) International Journal of Remote Sensing, 25, pp. 1565-1696
  • Du, Y., Teillet, P.M., Cihlar, J., Radiometric normalization of multitemporal high-resolution satellite images with quality control for land cover change detection (2002) Remote Sensing of Environment, 82, pp. 123-134
  • Foody, G.M., Status of land cover classification accuracy assessment (2002) Remote Sensing of Environment, 80, pp. 185-201
  • Foody, G.M., Remote sensing of tropical forest environments: Towards the monitoring of environmental resources for sustainable development (2003) International Journal of Remote Sensing, 24, pp. 4035-4046
  • Fuller, R.M., Smith, G.M., Devereux, B.J., The characterization and measurement of land cover through remote sensing: Problems in operational applications? (2003) International Journal of Applied Earth Observation and Geoinformation, 4, pp. 243-253
  • Grau, H.R., Regional-scale spatial patterns of fire in relation to rainfall gradients in sub-tropical mountains, NW Argentina (2001) Global Ecology and Biogeography, 10, pp. 133-146
  • Grau, H.R., Easdale, T.A., Paolini, L., Subtropical dendroeclogy: Dating disturbances and forest dynamics in northwestern Argentina mountain ecosystems (2003) Forest Ecology and Management, 177, pp. 131-143
  • Helmer, E.H., Brown, S., Cohen, W.B., Mapping mountain tropical forest successional stage and land use with multi-date Landsat imagery (2000) International Journal of Remote Sensing, 21, pp. 2163-2183
  • Kaufman, Y.J., The atmospheric effect on remote sensing and its correction (1989) Theory and Application of Optical Remote Sensing, pp. 336-424. , New York: Wiley
  • Kerr, J.T., Ostrovsky, M., From space to species: Ecological applications for remote sensing (2003) Trends in Ecology and Evolution, 18, pp. 299-305
  • Lu, D., Mausel, P., Brondizio, E., Moran, E., Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research (2002) International Journal of Remote Sensing, 23, pp. 2651-2671
  • Lunetta, R.S., Ediriwickrema, J., Johnson, D.M., Lyon, J.G., McKerrow, A., Impacts of vegetation dynamics on the identification of land-cover change in a biologically complex community in North Carolina, USA (2002) Remote Sensing of Environment, 82, pp. 258-270
  • Miller, J.D., Yool, S.R., Mapping forest post-fire canopy consumption in several overstory types using multi-temporal Landsat TM and ETM data (2002) Remote Sensing of Environment, 82, pp. 481-496
  • Muchoney, D.M., Haack, B.N., Change detection for monitoring forest defoliation (1994) Photogrammetric Engineering and Remote Sensing, 60, pp. 1243-1251
  • Muchoney, D.M., Strahler, A.H., Pixel-and site-based calibration and validation methods for evaluating supervised classification of remotely sensed data (2001) Remote Sensing of Environment, 81, pp. 290-299
  • Mukai, Y., Hasegawa, I., Extraction of damaged areas of windfall trees by typhoons using Landsat TM data (2000) International Journal of Remote Sensing, 21, pp. 647-654
  • Paolini, L., Sobrino, J.A., Jimenez, J.C., Detección de deslizamientos de ladera mediante imágenes Landsat TM: El impacto de estos disturbios sobre los bosques subtropicales del Noroeste de Argentina (2002) Revista De Teledetección, 18, pp. 21-27
  • Pax-Lenney, M., Woodcock, C.E., Macomber, S.A., Gopal, S., Song, C., Forest mapping with a generalized classifier and Landsat TM data (2001) Remote Sensing of Environment, 77, pp. 241-250
  • Ress, W.G., Williams, M., Vitebsky, P., Mapping land cover change in a reindeer herding area of the Russian Arctic using Landsat TM and ETM+ imagery and indigenous knowledge (2003) Remote Sensing of Environment, 85, pp. 441-452
  • Richards, J.A., Jia, X., (1999) Remote Sensing Digital Image Analysis - An Introduction, , Berlin: Springer. 3rd ed
  • Rogan, J., Franklin, J., Roberts, D.A., A comparison of methods for monitoring multitemporal change using Thematic Mapper Imagery (2002) Remote Sensing of Environment, 80, pp. 143-156
  • Rogan, J., Yool, S.R., Mapping fire-induced vegetation depletion in the Peloncillo Mountains, Arizona and New Mexico (2001) International Journal of Remote Sensing, 22, pp. 3101-3121
  • Scanlon, T.M., Albertson, J.D., Caylor, K.K., Williams, C.A., Determining land surface fractional cover from NDVI and rainfall time series for a savanna ecosystem (2002) Remote Sensing of Environment, 82, pp. 376-388
  • Singh, A., Digital change detection techniques using remotely sensed data (1989) International Journal of Remote Sensing, 10, pp. 989-1003
  • Skole, D.L., Data on global land-cover change: Acquisition, assessment and analysis (1994) Changes in Land Use and Land Cover: A Global Perspective, pp. 437-471. , Cambridge: Cambridge University Press
  • Song, C., Woodcock, C.E., Seto, K.C., Pax-Lenney, M., Macomber, S.A., Classification and change detection using Landsat TM data: When and how to correct atmospheric effects? (2001) Remote Sensing of Environment, 75, pp. 230-244
  • Teillet, P.M., Barker, L.L., Markham, B.L., Irish, R.R., Fedosejevs, G., Storey, J.C., Radiometric cross-calibration of the Landsat-7 ETM+ and Landsat-5 TM sensors based on tandem data sets (2001) Remote Sensing of Environment, 78, pp. 39-54
  • Teillet, P.M., Fedosejevs, G., On the dark target approach to atmospheric correction of remotely sensed data (1995) Canadian Journal of Remote Sensing, 21, pp. 374-387
  • Thome, K., Markham, B., Barker, J., Slater, P., Biggar, S., Radiometric calibration of Landsat (1997) Photogrammetric Engineering and Remote Sensing, 63, pp. 853-858
  • Tokola, T., Löfman, S., Erkkilä, A., Relative calibration of multitemporal Landsat data for forest cover change detection (1999) Remote Sensing of Environment, 68, pp. 1-11
  • Turner, W., Spector, S., Gardiner, N., Fladeland, M., Sterling, E., Steininger, M., Remote sensing for biodiversity science and conservation (2003) Trends in Ecology and Evolution, 18, pp. 306-314
  • Vitousek, P.M., Beyond global warming: Ecology and global change (1994) Ecology, 75, pp. 1861-1876
  • Vogelmann, J.E., Helder, D., Morfitt, R., Choate, M.J., Merchant, J.W., Bulley, H., Effects of Landsat 5 Thematic Mapper and Landsat 7 Enhanced Thematic Mapper Plus radiometric and geometric calibrations and corrections on landscape characterization (2001) Remote Sensing of Environment, 78, pp. 55-70
  • Watson, N., Wilcock, D., Preclassification as an aid to the improvement of the thematic and spatial accuracy in land cover maps derived from satellite imagery (2001) Remote Sensing of Environment, 75, pp. 267-278
  • Woodcock, C.E., Macomber, S.A., Pax-Lenney, M., Cohen, W.B., Monitoring large areas for forest change using Landsat: Generalization across space, time and Landsat sensors (2001) Remote Sensing of Environment, 78, pp. 194-203

Citas:

---------- APA ----------
Paolini, L., Grings, F., Sobrino, J., Jiménez Muñoz, J.C. & Karszenbaum, H. (2006) . Radiometric correction effects in Landsat multi-date/multi-sensor change detection studies. International Journal of Remote Sensing, 27(4), 685-704.
http://dx.doi.org/10.1080/01431160500183057
---------- CHICAGO ----------
Paolini, L., Grings, F., Sobrino, J., Jiménez Muñoz, J.C., Karszenbaum, H. "Radiometric correction effects in Landsat multi-date/multi-sensor change detection studies" . International Journal of Remote Sensing 27, no. 4 (2006) : 685-704.
http://dx.doi.org/10.1080/01431160500183057
---------- MLA ----------
Paolini, L., Grings, F., Sobrino, J., Jiménez Muñoz, J.C., Karszenbaum, H. "Radiometric correction effects in Landsat multi-date/multi-sensor change detection studies" . International Journal of Remote Sensing, vol. 27, no. 4, 2006, pp. 685-704.
http://dx.doi.org/10.1080/01431160500183057
---------- VANCOUVER ----------
Paolini, L., Grings, F., Sobrino, J., Jiménez Muñoz, J.C., Karszenbaum, H. Radiometric correction effects in Landsat multi-date/multi-sensor change detection studies. Int. J. Remote Sens. 2006;27(4):685-704.
http://dx.doi.org/10.1080/01431160500183057