IAFE   05512
INSTITUTO DE ASTRONOMIA Y FISICA DEL ESPACIO
Unidad Ejecutora - UE
artículos
Título:
Radiometric correction effects in Landsat multi-date/multi-sensor
Autor/es:
LEONARDO PAOLINI; FRANCISCO MATIAS GRINGS; JOSE SOBRINO; JUAN C. GIMENEZ MUÑOZ; HAYDEE KARSZENBAUM
Revista:
INTERNATIONAL JOURNAL OF REMOTE SENSING
Editorial:
Taylor & Francis
Referencias:
Lugar: Oxfordshire; Año: 2006 vol. 27 p. 685 - 704
ISSN:
0143-1161
Resumen:
Radiometric corrections serve to remove the effects that alter the spectralcharacteristics of land features, except for actual changes in ground target,becoming mandatory in multi-sensor, multi-date studies. In this paper, weevaluate the effects of two types of radiometric correction methods (absolute andrelative) for the determination of land cover changes, using Landsat TM andLandsat ETM+ images. In addition, we present an improvement made to therelative correction method addressed. Absolute correction includes a crosscalibrationbetween TM and ETM+ images, and the application of anatmospheric correction protocol. Relative correction normalizes the imagesusing pseudo-invariant features (PIFs) selected through band-to-band PCAanalysis. We present a new algorithm for PIFs selection in order to improvenormalization results. A post-correction evaluation index (Quadratic DifferenceIndex (QD)), and post-classification and change detection results were used toevaluate the performance of the methods. Only the absolute correction methodand the new relative correction method presented in this paper show good postcorrectionand post-classification results (QD index < 0; overall accuracy .80%;kappa .0.65) for all the images used. Land cover change estimations based onuncorrected images present unrealistic change rates (two to three times thoseobtained with corrected images), which highlights the fact that radiometriccorrections are necessary in multi-date multi-sensor land cover change analysis.