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Proceedings Paper

Integrating temporal and spectral information from low-resolution MODIS and high-resolution optical satellite images: two Hungarian case studies
Author(s): Daniel Kristof; Robert Pataki; Dora Neidert; Zoltan Nagy; Krisztina Pinter
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Paper Abstract

This study is focused on the use of Moderate Resolution Imaging Spectroradiometer (MODIS) reflectance data along with high and very high resolution satellite images. The use of these data requires special attention and the elaboration of novel preprocessing methods, which is presented through two case studies. In the first one, the aim is to assess subpixel-scale changes associated to agricultural practice in an agricultural landscape. This requires the integration of temporal information from MODIS daily time series and spatial information from high resolution satellite images by means of subpixel unmixing. Our second case study is concentrated on the use of these images in direct radiometric rectification of high-resolution optical imagery. Our results show that the "standard" preprocessing is not sufficient for carrying out accurate subpixel analysis in a MODIS time series or for reliable radiometric rectification. The main reasons include raster-based processing not taking into account the changes in observation dimensions throughout the scene, and pixel mixing caused by the triangular point spread function (PSF). To resolve this, we propose a novel method based on the vector data model, in which each MODIS pixel is replaced by a polygon with its real size and orientation. Our results show this method yields a significant improvement in the radiometric fit of high-resolution and MODIS data.

Paper Details

Date Published: 9 October 2007
PDF: 11 pages
Proc. SPIE 6742, Remote Sensing for Agriculture, Ecosystems, and Hydrology IX, 67420J (9 October 2007); doi: 10.1117/12.739474
Show Author Affiliations
Daniel Kristof, Szent István Univ. (Hungary)
Robert Pataki, Institute of Geodesy, Cartography and Remote Sensing (Hungary)
Dora Neidert, Szent István Univ. (Hungary)
Zoltan Nagy, Szent István Univ. (Hungary)
Krisztina Pinter, Szent István Univ. (Hungary)


Published in SPIE Proceedings Vol. 6742:
Remote Sensing for Agriculture, Ecosystems, and Hydrology IX
Christopher M. U. Neale; Manfred Owe; Guido D'Urso, Editor(s)

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