Paper
9 October 2007 Integrating temporal and spectral information from low-resolution MODIS and high-resolution optical satellite images: two Hungarian case studies
Daniel Kristof, Robert Pataki, Dora Neidert, Zoltan Nagy, Krisztina Pinter
Author Affiliations +
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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel Kristof, Robert Pataki, Dora Neidert, Zoltan Nagy, and Krisztina Pinter "Integrating temporal and spectral information from low-resolution MODIS and high-resolution optical satellite images: two Hungarian case studies", Proc. SPIE 6742, Remote Sensing for Agriculture, Ecosystems, and Hydrology IX, 67420J (9 October 2007); https://doi.org/10.1117/12.739474
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Cited by 2 scholarly publications.
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KEYWORDS
MODIS

Reflectivity

Earth observing sensors

Satellites

Satellite imaging

Agriculture

Image resolution

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