Author focuses on the special characteristics of hyperspectral remote sensing, its reflectance spectrum and the benefits of high spectral resolution in urban climate research. In the first part of the document the most important results of traditional urban climate research are summarised. Then the database and the research technique is presented, which included MNF and Fourier transformations. A special method, the red edge position (REP) was developed and introduced by the author for the calculation of the vegetation index. Values of REP and thermal images were compared in order to define the statistical relations between them.

Cities are extremely complex surfaces because they contain different materials and formations. According to the author most of the research projects carried out in the field of urban climate focus more on urban surface energy budget and pay little attention to the climatic effects of vegetation. Investigations on urban vegetation by hyperspectral technology are rare and less known in the literature, and there are many scientific deficits in this respect to be answered. The research project was started to bridge the scientific gap and draw attention to the applicability of hyperspectral technology in urban climate research.

The comparison of values of REP and thermal images showed that the deterministic coefficient (R2) was 0,65 and the function that could describe the relations of variables was logarithmic. The logarithmic function relations was interpreted as the effect of different transpiration and photosynthetic layers of vegetation areas. It was also concluded that there is a REP value borderline between different types of vegetation. Plants with one active layer have a REP value higher than 720 nm. Around 720 (± 1-2) nm are plants between the two estremes (e.g. bushes) The results were confirmed on field trips and airborne images.

University of Corvinus, Budapest
Hungary
Mr András Jung

01/01/2005

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Mr András Jung

research

Urban Policy > Urban environment

Environmental sustainability