Tim Van de Voorde

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The goal of this paper is to evaluate the DisTrad sharpening technique for deriving land surface temperatures over urban areas. While the original DisTrad technique is based on the correlation between land surface temperature and NDVI, this study evaluates the performance of DisTrad over different land covers by analysing the correlation between land(More)
In this paper, the potential of Compact HighResolution Imaging Spectrometer (CHRIS)/Project for On-Board Autonomy data for impervious surface mapping is tested in a mixed urban/suburban/rural environment including part of the city of Leuven (Belgium) using multiple endmember unmixing. Various unmixing scenarios are compared, using different threshold values(More)
Very High Resolution (VHR) satellite images offer a great potential for the extraction of landuse and land-cover related information for urban areas. The available techniques are diverse and need to be further examined before operational use is possible. In this paper we applied two pixel-by-pixel classification techniques and the object-oriented image(More)
CHRIS/Proba represents a new generation of hyperspectral-oriented data that provides different viewing angles of the same scene. This multi-angle acquisition, with 18 bands between 0.4-1 μm at five different angles, can substantially improve characterization of various land-cover types. However, with around 18m pixel size, the spatial resolution is still(More)
Previous work on spectral unmixing of medium-resolution multispectral data for mapping of sealed surfaces has pointed out the limitations of the approach, which are mostly related to the confusion between sealed surface materials and spectrally similar non-artificial land-cover types. Use of hyperspectral data may improve the accuracy of sealed surface(More)