Patrick Bogaert

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Forest monitoring requires more automated systems to analyse the large amount of remote sensing data. A new method of change detection is proposed for identifying forest land cover change using high spatial resolution satellite images. Combining the advantages of image segmentation, image differencing and stochastic analysis of the multispectral signal,(More)
Currently, most optical Earth observation satellites carry both a panchromatic sensor and a set of lower spatial resolution multispectral sensors. In order to benefit from both sources of information, several pansharpening methods have been developed to produce a multispectral image at the spatial resolution of the panchromatic band. The aim of this paper(More)
In this letter, a general Bayesian data fusion (BDF) approach is proposed and applied to the spatial enhancement of ASTER thermal images. This method fuses information coming from the visible or near-infrared bands (15 × 15 m pixels) with the thermal infrared bands (90 × 90 m pixels) by explicitly accounting for the change of support. By relying on linear(More)
The objective of this paper is to show that the structure of the spatiotemporal continuum has important implications in practical stochastic hydrology (e.g., geostatistical analysis of hydrologic sites) and is not merely an abstract mathematical concept. We propose that the concept of physical geometry as a spatiotemporal continuum with properties that are(More)
This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents(More)
A new method has been developed in order to automatically detect land cover changes in forested areas on a multitemporal dataset. From a multitemporal segmentation on the calibrated reflectance of all images, unchanged but especially the changed stands are accurately delineated. Stands are characterized by features extracted from the reflectance difference(More)
Full-waveform inversions were applied to retrieve surface, two-layered and continuous soil moisture profiles from ground penetrating radar (GPR) data acquired in an 11-ha agricultural field situated in the loess belt area in central Belgium. The radar system consisted of a vector network analyzer combined with an off-ground horn antenna operating in the(More)
There are currently contradicting results in the literature about the way chloroethene (CE) concentrations from tree core sampling correlate with those from groundwater measurements. This paper addresses this issue by focusing on groundwater and tree core datasets in CE contaminated site, Czech Republic. Preliminary analyses revealed strongly and positively(More)
The incorporation of various sources of physical knowledge is an important aspect of spatiotemporal analysis and mapping. There exist two major knowledge bases: general knowledge and specificatory knowledge. The latter includes hard data (exact measurements) and soft data knowledge bases (such as measurement intervals, probability assessments, expert views,(More)