By P. Naveau, M. Vrac, M. G. Genton, A. Chédin, E. Diday (auth.), Xavier Sanchez-Vila, Jesus Carrera, José Jaime Gómez-Hernández (eds.)
The fourth variation of the eu convention on Geostatistics for Environmental functions (geoENV IV) happened in Barcelona, November 27-29, 2002. As an evidence that there's an expanding curiosity in environmental matters within the geostatistical neighborhood, the convention attracted over a hundred members, typically Europeans (up to ten ecu international locations have been represented), but additionally from different international locations on the planet. merely forty six contributions, chosen out of round a hundred submitted papers, have been invited to be awarded orally throughout the convention. also 30 authors have been invited to provide their paintings in poster structure in the course of a distinct consultation. All oral and poster participants have been invited to publish their paintings to be thought of for ebook during this Kluwer sequence. All papers underwent a reviewing technique, which consisted on reviewers for oral shows and one reviewer for posters. The ebook opens with one keynote paper by means of Philippe Naveau. it really is by way of forty papers that correspond to these awarded orally throughout the convention and authorized by way of the reviewers. those papers are categorised based on their major subject. The record of issues convey the variety of the contributions and the fields of program. on the finish of the booklet, summaries of as much as 19 poster shows are additional. The geoENV meetings pressure matters, specifically geostatistics and environmental purposes. therefore, papers should be categorised into groups.
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Extra resources for geoENV IV — Geostatistics for Environmental Applications: Proceedings of the Fourth European Conference on Geostatistics for Environmental Applications held in Barcelona, Spain, November 27–29, 2002
Example text
DSCoS coverage proportion estimates (left) and estimation variance (right) for the four forest species and other cover classes. Forest classification using direct sequencial co-simulation 51 Figure 5. Forest cover classification obtained from the upscaled classified satellite image (left) and from the DSCoS (right).
Direct Sequential Co-Simulation is performed conditioned to the local correlation estimates, yielding estimates and uncertainties for forest cover proportions. Cover-probabilities are combined into one forest cover classification map, constrained to reproducing the global proportions for the different classes. e. more spatial contiguity – than the classified satellite image. In comparison to the field data used for calibration during satellite image classification, the proposed simulation method improved forest cover estimations for species with good local correlation between hard and soft data and worsened those for species with poor local correlations.
Figure 1b-d and 2b-d). In particular, the local two-point histogram may be computed at the pixel-scale. The problem is that this information is provided at the pixel scale, whereas information is required at the sub-pixel scale. , 1988). This will be the subject of future research. 3 Error and the point-spread function Two issues which have been deliberately overlooked are error and the point-spread function (PSF). In the simulated soft classifications (Figures Super-resolution classification using the two point histogram 27 1b-d and 2b-d) zero error was assumed.
