The Twelfth International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Science
5-8 July 2016 Montpellier, France
Keynote speakers
- Isabelle Bloch, Télécom ParisTech, CNRS LTCI, France
- Clémentine Prieur, Grenoble University, France
- Linda J. Young, USDA National Agricultural Statistics Service (NASS), USA
- Peter M. Atkinson,University of Lancaster, UK
Papers
Lilburne L., McNeill S., Cuthill T. and Roudier P., Exploring the uncertainty of soil water holding capacity information, pp 1-8
Lenormand M., Louail T., Barthelemy M. and Ramasco J.J. Is spatial information in ICT data reliable?, pp 9-17
Harris P., Brunsdon C., Comber L., Sint H., Orr R., Lee M. and Murray P. Modelling, interpreting and visualizing uncertainties for the North Wyke Farm Platform baseline field surveys, pp 18-23
Bourrelly S., Marvuglia A. and Vazquez-Rowe I. Machine learning to deal with uncertainty in knowledge base for multivariate clustering applied to spatial analysis, pp 24-30
Jones H., Guillaume S., Loisel P., Charnomordic B. and Tisseyre B. Generation of plateau-approximated fuzzy zones, pp 31-37
Hajalalaina A., Herve D., Delaitre E. and Libourel T. Modeling process chain of SPOT images for resources uncertainty to monitor change in forest cover, pp 38-45
Heuvelink G.B.M., Brus D., Hengl T., Kempen B., Leenaars J.G.B. and Ruiperez-Gonzalez M. Uncertainty quantification of interpolated maps derived from observations with different accuracy levels, pp 49-51
Melville G., Stone C. and Rombouts J. Survey designs which maximize efficiency gains in ALS-based forestry plot imputation, pp 52-59
Sannier C., Gallego J., Dahmer J., Smith G., Dufourmont H. and Pennec A. Validation of Copernicus high resolution layer on imperviousness degree for 2006, 2009 and 2012, pp 60-69
Louvet R., Aryal J., Josselin D., Marchand-Lagier C. and Genre-Grandpierre C. The polygon overlay problem in electoral geography, pp 67-73
Chicaiza E. and Buenaño, X. Modelling uncertainty using geostatistics, a case study in Ecuador, pp 74-79
Gonçalves L.M.S. and Fonte C.C. A hybrid approach for land cover mapping based on the combination of soft classifiers outputs and uncertainty information, pp 80-87
Gallego J., Schucknecht A. and Waldner F. Sampling to validate a global cropland map, pp 88-94
Uhl J.H., Leyk S., Florczyk A.J. and Pesaresi M. Exploring the usefulness of land parcel data for evaluating multi-temporal built-up land layers, pp 95-100
Gadal S. and Ouerghemmi W. Urban objects recognition feasibilities by airborne hyperspectral and multispectral remote sensing, pp 101-108
Aslantas P. and Yeller O. Space-time Kriging of temperature over Van-Turkey, pp 109-114
Comber A. and Carver S. Where (we think) the wild things are: comparing citizen generated and formal measures of wilderness, pp 117-121
Fusco G. and Cao C. Uncertain clustering of social specialization in metropolitan areas, pp 122-129
Ivanović S. S., Olteanu Raimond A.-M., Mustière S. and Devogele T. Detection of outliers in crowdsourced GPS traces, pp 130-135
Griffith D.A., Chun Y. and Lee M. Locational error impacts on local spatial autocorrelation indices: a Syracuse soil sample Pb-level data case study, pp 136-143
Yoo E. and Lee J. Modeling spatial risk of the Foot-Mouth-Disease epidemic in South Korea, pp 144-150
Wong, D. W.S. and Huang Q. Sensitivity of DBSCAN in identifying activity zones using online footprints, pp 151-156
Grinblat Y., Gilichinsky M. and Benenson I. On reliability of remote sensing data and classification methods for estimating transition rules of the land-use Cellular Automota, pp 157-161
Kavzoglu T., Yildiz Erdemir M. and Tonbul H. Evaluating performances of spectral indices for burned area mapping using object-based image analysis, pp 162-168
Poss M. and Josselin D. Exploring accurate spatial downscaling using optimization, pp 202-210
Girres J.-F. Simulation of realistic digitizing errors on geographical objects using constraints modeling the operator input process, pp 259-266
Chéry J.-P., Bailly J.-S., Laurent V. and Saint-Geours N. How far spatial accuracy governs land-use changes monitoring frequency: the urban sprawl monitoring example, pp 267-274
Sawicka K. and Heuvelink G.B.M. ‘spup’ – a R package for uncertainty propagation in spatial environmental modelling, pp 275-282
Tacnet J.-M., Dupouy G., Bourrier F., Berger F., Laigle D., Crimier N., Mekhnacha K. and Mémier M. Combining spatial and thematic uncertainty and sensitivity analysis for mountain natural hazard assessment, pp 283-285
Cohenca D. and Vieira C.A.O. Performing multi-temporal spatial data analysis for coastal areas and assessing thematic accuracy, pp 286-293
Leibovici D.G. and Rosser J.F. Multiway sensitivity analysis of the fusion of earth observation, topography and social media data for rapid flood mapping, pp 297-304
Erlacher C., Şalap-Ayça S., Jankowski P., Anders K.-H. and Paulus G. A GPU-based solution for accelerating spatially-explicit uncertainty- and sensitivity analysis in multi-criteria decision making, pp 305-312
Torres-Malallana J.A., Leopold U. and Heuvelink G.B.M Uncertainty propagation in urban hydrology water quality modelling, pp 313-321
Chahinian N., Piat-Marchand A.-L., Bringay S., Teisseire M., Boulogne E., Deruelle L., Derras M. and Delenne C. How can big data be used to reduce uncertainty in stormwater modelling, pp 322-239
Ferrer Savall J., Benhamou C., Barbillon P., Durand P., Taupin M.-L., Monod H. and Drouet J.-L. Sensitivity analysis of spatio-temporal models describing nitrogen transfers, transformations and losses at the landscape scale, pp 330-332
Emmanouilidis T., Guex G. and Bavaud F. The transformed optimal transportation problem: sensitivity and segregation of the children-to-school constrained assignment in Lausanne, pp 333-340
Alba-Fernández M.V., Ariza-López F.J. and Rodríguez-Avi J. A method for testing the similarity of spatial samples, pp 343-349
Delenne C., Bailly J.S., Dartevelle M., Marcy N. and Rousseau A. Combining punctual and ordinal contour data for accurate floodplain topography mapping, pp 350-357
Komba Mayossa P.C. and Gadal S. Monitoring spatial accuracy of oil palm cultivation mapping in southern Cameroon from Landsat series images, pp 358-365