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Estimation of lidar-based gridded DEM uncertainty with varying terrain roughness and point density / Luyen K. Bui in ISPRS Open Journal of Photogrammetry and Remote Sensing, vol 7 (January 2023)
[article]
Titre : Estimation of lidar-based gridded DEM uncertainty with varying terrain roughness and point density Type de document : Article/Communication Auteurs : Luyen K. Bui, Auteur ; Craig L. Glennie, Auteur Année de publication : 2023 Article en page(s) : n° 100028 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques
[Termes IGN] Alaska (Etats-Unis)
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] Hawaii (Etats-Unis)
[Termes IGN] incertitude des données
[Termes IGN] interpolation
[Termes IGN] modèle numérique de surface
[Termes IGN] semis de points
[Termes IGN] Triangulated Irregular NetworkRésumé : (auteur) Light detection and ranging (lidar) scanning systems can be used to provide a point cloud with high quality and point density. Gridded digital elevation models (DEMs) interpolated from laser scanning point clouds are widely used due to their convenience, however, DEM uncertainty is rarely provided. This paper proposes an end-to-end workflow to quantify the uncertainty (i.e., standard deviation) of a gridded lidar-derived DEM. A benefit of the proposed approach is that it does not require independent validation data measured by alternative means. The input point cloud requires per point uncertainty which is derived from lidar system observational uncertainty. The propagated uncertainty caused by interpolation is then derived by the general law of propagation of variances (GLOPOV) with simultaneous consideration of both horizontal and vertical point cloud uncertainties. Finally, the interpolated uncertainty is then scaled by point density and a measure of terrain roughness to arrive at the final gridded DEM uncertainty. The proposed approach is tested with two lidar datasets measured in Waikoloa, Hawaii, and Sitka, Alaska. Triangulated irregular network (TIN) interpolation is chosen as the representative gridding approach. The results indicate estimated terrain roughness/point density scale factors ranging between 1 (in flat areas) and 7.6 (in high roughness areas), with a mean value of 2.3 for the Waikoloa dataset and between 1 and 9.2 with a mean value of 1.2 for the Sitka dataset. As a result, the final gridded DEM uncertainties are estimated between 0.059 m and 0.677 m with a mean value of 0.164 m for the Waikoloa dataset and between 0.059 m and 1.723 m with a mean value of 0.097 m for the Sitka dataset. Numéro de notice : A2023-120 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1016/j.ophoto.2022.100028 Date de publication en ligne : 17/12/2023 En ligne : https://doi.org/10.1016/j.ophoto.2022.100028 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102494
in ISPRS Open Journal of Photogrammetry and Remote Sensing > vol 7 (January 2023) . - n° 100028[article]Comparison of methods for the automatic classification of forest habitat types in the Southern Alps : Application to ecological data from the French national forest inventory / Charlotte Labit in Biodiversity & Conservation, vol 31 n° 13-14 (December 2022)
[article]
Titre : Comparison of methods for the automatic classification of forest habitat types in the Southern Alps : Application to ecological data from the French national forest inventory Type de document : Article/Communication Auteurs : Charlotte Labit, Auteur ; Ingrid Bonhême , Auteur ; Sébastien Delhaye , Auteur Année de publication : 2022 Projets : 1-Pas de projet / Article en page(s) : pp 3257 - 3283 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Alpes-de-haute-provence (04)
[Termes IGN] Alpes-maritimes (06)
[Termes IGN] analyse comparative
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] Drôme (26)
[Termes IGN] habitat (nature)
[Termes IGN] habitat forestier
[Termes IGN] incertitude des données
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] surveillance écologique
[Vedettes matières IGN] Inventaire forestierMots-clés libres : algorithm inspired by the habitat identification key used in the field Résumé : (auteur) The monitoring of habitats at plant association level, has been developed by the French-National Forest Inventory (NFI) progressively since 2011, whereas ecological and floristic data exist since the mid-1980s. The NFI habitat monitoring is the French tool of surveillance of forest habitats decreed by Natura 2000 Directive (article 11). Determination of plant association in NFI plots concerns all the habitats, whether they are of community interest or not. The objective of this study is to compare different methods of automatic classification of floristic and ecological surveys into forest habitat groups. Indeed, enriching the old surveys, which contain only ecological, floristic and trees data, with information on habitats would increase the accuracy of the calculated statistical results on habitats. The uncertainty of the attribution of a habitat outside the field (ex-situ) by experts was quantified by comparison with the determination in the field (in situ). This result was used as a benchmark to compare to the error rates obtained by two methods of automatic classification: an algorithm inspired by the habitat identification key used in the field and Random forest, a learning classification method. The classification performance was evaluated for three levels of habitat groupings. The results showed that the lower the level of clustering, the higher the error rate. Depending on the classification method used and the level of aggregation, the error rates varied between 5 and 15%. In all cases, the error rates were below the estimated uncertainty of the expert attribution of ex-situ habitat. Numéro de notice : A2022-696 Affiliation des auteurs : IGN+Ext (2020- ) Thématique : FORET/MATHEMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s10531-022-02487-6 Date de publication en ligne : 25/10/2022 En ligne : https://doi.org/10.1007/s10531-022-02487-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101980
in Biodiversity & Conservation > vol 31 n° 13-14 (December 2022) . - pp 3257 - 3283[article]There’s no best model! Addressing limitations of land-use scenario modelling through multi-model ensembles / Richard J. Hewitt in International journal of geographical information science IJGIS, vol 36 n° 12 (December 2022)
[article]
Titre : There’s no best model! Addressing limitations of land-use scenario modelling through multi-model ensembles Type de document : Article/Communication Auteurs : Richard J. Hewitt, Auteur ; Majid Shadman Roodposhti, Auteur ; Brett A. Bryan, Auteur Année de publication : 2022 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] automate cellulaire
[Termes IGN] étalonnage de modèle
[Termes IGN] étalonnage des données
[Termes IGN] incertitude des données
[Termes IGN] utilisation du solRésumé : (auteur) Cellular automata models are popular tools for exploring future land change pathways. But simulation modelling approaches often focus too narrowly on calibration against historic reference maps, limiting the diversity of possible outcomes. We argue that, contrary to what is commonly believed, there is no ‘best model’, and that model specification and calibration accuracy depend on the objective of the research. We propose a multi-model ensemble approach, in which a wide range of models and calibration rules sets are systematically tested against multiple metrics. We apply our approach to a case study in Spain. No single model performed well for all statistics, illustrating the danger of cherry-picking statistics for best performance. In our case study, accounting for historic land changes in model design was useful for simulating compact urban development, but limited the variability of simulation outcomes. The accessibility model driver improved urban pattern replication, while suitability without accessibility was useful for simulating low-density development encroaching on natural areas. Rather than abandoning calibrations that show low agreement with reference maps based on a small number of metrics we should seek to understand what each metric is telling us and use this information to enrich the diversity of simulated outcomes. Numéro de notice : A2022-616 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2022.2098299 Date de publication en ligne : 03/08/2022 En ligne : https://doi.org/10.1080/13658816.2022.2098299 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101372
in International journal of geographical information science IJGIS > vol 36 n° 12 (December 2022)[article]An estimation method to reduce complete and partial nonresponse bias in forest inventory / James A. Westfall in European Journal of Forest Research, vol 141 n° 5 (October 2022)
[article]
Titre : An estimation method to reduce complete and partial nonresponse bias in forest inventory Type de document : Article/Communication Auteurs : James A. Westfall, Auteur Année de publication : 2022 Article en page(s) : pp 901 - 907 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] enquête
[Termes IGN] erreur systématique
[Termes IGN] estimateur
[Termes IGN] estimation statistique
[Termes IGN] Etats-Unis
[Termes IGN] incertitude des données
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] méthode de Monte-Carlo
[Termes IGN] modèle de simulation
[Termes IGN] placette d'échantillonnage
[Termes IGN] post-stratification de données
[Termes IGN] propriété foncière
[Vedettes matières IGN] Inventaire forestierRésumé : (auteur) Survey practitioners commonly encounter various types of nonresponse and strive to implement methods that mitigate any resulting bias when reporting results. In national forest inventories (NFI), complete or partial nonresponse usually results from hazardous conditions or lack of plot access permission. While many factors may be related to nonresponse, the two primary factors in the NFI of the USA are public/private land ownership and office/field plot status. To ameliorate potential nonresponse bias, these factors should be accounted for in the estimation process. An estimation method is presented where response homogeneity groups (RHGs) account for differential nonresponse rates between forest/nonforest plots. In a post-stratified estimation context, ratio-to-size estimators are used in RHGs within post-strata to avoid potential bias in variance estimates arising from partial plot nonresponse. Combining RHGs within post-strata requires a complex variance estimator that includes four sources of uncertainty. Testing of the estimation method on a synthetic population showed the approach is essentially unbiased. Application to NFI data from 10 states in the USA consistently showed the RHG method produced state-level estimates of forestland area that were 0.1%–3.6% larger than the current post-stratified estimation procedure. It is suggested that these differences are indicative of the nonresponse bias present when plots having differential nonresponse rates are not accounted for. Numéro de notice : A2022-759 Affiliation des auteurs : non IGN Thématique : FORET/MATHEMATIQUE Nature : Article DOI : 10.1007/s10342-022-01480-6 Date de publication en ligne : 14/07/2022 En ligne : https://doi.org/10.1007/s10342-022-01480-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101770
in European Journal of Forest Research > vol 141 n° 5 (October 2022) . - pp 901 - 907[article]A general model for creating robust choropleth maps / Wangshu Mu in Computers, Environment and Urban Systems, vol 96 (September 2022)
[article]
Titre : A general model for creating robust choropleth maps Type de document : Article/Communication Auteurs : Wangshu Mu, Auteur ; Daoqin Tong, Auteur Année de publication : 2022 Article en page(s) : n° 101850 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie
[Termes IGN] carte choroplèthe
[Termes IGN] incertitude des données
[Termes IGN] méthode du maximum de vraisemblance (estimation)
[Termes IGN] méthode robuste
[Termes IGN] optimisation par essaim de particules
[Termes IGN] programmation dynamiqueRésumé : (auteur) Choropleth maps visualize areal geographical data by grouping data into a few map classes and assigning different colors, shades, or patterns. Recent studies show that data uncertainty, commonly observed in real-life applications, should also be accounted for when determining the best classification scheme. Due to data uncertainty, a few studies note that map units might be placed in a wrong class, and the concept of map robustness has been introduced to minimize such misplacement. Recently, an algorithm has been developed to integrate robustness into the design of the optimal map classification scheme. However, the existing algorithm has two limitations: first, it is only suitable for certain robustness metrics. Second, when identifying the optimal class breaks, the existing algorithm requires predefined candidate class break values, which might lead to sub-optimal solutions. This paper resolves these issues by proposing a new model, namely, the Continuous Robust Map Classification Problem (CRMCP), and the associated solution approach. The CRMCP allows mapmakers to customize robustness metrics according to their data and applications. In addition, a particle swarm optimization algorithm is developed to solve the CRMCP. The model and algorithm are tested using American Community Survey data. Test results suggest that the new approach can find better solutions than the existing algorithm. The study improves the usability of choropleth maps when uncertain geographical attributes are involved and allows spatial analysts and decision-makers to incorporate robustness into the mapmaking process more flexibly. Numéro de notice : A2022-514 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.compenvurbsys.2022.101850 Date de publication en ligne : 28/06/2022 En ligne : https://doi.org/10.1016/j.compenvurbsys.2022.101850 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101055
in Computers, Environment and Urban Systems > vol 96 (September 2022) . - n° 101850[article]Using multi-temporal tree inventory data in eucalypt forestry to benchmark global high-resolution canopy height models. A showcase in Mato Grosso, Brazil / Adrián Pascual in Ecological Informatics, vol 70 (September 2022)PermalinkModeling and propagating inventory-based sampling uncertainty in the large-scale forest demographic model “MARGOT” / Timothée Audinot in Natural Resource Modelling, vol 35 n° 3 (August 2022)PermalinkUncertainty interval estimates for computing slope and aspect from a gridded digital elevation model / Carlos López-Vázquez in International journal of geographical information science IJGIS, vol 36 n° 8 (August 2022)PermalinkOutliers and uncertainties in GNSS ZTD estimates from double-difference processing and precise point positioning / Katarzyna Stępniak in GPS solutions, vol 26 n° 3 (July 2022)PermalinkQuantifying the influence of plot-level uncertainty in above ground biomass up scaling using remote sensing data in central Indian dry deciduous forest / Thangavelu Mayamanikandan in Geocarto international, vol 37 n° 12 ([01/07/2022])PermalinkObservational constraint on the climate sensitivity to atmospheric CO2 concentrations changes derived from the 1971-2017 global energy budget / Jonathan Chenal in Journal of climate, vol 2022 ([01/03/2022])PermalinkOrthometric, normal and geoid heights in the context of the Brazilian altimetric network / Danilos Fernandes de Medeiros in Boletim de Ciências Geodésicas, vol 28 n° 1 ([01/03/2022])PermalinkEvaluation de méthodes automatisées de cartographie des zones inondables adaptées à la prévision des crues soudaines / Nabil Hocini (2022)PermalinkImpact of travel time uncertainties on modeling of spatial accessibility: a comparison of street data sources / Yan Lin in Cartography and Geographic Information Science, vol 48 n° 6 (October 2021)PermalinkImaging the subsurface: How different visualizations of cross-sections affect the sense of uncertainty / Ane Bang-Kittilsen in Journal of Geovisualization and Spatial Analysis, vol 5 n° 1 (June 2021)PermalinkUncertainty management for robust probabilistic change detection from multi-temporal Geoeye-1 imagery / Mahmoud Salah in Applied geomatics, vol 13 n° 2 (June 2021)PermalinkQuality assessment of heterogeneous training data sets for classification of urban area with Landsat imagery / Neema Nicodemus Lyimo in Photogrammetric Engineering & Remote Sensing, PERS, vol 87 n° 5 (May 2021)PermalinkStand-scale climate change impacts on forests over large areas: transient responses and projection uncertainties / NIca Huber in Ecological Applications, vol 31 ([01/02/2021])PermalinkAssessing the accuracy of remotely sensed fire datasets across the southwestern Mediterranean Basin / Luis Felipe Galizia in Natural Hazards and Earth System Sciences, vol 21 n° 1 (January 2021)PermalinkEvaluation of a neural network with uncertainty for detection of ice and water in SAR imagery / Nazanin Asadi in IEEE Transactions on geoscience and remote sensing, vol 59 n° 1 (January 2021)PermalinkActive and incremental learning for semantic ALS point cloud segmentation / Yaping Lin in ISPRS Journal of photogrammetry and remote sensing, vol 169 (November 2020)PermalinkMapping uncertain geographical attributes: incorporating robustness into choropleth classification design / Wangshu Mu in International journal of geographical information science IJGIS, vol 34 n° 11 (November 2020)PermalinkCombined InSAR and terrestrial structural monitoring of bridges / Sivasakthy Selvakumaran in IEEE Transactions on geoscience and remote sensing, vol 58 n° 10 (October 2020)PermalinkUncertainty of forested wetland maps derived from aerial photography / Stephen P. Prisley in Photogrammetric Engineering & Remote Sensing, PERS, vol 86 n° 10 (October 2020)PermalinkImproved optical image matching time series inversion approach for monitoring dune migration in North Sinai Sand Sea: Algorithm procedure, application, and validation / Eslam Ali in ISPRS Journal of photogrammetry and remote sensing, vol 164 (June 2020)PermalinkOptimal lowest astronomical tide estimation using maximum likelihood estimator with multiple ocean models hybridization / Mohammed El-Diasty in ISPRS International journal of geo-information, vol 9 n° 5 (May 2020)PermalinkWavelet-adaptive neural subtractive clustering fuzzy inference system to enhance low-cost and high-speed INS/GPS navigation system / Elahe S. Abdolkarimi in GPS solutions, vol 24 n° 2 (April 2020)PermalinkVolcano-seismic transfer learning and uncertainty quantification with bayesian neural networks / Angel Bueno in IEEE Transactions on geoscience and remote sensing, vol 58 n° 2 (February 2020)PermalinkUncertainty analysis of remotely-acquired thermal infrared data to extract the thermal Properties of active lava surfaces / James A. Thompson in Remote sensing, vol 12 n° 1 (January 2020)PermalinkSpatially-explicit sensitivity and uncertainty analysis in a MCDA-based flood vulnerability model / Mariana Madruga de bruto in International journal of geographical information science IJGIS, vol 33 n° 9 (September 2019)PermalinkEconomic losses caused by tree species proportions and site type errors in forest management planning / Arto Haara in Silva fennica, vol 53 n° 2 (2019)PermalinkAssessment of along-normal uncertainties for application to terrestrial laser scanning surveys of engineering structures / Tarvo Mill in Survey review, vol 51 n° 364 (January 2019)PermalinkEstimation de profondeur à partir d'images monoculaires par apprentissage profond / Michel Moukari (2019)PermalinkL'imperfection des données géographiques, 1. Bases théoriques / Mireille Batton-Hubert (2019)PermalinkEstimation and uncertainty of the mixing effects on Scots pine—European beech productivity from national forest inventories data / Sonia Condés in Forests, vol 9 n° 9 (September 2018)PermalinkUncertainty modeling and analysis of surface area calculation based on a regular grid digital elevation model (DEM) / Chang Li in International journal of geographical information science IJGIS, vol 32 n° 9-10 (September - October 2018)PermalinkHistorical collaborative geocoding / Rémi Cura in ISPRS International journal of geo-information, vol 7 n° 7 (July 2018)PermalinkInference and analysis across spatial supports in the big data era : Uncertain point observations and geographic contexts / Colin Robertson in Transactions in GIS, vol 22 n° 2 (April 2018)PermalinkProgrès de la cartographie forestière mais persistance d'incertitudes : Cas de Madagascar / Georges Serpantié in Cartes & Géomatique, n° 235-236 (mars - juin 2018)PermalinkImproving the upscaling of land cover maps by fusing uncertainty and spatial structure information / Peijun Sun in Photogrammetric Engineering & Remote Sensing, PERS, vol 84 n° 2 (February 2018)PermalinkBruit de scintillation dans les séries temporelles de positions GNSS : origines et conséquences / Paul Rebischung (2018)PermalinkPermalinkUnveiling movement uncertainty for robust trajectory similarity analysis / Andre Salvaro Furtado in International journal of geographical information science IJGIS, vol 32 n° 1-2 (January - February 2018)PermalinkModel-dependent forest stand-level inference with and without estimates of stand-effects / Magnussen, Steen in Forestry, an international journal of forest research, vol 90 n° 5 (December 2017)PermalinkContinuum of floristic composition between two plant communities – Carici elongatae-Alnetum and Fraxino-Alnetum / Natalia Czapiewska in Forest research papers, vol 78 n° 4 (November 2017)PermalinkUncertain Voronoi cell computation based on space decomposition / Klaus Arthur Schmid in Geoinformatica, vol 21 n° 4 (October - December 2017)PermalinkAnalyse du bilan d’erreur appliquée aux systèmes de levés hydrographiques de surface et sous-marin / Geraud Naankeu-Wati in XYZ, n° 152 (septembre - novembre 2017)PermalinkDomains of uncertainty visualization research: a visual summary approach / Jennifer Smith Mason in Cartography and Geographic Information Science, Vol 44 n° 4 (July 2017)PermalinkDonnées institutionnelles et données contributives sur la biodiversité, quelle légitimité ? / Xavier Amelot in Mappemonde, n° 120 (Avril 2017)PermalinkDetermining the appropriate timing of the next forest inventory: incorporating forest owner risk preferences and the uncertainty of forest data quality / Kyle J. Eyvindson in Annals of Forest Science, vol 74 n° 1 (March 2017)PermalinkMapping spatial distribution of forest age in China / Yuan Zhang in Earth and space science, vol 4 n° 3 (March 2017)PermalinkPermalinkEvaluating the effect of visually represented geodata uncertainty on decision-making: systematic review, lessons learned, and recommendations / Christoph Kinkeldey in Cartography and Geographic Information Science, Vol 44 n° 1 (January 2017)PermalinkBounding the integer bootstrapped GNSS baseline’s tail probability in the presence of stochastic uncertainty / Steven E. Langel in Journal of geodesy, vol 90 n° 11 (November 2016)PermalinkIncorporating movement in species distribution models: how do simulations of dispersal affect the accuracy and uncertainty of projections? / Paul Holloway in International journal of geographical information science IJGIS, vol 30 n° 9-10 (September - October 2016)PermalinkPropagating uncertainty through individual tree volume model predictions to large-area volume estimates / Ronald E. McRoberts in Annals of Forest Science, vol 73 n° 3 (September 2016)PermalinkEvaluating the impact of visualization of wildfire hazard upon decision-making under uncertainty / Lisa Cheong in International journal of geographical information science IJGIS, vol 30 n° 7- 8 (July - August 2016)PermalinkGeographically weighted evidence combination approaches for combining discordant and inconsistent volunteered geographical information / Alexis Comber in Geoinformatica, vol 20 n° 3 (July - September 2016)PermalinkApproximating prediction uncertainty for random forest regression models / John W. Coulston in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 3 (March 2016)PermalinkA correctly weighted least squares adjustment - Part 2 Estimating uncertainties / Charles D. Ghilani in xyHt, vol 2016 n° 2 (February 2016)PermalinkLa géostatistique : une vision novatrice au service des géosciences / Bernard Bourgine in Géosciences, n°20 (février 2016)PermalinkObserved changes in the Earth’s dynamic oblateness from GRACE data and geophysical models / Y. Sun in Journal of geodesy, vol 90 n° 1 (January 2016)PermalinkQualité des données géographiques : à propos de la propagation des incertitudes / Gilles Troispoux in Signature, n° 59 (janvier 2016)PermalinkUncertainty modelling and quality control for spatial data / Wenzhong Shi (2016)PermalinkVisualisation and evaluation of flood uncertainties based on ensemble modelling / N. J. Lim in International journal of geographical information science IJGIS, vol 30 n° 1-2 (January - February 2016)PermalinkIntégration de l’imperfection de l’information dans les dynamiques spatiales. Définitions, outils et exemples / Eric Desjardin in Revue internationale de géomatique, vol 25 n° 3 (septembre - novembre 2015)PermalinkRecommendations for the use of tree models to estimate national forest biomass and assess their uncertainty / Matieu Henry in Annals of Forest Science, vol 72 n° 6 (September 2015)PermalinkMapping uncertainty from multi-criteria analysis of land development suitability, the case of Howth, Dublin / Bernadette Quinn in Journal of maps, vol 11 n° 3 ([01/07/2015])PermalinkNetwork-based estimation of time-dependent noise in GPS position time series / Ksenia Dimitrieva in Journal of geodesy, vol 89 n° 6 (June 2015)PermalinkBayesian belief networks as a versatile method for assessing uncertainty in land-change modeling / Carsten Krüger in International journal of geographical information science IJGIS, vol 29 n° 1 (January 2015)PermalinkGeo-spatial modelling with unbalanced data: modelling the spatial pattern of human activity during the Stone Age / Jaroslav Jasiewicz in Open geosciences, vol 7 n° 1 (January 2015)PermalinkVariance component estimation uncertainty for unbalanced data: application to a continent-wide vertical datum / M. S. Filmer in Journal of geodesy, vol 88 n° 11 (November 2014)PermalinkMulti-view 3D circular target reconstruction with uncertainty analysis / Bahman Soheilian in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol II-3 (September 2014)PermalinkActive learning in the spatial domain for remote sensing image classification / André Stumpf in IEEE Transactions on geoscience and remote sensing, vol 52 n° 5 tome 1 (May 2014)PermalinkModeling vague spatial data warehouses using the VSCube conceptual model / Thiago Luís Lopes-Siqueira in Geoinformatica, vol 18 n° 2 (April 2014)PermalinkA probabilistic data model and algebra for location-based data warehouses and their implementation / Igor Timko in Geoinformatica, vol 18 n° 2 (April 2014)PermalinkUsing spatial data support for reducing uncertainty in geospatial applications / T. Hong in Geoinformatica, vol 18 n° 1 (January 2014)PermalinkGaussian processes uncertainty estimates in experimental Sentinel-2 LAI and leaf chlorophyll content retrieval / Jochem Verrlest in ISPRS Journal of photogrammetry and remote sensing, vol 86 (December 2013)PermalinkUsing pattern-oriented modeling (POM) to cope with uncertainty in multi-scale agent-based models of land change / Nicholas R. Magliocca in Transactions in GIS, vol 17 n° 6 (December 2013)PermalinkA random set approach for modeling integrated uncertainties of traffic islands derived from airborne laser scanning points / Liang Zhou in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 9 (September 2013)PermalinkIn-situ transfer standard and coincident-view intercomparisons for sensor cross-calibration / Kurt Thome in IEEE Transactions on geoscience and remote sensing, vol 51 n° 3 Tome 1 (March 2013)PermalinkPermalinkPenser le plan archéologique comme un système d'information : L'exemple du site médiéval de Qalhät (Oman) / Olivier Barge in Revue internationale de géomatique, vol 22 n° 3 (septembre - novembre 2012)PermalinkL’anticipation du changement en prospective et des changements spatiaux en géoprospective / Christine Voiron-Canicio in Espace géographique, vol 41 n° 2 (avril - juin 2012)PermalinkLa question de l'efficacité visuelle / Françoise de Blomac in SIG la lettre, n° 129 (septembre 2011)PermalinkApplying time-dependent variance-based global sensitivity analysis to represent the dynamics of an agent-based model of land use change / A. Ligmann-Zielinska in International journal of geographical information science IJGIS, vol 24 n°11-12 (december 2010)PermalinkUncertainty analysis for the classification of multispectral satellite images using SVMs and SOMs / F. Giacco in IEEE Transactions on geoscience and remote sensing, vol 48 n° 10 (October 2010)PermalinkDirected movements in probabilistic time geography / Stephan Winter in International journal of geographical information science IJGIS, vol 24 n° 9 (september 2010)PermalinkPropagating error in land-cover-change analyses: impact of temporal dependence under increased thematic complexity / A. Burnicki in International journal of geographical information science IJGIS, vol 24 n°7-8 (july 2010)PermalinkAccuracy 2010 : Proceedings of the Ninth international symposium on spatial accuracy assessment in natural resources and environmental sciences, Leicester, UK, 20 - 23 juillet 2010 / Nicholas J. Tate (2010)PermalinkSensivity analysis of a decision tree classification to input data errors using a general Monte Carlo error sensitivity model / Zhi Huang in International journal of geographical information science IJGIS, vol 23 n°11-12 (november 2009)PermalinkApplications of signal detection theory to Geographic Information Science / A. Griffin in Cartographica, vol 44 n° 3 (September 2009)PermalinkDetection, measurement and prediction of shoreline recession in Accra, Ghana / K. Appeaning Addo in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 5 (September - October 2008)PermalinkExploring spatial data uncertainties in land-use change scenarios / N. Dendoncker in International journal of geographical information science IJGIS, vol 22 n° 8-9 (august 2008)PermalinkFast error analysis of continuous GPS observations / M. Bos in Journal of geodesy, vol 82 n° 3 (March 2008)PermalinkSpatial sampling uncertainty in SMEX04 soil moisture fields: a data-based resampling experiment / M. Gebremichael in Remote sensing of environment, vol 112 n° 2 (15/02/2008)PermalinkFusion de connaissances imparfaites pour l'appariement de données géographiques / Ana-Maria Olteanu-Raimond (2008)PermalinkVisibility prediction based on artificial neural networks used in automatic network design / M. Saadatseresht in Photogrammetric record, vol 22 n° 120 (December 2007 - February 2008)PermalinkMultispectral image classification: a supervised neural computation approach based on rough-fuzzy membership function and weak fuzzy similarity relation / A. Agrawal in International Journal of Remote Sensing IJRS, vol 28 n°19-20 (October 2007)PermalinkTesting the effects of thematic uncertainty on spatial decision-making / S. Hope in Cartography and Geographic Information Science, vol 34 n° 3 (July 2007)PermalinkInteractive visualization of uncertain spatial and spatio-temporal data under different scenarios: an air quality example / Edzer J. Pebesma in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)PermalinkA probabilistic framework for representing and simulating uncertain environmental variables / Gerard B.M. Heuvelink in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)PermalinkAssessing the effect of attribute uncertainty on the robustness of choropleth map classification / N. Xiao in International journal of geographical information science IJGIS, vol 21 n° 1-2 (january 2007)PermalinkPermalinkCan error explain map differences over time? / Robert Gilmore Pontius in Cartography and Geographic Information Science, vol 33 n° 2 (April 2006)PermalinkL'apport de données spatiales pour une base de données ethniographiques / Ana-Maria Olteanu-Raimond (2006)PermalinkPermalinkPermalinkProgress in Spatial Data Handling : 12th International Symposium on Spatial Data Handling / Andreas Riedl (2006)PermalinkOn possible measures for evaluating the degree of uncertainty of fuzzy thematic maps / C. Ricotta in International Journal of Remote Sensing IJRS, vol 26 n° 24 (December 2005)PermalinkIntegrating high resolution remote sensing, GIS and fuzzy set theory for identifying susceptibility areas of forest insect infestations / C. Bone in International Journal of Remote Sensing IJRS, vol 26 n° 21 (November 2005)PermalinkExploring the hidden potential of common spatial data models to visualize uncertainty / J. Kardos in Cartography and Geographic Information Science, vol 32 n° 4 (October 2005)PermalinkRéflexions sur les incertitudes et leurs propagations en analyse spatiale / R. Caloz in Revue internationale de géomatique, vol 15 n° 3 (septembre – novembre 2005)PermalinkVisualisation of qualitative locations in geographic information systems / X. Yao in Cartography and Geographic Information Science, vol 32 n° 4 (October 2005)PermalinkDigital terrain model computation from contour lines: how to derive quality information from artifact analysis / Olivier Bonin in Geoinformatica, vol 9 n° 3 (September - November 2005)PermalinkGestion des sites et sols pollués : risques pour les eaux souterraines / D. Darmendrail in Géosciences, n° 2 (septembre 2005)PermalinkComparison of land cover maps using fuzzy agreement / Steffen Fritz in International journal of geographical information science IJGIS, vol 19 n° 7 (august 2005)PermalinkUsing uncertain conceptual spaces to translate between land cover categories / O. Ahlqvist in International journal of geographical information science IJGIS, vol 19 n° 7 (august 2005)PermalinkEstimating and accommodating uncertainty through the soft classification of remote sensing data / M.A. Ibrahim in International Journal of Remote Sensing IJRS, vol 26 n° 14 (July 2005)PermalinkMultivariate texture-based segmentation of remotely sensed imagery for extraction of objects and their uncertainty / Arko Lucieer in International Journal of Remote Sensing IJRS, vol 26 n° 14 (July 2005)PermalinkSpatial knowledge databases as applied to the detection of changes in urban land use / T.Y. Chou in International Journal of Remote Sensing IJRS, vol 26 n° 14 (July 2005)PermalinkVisualizing geospatial information uncertainty: what we know and what we need to know / Alan M. MacEachren in Cartography and Geographic Information Science, vol 32 n° 3 (July 2005)PermalinkTerrestrial Reference Frames effects on global sea level rise determination from Topex-Poseidon altimetric data / Laurent Morel in Advances in space research, vol 36 n° 3 (March 2005)PermalinkPath dependence and the validation of agent-based spatial models of land use / Daniel G. Brown in International journal of geographical information science IJGIS, vol 19 n° 2 (february 2005)PermalinkAlternative representations of in-stream habitat: classification using remote sensing, hydraulic modelling, and fuzzy logic / C. Legleiter in International journal of geographical information science IJGIS, vol 19 n° 1 (january 2005)PermalinkGeographic Information Systems and science / Paul A. Longley (2005)PermalinkQualité de l'information géographique / Rodolphe Devillers (2005)PermalinkSpatial data quality / P. Van Oort (2005)PermalinkData mining of cellular automata's transition rules / X. Li in International journal of geographical information science IJGIS, vol 18 n° 8 (december 2004)PermalinkIncertain SIG / Françoise de Blomac in SIG la lettre, n° 62 (décembre 2004)PermalinkA method for examining the spatial dimension of multi-criteria weight sensitivity / R. Feick in International journal of geographical information science IJGIS, vol 18 n° 8 (december 2004)PermalinkInteractive and visual fuzzy classification of remotely sensed imagery for exploration of uncertainty / Arko Lucieer in International journal of geographical information science IJGIS, vol 18 n° 5 (august 2004)PermalinkUncertainty and confidence in land cover classification using a hybrid classifier approach / W. Liu in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 8 (August 2004)PermalinkBelief change and pre-orders: a brief overview / Salem Benferhat in International journal of geographical information science IJGIS, vol 18 n° 4 (june 2004)PermalinkPermalinkDEXA 2004, Fifteenth International Workshop on Database and Expert Systems Applications / Fernando Galindo (2004)PermalinkGeoinformatics 2004, Volume 2. Proceedings of the 12th international conference on Geoinformatics, Geospatial Information Research : bridging the Pacific and Atlantic, University of Gävle, Sweden, 7-9 June 2004 / S. Anders Brandt (2004)PermalinkProceedings of the ISSDQ'04, Volume 2. [3rd international symposium on spatial data quality] / Andrew U. Franck (2004)PermalinkA comparison of two methods to create tracks of moving objects: linear weighted distance and constrained random walk [distance linéaire pondérée et trajet aléatoire contraint] / E.A. Wentz in International journal of geographical information science IJGIS, vol 17 n° 7 (october 2003)PermalinkAssessing vulnerability to earthquake hazards through spatial multicriteria analysis of urban areas / T. Rashed in International journal of geographical information science IJGIS, vol 17 n° 6 (september 2003)PermalinkRough and fuzzy geographical data integration / K. Oukbir in International journal of geographical information science IJGIS, vol 17 n° 3 (may 2003)PermalinkÉtude des incertitudes lors de calculs de risques d'inondations / Julien Ah Pine (2003)PermalinkGISRUK 2003, Proceedings of the GIS Research UK, 11th Annual Conference, 9th-11th April 2003, City University, London / Jo Wood (2003)PermalinkProceedings of the 2nd international symposium on spatial data quality '03, SDQ 2003, 19 - 20 March 2003, The Hong Kong Polytechnic University, Hong Kong / Wenzhong Shi (2003)PermalinkReliability considerations in geospatial information systems / J.A.R. Blais in Geomatica, vol 56 n° 4 (December 2002)PermalinkTowards the developments intelligent GIS: an approach to linguistic knowledge discovery / D. Zheng in GIM international, vol 16 n° 8 (August 2002)PermalinkResponding to the consequences of uncertainty in geographical data / A. Agumya in International journal of geographical information science IJGIS, vol 16 n° 5 (july 2002)PermalinkOptimized resource allocation for GIS-based model implementation / M. Crosetto in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 3 (March 2002)PermalinkAdvances in Spatial Data Handling : 10th International Symposium on Spatial Data Handling / Dianne Richardson (2002)PermalinkAnalyse statistique des données expérimentales / K. Protassov (2002)PermalinkECAI 2002, 15th European Conference on Artificial Intelligence, July 21-26, Lyon, France / Frank Van Harmelen (2002)PermalinkFuzzy objects: their changes and uncertainties / T. Cheng in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 1 (January 2002)PermalinkScale and texture in digital image classification / J.S. Ferro in Photogrammetric Engineering & Remote Sensing, PERS, vol 68 n° 1 (January 2002)Permalinkvol 68 n° 1 - January 2002 - The national elevation dataset (Bulletin de Photogrammetric Engineering & Remote Sensing, PERS) / American society for photogrammetry and remote sensingPermalinkAssessing fitness for use: the expected value of spatial data sets / S. De Bruin in International journal of geographical information science IJGIS, vol 15 n° 5 (july 2001)PermalinkUncertainty and sensitivity analysis: tools for GIS-based model implementation / M. Crosetto in International journal of geographical information science IJGIS, vol 15 n° 5 (july 2001)PermalinkSpatial prediction and uncertainty assessment of topographic factor for revised universal soil loss equation using digital elevation models / G. Wang in ISPRS Journal of photogrammetry and remote sensing, vol 56 n° 1 (May - June 2001)PermalinkError simulation in geographical databases: introducing controlled uncertainty in vector geographical information / Olivier Bonin in GIM international, vol 15 n° 3 (March 2001)Permalink