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Fuzzy modelling of growth potential in forest development simulation / Damjan Strnad in Ecological Informatics, vol 48 (November 2018)  

Public [article]  inEcological Informatics > vol 48 (November 2018) . - pp 80 - 88 Titre : Fuzzy modelling of growth potential in forest development simulation Type de document : Article/Communication Auteurs : Damjan Strnad, Auteur ; Štefan Kohek, Auteur ; Simon Kolmanič, Auteur Année de publication : 2018 Article en page(s) : pp 80 - 88 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation [Termes descripteurs IGN] analyse de sensibilité [Termes descripteurs IGN] biodiversité [Termes descripteurs IGN] composition floristique [Termes descripteurs IGN] croissance végétale [Termes descripteurs IGN] écosystème forestier [Termes descripteurs IGN] modèle de croissance [Termes descripteurs IGN] modèle de simulation [Termes descripteurs IGN] Slovénie [Termes descripteurs IGN] sous ensemble flou [Termes descripteurs IGN] surveillance écologique Résumé : (Auteur) In the paper, we introduce a new fuzzy-based model for calculation of plant growth potential in the context of forest development simulation, which is an important tool for prediction and monitoring of forest biodiversity. When modelling a forest ecosystem, one needs to account for a significant amount of ambiguity in the specification of plant requirements and environmental conditions, whose overlap determines the competitive potential of co-occurring species. The proposed fuzzy model addresses the imprecision and uncertainty about proper interpretation of numerically estimated growth conditions with respect to linguistically specified plant requirements. Individual requirement levels are represented as fuzzy sets to which estimated growth conditions are mapped, while plant needs are modelled as fuzzy numbers with adjustable tolerance radii. The growth potential with respect to a particular resource is then calculated as a membership of condition mean in a fuzzy set of plant demand. We validate the model operation within the ForestMAS simulator on real data obtained from six decades of observations registered at a forest fire recovery site in northern Slovenia. We show that the enhanced expressiveness about the tolerance of tree species to deviations of growth conditions allows the fuzzy model to improve the accuracy of forest composition prediction with respect to the crisp model. Sensitivity analysis also shows that, in many cases, the fuzzy model increases simulation robustness with respect to vaguely defined plant needs and estimated site conditions. Numéro de notice : A2019-229 Affiliation des auteurs : non IGN Thématique : FORET/MATHEMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.ecoinf.2018.08.002 date de publication en ligne : 11/08/2018 En ligne : https://doi.org/10.1016/j.ecoinf.2018.08.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92744 [article]

µ-shapes: Delineating urban neighborhoods using volunteered geographic information / Matt Aadland in Journal of Spatial Information Science (JoSIS), n° 12 (March 2016)  

Public [article]  inJournal of Spatial Information Science (JoSIS) > n° 12 (March 2016) . - pp 29 - 43 Titre : µ-shapes: Delineating urban neighborhoods using volunteered geographic information Type de document : Article/Communication Auteurs : Matt Aadland, Auteur ; Christopher Farah, Auteur ; Kevin Magee, Auteur Année de publication : 2016 Article en page(s) : pp 29 - 43 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique [Termes descripteurs IGN] analyse de variance [Termes descripteurs IGN] centroïde [Termes descripteurs IGN] délimitation [Termes descripteurs IGN] données localisées des bénévoles [Termes descripteurs IGN] matrice de confusion [Termes descripteurs IGN] répertoire toponymique [Termes descripteurs IGN] sous ensemble flou [Termes descripteurs IGN] traitement de données localisées [Termes descripteurs IGN] voisinage (topologie) [Termes descripteurs IGN] zone urbaine Résumé : (auteur) Urban neighborhoods are a unique form of geography in that their boundaries rely on a social definition rather than a well-defined physical or administrative boundary. Currently, geographic gazetteers capture little more than then the centroid of a neighborhood, limiting potential applications of the data. In this paper, we present µ-shapes, an algorithm that employs fuzzy-set theory to model neighborhood boundaries suitable for populating gazetteers using volunteered geographic information (VGI). The algorithm is evaluated using a reference dataset and VGI from the Map Kibera Project. A confusion matrix comparison between the reference dataset and µ-shape's output demonstrated high sensitivity and accuracy. Analysis of variance indicated that the algorithm was able to distinguish between boundary and interior blocks. This suggests that, given the existing state of GIS technology, the µ-shapes algorithm can enable neighborhood-related queries that incorporate spatial uncertainty, e.g., find all restaurants within the core of a neighborhood. Numéro de notice : A2016-954 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern En ligne : http://dx.doi.org/10.5311/JOSIS.2016.12.240 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83466 [article]

Reconstruct street network from imprecise excavation data using fuzzy Hough transforms / Cyril de Runz in Geoinformatica, vol 18 n° 2 (April 2014)  

Public [article]  inGeoinformatica > vol 18 n° 2 (April 2014) . - pp 253 - 268 Titre : Reconstruct street network from imprecise excavation data using fuzzy Hough transforms Type de document : Article/Communication Auteurs : Cyril de Runz, Auteur ; Eric Desjardin, Auteur ; Frédéric Piantoni, Auteur ; Michel Herbin, Auteur Année de publication : 2014 Article en page(s) : pp 253 - 268 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes descripteurs IGN] archéologie [Termes descripteurs IGN] base de données localisées [Termes descripteurs IGN] datation [Termes descripteurs IGN] extraction de traits caractéristiques [Termes descripteurs IGN] forme caractéristique [Termes descripteurs IGN] fouille archéologique [Termes descripteurs IGN] France (administrative) [Termes descripteurs IGN] géopositionnement [Termes descripteurs IGN] période gallo romaine [Termes descripteurs IGN] REIMS [Termes descripteurs IGN] sous ensemble flou [Termes descripteurs IGN] système d'information géographique [Termes descripteurs IGN] transformation de Hough [Termes descripteurs IGN] voie romaine Résumé : (Auteur) This paper proposes an approach for handling multivariate data in an archaeological Geographical Information System (GIS), providing a new tool to archaeologists and historians. Our method extracts potential objects of known shapes in a geographical database (GDB) devoted to archaeological excavations. In this work, archaeological information is organized according to three components: location, date and a shape parameter, in a context where data are imprecise and lacunar. To manage these aspects, a three-step methodology was developed using fuzzy sets modeling and adapting the fuzzy Hough transform. This methodology is applied in order to define the appropriate tool for a GDB of Roman street remains in Reims, France. The defined queries return an estimation of the possible presence of streets during a fuzzy time interval given by experts on the Roman period in Reims. Numéro de notice : A2014-226 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s10707-013-0183-1 date de publication en ligne : 19/05/2013 En ligne : https://doi.org/10.1007/s10707-013-0183-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=33129 [article]

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A method for extracting burned areas from Landsat TM/ETM+ images by soft aggregation of multiple Spectral Indices and a region growing algorithm / D. Stroppiana in ISPRS Journal of photogrammetry and remote sensing, vol 69 (April 2012)

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 69 (April 2012) . - pp 88 - 102 Titre : A method for extracting burned areas from Landsat TM/ETM+ images by soft aggregation of multiple Spectral Indices and a region growing algorithm Type de document : Article/Communication Auteurs : D. Stroppiana, Auteur ; Gloria Bordogna, Auteur ; P. Carrara, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 88 - 102 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes descripteurs IGN] analyse multicritère [Termes descripteurs IGN] cartographie des risques [Termes descripteurs IGN] Europe du sud [Termes descripteurs IGN] image Landsat-ETM+ [Termes descripteurs IGN] image Landsat-TM [Termes descripteurs IGN] incendie de forêt [Termes descripteurs IGN] sous ensemble flou [Termes descripteurs IGN] surveillance de la végétation Résumé : (Auteur) Since fire is a major threat to forests and wooded areas in the Mediterranean environment of Southern Europe, systematic regional fire monitoring is a necessity. Satellite data constitute a unique cost-effective source of information on the occurrence of fire events and on the extent of the area burned. Our objective is to develop a (semi-)automated algorithm for mapping burned areas from medium spatial resolution (30 m) satellite data. In this article we present a multi-criteria approach based on Spectral Indices, soft computing techniques and a region growing algorithm; theoretically this approach relies on the convergence of partial evidence of burning provided by the indices. Our proposal features several innovative aspects: it is flexible in adapting to a variable number of indices and to missing data; it exploits positive and negative evidence (bipolar information) and it offers different criteria for aggregating partial evidence in order to derive the layers of candidate seeds and candidate region growing boundaries. The study was conducted on a set of Landsat TM images, acquired for the year 2003 over Southern Europe and pre-processed with the LEDAPS (Landsat Ecosystem Disturbance Adaptive Processing System) processing chain for deriving surface spectral reflectance ?i in the TM bands. The proposed method was applied to show its flexibility and the sensitivity of the accuracy of the resulting burned area maps to different aggregation criteria and thresholds for seed selection. Validation performed over an entire independent Landsat TM image shows the commission and omission errors to be below 21% and 3%, respectively. Numéro de notice : A2012-195 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31642 [article]

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Accuracy 2010 / Nicholas J. Tate (2010)

Public Titre : Accuracy 2010 : Proceedings of the Ninth international symposium on spatial accuracy Assesment in natural resources and environmental sciences, Leicester, UK, 20 - 23 juillet 2010 Type de document : Actes de congrès Auteurs : Nicholas J. Tate, Auteur ; Peter F. Fisher, Auteur Congrès : Accuracy 2010, 9th international symposium on spatial accuracy assesment in natural resources and environmental sciences (20 - 23 juillet 2010; Leicester, Royaume-Uni), Commanditaire Editeur : Leicester [Royaume-Uni] : University of Leicester Année de publication : 2010 Importance : 436 p. Format : 21 x 30 cm Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] données localisées des bénévoles [Termes descripteurs IGN] géostatistique [Termes descripteurs IGN] géovisualisation [Termes descripteurs IGN] incertitude des données [Termes descripteurs IGN] incertitude géométrique [Termes descripteurs IGN] incertitude temporelle [Termes descripteurs IGN] précision des données [Termes descripteurs IGN] propagation d'erreur [Termes descripteurs IGN] sous ensemble flou [Termes descripteurs IGN] traitement de données localisées Index. décimale : CG2010 Actes de congrès en 2010 Note de contenu : 1 - Keynotes 2 - Remote sensing and image interpretation 3 - Fuzzy uncertainty 1 4 - Uncertainty in space and time 5 - Geostatistics 1 6 - ISPRS session 7 - Uncertainty propagation 8 - Land use and land cover 9 - DEM uncertainty 1 10 - Remote sensing 11 - Geoprocessing 12 - Model uncertainty and validation 13 - Vizualisation 14 - Sampling design 15 - Spatio-temporal uncertainty 16 - DEM uncertainty 2 17 - Geostatistics 2 18 - Fuzzy uncertainty 2 19 - DEM uncertainty 3 20 - Remote sensing classification 21 - Environmental quality 22 - Small area concerns 23 - Ecology and forestry 24 - VGI and web-based geoprocessing 25 - Geocoding and adress coding 26 - Posters Numéro de notice : 21370 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Actes Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90097

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• Assessing the accuracy of 'crowdsourced' data and its itegration with official spatial data sets / Maythm Al-Bakri (2010)

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Relative positions in words: a system that builds descriptions around Allen relations / P. Matsakis in International journal of geographical information science IJGIS, vol 24 n°1-2 (january 2010)  

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Representing geographical objects with scale-induced indeterminate boundaries: a neural network-based data model / José L. Silvan-Cardenas in International journal of geographical information science IJGIS, vol 23 n°3-4 (march - april 2009)

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Location approximation for local search services using natural language hints / S. Schockaert in International journal of geographical information science IJGIS, vol 22 n° 3 (march 2008)

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Multispectral 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)

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Higher order vagueness in geographical information: empirical geographical population of type N fuzzy sets / P. Fischer in Geoinformatica, vol 11 n° 3 (September - November 2007)

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A system of types and operators for handling vague spatial objects / A. Dilo in International journal of geographical information science IJGIS, vol 21 n° 3-4 (march - april 2007)

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La logique floue / Bernadette Bouchon-Meunier (2007)

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Proceedings of Accuracy 2006 / Mario Caetano (2006)  

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Integrating 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)

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Using 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)

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