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Survival analysis of a neotropical rainforest using multitemporal satellite imagery / J.A. Greenberg in Remote sensing of environment, vol 96 n° 2 (30/05/2005)
[article]
Titre : Survival analysis of a neotropical rainforest using multitemporal satellite imagery Type de document : Article/Communication Auteurs : J.A. Greenberg, Auteur ; S.C. Kefauver, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 202 - 211 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] amérindien
[Termes IGN] analyse spatiale
[Termes IGN] déboisement
[Termes IGN] Equateur (état)
[Termes IGN] forêt équatoriale
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] impact sur l'environnement
[Termes IGN] parc naturel national
[Termes IGN] prédiction
[Termes IGN] routeRésumé : (Auteur) We present results of an analysis of deforestation at a UNESCO Biosphere Reserve, the Parque National Yasuni, located in the rainforests of eastern Ecuador using multitemporal Landsat TM and ETM+ satellite imagery. Using survival analysis, we assessed both current and future trends in deforestation rates, and investigated the impact of spatial, cultural, and economic factors on deforestation. These factors included the distance from roads, rivers research facilities, oil facilities, markets and towns, and land ownership by colonists, native inhabitants, and an oil company. We found the annual rate of deforestation is currently only 0.11%, but that this rate is increasing with time and, assuming that the trend of increasing rate of forest loss continues, we would predict that by 2063, 50% of the forest within 2 km of an oil access road will be lost to unhindered colonization and anthropogenic conversion. The Quechua colonists are associated with areas of the highest rate of deforestation, followed by the native Huaorani and the lowest region of deforestation was in areas occupied by a local oil company. By far, the strongest predictor of where deforestation is predicted to occur was proximity to the road. Proximity to research sites, oil facilities, market, and rivers significantly decreases deforestation rates, and proximity to towns significantly increases deforestation rates. Copyright Elsevier Numéro de notice : A2005-265 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2005.02.010 En ligne : https://doi.org/10.1016/j.rse.2005.02.010 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27401
in Remote sensing of environment > vol 96 n° 2 (30/05/2005) . - pp 202 - 211[article]Embedding landscape processes into triangulated terrain models / E.R. Vivoni in International journal of geographical information science IJGIS, vol 19 n° 4 (april 2005)
[article]
Titre : Embedding landscape processes into triangulated terrain models Type de document : Article/Communication Auteurs : E.R. Vivoni, Auteur ; V. Teles, Auteur ; V.Y. Ivanov, Auteur ; R.L. Bras, Auteur ; Dara Entekhabi, Auteur Année de publication : 2005 Article en page(s) : pp 429 - 457 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] bassin hydrographique
[Termes IGN] discrétisation spatiale
[Termes IGN] érosion hydrique
[Termes IGN] géomorphologie
[Termes IGN] modèle de simulation
[Termes IGN] pente
[Termes IGN] prédiction
[Termes IGN] ruissellement
[Termes IGN] simulation
[Termes IGN] système d'information géographique
[Termes IGN] topographie
[Termes IGN] Triangulated Irregular Network
[Termes IGN] triangulation localeRésumé : (Auteur) Triangulated irregular networks (TIN) can form the basis for multiple-resolution representations in distributed hydrogeomorphic simulations over complex basins. Current methods for deriving TIN meshes depend primarily on surface slope without considering other terrain attributes significant to the watershed response such as the specific basin area. As an alternative, we present a methodology for combining a hydrogeomorphic or landscape index with an unstructured triangulated mesh. Landscape indices provide a concise method for describing steady-state terrain processes by isolating the dominant physical factors. The mesh-generation algorithm results in an adaptive discretization that resembles the spatial pattern of the landscape index with a high resolution retained in areas expected to impact the basin response. We compare the proposed algorithm with a slope-preserving method as a means for initializing the terrain representation in two TIN-based hydrogeomorphic models. Through three case studies in saturation-excess runoff, transport-limited soil erosion and shallow landslide simulation, we assess the distributed model sensitivity to the triangulated terrain algorithm. Model comparisons reveal that the process-based triangulations focus the distributed simulation in regions anticipated via a steady-state index to affect the transient watershed response. Numéro de notice : A2005-098 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810512331325111 En ligne : https://doi.org/10.1080/13658810512331325111 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27236
in International journal of geographical information science IJGIS > vol 19 n° 4 (april 2005) . - pp 429 - 457[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-05041 RAB Revue Centre de documentation En réserve L003 Disponible 079-05042 RAB Revue Centre de documentation En réserve L003 Disponible Sparse grids: a new predictive modelling method for the analysis of geographic data / S.W. Laffan in International journal of geographical information science IJGIS, vol 19 n° 3 (march 2005)
[article]
Titre : Sparse grids: a new predictive modelling method for the analysis of geographic data Type de document : Article/Communication Auteurs : S.W. Laffan, Auteur ; O.M. Nielsen, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 267 - 292 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse comparative
[Termes IGN] analyse spatiale
[Termes IGN] apprentissage automatique
[Termes IGN] Australie
[Termes IGN] classification par réseau neuronal
[Termes IGN] exploration de données géographiques
[Termes IGN] géomorphométrie
[Termes IGN] grille aérée
[Termes IGN] morphologie mathématique
[Termes IGN] prédictionRésumé : (Auteur) We introduce in this paper a new predictive modelling method to analyse geographic data known as sparse grids. The sparse grids method has been developed for data-mining applications. It is a machine-learning approach to data analysis and has great applicability to the analysis and understanding of geographic data and processes. Sparse grids are a subset of grid-based predictive modelling approaches. The advantages they have over other grid-based methods are that they use fewer parameters and are less susceptible to the curse of dimensionality. These mean that they can be applied to many geographic problems and are readily adapted to the analysis of geographically local samples. We demonstrate the utility of the sparse grids system using a large and spatially extensive data set of regolith samples from Weipa, Australia. We apply both global and local analyses to find relationships between the regolith data and a set of geomorphometric, hydrologic and spectral variables. The results of the global analyses are much better than those generated using an artificial neural network, and the local analysis results are better than those generated using moving window regression for the same analysis window size. The sparse grids system provides a potentially powerful tool for the analysis and understanding of geographic processes and relationships. Numéro de notice : A2005-076 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810512331319118 En ligne : https://doi.org/10.1080/13658810512331319118 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27214
in International journal of geographical information science IJGIS > vol 19 n° 3 (march 2005) . - pp 267 - 292[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-05031 RAB Revue Centre de documentation Revues en salle Disponible 079-05032 RAB Revue Centre de documentation Revues en salle Disponible Comparison of the structure and accuracy of two land change models / Robert Gilmore Pontius in International journal of geographical information science IJGIS, vol 19 n° 2 (february 2005)
[article]
Titre : Comparison of the structure and accuracy of two land change models Type de document : Article/Communication Auteurs : Robert Gilmore Pontius, Auteur ; J. Malanson, Auteur Année de publication : 2005 Article en page(s) : pp 243 - 265 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] analyse comparative
[Termes IGN] analyse spatiale
[Termes IGN] automate cellulaire
[Termes IGN] chaîne de Markov
[Termes IGN] changement d'occupation du sol
[Termes IGN] Massachusetts (Etats-Unis)
[Termes IGN] modèle de simulation
[Termes IGN] occupation du sol
[Termes IGN] prédictionRésumé : (Auteur) This paper compares two land change models in terms of appropriateness for various applications and predictive power. Cellular Automata Markov (CA-Markov) and Geomod are the two models, which have similar options to allow for specification of the predicted quantity and location of land categories. The most important structural difference is that CA-Markov has the ability to predict any transition among any number of categories, while Geomod predicts only a one-way transition from one category to one alternative category. To assess the predictive power, each model is run several times to predict land change in central Massachusetts, USA. The models are calibrated with information from 1971 to 1985, and then the models predict the change from 1985 to 1999. The method to measure the predictive power: 1) separates the calibration process from the validation process, 2) assesses the accuracy at multiple resolutions, and 3) compares the predictive model vis-A-vis a null model that predicts pure persistence. Among 24 model runs, the predictive models are more accurate than the null model at resolutions coarser than two kilometres, but not at resolutions finer than one kilometre. The choice of the options account for more variation in accuracy of runs than the choice of the model per se. The most accurate model runs are those that did not use spatial contiguity explicitly. For this particular study area, the added complexity of CA-Markov is of no benefit. Numéro de notice : A2005-050 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810410001713434 En ligne : https://doi.org/10.1080/13658810410001713434 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27188
in International journal of geographical information science IJGIS > vol 19 n° 2 (february 2005) . - pp 243 - 265[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-05021 RAB Revue Centre de documentation En réserve L003 Disponible 079-05022 RAB Revue Centre de documentation En réserve L003 Disponible Path 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)
[article]
Titre : Path dependence and the validation of agent-based spatial models of land use Type de document : Article/Communication Auteurs : Daniel G. Brown, Auteur ; S. Page, Auteur ; M. Zellner, Auteur ; W. Rand, Auteur Année de publication : 2005 Article en page(s) : pp 153 - 174 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] agent (intelligence artificielle)
[Termes IGN] analyse spatiale
[Termes IGN] incertitude des données
[Termes IGN] instance
[Termes IGN] Michigan (Etats-Unis)
[Termes IGN] modèle stochastique
[Termes IGN] prédiction
[Termes IGN] système complexe
[Termes IGN] système multi-agents
[Termes IGN] urbanisation
[Termes IGN] utilisation du solRésumé : (Auteur) In this paper, we identify two distinct notions of accuracy of land-use models and highlight a tension between them. A model can have predictive accuracy: its predicted land-use pattern can be highly correlated with the actual land-use pattern. A model can also have process accuracy : the process by which locations or land-use patterns are determined can be consistent with real world processes. To balance these two potentially conflicting motivations, we introduce the concept of the invariant region, i.e., the area where land-use type is almost certain, and thus path independent; and the variant region, i.e., the area where land use depends on a particular series of events, and is thus path dependent. We demonstrate our methods using an agent-based land-use model and using multitemporal land-use data collected for Washtenaw County, Michigan, USA. The results indicate that, using the methods we describe, researchers can improve their ability to communicate how well their model performs, the situations or instances in which it does not perform well, and the cases in which it is relatively unlikely to predict well because of either path dependence or stochastic uncertainty. Numéro de notice : A2005-046 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810410001713399 En ligne : https://doi.org/10.1080/13658810410001713399 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27184
in International journal of geographical information science IJGIS > vol 19 n° 2 (february 2005) . - pp 153 - 174[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-05021 RAB Revue Centre de documentation En réserve L003 Disponible 079-05022 RAB Revue Centre de documentation En réserve L003 Disponible Event-oriented approaches to geographic phenomena / Michael F. Worboys in International journal of geographical information science IJGIS, vol 19 n° 1 (january 2005)PermalinkModélisations en géographie / Y. Guermond (2005)PermalinkAutomated forest fire and flood hazard protection system disaster management: linking people and the environment / K.D. Kalabokidis in Geoinformatics, vol 7 n° 2 (01/03/2004)PermalinkLocal geoid determination using global positioning systems / K. Jeyapalan in Surveying and land information science, vol 64 n° 1 (01/03/2004)PermalinkSpatial simulation for translating from land use to land cover / Daniel G. Brown in International journal of geographical information science IJGIS, vol 18 n° 1 (january - february 2004)PermalinkPermalinkUsing GIS to analyse a severe forest blowdown in the southern Rocky Mountains / J.D. Lindemann in International journal of geographical information science IJGIS, vol 16 n° 4 (june 2002)PermalinkTélédétection et logique floue : diagnostic et prospections temporelles de la déforestation sur un front pionnier tropical / Gilles Selleron in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 167 (Avril 2002)PermalinkArtificial neural networks as a tool for spatial interpolation / J.P. Rigol in International journal of geographical information science IJGIS, vol 15 n° 4 (june 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)PermalinkKnowledge-based multivariate GIS application in environmental modeling / R.S. Ofren in Geocarto international, vol 16 n° 1 (March - May 2001)PermalinkSpace surveillance of epidemics: case of the Rift Valley fever / P. Sabatier (2001)PermalinkPredicting forest stand characteristics with airborne scanning Lidar / J.E. Means in Photogrammetric Engineering & Remote Sensing, PERS, vol 66 n° 11 (November 2000)PermalinkAbsolute and relative gravimetry 1990-1992-1995 in the Western Yunnan earthquake prediction experimental area / Wolfgang Torge (1999)PermalinkRaisonnement à partir de cas pour des évolutions spatiotemporelles de processus / S. Loriette-Rougegrez in Revue internationale de géomatique, vol 8 n°1-2 (mars – août 1998)PermalinkProceedings of the second workshop Application of artificial intelligence techniques in seismology and engineering seismology / M. Garcia-Fernandez (1996)PermalinkPredictive models for remotely-sensed data acquisition in Indonesia / Jean-Philippe Gastellu-Etchegorry in International Journal of Remote Sensing IJRS, vol 9 n° 7 (July 1988)PermalinkPredictability of the Earth's polar motion / B. Fong Chao (1984)Permalink