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Termes IGN > géomatique > base de données localisées > couche thématique > occupation du sol
occupation du sol
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Espace, organisation de l' Utilisation du sol Politique foncière Sol, Occupation du Sols -- Utilisation Sols -- Utilisation Terrains -- Utilisation Terrains, Utilisation des Utilisation du sol Espace (économie politique) >> Aménagement du territoire Paysage -- Évaluation Syndrome NIMBY >>Terme(s) spécifique(s) : Améliorations foncières Cadastres Décharges contrôlées Immobilier Photographie aérienne en utilisation du sol Politique forestière Promotion immobilière Propriété foncière Propriété immobilière -- Acquisition par l'Administration Terres publiques Zones d'aménagement différé Equiv. LCSH : Land use Domaine(s) : 330 |
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Nested hyper-rectangle learning model for remote sensing: land-cover classification / L. Chen in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 3 (March 2005)
[article]
Titre : Nested hyper-rectangle learning model for remote sensing: land-cover classification Type de document : Article/Communication Auteurs : L. Chen, Auteur Année de publication : 2005 Article en page(s) : pp 333 - 340 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] apprentissage dirigé
[Termes IGN] classification dirigée
[Termes IGN] classification par réseau neuronal
[Termes IGN] image SPOT-HRV
[Termes IGN] occupation du sol
[Termes IGN] TaïwanRésumé : (Auteur) This study presents an exemplar-based nested hyper-rectangle learning model (NHLM) which is an efficient and accurate supervised classification model. The proposed model is based on the concept of seeding training data in the Euclidean m-space (where m denotes the number of features) as hyper-rectangles. To express the exceptions, these hyper-rectangles may be nested inside one another to an arbitrary depth. The fast and one-shot learning procedures can adjust weights dynamically when new examples are added. Furthermore, the "second chance" heuristic is introduced in NHLM to avoid creating more memory objects than necessary. NHLM is applied to solving the land cover classification problem in Taiwan using remote sensed imagery. The study investigated five land cover classes and clouds. These six classes were chosen from field investigation of the study area according to previous study. Therefore, this paper aims to produce a land cover classification based on SPOT HRV spectral data. Compared with a standard back-propagation neural network (BPN), the experimental results indicate that NHLM provides a powerful tool for categorizing remote sensing data. Numéro de notice : A2005-107 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.71.3.333 En ligne : https://doi.org/10.14358/PERS.71.3.333 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27245
in Photogrammetric Engineering & Remote Sensing, PERS > vol 71 n° 3 (March 2005) . - pp 333 - 340[article]Analysis of land use drivers at the watershed and household level: Linking two paradigms at the Philippine forest fringe / K.P. Overmars in International journal of geographical information science IJGIS, vol 19 n° 2 (february 2005)
[article]
Titre : Analysis of land use drivers at the watershed and household level: Linking two paradigms at the Philippine forest fringe Type de document : Article/Communication Auteurs : K.P. Overmars, Auteur ; P.H. Verburg, Auteur Année de publication : 2005 Article en page(s) : pp 125 - 152 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] analyse spatiale
[Termes IGN] bassin hydrographique
[Termes IGN] carte d'occupation du sol
[Termes IGN] changement d'occupation du sol
[Termes IGN] données localisées
[Termes IGN] données socio-économiques
[Termes IGN] géographie physique
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Terra-ASTER
[Termes IGN] maïs (céréale)
[Termes IGN] Manille (Philippines)
[Termes IGN] Musa (genre)
[Termes IGN] occupation du sol
[Termes IGN] régression
[Termes IGN] rizière
[Termes IGN] utilisation du sol
[Termes IGN] variableRésumé : (Auteur) Land use and land cover change (LUCC) is the result of the complex interactions between behavioural and structural factors (drivers) associated with the demand, technological capacity, social relations and the nature of the environment in question. Although no general theory of land use change exists, different disciplinary theories can help us to analyse aspects of LUCC in specific situations. However, paradigms and theories applied by the different disciplines are often difficult to integrate and their specific research results do not easily combine into an integrated understanding of LUCC. Geographical approaches often aim to identify the location of LUCC in a spatially explicit way, while socio-economic studies aim to understand the processes of LUCC, but often lack spatial context and interactions. The objective of this study is to integrate process information from a socioeconomic study into a geographical approach. First, a logistic regression analysis is performed on household survey data from interviews. In this approach the occurrence of the land use types corn, wet rice and banana is explained by a set of variables that are hypothesised to be explanatory for those land use types, with fields as the unit of analysis. The independent variables consist of household characteristics, like ethnicity and age, and plot and field information, like tenure, slope and travel time. The results of these analyses are used to identify key variables explaining land use choice, which subsequently are also collected at watershed level, using maps, census data and remote sensing imagery. Logistic regression analysis of this spatial dataset, where a ten percent sample of a 50 by 50 m grid was analysed, shows that the key variables identified in the household analysis are also important at the watershed level. Important drivers in the study area are, among others, slope, ethnicity, accessibility and place of birth. The differences in the contribution of the variables to the models at household and watershed level can be attributed to differences in spatial extent and data representation. Comparing the model with a mainstream geographical approach indicates that the spatial model informed by the household analysis gives a better insight in the actual processes determining land use than the mainstream geographic approach. Numéro de notice : A2005-045 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE Nature : Article DOI : 10.1080/13658810410001713380 En ligne : https://doi.org/10.1080/13658810410001713380 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27183
in International journal of geographical information science IJGIS > vol 19 n° 2 (february 2005) . - pp 125 - 152[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 Calibrating a neural network-based urban change model for two metropolitan areas of the upper Midwest of the United States / B.C. Pijanowski in International journal of geographical information science IJGIS, vol 19 n° 2 (february 2005)
[article]
Titre : Calibrating a neural network-based urban change model for two metropolitan areas of the upper Midwest of the United States Type de document : Article/Communication Auteurs : B.C. Pijanowski, Auteur ; S. Pithadia, Auteur ; B.A. Shellito, Auteur ; K. Alexandridis, Auteur Année de publication : 2005 Article en page(s) : pp 197 - 215 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] Détroit
[Termes IGN] Kappa de Cohen
[Termes IGN] métropole
[Termes IGN] Minneapolis (Minnesota)
[Termes IGN] modèle de simulation
[Termes IGN] occupation du sol
[Termes IGN] pondération
[Termes IGN] spatial metrics
[Termes IGN] système d'information géographiqueRésumé : (Auteur) We parameterized neural net-based models for the Detroit and Twin Cities metropolitan areas in the US and attempted to test whether they were transferable across both metropolitan areas. Three different types of models were developed. First, we trained and tested the neural nets within each region and compared them against observed change. Second, we used the training weights from one area and applied them to the other. Third, we selected a small subset (- 1 %) of the Twin Cities area where a lot of urban change occurred. Four model performance metrics are reported : (1) Kappa; (2) the scale which correct and paired omission/commission errors exceed 50%; (3) landscape pattern metrics; and (4) percentage of cells in agreement between model simulations. We found that the neural net model in most cases performed well on pattern but not location using Kappa. The model performed well only in one case where the neural net weights from one area were used to simulate the other. We suggest that landscape metrics are good to judge model performance of land use change models but that Kappa might not be reliable for situations where a small percentage of urban areas change. Numéro de notice : A2005-048 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810410001713416 En ligne : https://doi.org/10.1080/13658810410001713416 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27186
in International journal of geographical information science IJGIS > vol 19 n° 2 (february 2005) . - pp 197 - 215[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 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 Estimation and monitoring of bare soil/vegetation ratio with SPOT vegetation and HRVIR / Grégoire Mercier in IEEE Transactions on geoscience and remote sensing, vol 43 n° 2 (February 2005)
[article]
Titre : Estimation and monitoring of bare soil/vegetation ratio with SPOT vegetation and HRVIR Type de document : Article/Communication Auteurs : Grégoire Mercier, Auteur ; Fernand Verger, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 348 - 354 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] agriculture
[Termes IGN] analyse multiéchelle
[Termes IGN] carte de Kohonen
[Termes IGN] classification par réseau neuronal
[Termes IGN] estimation statistique
[Termes IGN] image à haute résolution
[Termes IGN] image SPOT-HRVIR
[Termes IGN] image SPOT-Végétation
[Termes IGN] occupation du sol
[Termes IGN] pollution des eaux
[Termes IGN] réalité de terrain
[Termes IGN] sol nu
[Termes IGN] surface cultivée
[Termes IGN] surveillance agricole
[Termes IGN] végétationRésumé : (Auteur) Covering soils with vegetation during the fallow and planting seasons is one of the main ways to reduce water pollution, by restricting pollutant fluxes to aquatic systems. The bare soil/vegetation ratio monitoring can be carried out daily with a coarse spatial resolution using SPOT VEGETATION (1 km). Nevertheless, land-cover changes detected at a regional scale with this ratio may be due to winter vegetation cover changes as well as the influence of climatic events. Therefore, observed changes have to be validated from a local-scale analysis with higher spatial resolution data. The aim of this study is to develop a technique that allows high or low variations detected at a regional scale to be assessed from SPOT VEGETATION images with data acquired at a higher scale, SPOT High Resolution Visible and Infrared images in our case. In this study, the link between the images from the two sensors is achieved from the design of an artificial neural network method based on a Kohonen self-organizing map. The originality of this method lies in the use of external knowledge from ground observations and the use of temporal behavior to solve such a change of scale. Results of testing this method by using a potential change map based on the last few years' land-cover observations have shown a good correspondence between the observed and predicted bare soil/vegetation balance with regards to the spatial resolution difference between the two sensors. Numéro de notice : A2005-102 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/IGARSS.2003.1294745 En ligne : https://doi.org/10.1109/IGARSS.2003.1294745 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27240
in IEEE Transactions on geoscience and remote sensing > vol 43 n° 2 (February 2005) . - pp 348 - 354[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-05022 RAB Revue Centre de documentation En réserve L003 Disponible 065-05021 RAB Revue Centre de documentation En réserve L003 Disponible Exploring a spatio-dynamic neighbourhood-based model of residential behaviour in the Brussels periurban area / Geoffrey Caruso in International journal of geographical information science IJGIS, vol 19 n° 2 (february 2005)PermalinkApplication des réseaux bayésiens de classification dans les systèmes d'informatin géographique / Marie-Aline Cavarroc (2005)PermalinkCubic map algebra functions for spatio-temporal analysis / J. Mennis in Cartography and Geographic Information Science, vol 32 n° 1 (January 2005)PermalinkGIS, spatial analysis, and modeling / David J. Maguire (2005)PermalinkA high-reliability, high-resolution method for land cover classification into forest and non-forest / Roger Trias-Sanz (2005)PermalinkLinking imperviousness coefficient to urbanism features through Geographical Information Systems / Patricia Bordin (2005)PermalinkMise en place d'un SIG pour l'élaboration d'un schéma directeur d'aménagement d'une région - étude de cas / N. Tabia (2005)PermalinkProjet IGLOO / F. Chauve (2005)PermalinkPermalinkNormalized spectral mixture analysis for monitoring urban composition using ETM+ imagery / C. Wu in Remote sensing of environment, vol 93 n° 4 (15/12/2004)PermalinkDSM generation and evaluation from QuickBird stereo imagery with 3D physical modelling / Thierry Toutin in International Journal of Remote Sensing IJRS, vol 25 n° 22 (November 2004)PermalinkIntegrating land-cover data with different ontologies: identifying change from inconsistency / A. Comber in International journal of geographical information science IJGIS, vol 18 n° 7 (november 2004)PermalinkThe contribution of the sources separation method in the decomposition of mixed pixels / Mohamed Saber Naceur in IEEE Transactions on geoscience and remote sensing, vol 42 n° 11 (November 2004)PermalinkThe development of superspectral approaches for the improvement of land cover classification / M. Gianinetto in IEEE Transactions on geoscience and remote sensing, vol 42 n° 11 (November 2004)PermalinkRegional simulation of ecosystem CO2 and water vapor exchange for agricultural land using NOAA AVHRR and Terra MODIS satellite data: Application to Zealand, Denmark / Rasmus M. 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Subramanian in GEO:connexion, vol 3 n° 8 (september 2004)PermalinkEvaluating airborne hyperspectral imagery for rangeland assessment in south Texas / James H. Everitt in Geocarto international, vol 19 n° 3 (September - November 2004)PermalinkIntérêt des données issues du satellite SPOT-5 pour la cartographie des milieux naturels / Anne Jacquin in Revue internationale de géomatique, vol 14 n° 3 - 4 (septembre 2004 – février 2005)PermalinkIntérêt de la fusion d'images à haute résolution spatiale pour la classification de l'occupation du sol en milieu urbain / Yves Cornet in Revue internationale de géomatique, vol 14 n° 3 - 4 (septembre 2004 – février 2005)PermalinkSpatial variability in classification accuracy of agricultural crops in the Dutch national land-cover database / A.J.W. Van Oort in International journal of geographical information science IJGIS, vol 18 n° 6 (october 2004)PermalinkTree cover discrimination in panchromatic aerial imagery of Pinyon-Juniper woodlands / J.J. 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Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 7 (July 2004)PermalinkExamining the effect of spatial resolution and texture window size on classification accuracy: an urban environment case / D. Chen in International Journal of Remote Sensing IJRS, vol 25 n° 11 (June 2004)PermalinkProbabilistic landslide hazard mapping using GIS and remote sensing data at Boun, Korea / S. Lee in International Journal of Remote Sensing IJRS, vol 25 n° 11 (June 2004)Permalink3D visualization for the analysis of forest cover change / M.D. Dunbar in Geocarto international, vol 19 n° 2 (June - August 2004)PermalinkAssessing land cover changes in the coastal zone using aerial photography / Raid Al-Tahir in Surveying and land information science, vol 64 n° 2 (01/06/2004)PermalinkLand cover characterization of temperate east Asia using multi-temporal vegetation sensor data / S.H. 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