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Termes IGN > aménagement > urbanisme
urbanisme
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Aménagement urbain, Développement urbain, Habitat (urbanisme), Planification urbaine, Ville modèle. Synonyme(s)aménagement urbainVoir aussi |
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Mapping urban extent using satellite radar interferometry / W. Grey in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)
[article]
Titre : Mapping urban extent using satellite radar interferometry Type de document : Article/Communication Auteurs : W. Grey, Auteur ; A. Luckman, Auteur Année de publication : 2003 Article en page(s) : pp 957 - 961 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] cartographie urbaine
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] couple stéréoscopique
[Termes IGN] croissance urbaine
[Termes IGN] image ERS-SAR
[Termes IGN] image radar moirée
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] Kappa de Cohen
[Termes IGN] milieu rural
[Termes IGN] milieu urbain
[Termes IGN] Pays de GallesRésumé : (Auteur) Phase coherence between pairs of ERS SAR images is investigated as a method for mapping urban extent in South Wales, United Kingdom. Separability indices show that image pairs with time delays of greater than 2 months and baseline separations of less than 300 m can discriminate effectively between urban and non-urban land. Classification kappa coefficients greater than 90 percent are achieved, and there is evidence to suggest that a single coherence threshold is applicable for mapping urban extent in any similar landscape. Numéro de notice : A2003-225 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.9.957 En ligne : https://doi.org/10.14358/PERS.69.9.957 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22520
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 9 (September 2003) . - pp 957 - 961[article]Modeling urban population growth from remotely sensed imagery and TIGER GIS road data / F. Qiu in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)
[article]
Titre : Modeling urban population growth from remotely sensed imagery and TIGER GIS road data Type de document : Article/Communication Auteurs : F. Qiu, Auteur ; K.L. Woller, Auteur ; R. Briggs, Auteur Année de publication : 2003 Article en page(s) : pp 1031 - 1042 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] croissance urbaine
[Termes IGN] démographie
[Termes IGN] détection de changement
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] modèle mathématique
[Termes IGN] population urbaine
[Termes IGN] recensement démographique
[Termes IGN] réseau routier
[Termes IGN] Texas (Etats-Unis)Résumé : (Auteur) We modeled population growth from 1990 to 2000 in the north Dallas-Fort Worth Metroplex using two different methods: a conventional model based on remote sensing land-use change detection, and a newly devised approach using GIS-derived road development measurements. These methods were applied at both city and census-tract levels and were evaluated against the actual population growth. It was found that accurate population growth estimates are achieved by both methods. At the census-tract level, our models yielded a comparable result with that obtained from a more complex commercial demographics model. At both city and census-tract levels, models using road development were better than those using land-use change detection. In addition to being efficient in cost and time, our models provide direct visualization of the distribution of the actual population growth within cities and census tracts when compared to commercial demographic models. Numéro de notice : A2003-233 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.9.1031 En ligne : https://doi.org/10.14358/PERS.69.9.1031 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22528
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 9 (September 2003) . - pp 1031 - 1042[article]Simulation of development alternatives using neural networks, cellular automata, and GIS for urban planning / A.G. Yeh in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)
[article]
Titre : Simulation of development alternatives using neural networks, cellular automata, and GIS for urban planning Type de document : Article/Communication Auteurs : A.G. Yeh, Auteur ; X. Li, Auteur Année de publication : 2003 Article en page(s) : pp 1043 - 1052 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] automate cellulaire
[Termes IGN] Chine
[Termes IGN] planification urbaine
[Termes IGN] réseau neuronal artificiel
[Termes IGN] simulation
[Termes IGN] système d'information géographiqueRésumé : (Auteur) This study integrates neural networks and cellular automata (CA) to simulate development alternatives for planning purposes. Most of the existing CA just focus on simulating realistic urban dynamics. This paper demonstrates that development alternatives can be simulated by incorporating planning objectives in CA. It is important to define appropriate parameter values for simulating development alternatives according to the planning objectives of planners and decision makers. Training neural networks can automatically yield the parameter values for urban simulation. GIS and remote sensing provide the training data for calibrating the model. However, the simulation can inherit past land-use problems if the original training data are used to calibrate the model. The original data should be assessed and modified so that the model can remember the past "failure" in land development. Planning objectives can thus be embedded in the model by properly modifying the training data sets. The training is robust because it is based on the well-defined back-propagation algorithm. Experiments were carried out by using the city of Dongguan, China as an example to test the model. Numéro de notice : A2003-234 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.9.1043 En ligne : https://doi.org/10.14358/PERS.69.9.1043 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22529
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 9 (September 2003) . - pp 1043 - 1052[article]Spatial metrics and image texture for mapping urban land use / Martin Herold in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 9 (September 2003)
[article]
Titre : Spatial metrics and image texture for mapping urban land use Type de document : Article/Communication Auteurs : Martin Herold, Auteur ; XiaoHang Liu, Auteur ; K.C. Clarke, Auteur Année de publication : 2003 Article en page(s) : pp 991 - 1001 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse texturale
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification orientée objet
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] milieu urbain
[Termes IGN] objet géographique
[Termes IGN] occupation du sol
[Termes IGN] photographie aérienne
[Termes IGN] utilisation du solRésumé : (Auteur) The arrival of new-generation, high -spatial-resolution satellite imagery (e.g., Ikonos) has opened up new opportunities for detailed mapping and analysis of urban land use. Drawing on the traditional approach used in aerial photointerpretation, this study investigates an "object-oriented" method to classify : large urban area into detailed land-use categories. Spatial metrics and texture measures are used to describe the spatial characteristics of land-cover objects within each land-use region as derived from interpreted aerial photographs. In assessing how land-use categories vary in their spatial configuration, spatial metrics were found to provide the most important information for differentiating urban land uses. A detailed land-use map with nine categories was derived for the Santa Barbara South Coast Region area. Results from our work suggest that the region-based method exploiting spatial metrics and texture measurements is a potential new avenue to extract detailed urban land-use information from high resolution satellite imagery. Numéro de notice : A2003-229 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.9.991 En ligne : https://doi.org/10.14358/PERS.69.9.991 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22524
in Photogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 9 (September 2003) . - pp 991 - 1001[article]Spectral resolution requirements for mapping urban areas / Martin Herold in IEEE Transactions on geoscience and remote sensing, vol 41 n° 9 (September 2003)
[article]
Titre : Spectral resolution requirements for mapping urban areas Type de document : Article/Communication Auteurs : Martin Herold, Auteur ; M.E. Gardner, Auteur ; D.A. Roberts, Auteur Année de publication : 2003 Article en page(s) : pp 1907 - 1919 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse comparative
[Termes IGN] cartographie urbaine
[Termes IGN] classification
[Termes IGN] image AVIRIS
[Termes IGN] image hyperspectrale
[Termes IGN] image Ikonos
[Termes IGN] image Landsat-TM
[Termes IGN] image multibande
[Termes IGN] image optique
[Termes IGN] milieu urbain
[Termes IGN] occupation du sol
[Termes IGN] précision de la classificationRésumé : (Auteur) This study evaluated how spectral resolution of spatial resolution optical remote sensing data influences detailed mapping of urban land cover. A comprehensive regional spectral library and low altitude data from the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) were used to characterize the spectral properties of urban land cover. The Bhattacharyya distance was applied as a measure of spectral separability to determine a most suitable subset of 14 AVIRIS bands for urban mapping. We evaluated the performance of this spectral setting versus common multispectral sensors such as Ikonos by assessing classification accuracy for 26 urban land cover classes. Significant limitations for current multispectral sensors were identified, where the location and broadband character of the spectral bands only marginally resolved the complex spectral characteristics of the urban environment, especially for built surface types. However, the AVIRIS classification accuracy did not exceed 66.6% for 22 urban cover types, primarily due to spectral similarities of specific urban materials and high withinclass variability. Numéro de notice : A2003-248 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.815238 En ligne : https://doi.org/10.1109/TGRS.2003.815238 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22543
in IEEE Transactions on geoscience and remote sensing > vol 41 n° 9 (September 2003) . - pp 1907 - 1919[article]Réservation
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