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Auteur A. Nelson |
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A method for monitoring building construction in urban sprawl areas using object-based analysis of Spot 5 images and existing GIS data / Laurent Durieux in ISPRS Journal of photogrammetry and remote sensing, vol 63 n° 4 (July - August 2008)
[article]
Titre : A method for monitoring building construction in urban sprawl areas using object-based analysis of Spot 5 images and existing GIS data Type de document : Article/Communication Auteurs : Laurent Durieux, Auteur ; E. Lagabielle, Auteur ; A. Nelson, Auteur Année de publication : 2008 Article en page(s) : pp 399 - 408 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] aménagement urbain
[Termes IGN] analyse d'image orientée objet
[Termes IGN] analyse spatiale
[Termes IGN] détection du bâti
[Termes IGN] image SPOT 5
[Termes IGN] milieu urbain
[Termes IGN] Réunion, île de la
[Termes IGN] surveillance de l'urbanisation
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Urban sprawl has been identified as one of the most negative effects of global population growth on the environment and biodiversity. Frequent monitoring of urban sprawl is needed to limit the impact of this ongoing phenomenon. This paper proposes precise monitoring of building construction using an object-based classification methodology applied to Spot 5 images with a 2.5 m resolution. An application at a regional scale on Reunion Island in the Indian Ocean shows that this building extraction methodology has limitations in the production of reference urban maps because of difficulties in defining the shape and the number of buildings compared to classical photo-interpretation of aerial photography. However, these results are of great value for planning in urban sprawl areas where up-to-date information is lacking because of the rapid pace of house construction and residential development. Copyright ISPRS Numéro de notice : A2008-324 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2008.01.005 En ligne : https://doi.org/10.1016/j.isprsjprs.2008.01.005 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29317
in ISPRS Journal of photogrammetry and remote sensing > vol 63 n° 4 (July - August 2008) . - pp 399 - 408[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-08041 SL Revue Centre de documentation Revues en salle Disponible An elevation of void-filling interpolation methods for SRTM data / H.I. Reuter in International journal of geographical information science IJGIS, vol 21 n° 9-10 (october 2007)
[article]
Titre : An elevation of void-filling interpolation methods for SRTM data Type de document : Article/Communication Auteurs : H.I. Reuter, Auteur ; A. Nelson, Auteur ; A. Jarvis, Auteur Année de publication : 2007 Article en page(s) : pp 983 - 1008 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] fonction spline d'interpolation
[Termes IGN] image SRTM
[Termes IGN] interpolation
[Termes IGN] interpolation linéaire
[Termes IGN] interpolation spatiale
[Termes IGN] krigeage
[Termes IGN] MNS SRTM
[Termes IGN] modèle numérique de surface
[Termes IGN] Triangulated Irregular NetworkRésumé : (Auteur) The Digital Elevation Model that has been derived from the February 2000 Shuttle Radar Topography Mission (SRTM) has been one of the most important publicly available new spatial data sets in recent years. However, the 'finished' grade version of the data (also referred to as Version 2) still contains data voids (some 836,000 km2) - and other anomalies - that prevent immediate use in many applications. These voids can be filled using a range of interpolation algorithms in conjunction with other sources of elevation data, but there is little guidance on the most appropriate void-filling method. This paper describes: (i) a method to fill voids using a variety of interpolators, (ii) a method to determine the most appropriate void-filling algorithms using a classification of the voids based on their size and a typology of their surrounding terrain; and (iii) the classification of the most appropriate algorithm for each of the 3,339,913 voids in the SRTM data. Based on a sample of 1304 artificial but realistic voids across six terrain types and eight void size classes, we found that the choice of void-filling algorithm is dependent on both the size and terrain type of the void. Contrary to some previous findings, the best methods can be generalised as: kriging or inverse distance weighting interpolation for small and medium size voids in relatively flat low-lying areas; spline interpolation for small and medium-sized voids in high-altitude and dissected terrain; triangular irregular network or inverse distance weighting interpolation for large voids in very flat areas, and an advanced spline method (ANUDEM) for large voids in other terrains. Copyright Taylor & Francis Numéro de notice : A2007-553 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810601169899 En ligne : https://doi.org/10.1080/13658810601169899 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28916
in International journal of geographical information science IJGIS > vol 21 n° 9-10 (october 2007) . - pp 983 - 1008[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-07061 RAB Revue Centre de documentation En réserve L003 Disponible 079-07062 RAB Revue Centre de documentation En réserve L003 Disponible Multi-scale correlations between topography and vegetation in a hillside catchment of Honduras / A. Nelson in International journal of geographical information science IJGIS, vol 21 n° 1-2 (january 2007)
[article]
Titre : Multi-scale correlations between topography and vegetation in a hillside catchment of Honduras Type de document : Article/Communication Auteurs : A. Nelson, Auteur ; T. Oberthur, Auteur ; S. Cook, Auteur Année de publication : 2007 Article en page(s) : pp 145 - 174 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse multiéchelle
[Termes IGN] appariement d'images
[Termes IGN] déboisement
[Termes IGN] dégradation de l'environnement
[Termes IGN] données topographiques
[Termes IGN] flore locale
[Termes IGN] Honduras
[Termes IGN] indice de végétation
[Termes IGN] modèle conceptuel de données localisées
[Termes IGN] utilisation du solRésumé : (Auteur) All systems have causes and effects that can be appreciated at different spatial scales. Understanding and representing the complexity of multi-scale patterns in maps and spatial models are key research objectives. We describe the use of three types of correlation analyses: (1) a standard Pearson correlation coefficient, (2) a ‘global’ multi-scale correlation, and (3) local geographically weighted correlation. These methods were applied to topographic and vegetation indices in a small catchment in Honduras that is representative of the country's hillsides agro-ecosystem which suffers from severe environmental degradation due to land-use decisions that lead to deforestation, overgrazing, and unsustainable agricultural. If the geographical scale at which topography matters for land-use allocation can be determined, then integration of knowledge systems can be focused. Our preliminary results show that: (1) single-scale correlations do not adequately represent the relationship between NDVI and topographic indices; (2) peaks in the global multi-scale correlations in agricultural areas coincided with the median farm size, but there was no evidence of any community or larger-scale land-use planning or optimization; and (3) local multi-scale correlations varied considerably from the global results at all scales, and these variations have a strong spatial structure which may indicate local optimization of land use. Copyright Taylor & Francis Numéro de notice : A2007-030 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810600852263 En ligne : https://doi.org/10.1080/13658810600852263 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28396
in International journal of geographical information science IJGIS > vol 21 n° 1-2 (january 2007) . - pp 145 - 174[article]Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 079-07011 RAB Revue Centre de documentation En réserve L003 Disponible 079-07012 RAB Revue Centre de documentation En réserve L003 Disponible