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Mapping regional land cover with MODIS data for biological conservation: examples from the greater Yellowstone ecosystem, USA and PARA state, Brazil / K.J. Wessels in Remote sensing of environment, vol 92 n° 1 (15 July 2004)  

Public [article]  inRemote sensing of environment > vol 92 n° 1 (15 July 2004) . - pp 67 - 83 Titre : Mapping regional land cover with MODIS data for biological conservation: examples from the greater Yellowstone ecosystem, USA and PARA state, Brazil Type de document : Article/Communication Auteurs : K.J. Wessels, Auteur ; R.S. de Fries, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 67 - 83 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] biodiversité [Termes IGN] carte d'occupation du sol [Termes IGN] classification dirigée [Termes IGN] classification par arbre de décision [Termes IGN] déboisement [Termes IGN] fractionnement [Termes IGN] habitat animal [Termes IGN] image Landsat-TM [Termes IGN] image Terra-MODIS [Termes IGN] limite de résolution géométrique [Termes IGN] occupation du sol [Termes IGN] Para (Brésil) [Termes IGN] parc naturel national Résumé : (Auteur) The paper investigated the application of MODIS data for mapping regional land cover at moderate resolutions (250 and 500 m), for regional conservation purposes. Land cover maps were generated for two major conservation areas (Greater Yellowstone Ecosystem-GYE, USA and the Pard State, Brazil) using MODIS data and decision tree classifications. The MODIS land cover products were evaluated using existing Landsat TM land cover maps as reference data. The Landsat TM land cover maps were processed to their fractional composition at the MODIS resolution (250 and 500 m). In GYE, the MODIS land cover was very successful at mapping extensive cover types (e.g. coniferous forest and grasslands) and far less successful at mapping smaller habitats (e.g. wetlands, deciduous tree cover) that typically occur in patches that are smaller than the MODIS pixels, but are reported to be very important to biodiversity conservation. The MODIS classification for Pard State was successful at producing a regional forest/non-forest product which is useful for monitoring the extreme human impacts such as deforestation. The ability of MODIS data to map secondary forest remains to be tested, since regrowth typically harbors reduced levels of biodiversity. The two case studies showed the value of using multi-date 250 m data with only two spectral bands, as well as single day 500 m data with seven spectral bands, thus illustrating the versatile use of MODIS data in two contrasting environments. MODIS data provide new options for regional land cover mapping that are less labor-intensive than Landsat and have higher resolution than previous 1km AVHRR or the current 1 km global land cover product. The usefulness of the MODIS data in addressing biodiversity conservation questions will ultimately depend upon the patch sizes of important habitats and the land cover transformations that threaten them. Numéro de notice : A2004-299 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.05.002 En ligne : https://doi.org/10.1016/j.rse.2004.05.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26826 [article]

Mapping vegetation in a heterogeneous mountain rangeland using Landsat data: an alternative method to define and classify land-cover units / A.M. Cingolani in Remote sensing of environment, vol 92 n° 1 (15 July 2004)  

Public [article]  inRemote sensing of environment > vol 92 n° 1 (15 July 2004) . - pp 84 - 97 Titre : Mapping vegetation in a heterogeneous mountain rangeland using Landsat data: an alternative method to define and classify land-cover units Type de document : Article/Communication Auteurs : A.M. Cingolani, Auteur ; D. Renison, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 84 - 97 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse comparative [Termes IGN] analyse discriminante [Termes IGN] Argentine [Termes IGN] bande spectrale [Termes IGN] carte de la végétation [Termes IGN] classification dirigée [Termes IGN] classification par maximum de vraisemblance [Termes IGN] données de terrain [Termes IGN] état de conservation [Termes IGN] flore locale [Termes IGN] image Landsat [Termes IGN] limite de résolution géométrique [Termes IGN] montagne [Termes IGN] occupation du sol [Termes IGN] photo-interprétation assistée par ordinateur Résumé : (Auteur) Three major problems are faced when mapping natural vegetation with mid-resolution satellite images using conventional supervised classification techniques: defining the adequate hierarchical level for mapping; defining discrete land cover units discernible by the satellite; and selecting representative training sites. In order to solve these problems, we developed an approach based on the: (1) definition of ecologically meaningful units as mosaics or repetitive combinations of structural types, (2) utilization of spectral information (indirectly) to define the units, (3) exploration of two alternative methods to classify the units once they are defined: the traditional, Maximum Likelihood method, which was enhanced by analyzing objective ways of selecting the best training sites, and an alternative method using Discriminant Functions directly obtained from the statistical analysis of signatures. The study was carried out in a heterogeneous mountain rangeland in central Argentina using Landsat data and 251 field sampling sites. On the basis of our analysis combining terrain information (a matrix of 251 stands X 14 land cover attributes) and satellite data (a matrix of 251 stands x 8 bands), we defined 8 land cover units (mosaics of structural types) for mapping, emphasizing the structural types which had stronger effects on reflectance. The comparison through field validation of both methods for mapping units showed that classification based on Discriminant Functions produced better results than the traditional Maximum Likelihood method (accuracy of 86% vs. 78%). Numéro de notice : A2004-300 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2004.05.008 En ligne : https://doi.org/10.1016/j.rse.2004.05.008 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26827 [article]

Change detection techniques / Dong Lu in International Journal of Remote Sensing IJRS, vol 25 n° 12 (June 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 12 (June 2004) . - pp 2365 - 2407 Titre : Change detection techniques Type de document : Article/Communication Auteurs : Dong Lu, Auteur ; P. Mausel, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 2365 - 2407 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse comparative [Termes IGN] analyse des mélanges spectraux [Termes IGN] analyse en composantes principales [Termes IGN] capteur (télédétection) [Termes IGN] classification dirigée [Termes IGN] classification par réseau neuronal [Termes IGN] détection de changement [Termes IGN] limite de résolution géométrique [Termes IGN] seuillage d'image [Termes IGN] système d'information géographique [Termes IGN] traitement d'image Résumé : (Auteur) Timely and accurate change detection of Earth's surface features is extremely important for understanding relationships and interactions between human and natural phenomena in order to promote better decision making. Remote sensing data are primary sources extensively used for change detection in recent decades. Many change detection techniques have been developed. This paper summarizes and reviews these techniques. Previous literature has shown that image differencing, principal component analysis and post-classification comparison are the most common methods used for change detection. In recent years, spectral mixture analysis, artificial neural networks and integration of geographical information system and remote sensing data have become important techniques for change detection applications. Different change detection algorithms have their own merits and no single approach is optimal and applicable to all cases. In practice, different algorithms are often compared to find the best change detection results for a specific application. Research of change detection techniques is still an active topic and new techniques are needed to effectively use the increasingly diverse and complex remotely sensed data available or projected to be soon available from satellite and airborne sensors. This paper is a comprehensive exploration of all the major change detection approaches implemented as found in the literature. Numéro de notice : A2004-223 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116031000139863 En ligne : https://doi.org/10.1080/0143116031000139863 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26750 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-04101	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Examining 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)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 11 (June 2004) . - pp 2177 - 2092 Titre : Examining the effect of spatial resolution and texture window size on classification accuracy: an urban environment case Type de document : Article/Communication Auteurs : D. Chen, Auteur ; D.A. Stow, Auteur ; P. Gong, Auteur Année de publication : 2004 Article en page(s) : pp 2177 - 2092 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse comparative [Termes IGN] classification par maximum de vraisemblance [Termes IGN] image multibande [Termes IGN] limite de résolution géométrique [Termes IGN] limite de résolution spectrale [Termes IGN] milieu urbain [Termes IGN] occupation du sol [Termes IGN] périphérie urbaine [Termes IGN] précision de la classification [Termes IGN] San Diego [Termes IGN] texture d'image Résumé : (Auteur) The purpose of this paper is to evaluate spatial resolution effects on image classification. Classification maps were generated with a maximum likelihood (ML) classifier applied to three multi-spectral bands and variance texture images. A total of eight urban land use/cover classes were obtained at six spatial resolution levels based on a series of aggregated Colour Infrared Digital Orthophoto Quarter Quadrangle (DOQQ) subsets in urban and rural fringe areas of the San Diego metropolitan area. The classification results were compared using overall and individual classification accuracies. Classification accuracies were shown to be influenced by image spatial resolution, window size used in texture extraction and differences in spatial structure within and between categories. The more heterogeneous arc the land use/cover units and the more fragmented are the landscapes, the finer the resolution required. Texture was more effective for improving the classification accuracy of land use classes at finer resolution levels. For spectrally homogeneous classes, a small window is preferable. But for spectrally heterogeneous classes, a large window size is required. Numéro de notice : A2004-230 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001618464 En ligne : https://doi.org/10.1080/01431160310001618464 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26757 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-04091	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Entretien avec Bertrand Levy, directeur général de l'IGN : SPOT 5 pour la mise à jour du référentiel à grande échelle (RGE) / A.M. Bernard in SPOT magazine, n° 38 (01/06/2004)

Public [article]  inSPOT magazine > n° 38 (01/06/2004) . - pp 11 - 13 Titre : Entretien avec Bertrand Levy, directeur général de l'IGN : SPOT 5 pour la mise à jour du référentiel à grande échelle (RGE) Type de document : Article/Communication Auteurs : A.M. Bernard, Auteur Année de publication : 2004 Article en page(s) : pp 11 - 13 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Information géographique [Termes IGN] cartographie numérique [Termes IGN] image SPOT 5 [Termes IGN] Institut géographique national (France) [Termes IGN] limite de résolution géométrique [Termes IGN] mise à jour de base de données [Termes IGN] référentiel à grande échelle Résumé : (Auteur) l'Institut Géographique National (IGN) a décidé d'évaluer l'utilisation des images Spot 5 dans le processus de mise à jour du RGE sur l'ensemble du territoire national. Spot Image devra dès 2005 procéder à la couverture 2,5 m couleurs de 20 départements français représentant le quart du territoire métropolitain. Cette opération est la première étape d'une évolution stratégique dans laquelle s'inscrit à terme l'utilisation des images de la future constellation Pléiades. Copyright Spot magazine Numéro de notice : A2004-621 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27138 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
273-04021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Du pixel à la mosaïque / A.M. Bernard in SPOT magazine, n° 37 (01/06/2004)

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Télédétection et traitement des images optiques / Christophe Valorge (2004)

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Using textural and geometric information for an automatic bridge detection system / Roger Trias-Sanz (2004)  

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Spatial resolution improvement of remote sensing images by fusion of subpixel-shifted multi-observation images / Y. Lu in International Journal of Remote Sensing IJRS, vol 24 n° 23 (December 2003)  

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Increasing the spatial resolution of agricultural land cover maps using a Hopfield neural network / A.J. Tatem in International journal of geographical information science IJGIS, vol 17 n° 7 (october 2003)  

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Conception et mise en place d'un polygone d'étalonnage des caméras numériques sur le site de l'école nationale des sciences géographiques / S. Oueslati (2003)

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Digital photogrammetry / W. Linder (2003)

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Evolution et amélioration du traitement géométrique des produits Spot 1 à 4 / Laure Chandelier (2003)

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Revue des méthodes de fusion d'images de télédétection de résolutions spatiales différentes / Florence Laporterie-Dejean in Bulletin [Société Française de Photogrammétrie et Télédétection], n° 169 (Janvier 2003)

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Comparative evaluation of Indian remote sensing multi-spectral sensors data for crop classification / R.P. Singh in Geocarto international, vol 17 n° 2 (June - August 2002)  

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