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Global land ice measurements from space (GLIMS) : remote sensing and GIS investigations of the Earth's cryosphere / M.P. Bishop in Geocarto international, vol 19 n° 2 (June - August 2004)  

Public [article]  inGeocarto international > vol 19 n° 2 (June - August 2004) . - pp 57 - 84 Titre : Global land ice measurements from space (GLIMS) : remote sensing and GIS investigations of the Earth's cryosphere Type de document : Article/Communication Auteurs : M.P. Bishop, Auteur ; J.A. Olsenholler, Auteur ; J.F. Shroder, Auteur ; et al., Auteur Année de publication : 2004 Article en page(s) : pp 57 - 84 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] anisotropie [Termes IGN] atmosphère terrestre [Termes IGN] changement climatique [Termes IGN] climat froid [Termes IGN] correction radiométrique [Termes IGN] cryosphère [Termes IGN] glaciologie [Termes IGN] Global Land Ice Measurements from Space [Termes IGN] impact sur l'environnement [Termes IGN] lithosphère [Termes IGN] système d'information géographique [Termes IGN] télédétection spatiale [Termes IGN] température Résumé : (Auteur) Concerns over greenhouse-gas forcing and global temperatures have initiated research into understanding climate forcing and associated Earth-system responses. A significant component is the Earth's cryosphere, as glacier- related, feedback mechanisms govern atmospheric, hydrospheric and lithospheric response. Predicting the human and natural dimensions of climate-induced environmental change requires global, regional and local information about ice-mass distribution, volumes, and fluctuations. The Global Land-ice Measurements from Space (GLIMS) project is specifically designed to produce and augment baseline information to facilitate glacier-change studies. This requires addressing numerous issues, including the generation of topographic information, anisotropic-reflectance correction of satellite imagery, data fusion and spatial analysis, and GIS-based modeling. Field and satellite investigations indicate that many small glaciers and glaciers in temperate regions are downwasting and retreating, although detailed mapping and assessment are still required to ascertain regional and global patterns of ice-mass variations. Such remote sensing/GIS studies, coupled with field investigations, are vital for producing baseline information on glacier changes, and improving our understanding of the complex linkages between atmospheric, lithospheric, and glaciological processes. Numéro de notice : A2004-289 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040408542319 Date de publication en ligne : 02/01/2008 En ligne : https://doi.org/10.1080/10106040408542319 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26816 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-04021	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Spot panchromatic imagery and neural networks for information extraction in a complex mountain environment / M.P. Bishop in Geocarto international, vol 14 n° 2 (June - August 1999)  

Public [article]  inGeocarto international > vol 14 n° 2 (June - August 1999) . - 10 p. ; pp 17 - 26 Titre : Spot panchromatic imagery and neural networks for information extraction in a complex mountain environment Type de document : Article/Communication Auteurs : M.P. Bishop, Auteur ; J. Shroder, Auteur ; B.L. Hickman, Auteur Année de publication : 1999 Article en page(s) : 10 p. ; pp 17 - 26 Note générale : Bibliographie 1 page Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] classification par réseau neuronal [Termes IGN] extraction automatique [Termes IGN] glacier [Termes IGN] Himalaya [Termes IGN] image panchromatique [Termes IGN] image SPOT [Termes IGN] montagne [Termes IGN] réflectance Résumé : (Documentaliste) Artificial Neural Network (ANN) technology has been investigated to assess its performance for complex pattern recognition problems and spatial data integration. The Nanga Parbat massif and glaciers in the Himalayas has been chosen because its very complex geomorphology makes information extraction very difficult. High resolution SPOT panchromatic data were used without radiometric calibration. Though training time of the ANN structure is related to degree of complexity in the sampled spatial reflectance patterns, minimal training was sufficient to map the characteristics of three glaciers accurately. The results show that ANN technology is appropriate to recognize spatial reflectance patterns. This technology is superior to the ISODATA clustering algorithm and has a potential for extracting information in mountainous terrain. Numéro de notice : A1999-133 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049908542100 En ligne : https://doi.org/10.1080/10106049908542100 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26332 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-99021	RAB	Revue	Centre de documentation	En réserve L003	Disponible