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Snow cover monitoring in Alpine regions using ENVISAT optical data / M. Pepe in International Journal of Remote Sensing IJRS, vol 26 n° 21 (November 2005)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 26 n° 21 (November 2005) . - pp 4661 - 4667 Titre : Snow cover monitoring in Alpine regions using ENVISAT optical data Type de document : Article/Communication Auteurs : M. Pepe, Auteur ; P.A. Brivio, Auteur ; A. Rampini, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 4661 - 4667 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Alpes [Termes IGN] Aoste (val d') [Termes IGN] carte thématique [Termes IGN] classification floue [Termes IGN] détection des nuages [Termes IGN] image Envisat-AATSR [Termes IGN] image Envisat-MERIS [Termes IGN] image optique [Termes IGN] Lombardie [Termes IGN] manteau neigeux [Termes IGN] nébulosité [Termes IGN] Piémont (Italie) [Termes IGN] surveillance météorologique Résumé : (Auteur) The ENVISAT mission with a suite of high performance sensors offers some opportunities for mapping snow cover at regional and catchment scales. The spatial resolution of the Medium Resolution Imaging Spectrometer Instrument (MERIS) data and the spectral characteristics of the Advanced Along Track Scanning Radiometer (AATSR) data are suitable for these purposes. A new approach has been developed for the generation of snow cover products in Alpine regions, based on the combined use of ENVISAT optical data and topographic information. The Alpine region is selected as a test area to demonstrate the potential and the limitations of the novel approach. In particular, attention is focused on three regions of northern Italy (Valle d'Aosta, Piemonte, Lombardia). The first results obtained by the application of this new method to Earth Observation data will be presented and analysed. Numéro de notice : A2005-467 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500206635 En ligne : https://doi.org/10.1080/01431160500206635 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27603 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-05211	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Integrating high resolution remote sensing, GIS and fuzzy set theory for identifying susceptibility areas of forest insect infestations / C. Bone in International Journal of Remote Sensing IJRS, vol 26 n° 21 (November 2005)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 26 n° 21 (November 2005) . - pp 4809 - 4828 Titre : Integrating high resolution remote sensing, GIS and fuzzy set theory for identifying susceptibility areas of forest insect infestations Type de document : Article/Communication Auteurs : C. Bone, Auteur ; Suzana Dragićević, Auteur ; A. Roberts, Auteur Année de publication : 2005 Article en page(s) : pp 4809 - 4828 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] carte de la végétation [Termes IGN] classification floue [Termes IGN] Colombie-Britannique (Canada) [Termes IGN] forêt [Termes IGN] incertitude des données [Termes IGN] Insecta [Termes IGN] modèle cartographique [Termes IGN] Pinus ponderosa [Termes IGN] sous ensemble flou [Termes IGN] système expert Résumé : (Auteur) The use of fuzzy set theory has become common in remote sensing and geographical information system (GIS) applications to deal with issues surrounding the uncertainty of geospatial datasets. The objective of this study is to develop a model that integrates the concept of fuzzy set theory with remote sensing and GIS in order to produce susceptibility maps of insect infestations in forest landscapes. Fuzzy set theory was applied to information extracted from multiple-year high resolution remote sensing data and integrated in a rasterbased GIS to create a map indicating the spatial variation of insect susceptibility in a landscape. Variable-specific fuzzy membership functions were developed based on expert knowledge and existing data, and integrated through a semantic import model. The results from a case study on mountain pine beetle (Dendroctonus ponderosae Hopkins) illustrate that the model provides a method to successfully estimate areas of varying susceptibility to insect infestation from high resolution remote sensing images. It was concluded that fuzzy sets are an adequate method for dealing with uncertainty in defining susceptibility variables. The susceptibility maps can be utilized for guiding management decisions based on the spatial aspects of insect-host relationships. Numéro de notice : A2005-468 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500239180 En ligne : https://doi.org/10.1080/01431160500239180 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27604 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-05211	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Relating SAR image texture to the biomass of regenerating tropical forests / T.M. Kuplich in International Journal of Remote Sensing IJRS, vol 26 n° 21 (November 2005)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 26 n° 21 (November 2005) . - pp 4829 - 4854 Titre : Relating SAR image texture to the biomass of regenerating tropical forests Type de document : Article/Communication Auteurs : T.M. Kuplich, Auteur ; P.J. Curran, Auteur ; P.M. Atkinson, Auteur Année de publication : 2005 Article en page(s) : pp 4829 - 4854 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] bande L [Termes IGN] canopée [Termes IGN] forêt tropicale [Termes IGN] image JERS [Termes IGN] image radar [Termes IGN] Manaus [Termes IGN] masse végétale [Termes IGN] niveau de gris (image) [Termes IGN] teneur en carbone [Termes IGN] texture d'image [Termes IGN] variogramme Résumé : (Auteur) An accurate global carbon budget requires information on terrestrial carbon sink strength. Regenerating tropical forests are known to be important terrestrial carbon sinks but information on their location, extent and biomass (from which carbon content can be estimated) is incomplete. The use of remotely sensed data in optical wavelengths has been of limited use due to both the weak relationship between optical radiation and forest biomass and near-constant cloud cover in the tropics. L-band Synthetic Aperture Radar (SAR) backscatter, however, is related positively to biomass (but only up to an asymptote of around 40-90T ha-1) and can be obtained independently of cloud cover. Both canopy structure and biomass change over time as pioneer species are replaced by early and late regenerating species. These structural changes are related to an increase in (i) tree height, (ii) tree species richness and (iii) canopy thickness and influence the roughness of the canopy surface and consequently SAR image texture. Therefore, we investigated the degree to which textural information could be used to increase the correlation between image tone (backscatter) and biomass. Field data were used to estimate the biomass of 37 regenerating forests plots in Brazilian Amazonia. Texture measures derived from local statistics, the grey level co-occurrence matrix (GLCM) and the variogram were evaluated using simulated images on the basis of their ability to identify significant differences in image texture independently of image contrast. The selected texture measures were applied to L-band JERS-1 (Japanese Earth Resources Satellite) SAR images and the correlation between backscatter and biomass was determined for regenerating tropical forests. A strong correlation was found for the texture measures and biomass. The ra2 (adjusted coefficient of determination), measuring the correlation between backscatter and biomass, increased from 0.74 to 0.82 with the addition of GLCM-derived contrast. The addition of image texture (GLCM-derived contrast) to image tone (backscatter) potentially increases the accuracy with which JERS-1 SAR data can be used to estimate biomass in tropical forests. Numéro de notice : A2005-469 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500239107 En ligne : https://doi.org/10.1080/01431160500239107 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27605 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-05211	RAB	Revue	Centre de documentation	En réserve L003	Disponible