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A probabilistic eco-hydrological model to predict the effects of climate change on natural vegetation at a regional scale / Jan-Philip M. Witte in Landscape ecology, vol 30 n° 5 (May 2015)
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Titre : A probabilistic eco-hydrological model to predict the effects of climate change on natural vegetation at a regional scale Type de document : Article/Communication Auteurs : Jan-Philip M. Witte, Auteur ; Ruud P. Bartholomeus, Auteur ; Peter M. van Bodegom, Auteur ; D. Gijsbert Cirkel, Auteur ; Remco van Ek, Auteur ; Yuki Fujita, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 835 - 854 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] changement climatique
[Termes IGN] facteur édaphique
[Termes IGN] habitat (nature)
[Termes IGN] hydrologie
[Termes IGN] impact sur l'environnement
[Termes IGN] modèle de simulation
[Termes IGN] modèle stochastique
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Climate change may hamper the preservation of nature targets, but may create new potential hotspots of biodiversity as well. To timely design adequate measures, information is needed about the feasibility of nature targets under a future climate. Habitat distribution models may provide this, but current models have certain drawbacks: they apply indirect empirical relationships between habitat and vegetation, they often disregard spatially explicit information about groundwater, and they are designed for too coarse spatial scales. We introduce a model that explicitly takes into account spatial effects through groundwater and that can easily be adapted to new scientific approaches and the needs of end-users. It combines (spatially explicit) data sources, transfer functions derived from mechanistic models, and robust relationships between habitat factors and plant characteristics. Outputs are maps showing the occurrence probabilities of vegetation types and their associated conservation values, both on a spatial scale that fits the needs of nature managers and spatial planners. The model was applied to a catchment of 270 km2 to forecast, on a 25 m resolution, the effects of a national climate scenario (related to IPCC A2 and A1B). Computation time was a couple of minutes on a standard PC. Severe loss was predicted for wet and mesotrophic species-rich grasslands, while vegetation of dry and acidic soils appeared to profit. The results were not univocal though, and could probably not have been foreseen on the basis of expert judgement and logic alone, especially because of edaphic factors and spatial hydrological relationships. Numéro de notice : A2015--033 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s10980-014-0086-z Date de publication en ligne : 29/08/2014 En ligne : http://dx.doi.org/10.1007/s10980-014-0086-z Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81112
in Landscape ecology > vol 30 n° 5 (May 2015) . - pp 835 - 854[article]Response of Swiss forests to management and climate change in the last 60 years / Meinrad Küchler in Annals of Forest Science, vol 72 n° 3 (May 2015)
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Titre : Response of Swiss forests to management and climate change in the last 60 years Type de document : Article/Communication Auteurs : Meinrad Küchler, Auteur ; Helen Küchler, Auteur ; Angéline Bedolla, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 311 - 320 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation
[Termes IGN] analyse diachronique
[Termes IGN] arbuste
[Termes IGN] changement climatique
[Termes IGN] espèce végétale
[Termes IGN] forêt
[Termes IGN] herbe
[Termes IGN] inventaire forestier étranger (données)
[Termes IGN] plantation forestière
[Termes IGN] recensement
[Termes IGN] Suisse
[Termes IGN] sylviculture
[Termes IGN] températureRésumé : (auteur) Context : Forest vegetation is forecasted to shift upslope several hundred metres by 2100 due to climate warming. However, only a small number of detailed assessments in selected regions have confirmed a climate response on the part of forest vegetation.
Aims : This study aimed to analyse the relative contributions of temperature and other factors to range shifts in forest vegetation by comparing old and revisited relevés in Swiss forests.
Methods : In order to investigate such range shifts, we revisited 451 relevé plots in forests in all parts of Switzerland. Collected data comprise two independent samples, one dating from the 1950s (age 60 sample) on 126 plots and the other dating from the 1990s (age 15 sample) on 325 plots. We defined an indicator value for elevation to estimate the upslope and downslope range shifts of forest species. The influence of different site factors on range shifts was assessed by variance partitioning using Landolt’s (2010) averaged species indicator values. Vegetation changes were analysed by balancing both increasing and decreasing frequencies of plant species.
Results : Our findings show significant differences between the two survey periods, where the averaged species indicator for elevation varied greatly in both the age-60 and the age-15 samples. In addition, a significant upslope shift in the herbaceous forest layer (herbs and tree regeneration) of about 10 m per decade since the mid-twentieth century is evident. Downslope shifts were detected in the shrub/tree layer at lower elevations, which may be explained by factors other than climate warming.
Conclusions : To date, the impact of global warming on tree species composition in Swiss forests has been weaker in comparison to the effects arising from forest management and land use change. Understorey vegetation, however, shows a strong signal of upslope shift that may be explained most adequately by a combination of climate change and other factors.Numéro de notice : 2015-453 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1007/s13595-014-0409-x Date de publication en ligne : 29/07/2014 En ligne : https://doi.org/10.1007/s13595-014-0409-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77109
in Annals of Forest Science > vol 72 n° 3 (May 2015) . - pp 311 - 320[article]SIEL : système intégré pour la modélisation et l’évaluation du risque de désertification / Maud Loireau in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 20 n° 3 (mai - juin 2015)
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Titre : SIEL : système intégré pour la modélisation et l’évaluation du risque de désertification Type de document : Article/Communication Auteurs : Maud Loireau, Auteur ; Mongi Sghaier, Auteur ; Bertrand Guerrero, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 117 - 142 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] agriculture (secteur primaire)
[Termes IGN] désertification
[Termes IGN] environnement de développement
[Termes IGN] interface utilisateur
[Termes IGN] modélisation spatiale
[Termes IGN] paysage rural
[Termes IGN] plateforme logicielle
[Termes IGN] risque naturel
[Termes IGN] traitement de données localiséesRésumé : (Auteur) La lutte contre la désertification est une priorité, notamment dans les pays du Sud où vivent 75% de l’humanité et où les trois quarts de la population travaillent dans le secteur agricole. À partir d’une réflexion menée sur la caractérisation et spatialisation des pratiques (agricoles) et des ressources naturelles en interaction sur un espace donné, l’article décrit une chaîne de traitements thématiques pour modéliser des unités de paysages ruraux et les causes et intensité du risque de désertification afférents, ainsi que la plateforme logicielle géomatique qui la met en œuvre. Via une interface utilisateur accompagnée d’une aide documentée, le logiciel SIEL permet le paramétrage et l’exécution de la chaîne de traitements. Les résultats obtenus sur des exemples illustratifs dans plusieurs observatoires circum-sahariens sont présentés. Ils ouvrent la voie aux discussions sur les perspectives et potentialités du SIEL dans les observatoires en appui à l’aide à la décision pour la lutte contre la désertification. Numéro de notice : A2015-324 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.3166/isi.20.3.117-142 En ligne : https://doi.org/10.3166/isi.20.3.117-142 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76610
in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI > vol 20 n° 3 (mai - juin 2015) . - pp 117 - 142[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 093-2015031 SL Revue Centre de documentation Revues en salle Disponible Spatial analysis of high-resolution urban thermal patterns in Vojvodina, Serbia / Dusan Jovanovic in Geocarto international, vol 30 n° 5 - 6 (May - July 2015)
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Titre : Spatial analysis of high-resolution urban thermal patterns in Vojvodina, Serbia Type de document : Article/Communication Auteurs : Dusan Jovanovic, Auteur ; Miro Govedarica, Auteur ; Filip Sabo, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 483 - 505 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] couvert végétal
[Termes IGN] DMC
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Landsat-TM
[Termes IGN] image Worldview
[Termes IGN] occupation du sol
[Termes IGN] régression linéaire
[Termes IGN] Serbie
[Termes IGN] surface imperméable
[Termes IGN] température au solRésumé : (auteur) Main objective of this study was to establish a relationship between land cover and land surface temperature (LST) in urban and rural areas. The research was conducted using Landsat, WorldView-2 (WV-2) and Digital Mapping Camera. Normalised difference vegetation index and normalised difference built-up index were used for establishing the relation between built-up area, vegetation cover and LST for spatial resolution of 30 m. Impervious surface and vegetation area generated from Digital Mapping Camera from Intergraph and WV-2 were used to establish the relation between built-up area, vegetation cover and LST for spatial resolutions of 0.1, 0.5 and 30 m. Linear regression models were used to determine the relationship between LST and indicators. Main contribution of this research is to establish the use of combining remote sensing sensors with different spectral and spatial resolution for two typical settlements in Vojvodina. Correlation coefficients between LST and LST indicators ranged from 0.602 to 0.768. Numéro de notice : A2015-293 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2014.985747#abstract Date de publication en ligne : 11/12/2014 En ligne : http://www.tandfonline.com/doi/full/10.1080/10106049.2014.985747#abstract Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76441
in Geocarto international > vol 30 n° 5 - 6 (May - July 2015) . - pp 483 - 505[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2015031 RAB Revue Centre de documentation En réserve L003 Disponible Spectral–spatial classification for hyperspectral data using rotation forests with local feature extraction and markov random fields / Junshi Xia in IEEE Transactions on geoscience and remote sensing, vol 53 n° 5 (mai 2015)
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Titre : Spectral–spatial classification for hyperspectral data using rotation forests with local feature extraction and markov random fields Type de document : Article/Communication Auteurs : Junshi Xia, Auteur ; Jocelyn Chanussot, Auteur ; Peijun Du, Auteur ; et al., Auteur Année de publication : 2015 Article en page(s) : pp 2532 - 2546 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] analyse en composantes principales
[Termes IGN] champ aléatoire de Markov
[Termes IGN] classification et arbre de régression
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] image hyperspectrale
[Termes IGN] performance
[Termes IGN] Rotation Forest classificationRésumé : (Auteur) In this paper, we propose a new spectral-spatial classification strategy to enhance the classification performances obtained on hyperspectral images by integrating rotation forests and Markov random fields (MRFs). First, rotation forests are performed to obtain the class probabilities based on spectral information. Rotation forests create diverse base learners using feature extraction and subset features. The feature set is randomly divided into several disjoint subsets; then, feature extraction is performed separately on each subset, and a new set of linear extracted features is obtained. The base learner is trained with this set. An ensemble of classifiers is constructed by repeating these steps several times. The weak classifier of hyperspectral data, classification and regression tree (CART), is selected as the base classifier because it is unstable, fast, and sensitive to rotations of the axes. In this case, small changes in the training data of CART lead to a large change in the results, generating high diversity within the ensemble. Four feature extraction methods, including principal component analysis (PCA), neighborhood preserving embedding (NPE), linear local tangent space alignment (LLTSA), and linearity preserving projection (LPP), are used in rotation forests. Second, spatial contextual information, which is modeled by MRF prior, is used to refine the classification results obtained from the rotation forests by solving a maximum a posteriori problem using the α-expansion graph cuts optimization method. Experimental results, conducted on three hyperspectral data with different resolutions and different contexts, reveal that rotation forest ensembles are competitive with other strong supervised classification methods, such as support vector machines. Rotation forests with local feature extraction methods, including NPE, LLTSA, and LPP, can lead to higher classification accuracies than that achieved by PCA. With the help of MRF, the proposed algorithms can improve the classification accuracies significantly, confirming the importance of spatial contextual information in hyperspectral spectral-spatial classification. Numéro de notice : A2015-519 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2014.2361618 En ligne : https://doi.org/10.1109/TGRS.2014.2361618 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77526
in IEEE Transactions on geoscience and remote sensing > vol 53 n° 5 (mai 2015) . - pp 2532 - 2546[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-2015051 RAB Revue Centre de documentation En réserve L003 Disponible Un système décisionnel pour l’analyse de la qualité des eaux de rivières / Sandro Bimonte in Ingénierie des systèmes d'information, ISI : Revue des sciences et technologies de l'information, RSTI, vol 20 n° 3 (mai - juin 2015)PermalinkThe soil moisture active passive validation experiment 2012 (SMAPVEX12): Prelaunch calibration and validation of the SMAP Soil moisture algorithms / Heather McNairn in IEEE Transactions on geoscience and remote sensing, vol 53 n° 5 (mai 2015)PermalinkTowards better WMS maps through the use of the styled layer descriptor and cartographic conflict resolution for linear features / Ionuţ Iosifescu Enescu in Cartographic journal (the), Vol 52 n° 2 (May 2015)PermalinkUse of Landsat and Corona data for mapping forest cover change from the mid-1960s to 2000s: Case studies from the Eastern United States and Central Brazil / Dan-Xia Song in ISPRS Journal of photogrammetry and remote sensing, vol 103 (May 2015)PermalinkA Galileo IOV assessment: measurement and position domain / Ciro Gioia in GPS solutions, vol 19 n° 2 (April 2015)PermalinkActive learning with gaussian process classifier for hyperspectral image classification / Shujing Sun in IEEE Transactions on geoscience and remote sensing, vol 53 n° 4 (April 2015)PermalinkApport du LiDAR dans le géoréférencement d'images hyperspectrales en vue d'un couplage LiDAR/hyperspectral / Antoine Ba in Revue Française de Photogrammétrie et de Télédétection, n° 210 (Avril 2015)PermalinkCartographie des végétations herbacées des marais littoraux à partir de données topographiques LiDAR / Sébastien Rapinel in Revue Française de Photogrammétrie et de Télédétection, n° 210 (Avril 2015)PermalinkCenter-of-mass corrections for sub-cm-precision laser-ranging targets: Starlette, Stella and LARES / Toshimichi Otsubo in Journal of geodesy, vol 89 n° 4 (April 2015)PermalinkEvaluating leaf chlorophyll content prediction from multispectral remote sensing data within a physically-based modelling framework / H. Croft in ISPRS Journal of photogrammetry and remote sensing, vol 102 (April 2015)PermalinkExtraction des éléments de façade de bâtiments du patrimoine architectural à partir de données issues de scanner laser terrestre / Kenza Aitelkadi in Revue Française de Photogrammétrie et de Télédétection, n° 210 (Avril 2015)PermalinkA greedy-based multiquadric method for LiDAR-derived ground data reduction / Chuanfa Chen in ISPRS Journal of photogrammetry and remote sensing, vol 102 (April 2015)PermalinkLidar with multi-temporal MODIS provide a means to upscale predictions of forest biomass / Le Li in ISPRS Journal of photogrammetry and remote sensing, vol 102 (April 2015)PermalinkMapping aboveground biomass in northern japanese forests using the ALOS PRISM digital surface model / Takeshi Motohka in IEEE Transactions on geoscience and remote sensing, vol 53 n° 4 (April 2015)PermalinkNL-SAR : a unified nonlocal framework for resolution-preserving (Pol) (In) SAR denoising / Charles-Alban Deledalle in IEEE Transactions on geoscience and remote sensing, vol 53 n° 4 (April 2015)PermalinkObject-based assessment of burn severity in diseased forests using high-spatial and high-spectral resolution MASTER airborne imagery / Gang Chen in ISPRS Journal of photogrammetry and remote sensing, vol 102 (April 2015)PermalinkOblique aerial image acquisition, 3D city modeling, 3D city guide project for Konya metropolitan municipality / Tuncer Ozerbil in International journal of 3-D information modeling, vol 4 n° 2 (April - June 2015)PermalinkOn reverse-k-nearest-neighbor joins / Tobias Emrich in Geoinformatica, vol 19 n° 2 (April - June 2015)PermalinkPanorama sur les méthodes de classification des images satellites et techniques d'amélioration de la précision de la classification / O. El Kharki in Revue Française de Photogrammétrie et de Télédétection, n° 210 (Avril 2015)PermalinkA physics-based unmixing method to estimate subpixel temperatures on mixed pixels / Manuel Cubero-Castan in IEEE Transactions on geoscience and remote sensing, vol 53 n° 4 (April 2015)Permalink