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Sensitivity of spectral reflectance values to different burn and vegetation ratios: A multi-scale approach applied in a fire affected area / Magdalini Pleniou in ISPRS Journal of photogrammetry and remote sensing, vol 79 (May 2013)
[article]
Titre : Sensitivity of spectral reflectance values to different burn and vegetation ratios: A multi-scale approach applied in a fire affected area Type de document : Article/Communication Auteurs : Magdalini Pleniou, Auteur ; Nikos Koustias, Auteur Année de publication : 2013 Article en page(s) : pp 199 - 210 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] affinage d'image
[Termes IGN] analyse comparative
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] Grèce
[Termes IGN] image Ikonos
[Termes IGN] image Landsat-SWIR
[Termes IGN] image Terra-ASTER
[Termes IGN] incendie de forêt
[Termes IGN] rayonnement proche infrarouge
[Termes IGN] régression multiple
[Termes IGN] sol nuRésumé : (Auteur) The aim of our study was to explore the spectral properties of fire-scorched (burned) and non fire-scorched (vegetation) areas, as well as areas with different burn/vegetation ratios, using a multisource multiresolution satellite data set. A case study was undertaken following a very destructive wildfire that occurred in Parnitha, Greece, July 2007, for which we acquired satellite images from LANDSAT, ASTER, and IKONOS. Additionally, we created spatially degraded satellite data over a range of coarser resolutions using resampling techniques. The panchromatic (1 m) and multispectral component (4 m) of IKONOS were merged using the Gram-Schmidt spectral sharpening method. This very high-resolution imagery served as the basis to estimate the cover percentage of burned areas, bare land and vegetation at pixel level, by applying the maximum likelihood classification algorithm. Finally, multiple linear regression models were fit to estimate each land-cover fraction as a function of surface reflectance values of the original and the spatially degraded satellite images. The main findings of our research were: (a) the Near Infrared (NIR) and Short-wave Infrared (SWIR) are the most important channels to estimate the percentage of burned area, whereas the NIR and red channels are the most important to estimate the percentage of vegetation in fire-affected areas; (b) when the bi-spectral space consists only of NIR and SWIR, then the NIR ground reflectance value plays a more significant role in estimating the percent of burned areas, and the SWIR appears to be more important in estimating the percent of vegetation; and (c) semi-burned areas comprising 45–55% burned area and 45–55% vegetation are spectrally closer to burned areas in the NIR channel, whereas those areas are spectrally closer to vegetation in the SWIR channel. These findings, at least partially, are attributed to the fact that: (i) completely burned pixels present low variance in the NIR and high variance in the SWIR, whereas the opposite is observed in completely vegetated areas where higher variance is observed in the NIR and lower variance in the SWIR, and (ii) bare land modifies the spectral signal of burned areas more than the spectral signal of vegetated areas in the NIR, while the opposite is observed in SWIR region of the spectrum where the bare land modifies the spectral signal of vegetation more than the burned areas because the bare land and the vegetation are spectrally more similar in the NIR, and the bare land and burned areas are spectrally more similar in the SWIR. Numéro de notice : A2013-237 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.02.016 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.02.016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32375
in ISPRS Journal of photogrammetry and remote sensing > vol 79 (May 2013) . - pp 199 - 210[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 081-2013051 RAB Revue Centre de documentation En réserve L003 Disponible Integration of remote sensing and GIS for evaluating soil erosion risk in northwestern Zhejiang, China / Jianqin Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 9 (September 2012)
[article]
Titre : Integration of remote sensing and GIS for evaluating soil erosion risk in northwestern Zhejiang, China Type de document : Article/Communication Auteurs : Jianqin Huang, Auteur ; Dong Lu, Auteur ; Jin Li, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 935 - 946 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte pédologique
[Termes IGN] Chine
[Termes IGN] écosystème forestier
[Termes IGN] érosion
[Termes IGN] estimation statistique
[Termes IGN] forêt tropicale
[Termes IGN] gradient de pente
[Termes IGN] image Landsat-TM
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle RUSLE
[Termes IGN] régression multiple
[Termes IGN] risque naturel
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Estimation of soil loss using the Revised Universal Soil Loss Equation (rusle) has long been an active research topic, but its application in a large area is a challenge due to data availability and quality. In this study, the RUSLE model was used to evaluate soil erosion risk based on soil samples, a soil type map, digital elevation model (dem) data, and Landsat Thematic Mapper (tm) images. Multiple regression analysis was used to identify major factors influencing soil erosion risks. A regression model based on DEM-derived slope gradient and TM-derived fractional soil and vegetation images was developed to map soil erosion risk distribution in a forest ecosystem in Zhejiang, China. The developed method has the potential to quickly examine spatial distri-bution of soil erosion risks. This study provides a new insight for evaluating soil erosion risks in forest ecosystems with the integration of remote sensing and GIS. Numéro de notice : A2012-441 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE/IMAGERIE Nature : Article DOI : 10.14358/PERS.78.9.935 En ligne : https://doi.org/10.14358/PERS.78.9.935 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31887
in Photogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 9 (September 2012) . - pp 935 - 946[article]Does natural regeneration determine the limit of European beech distribution under climatic stress? / Daniel E. Silva in Forest ecology and management, vol 266 (15 February 2012)
[article]
Titre : Does natural regeneration determine the limit of European beech distribution under climatic stress? Type de document : Article/Communication Auteurs : Daniel E. Silva, Auteur Année de publication : 2012 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] aire de répartition
[Termes IGN] changement climatique
[Termes IGN] climat tempéré
[Termes IGN] Fagus sylvatica
[Termes IGN] inventaire forestier national (données France)
[Termes IGN] marge
[Termes IGN] régénération (sylviculture)
[Termes IGN] régression multiple
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (auteur) Climate is considered to be the main factor that determines forest species distribution. In Europe, climatic series show a global warming trend and an increase in frequency of summer droughts, which should affect growth and regeneration of tree populations. Beech (Fagus sylvatica L.) is particularly sensitive to drought and high temperatures. Then, this species reaches the rear edge of its lowland European distribution in the south-west of France. In this area, statistical modelling of future distributions based on climate scenarios show a significant potential reduction for F. sylvatica’s range. At the moment, failure of beech establishment is still unknown at the regional scale in the rear edge of its distribution range. The aim of this study was thus to determine if a reduction in natural regeneration of beechwoods could be related to the decrease in the species presence at its range margin. We identified ecological factors related to beech recruitment by estimating seedling density on the forest floor respectively in 71 and 85 beech plots in the south-west lowlands of France. We also determined if a relation between seedling amount and mast-seeding existed. We showed the importance of local factors in the natural regeneration stages by performing a multivariate reduction of the data and a multiple regression on densities. The inherent capacity of the stand to produce fruits explained a greater part of cupule density variance than did the climatic factor. However, we observed that meso-, micro- and pedo-climates were the main factors controlling seedling amount. Higher soil moisture, precipitation and temperature during the growing season increased seedling density, while late spring and early autumn frosts decreased it. Soil and stand conditions also played a significant role. Fruit production increased in stands that showed tree crown degradation, while seedling amount decreased in this case. The increase in allocation to reproduction could be a strategy of beech to cope with ecological constraints that tend to limit its establishment. Thus, seedling establishment is related to the factors controlling F. sylvatica presence at its southern distribution margins. This illustrates how natural regeneration is a key stage for beech success where the future of the species is jeopardized in the context of climate change. Numéro de notice : A2012-725 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1016/j.foreco.2011.11.031 Date de publication en ligne : 16/12/2011 En ligne : http://doi.org/10.1016/j.foreco.2011.11.031 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=87072
in Forest ecology and management > vol 266 (15 February 2012)[article]Estimation of forest stand volume, tree density and biodiversity using Landsat ETM + Data, comparison of linear and regression tree analyses / Jahangir Mohammadi in Procedia Environmental Sciences, vol 7 (2011)
[article]
Titre : Estimation of forest stand volume, tree density and biodiversity using Landsat ETM + Data, comparison of linear and regression tree analyses Type de document : Article/Communication Auteurs : Jahangir Mohammadi, Auteur ; Shaban Shataee, Auteur ; Manoocher Babanezhad, Auteur Année de publication : 2011 Article en page(s) : pp 299 - 304 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse comparative
[Termes IGN] estimation statistique
[Termes IGN] image Landsat-ETM+
[Termes IGN] Iran
[Termes IGN] régression linéaire
[Termes IGN] régression multipleRésumé : (auteur) Estimation of forest attributes using remotely sensed data has being as a new potential for continuous management of natural resources. Simple statistical models such as linear regressions are most used approach that has been used by researchers. Applying other regression types in forest attribute estimations and their spatial modeling using decision tree analysis such as regression tree may be more usefulness compare to linear regression. In a case study in the Hyrcanian forests, northern of Iran, the capability of linear and regression tree analyses were compared to estimation of stand volume, tree density and tree diversity. Stepwise multiple regression and regression tree analyses were conducted to evaluate relationships between forest characteristics as dependent and ETM + bands and vegetation indices as independent variables. Performance assessment of models was examined using RMSE and Bias on the unused validation plots. The results of analysis showed that statistical models of stand volume, tree density, species richness and reciprocal of Simpson indices using tree regression analysis had higher adjusted R2 and CE compare to linear regression models. In addition, the performance results showed that RMSE of models using tree regression were 88.7 m3/ha, 157n/ha, 1.15 and 0.61 respectively for stand volume, tree density, species richness and Simpson index, Whereas, the RMSE of obtained models using linear regression were computed about 97m3/ha, 170n/ha, 1.51 and 1.15, respectively. Numéro de notice : A2011-630 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE/MATHEMATIQUE Nature : Article DOI : 10.1016/j.proenv.2011.07.052 En ligne : https://doi.org/10.1016/j.proenv.2011.07.052 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102450
in Procedia Environmental Sciences > vol 7 (2011) . - pp 299 - 304[article]Données géographiques / Pierre Dumolard (2011)
Titre : Données géographiques : analyse statistique multivariée Type de document : Guide/Manuel Auteurs : Pierre Dumolard, Auteur Editeur : Paris : Lavoisier Année de publication : 2011 Importance : 208 p. Format : 15 x 23 cm ISBN/ISSN/EAN : 978-2-7462-3116-0 Note générale : Bibliographie Langues : Français (fre) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse des correspondances
[Termes IGN] analyse discriminante
[Termes IGN] analyse en composantes principales
[Termes IGN] classification
[Termes IGN] données localisées
[Termes IGN] régression multiple
[Termes IGN] segmentationIndex. décimale : 37.20 Analyse spatiale et ses outils Résumé : (Editeur) Cet ouvrage facilite la compréhension et l'usage des principales méthodes d'analyse statistique multivariée dans le cadre de l'information spatialisée. L'approche spatiale étant par essence combinatoire, donc complexe, elle nécessite des outils dédiés à l'analyse multidimensionnelle et à la représentation synthétique de ses résultats. Parmi toutes les techniques possibles d'analyse multidimensionnelle, le choix a été fait de présenter les méthodes purement statistiques et celles dont les résultats sont suffisamment stables et bien maîtrisés. À l'aide d'exemples et d'exercices corrigés, ce livre introduit les notions mises en œuvre par l'intermédiaire des logiciels courants. Il expose les différentes analyses factorielles et les méthodes de classification et de régression multiple. Note de contenu : Introduction
1 - Analyses factorielles : généralités
2 - L'analyse en composantes principales (ACP)
3 - L'analyse des correspondances (AFC)
4 - Analyse des correspondances multiples
5 - Méthodes de classification
6 - Régression multiple
7 - Méthodes explicatives : compléments
Annexe 1 - Logiciels utilisés
Annexe 2 - Exemples et exercices traitésNuméro de notice : 20540 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Manuel de cours Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=63069 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 20540-01 37.20 Livre Centre de documentation Géomatique Disponible Modelling house unit density from land cover metrics: a Midwestern US example / P. Hardin in Geocarto international, vol 23 n° 5 (October - November 2008)PermalinkOn weighted total least-squares adjustment for linear regression / Burkhard Schaffrin in Journal of geodesy, vol 82 n° 7 (July 2008)PermalinkAssessment of the processed SRTM-based elevation data by CGIAR using field from USA and Thailand and its relation to the terrain characteristics / Y. Gorokhovich in Remote sensing of environment, vol 104 n° 4 (30/10/2006)PermalinkApplication de l'approche par les équations de la régression multiple pour le passage d'un datum à l'autre (cas de l'Algérie) / A. Zeggai in XYZ, n° 106 (mars - mai 2006)PermalinkRemote sensing of water quality for Burullus lake, Egypt / Kh. M. Dewidar in Geocarto international, vol 20 n° 3 (September - November 2005)PermalinkIntegrating imaging spectroscopy and neural networks to map grass quality in the Kruger National Park, South Africa / Onisimo Mutanga in Remote sensing of environment, vol 90 n° 1 (15/03/2004)PermalinkApproaches to fractional land cover and continuous field mapping: a comparative assessment over the BOREAS [BOReal Ecosystem Atmosphere Study] study region / R. Fernandes in Remote sensing of environment, vol 89 n° 2 (30/01/2004)PermalinkInitiation à l'analyse des données / Jean de Lagarde (2000)PermalinkInitiation aux pratiques statistiques en géographie, 4e édition entièrement refondue / Groupe Chadule (1997)PermalinkMéthodes statistiques de l'ingénieur, 2. Volume 2, Méthodes d'analyse de régression linéaire, modèle orthogonal, expérience factorielle et polynômes orthogonaux, méthodes de sélection des variables / G. Baillargeon (1996)Permalink