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scientifique

Site and age-dependent responses of Picea abies growth to climate variability / Petr Čermák in European Journal of Forest Research, vol 138 n° 3 (June 2019)  

Public [article]  inEuropean Journal of Forest Research > vol 138 n° 3 (June 2019) . - pp 445 - 460 Titre : Site and age-dependent responses of Picea abies growth to climate variability Type de document : Article/Communication Auteurs : Petr Čermák, Auteur ; Michal Rybníček, Auteur ; Tomas Zid, Auteur ; Non-répertorié, Auteur ; Non-répertorié, Auteur Année de publication : 2019 Article en page(s) : pp 445 - 460 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Végétation [Termes descripteurs IGN] croissance végétale [Termes descripteurs IGN] dendrochronologie [Termes descripteurs IGN] forêt boréale [Termes descripteurs IGN] Norvège [Termes descripteurs IGN] Picea abies [Termes descripteurs IGN] précipitation [Termes descripteurs IGN] température au sol Résumé : (Auteur) Knowledge about spatiotemporal variability of climate change effect on tree-ring width (TRW) and crown condition is essential to optimize the modelling of future forest ecosystem responses to the changing climate. Geographical differences in the climate–growth relationship are a reflection of the regional climatic conditions mainly. In this study, 175 Picea abies trees from the north-western edge of its geographical distribution in Central Norway were evaluated with respect to geographical and age-dependent differences during the common period of 1950–2015. The results showed that the most significant positive correlations between TRW and the current June temperature were unstable although the temperature increased. The correlations suddenly started to decrease (regardless of the site placement and tree age) at the beginning of the 1990s, but subsequently unexpectedly increased in the 2010s. The superposed epoch analysis revealed longer TRW regeneration of the southern plots (except over-mature trees) after negative pointer years compared to the northern plots. Previous summer temperature and related physiological processes (cone crops, storage of nutrients, etc.) significantly negatively affected P. abies growth in the current year. Additionally, our results showed that the selection of the chronology version (standard or residual) significantly affects the resulting correlations and thus must be carefully considered in dendroclimatological studies. Our main outputs can contribute to better understanding of the climate–growth relationship variability and general prediction of the radial growth. Numéro de notice : A2019-233 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s10342-019-01182-6 date de publication en ligne : 23/02/2019 En ligne : https://doi.org/10.1007/s10342-019-01182-6 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92747 [article]

Audiovisual cartography : Established and new multimedia approaches to represent soundscapes / Dennis Edler in KN, Journal of Cartography and Geographic Information, vol 69 n° 1 (May 2019)  

Public [article]  inKN, Journal of Cartography and Geographic Information > vol 69 n° 1 (May 2019) . - pp 5 - 17 Titre : Audiovisual cartography : Established and new multimedia approaches to represent soundscapes Type de document : Article/Communication Auteurs : Dennis Edler, Auteur ; Non-répertorié, Auteur ; Julian Keil, Auteur ; Frank Dickmann, Auteur Année de publication : 2019 Article en page(s) : pp 5 - 17 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie [Termes descripteurs IGN] audiovisuel [Termes descripteurs IGN] moteur de jeu [Termes descripteurs IGN] multimedia [Termes descripteurs IGN] paysage sonore [Termes descripteurs IGN] réalité virtuelle Résumé : (Auteur) Since the mid-1990s, sound has been discussed and used in multimedia cartography. There are four main variants of auditory map elements that have been established in the theory and practice of audiovisual cartography, i.e. abstract sounds/abstract sound sequences, speech, music and, especially, audiorealistic sequences representing so-called “soundscapes”. In cartography, soundscapes are often addressed in large-scale representations. The term originates in multidisciplinary landscape research. Empirical findings of landscape research, and especially those of social constructivist landscape research, have shown the relevance of non-visual stimuli for people’s individual impressions and meanings of the experienced landscape. Amongst the non-visual landscape dimensions, the auditory dimension is the most prominent one. As 3D cartography offers new methods and techniques of designing and experiencing highly realistic, incl. photo- and audiorealistic landscape representation, this discipline becomes more and more interesting for simulating and presenting multisensory landscapes and for presenting the results of empirical findings in landscape research. After an introduction to traditional means of audiovisual cartography and the relevance of auditory stimuli for social constructivist approaches of landscape research, a modern software-based method is presented which highlights the opportunity to imbed 3D sound data representing a location’s soundscape into audiovisual 3D environments in Virtual Reality (VR). It is technically based on the cross-platform game engine Unity3D. Numéro de notice : A2019-177 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s42489-019-00004-4 date de publication en ligne : 04/02/2019 En ligne : http://dx.doi.org/10.1007/s42489-019-00004-4 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92697 [article]

Estimating forest canopy cover in black locust (Robinia pseudoacacia L.) plantations on the loess plateau using random forest / Qingxia Zhao in Forests, vol 9 n° 10 (October 2018)  

Public [article]  inForests > vol 9 n° 10 (October 2018) Titre : Estimating forest canopy cover in black locust (Robinia pseudoacacia L.) plantations on the loess plateau using random forest Type de document : Article/Communication Auteurs : Qingxia Zhao, Auteur ; Non-répertorié, Auteur ; Jun Zhao, Auteur ; Jingjing Zhou, Auteur ; et al., Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] canopée [Termes descripteurs IGN] Chine [Termes descripteurs IGN] classification par forêts aléatoires [Termes descripteurs IGN] détection d'arbres [Termes descripteurs IGN] Enhanced vegetation index [Termes descripteurs IGN] image multibande [Termes descripteurs IGN] image panchromatique [Termes descripteurs IGN] loess [Termes descripteurs IGN] matrice de co-occurrence [Termes descripteurs IGN] plantation forestière [Termes descripteurs IGN] régression [Termes descripteurs IGN] Robinia pseudoacacia [Termes descripteurs IGN] Soil Adjusted Vegetation Index Résumé : (Auteur) The forest canopy is the medium for energy and mass exchange between forest ecosystems and the atmosphere. Remote sensing techniques are more efficient and appropriate for estimating forest canopy cover (CC) than traditional methods, especially at large scales. In this study, we evaluated the CC of black locust plantations on the Loess Plateau using random forest (RF) regression models. The models were established using the relationships between digital hemispherical photograph (DHP) field data and variables that were calculated from satellite images. Three types of variables were calculated from the satellite data: spectral variables calculated from a multispectral image, textural variables calculated from a panchromatic image (Tpan) with a 15 × 15 window size, and textural variables calculated from spectral variables (TB+VIs) with a 9 × 9 window size. We compared different mtry and ntree values to find the most suitable parameters for the RF models. The results indicated that the RF model of spectral variables explained 57% (root mean square error (RMSE) = 0.06) of the variability in the field CC data. The soil-adjusted vegetation index (SAVI) and enhanced vegetation index (EVI) were more important than other spectral variables. The RF model of Tpan obtained higher accuracy (R2 = 0.69, RMSE = 0.05) than the spectral variables, and the grey level co-occurrence matrix-based texture measure—Correlation (COR) was the most important variable for Tpan. The most accurate model was obtained from the TB+VIs (R2 = 0.79, RMSE = 0.05), which combined spectral and textural information, thus providing a significant improvement in estimating CC. This model provided an effective approach for detecting the CC of black locust plantations on the Loess Plateau. Numéro de notice : A2018-477 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/f9100623 date de publication en ligne : 10/10/2018 En ligne : https://doi.org/10.3390/f9100623 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91178 [article]

Improvement of countrywide vegetation mapping over Japan and comparison to existing maps / Ram C. Sharma in Advances in Remote Sensing, vol 7 n° 3 (September 2018)  

Public [article]  inAdvances in Remote Sensing > vol 7 n° 3 (September 2018) . - pp 163 - 170 Titre : Improvement of countrywide vegetation mapping over Japan and comparison to existing maps Type de document : Article/Communication Auteurs : Ram C. Sharma, Auteur ; Non-répertorié, Auteur ; Non-répertorié, Auteur Année de publication : 2018 Article en page(s) : pp 163 - 170 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] carte de la végétation [Termes descripteurs IGN] classification par forêts aléatoires [Termes descripteurs IGN] image Terra-MODIS [Termes descripteurs IGN] Japon [Termes descripteurs IGN] occupation du sol Résumé : (Auteur) This paper presents an improved classification and mapping of vegetation types for all of Japan by utilizing the Moderate-resolution Imaging Spectroradiometer (MODIS) data. The Nadir BRDF-Adjusted Reflectance (MCD43A4 product) data were compared to the conventional Surface Reflectance (MOD09A1/MOY09A1 products) data for the classification of vegetation types: evergreen coniferous forest, evergreen broadleaf forest, deciduous coniferous forest, deciduous broadleaf forest, shrubs, herbaceous, arable; and non-vegetation. Very rich spectral and temporal features were prepared from MCD43A4 and MOD09A1/MOY09A1 products. Random Forests classifier was employed for the classification of vegetation types with the support of ground truth data prepared in the research. Accuracy metrics—confusion matrix, overall accuracy, and kappa coefficient calculated through 10-fold cross-validation approach—were used for quantitative comparison of MCD43A4 and MOD09A1/MOY09A1 products. The cross-validation results indicated better performance of the MCD43A4 (Overall accuracy = 0.73; Kappa coefficient = 0.69) product than conventional MOD09A1/MOY09A1 products (Overall accuracy = 0.70; Kappa coefficient = 0.66) for the classification. McNemar’s test was also used to confirm a significant difference (p-value = 0.0003) between MCD43A4 and MOD09A1/MOY09A1 products. Based on these results, by utilizing the MCD43A4 features, a new vegetation map was produced for all of Japan. The newly produced map showed better accuracy than the extant, MODIS Land Cover Type product (MCD12Q1) and Global Land Cover by National Mapping Organizations (GLCNMO) product in Japan. Numéro de notice : A2018-618 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.4236/ars.2018.73011 date de publication en ligne : 05/09/2018 En ligne : https://doi.org/10.4236/ars.2018.73011 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92849 [article]

Share our cultural heritage (SOCH) : worldwide 3D heritage reconstruction and visualization via Web and mobile GIS / Non-répertorié in ISPRS International journal of geo-information, vol 7 n° 9 (September 2018)  

Public [article]  inISPRS International journal of geo-information > vol 7 n° 9 (September 2018) Titre : Share our cultural heritage (SOCH) : worldwide 3D heritage reconstruction and visualization via Web and mobile GIS Type de document : Article/Communication Auteurs : Non-répertorié, Auteur ; Wen Xiao, Auteur ; J.P. Mills, Auteur ; Non-répertorié, Auteur Année de publication : 2018 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes descripteurs IGN] cartographie collaborative [Termes descripteurs IGN] données localisées des bénévoles [Termes descripteurs IGN] modélisation 3D [Termes descripteurs IGN] patrimoine immobilier [Termes descripteurs IGN] production participative [Termes descripteurs IGN] web mapping Résumé : (Auteur) Despite being of paramount importance to humanity, tangible cultural heritage is often at risk from natural and anthropogenic threats worldwide. As a result, heritage discovery and conservation remain a huge challenge for both developed and developing countries, with heritage sites often inadequately cared for, be it due to a lack of resources, nonrecognition of the value by local people or authorities, human conflict, or some other reason. This paper presents an online geo-crowdsourcing system, termed Share Our Cultural Heritage (SOCH), which can be utilized for large-scale heritage documentation and sharing. Supported by web and mobile GIS, cultural heritage data such as textual stories, locations, and images can be acquired via portable devices. These data are georeferenced and presented to the public via web-mapping. Using photogrammetric modelling, acquired images are used to reconstruct heritage structures or artefacts into 3D digital models, which are then visualized on the SOCH web interface to enable public interaction. This end-to-end system incubates an online virtual community to encourage public engagement, raise awareness, and stimulate cultural heritage ownership. It also provides valuable resources for cultural heritage exploitation, management, education, and monitoring over time. Numéro de notice : A2018-353 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.3390/ijgi7090360 date de publication en ligne : 30/08/2018 En ligne : https://doi.org/10.3390/ijgi7090360 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=90587 [article]

Effects of terrain slope and aspect on the error of ALS-based predictions of forest attributes / Non-répertorié in Forestry, an international journal of forest research, vol 91 n° 2 (April 2018)  

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Understanding the temporal dimension of the red-edge spectral region for forest decline detection using high-resolution hyperspectral and Sentinel-2a imagery / Pablo J. Zarco-Tejada in ISPRS Journal of photogrammetry and remote sensing, vol 137 (March 2018)  

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IMPRESS BIM methodology and software tools (iBIMm) for façade retrofitting using prefabricated concrete panels / Non-répertorié in International journal of 3-D information modeling, vol 6 n° 4 (October - December 2017)  

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A Stepwise-Then-Orthogonal Regression (STOR) with quality control for optimizing the RFM of high-resolution satellite imagery / Chang Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 83 n° 9 (September 2017)  

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Monitoring of vertical deformations by means high-precision geodetic levelling. Test case : The Arenoso dam (South of Spain) / Non-répertorié in Journal of applied geodesy, vol 11 n° 1 (March 2017)  

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Estimating the intrinsic dimension of hyperspectral images using a noise-whitened eigengap approach / Non-répertorié in IEEE Transactions on geoscience and remote sensing, vol 54 n° 7 (July 2016)  

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Active-metric learning for classification of remotely sensed hyperspectral images / E. Pasolli in IEEE Transactions on geoscience and remote sensing, vol 54 n° 4 (April 2016)  

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Spatial optimization for regionalization problems with spatial interaction: a heuristic approach / K. Kim in International journal of geographical information science IJGIS, vol 30 n° 3-4 (March - April 2016)  

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Numerical and experimental evaluation of terrestrial LiDAR for parameterizing centimeter-scale sea ice surface roughness / Non-répertorié in IEEE Transactions on geoscience and remote sensing, vol 53 n° 9 (September 2015)

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Hybrid geometric optical–radiative transfer model suitable for forests on slopes / W. Fan in IEEE Transactions on geoscience and remote sensing, vol 52 n° 9 Tome 1 (September 2014)

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