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Le Parc national de forêts : des patrimoines en devenir / Pierre Clergeot in Géomètre, n° 2207 (novembre 2022)

Public [article]  inGéomètre > n° 2207 (novembre 2022) . - pp 45 - 48 Titre : Le Parc national de forêts : des patrimoines en devenir Type de document : Article/Communication Auteurs : Pierre Clergeot, Auteur Année de publication : 2022 Article en page(s) : pp 45 - 48 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Environnement [Termes IGN] développement durable [Termes IGN] feuillu [Termes IGN] gestion forestière durable [Termes IGN] parc naturel [Termes IGN] protection du patrimoine Résumé : (Auteur) Le Grenelle de l’environnement a proposé en 2007 la création d’un parc de forêts de feuillus de plaine. Douze ans plus tard, le « Parc national de forêts » a vu le jour. Le but est d’en faire une zone de protection des patrimoines, économiquement vivante, répondant aux objectifs du développement durable, qui puisse faire école en termes d’aménagement. Numéro de notice : A2022-804 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Article nature-HAL : ArtSansCL DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102128 [article]

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Classification of mediterranean shrub species from UAV point clouds / Juan Pedro Carbonell-Rivera in Remote sensing, vol 14 n° 1 (January-1 2022)  

Public [article]  inRemote sensing > vol 14 n° 1 (January-1 2022) . - n° 199 Titre : Classification of mediterranean shrub species from UAV point clouds Type de document : Article/Communication Auteurs : Juan Pedro Carbonell-Rivera, Auteur ; Jesus Torralba, Auteur ; Javier Estornell, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 199 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications photogrammétriques [Termes IGN] apprentissage automatique [Termes IGN] arbuste [Termes IGN] classification par forêts d'arbres décisionnels [Termes IGN] classification par Perceptron multicouche [Termes IGN] Espagne [Termes IGN] Extreme Gradient Machine [Termes IGN] forêt méditerranéenne [Termes IGN] image captée par drone [Termes IGN] incendie de forêt [Termes IGN] indice de végétation [Termes IGN] modèle de simulation [Termes IGN] modèle numérique de terrain [Termes IGN] parc naturel [Termes IGN] photogrammétrie aérienne [Termes IGN] semis de points Résumé : (auteur) Modelling fire behaviour in forest fires is based on meteorological, topographical, and vegetation data, including species’ type. To accurately parameterise these models, an inventory of the area of analysis with the maximum spatial and temporal resolution is required. This study investigated the use of UAV-based digital aerial photogrammetry (UAV-DAP) point clouds to classify tree and shrub species in Mediterranean forests, and this information is key for the correct generation of wildfire models. In July 2020, two test sites located in the Natural Park of Sierra Calderona (eastern Spain) were analysed, registering 1036 vegetation individuals as reference data, corresponding to 11 shrub and one tree species. Meanwhile, photogrammetric flights were carried out over the test sites, using a UAV DJI Inspire 2 equipped with a Micasense RedEdge multispectral camera. Geometrical, spectral, and neighbour-based features were obtained from the resulting point cloud generated. Using these features, points belonging to tree and shrub species were classified using several machine learning methods, i.e., Decision Trees, Extra Trees, Gradient Boosting, Random Forest, and MultiLayer Perceptron. The best results were obtained using Gradient Boosting, with a mean cross-validation accuracy of 81.7% and 91.5% for test sites 1 and 2, respectively. Once the best classifier was selected, classified points were clustered based on their geometry and tested with evaluation data, and overall accuracies of 81.9% and 96.4% were obtained for test sites 1 and 2, respectively. Results showed that the use of UAV-DAP allows the classification of Mediterranean tree and shrub species. This technique opens a wide range of possibilities, including the identification of species as a first step for further extraction of structure and fuel variables as input for wildfire behaviour models. Numéro de notice : A2022-057 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.3390/rs14010199 En ligne : https://doi.org/10.3390/rs14010199 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99462 [article]

Modeling tree-growth : Assessing climate suitability of temperate forests growing in Moncayo Natural Park (Spain) / Edurne Martínez del Castillo in Forest ecology and management, vol 435 (1 March 2019)  

Public [article]  inForest ecology and management > vol 435 (1 March 2019) . - pp 128 - 137 Titre : Modeling tree-growth : Assessing climate suitability of temperate forests growing in Moncayo Natural Park (Spain) Type de document : Article/Communication Auteurs : Edurne Martínez del Castillo, Auteur ; Luis Alberto Longares, Auteur ; Roberto Serrano-Notivoli, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : pp 128 - 137 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Castille-et-Leon (Espagne) [Termes IGN] changement climatique [Termes IGN] conservation des ressources forestières [Termes IGN] croissance des arbres [Termes IGN] espèce végétale [Termes IGN] forêt tempérée [Termes IGN] gestion forestière durable [Termes IGN] modèle de croissance végétale [Termes IGN] parc naturel [Vedettes matières IGN] Végétation et changement climatique Résumé : (Auteur) In the past few decades, temperate forests have been negatively altered by numerous anthropogenic activities and by the impact of ongoing climate change. These changes may require management actions to help preserve some forest tree species. In this sense, highly-detailed knowledge of tree growth and survival across territorial and climatic gradients will be important for forest conservation. We developed a novel approach to determine the optimal zones of forest growth and expansion through climate suitability maps, using a dense tree-ring network of four forest species in Moncayo Natural Park and high-resolution climate data. Our results showed that the mixed-effects models developed using climate data and tree size were able to predict between 65 and 80% of growth variability along the climatic gradient. All studied species were influenced by climate, and the relationship between growth and climate significantly differed along the prevailing climate gradient. Moreover, the suitability maps showed that the current species distribution is limited, and their application may serve as a tool for adaptive management in forests subjected to climate change. Numéro de notice : A2019-223 Affiliation des auteurs : non IGN Thématique : FORET/MATHEMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.foreco.2018.12.051 Date de publication en ligne : 05/01/2019 En ligne : https://doi.org/10.1016/j.foreco.2018.12.051 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92721 [article]

Mapping tree cover with Sentinel-2 data using the Support Vector Machine (SVM) / Anna Mirończuk in Geoinformation issues, Vol 9 n° 1 (2017)  

Public [article]  inGeoinformation issues > Vol 9 n° 1 (2017) . - pp 27 - 38 Titre : Mapping tree cover with Sentinel-2 data using the Support Vector Machine (SVM) Type de document : Article/Communication Auteurs : Anna Mirończuk, Auteur ; Agata Hościło, Auteur Année de publication : 2018 Article en page(s) : pp 27 - 38 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] carte de la végétation [Termes IGN] classification par séparateurs à vaste marge [Termes IGN] couvert forestier [Termes IGN] image multitemporelle [Termes IGN] image Sentinel-MSI [Termes IGN] parc naturel [Termes IGN] Pologne Résumé : (auteur) The knowledge on forest resources is important for sustainable forest management at local and national level. The aim of this paper is to examine the efficacy of the Support Vector Machine (SVM) approach for tree cover mapping based on Sentinel-2 images and to explore the potential of the Sentinel-2 data for the assessment of tree cover. Sentinel-2 is a constellation of two European satellites providing innovative wide-swath (up to 290 km), high-resolution and multispectral data (13 spectral bands at 10, 20 and 60 m spatial resolution).The study area is located in the Forest Promotion Complex, which is a part of the Knyszyn Forest Landscape Park in Poland. The SVM classification was performed on the single images (spring and summer season) and on multi-date Sentinel-2 images (images from two dates classified simultaneously). In addition, the use of high-resolution bands and a combination of the 10 m and 20 m spatial resolution data was examined. The overall accuracy for all performed classification was very high and reached the level of 96.7%–99.6%, which con-firms that SVM classification can be successfully applied for tree cover mapping. The analysis showed that the Sentinel-2 images acquired in the middle of the vegetation season, when the leaves are fully developed are more suitable for tree cover mapping than the images acquired in spring. Numéro de notice : A2018-629 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans Date de publication en ligne : 01/03/2018 En ligne : http://www.igik.edu.pl/upload/File/wydawnictwa/GI9MiroczukA.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92885 [article]

Les forêts anciennes [diaporama] / Laurent Bergès (2018)  

Public Titre : Les forêts anciennes [diaporama] Type de document : Article/Communication Auteurs : Laurent Bergès, Auteur ; Benoit Renaux, Auteur Editeur : Saint-Mandé : Institut national de l'information géographique et forestière - IGN (2012-) Année de publication : 2018 Conférence : IGN - EcoFor 2018, Colloque 60 ans d’inventaire forestier pour éclairer l’avenir 15/10/2018 16/10/2018 Paris France open access proceedings Importance : 14 p. Format : 21 x 30 cm Langues : Français (fre) Descripteur : [Termes IGN] carte d'Etat-Major [Termes IGN] changement d'occupation du sol [Termes IGN] flore forestière [Termes IGN] forêt [Termes IGN] forêt ancienne [Termes IGN] parc naturel [Termes IGN] surface forestière [Vedettes matières IGN] Inventaire forestier Numéro de notice : C2018-123 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET Nature : Communication nature-HAL : ComSansActesPubliés-Unpublished DOI : sans En ligne : https://inventaire-forestier.ign.fr/IMG/pdf/atelier-05-forets-anciennes-berges.p [...] Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97576

Demand and supply of cultural ecosystem services: Use of geotagged photos to map the aesthetic value of landscapes in Hokkaido / Nobuhiko Yoshimura in Ecosystem Services, vol 24 (April 2017)  

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Engaging indigenous people as geo-crowdsourcing sensors for ecotourism mapping via mobile data collection: a case study of the Royal Belum State Park / Nurul Hawani Idris in Cartography and Geographic Information Science, Vol 44 n° 2 (March 2017)  

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Géomatique dans les espaces naturels : de briques et de broc / Françoise de Blomac in DécryptaGéo le mag, n° 179 (septembre 2016)

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Forest Ecosystem Services Valuation in Different Management Scenarios: a Case Study of the Maramures Mountains / Bogdan Popa in Baltic forestry, vol 22 n° 2 ([01/07/2016])  

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Lidar detection of the ten tallest trees in the Tennessee portion of the Great Smoky Mountains national park / Chris W. Strother in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 5 (May 2015)  

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Cartographie du déboisement à partir de données à haute résolution spatiale / Yannick Philippets (2012) 

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Oak (Quercus robur L.) regeneration as a response to natural dynamics of stands in European hemiboreal zone / Andrzej Bobiec in European Journal of Forest Research, vol 130 n° 5 (September 2011)  

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Assessment of the influence of flying altitude and scan angle on biophysical vegetation products derived from airborne laser scanning / F. Morsdorf in International Journal of Remote Sensing IJRS, vol 29 n° 5 (March 2008)  

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Annecy : un SIG entre lac et montagne / Anonyme in Géomatique expert, n° 44 (01/06/2005)

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A credit assignment approach to fusing classifiers of multiseason hyperspectral imagery / C. Bachmann in IEEE Transactions on geoscience and remote sensing, vol 41 n° 11 (November 2003)  

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