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Can mixed pine forests conserve understory richness by improving the establishment of understory species typical of native oak forests? / Daphne Lopez-Marcos in Annals of Forest Science [en ligne], Vol 77 n° 1 (March 2020)  

Public [article]  inAnnals of Forest Science [en ligne] > Vol 77 n° 1 (March 2020) . - 13 p. Titre : Can mixed pine forests conserve understory richness by improving the establishment of understory species typical of native oak forests? Type de document : Article/Communication Auteurs : Daphne Lopez-Marcos, Auteur ; Maria-Belen Turrion, Auteur ; Felipe Bravo, Auteur ; Carolina Martinez-Ruiz, Auteur Année de publication : 2020 Article en page(s) : 13 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] échantillonnage de données [Termes descripteurs IGN] Espagne [Termes descripteurs IGN] étage de végétation [Termes descripteurs IGN] forêt de zone humide [Termes descripteurs IGN] forêt tempérée [Termes descripteurs IGN] parcelle forestière [Termes descripteurs IGN] peuplement mélangé [Termes descripteurs IGN] Pinus pinaster [Termes descripteurs IGN] Pinus sylvestris [Termes descripteurs IGN] quercus pyrenaica [Termes descripteurs IGN] régénération (sylviculture) [Termes descripteurs IGN] sous-étage [Vedettes matières IGN] Sylviculture Résumé : (auteur) Key message: A positive effect of mixed pine forests ( Pinus sylvestris L. and Pinus pinaster Ait.) on the understory richness and tree regeneration was observed with respect to monospecific stands. Understory species typical of the native Pyrenean oak forests in the Iberian Peninsula contribute to maintaining high understory richness in such mixed pine forests. Context: The influence of stands characteristics on the understory in mixtures that combine coniferous tree species of the same genus deserves more study since they are frequent in Spain. Aims: To assess the effect of mixed versus monospecific stands of Pinus sylvestris L. and Pinus pinaster Ait. on the main tree species regeneration and understory species composition. Methods: Tree regeneration and understory species composition were inventoried in eighteen forest plots (6 triplets) in North-Central Spain. Each triplet consisted of two plots dominated either by Scots pine or Maritime pine and one mixed plot that contained both species. Results: The basal area (%) of both Pinus species was the only characteristic of the stands that significantly influenced the understory composition and tree regeneration. Characteristic species of humid and temperate zones, including P. sylvestris regeneration, dominated in Scots pine stands, and typical species of well-drained Mediterranean areas, including P. pinaster regeneration, dominated in Maritime pine stands. In mixed stands, the highest regeneration of the native Pyrenean oak with respect to monospecific stands was accompanied by understory species typical of native oak forests that share the same regeneration niche. Conclusion: Mixed pine forests allow the development of understory species better than monospecific forests. Numéro de notice : A2020-067 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s13595-020-0919-7 date de publication en ligne : 04/02/2020 En ligne : https://doi.org/10.1007/s13595-020-0919-7 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94579 [article]

Assessing the impacts of canopy openness and flight parameters on detecting a sub-canopy tropical invasive plant using a small unmanned aerial system / Ryan L. Perroy in ISPRS Journal of photogrammetry and remote sensing, vol 125 (March 2017)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 125 (March 2017) . - pp 174 - 183 Titre : Assessing the impacts of canopy openness and flight parameters on detecting a sub-canopy tropical invasive plant using a small unmanned aerial system Type de document : Article/Communication Auteurs : Ryan L. Perroy, Auteur ; Timo Sullivan, Auteur ; Nathan Stephenson, Auteur Année de publication : 2017 Article en page(s) : pp 174 - 183 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] acquisition d'images [Termes descripteurs IGN] drone [Termes descripteurs IGN] espèce exotique envahissante [Termes descripteurs IGN] migration de plantes [Termes descripteurs IGN] plan de vol [Termes descripteurs IGN] sous-étage [Termes descripteurs IGN] végétation Résumé : (Auteur) Small unmanned aerial systems (sUAS) have great potential to facilitate the early detection and management of invasive plants. Here we show how very high-resolution optical imagery, collected from small consumer-grade multirotor UAS platform at altitudes of 30–120 m above ground level (agl), can be used to detect individual miconia (Miconia calvescens) plants in a highly invaded tropical rainforest environment on the island of Hawai‘i. The central aim of this research was to determine how overstory vegetation cover, imagery resolution, and camera look-angle impact the aerial detection of known individual miconia plants. For our finest resolution imagery (1.37 cm ground sampling distance collected at 30 m agl), we obtained a 100% detection rate for sub-canopy plants with above-crown openness values >40% and a 69% detection rate for those with >20% openness. We were unable to detect any plants with Numéro de notice : A2017-074 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2017.01.018 En ligne : http://dx.doi.org/10.1016/j.isprsjprs.2017.01.018 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84324 [article]

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Lidar imagery and InSAR for digital forestry / Benoît Saint-Onge in GIM international [en ligne], vol 30 n° 7 (July 2016)

Public [article]  inGIM international [en ligne] > vol 30 n° 7 (July 2016) . - pp 14 - 17 Titre : Lidar imagery and InSAR for digital forestry Type de document : Article/Communication Auteurs : Benoît Saint-Onge, Auteur Année de publication : 2016 Article en page(s) : pp 14 - 17 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] données lidar [Termes descripteurs IGN] hauteur des arbres [Termes descripteurs IGN] image 3D [Termes descripteurs IGN] interféromètrie par radar à antenne synthétique [Termes descripteurs IGN] sous-étage Résumé : (éditeur) L'auteur is a professor at the university at Quebec in Montréal, Canada. He works at the department of geography with a major research interest in 3D remote sening for forest analysis. Gim International recently interviewed professor Saint-Onge to gain a better understanding of the challenges and innovations in this field. Numéro de notice : A2016-489 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81507 [article]

Optimizing the spatial resolution of WorldView-2 imagery for discriminating forest vegetation at subspecies level in KwaZulu-Natal, South Africa / Romano Lottering in Geocarto international, vol 31 n° 7 - 8 (July - August 2016)  

Public [article]  inGeocarto international > vol 31 n° 7 - 8 (July - August 2016) . - pp 870 - 880 Titre : Optimizing the spatial resolution of WorldView-2 imagery for discriminating forest vegetation at subspecies level in KwaZulu-Natal, South Africa Type de document : Article/Communication Auteurs : Romano Lottering, Auteur ; Onisimo Mutanga, Auteur Année de publication : 2016 Article en page(s) : pp 870 - 880 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] Afrique du sud (état) [Termes descripteurs IGN] classification dirigée [Termes descripteurs IGN] espèce végétale [Termes descripteurs IGN] image Worldview [Termes descripteurs IGN] pouvoir de résolution géométrique [Termes descripteurs IGN] rééchantillonnage [Termes descripteurs IGN] sous-étage [Termes descripteurs IGN] surface forestière [Termes descripteurs IGN] variance Résumé : (Auteur) The objective of this study was to identify an appropriate spatial resolution for discriminating forest vegetation at subspecies level. WorldView-2 imagery was progressively resampled to coarser spatial resolutions. At a compartment level, 30 × 30-m subsets were generated across forest compartments to represent the five forest subspecies investigated in this study. From the centre of each subset, the spatial resolution of the original WorldView-2 image was resampled from 6 to 34-m, with increments of 4-m. The variance was then calculated at every resampled spatial resolution using each of the eight WorldView-2 bands. Based on the sampling theorem, the 3-m spatial resolution provided an appropriate resolution for all subspecies investigated. The WorldView-2 image was subsequently classified using the partial least squares linear discriminant analysis algorithm and the appropriate spatial resolution. An overall classification accuracy of 90% was established with an allocation disagreement of 9 and a quantity disagreement of 1. Numéro de notice : A2016-458 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2015.1094519 date de publication en ligne : 26/10/2015 En ligne : http://dx.doi.org/10.1080/10106049.2015.1094519 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81382 [article]

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Wildlife management using aiborne Lidar / Joan Hagar in GIM international [en ligne], vol 30 n° 7 (July 2016)

Public [article]  inGIM international [en ligne] > vol 30 n° 7 (July 2016) . - pp 31 - 33 Titre : Wildlife management using aiborne Lidar Type de document : Article/Communication Auteurs : Joan Hagar, Auteur ; Dave Vesely, Auteur ; Patricia Haggerty, Auteur Année de publication : 2016 Article en page(s) : pp 31 - 33 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes descripteurs IGN] comptage [Termes descripteurs IGN] données lidar [Termes descripteurs IGN] gestion de la vie sauvage [Termes descripteurs IGN] habitat forestier [Termes descripteurs IGN] lasergrammétrie [Termes descripteurs IGN] oiseau [Termes descripteurs IGN] sous-étage Résumé : (éditeur) The traditional sampling protocol for quantifying nesting habitat for murrelet require an observer to peer up through the tree crown from the forest floor, a task resulting in data of dubious quality. Two dimensional feature of the canopy surface can be quantifyied using satellite imagery, but the three-dimensional attributes of the inaccessible middle strata of the canopy are the most critical to understanding and mapping the habitat. The development of lidar as a tool for quantifying forest structure offers great promise of new solutions to existing habitat measurement problems and opens up a new realm of possibilities for exploring wildlife-habitat relationships. Numéro de notice : A2016-491 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81509 [article]

Is waveform worth it? A comparison of LiDAR approaches for vegetation and landscape characterization / Karen Anderson in Remote sensing in ecology and conservation, vol 2 n° 1 (February 2016)  

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Canopy density model: A new ALS-derived product to generate multilayer crown cover maps / António Ferraz in IEEE Transactions on geoscience and remote sensing, vol 53 n° 12 (December 2015)  

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Transpiration of four common understorey plant species according to drought intensity in temperate forests / Rémy Gobin in Annals of Forest Science [en ligne], vol 72 n° 8 (December 2015)  

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Investigating the robustness of the new Landsat-8 Operational Land Imager derived texture metrics in estimating plantation forest aboveground biomass in resource constrained areas / Timothy Dube in ISPRS Journal of photogrammetry and remote sensing, vol 108 (October 2015)  

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