Descripteur
Termes IGN > sciences naturelles > sciences de la vie > biologie > botanique > formation végétale > forêt > canopée
canopée
Commentaire :
interface forêt-atmosphère. forêt, association végétale. >> écologie de la canopée. Source(s) : Glossaire d'écologie fondamentale / M. Duquet, 1993. Equiv. LCSH : Forest canopies. Domaine(s) : 580. Synonyme(s)Voûte forestièreVoir aussi |
Documents disponibles dans cette catégorie (128)
Ajouter le résultat dans votre panier
Visionner les documents numériques
Affiner la recherche Interroger des sources externes
Etendre la recherche sur niveau(x) vers le bas
Coastal wetland mapping combining multi-date SAR and LiDAR / Thomas Richard Allen in Geocarto international, vol 28 n° 7-8 (November - December 2013)
[article]
Titre : Coastal wetland mapping combining multi-date SAR and LiDAR Type de document : Article/Communication Auteurs : Thomas Richard Allen, Auteur ; Yong Wang, Auteur ; Brent Gore, Auteur Année de publication : 2013 Article en page(s) : pp 616 - 631 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse diachronique
[Termes IGN] canopée
[Termes IGN] carte thématique
[Termes IGN] données lidar
[Termes IGN] espèce exotique envahissante
[Termes IGN] image radar moirée
[Termes IGN] littoral
[Termes IGN] marais
[Termes IGN] surveillance écologique
[Termes IGN] zone humideRésumé : (Auteur) Inventorying and monitoring are imperative to management of vulnerable coastal wetlands. Multi-date and multi-sensor remote sensing offer new capabilities to wetland programmes such as the US National Wetland Inventory. This pilot study focuses on swamp forests and pocosins, marshes, shrub–scrub and invasive Phragmites australis. Combinations of spaceborne multi-date Synthetic Aperture Radar (SAR) imagery and airborne light detection and ranging (LiDAR) elevation (bare earth elevation and vegetation height) were evaluated. Multi-date SAR data (horizontal-horizontal and horizontal-vertical dual polarizations) highlighted physiognomic dynamics, with LiDAR vegetation canopy discerning selected classes. The highest overall accuracy used SAR, LiDAR canopy and digital elevation model (DEM) data (81% = 0.744), but not significantly different from the SAR-only classification (81% = 0.742). Both classifications exceeded the data combination using SAR data and DEM (66% = 0.521) and SAR data with vegetation canopy (80% = 0.725). This approach requires investigation using advanced classification algorithms to prove its potential for monitoring wetland change, sea-level rise, and invasive species. Numéro de notice : A2013-700 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2013.768297 Date de publication en ligne : 05/04/2013 En ligne : https://doi.org/10.1080/10106049.2013.768297 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32836
in Geocarto international > vol 28 n° 7-8 (November - December 2013) . - pp 616 - 631[article]Réservation
Réserver ce documentExemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 059-2013041 RAB Revue Centre de documentation En réserve L003 Disponible Backscattering of individual LiDAR pulses from forest canopies explained by photogrammetrically derived vegetation structure / Ilkka Korpela in ISPRS Journal of photogrammetry and remote sensing, vol 83 (September 2013)
[article]
Titre : Backscattering of individual LiDAR pulses from forest canopies explained by photogrammetrically derived vegetation structure Type de document : Article/Communication Auteurs : Ilkka Korpela, Auteur ; Aarne Hovi, Auteur ; Lauri Korhonen, Auteur Année de publication : 2013 Article en page(s) : pp 81 - 93 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] appariement de lignes
[Termes IGN] canopée
[Termes IGN] diffusion du rayonnement
[Termes IGN] forêt
[Termes IGN] impulsion laser
[Termes IGN] photogrammétrie métrologique
[Termes IGN] photogrammétrie terrestre
[Termes IGN] rétrodiffusion
[Termes IGN] signal lidarRésumé : (Auteur) In recent years, airborne LiDAR sensors have shown remarkable performance in the mapping of forest vegetation. This experimental study looks at LiDAR data at the scale of individual pulses to elucidate the sources behind interpulse variation in backscattering. Close-range photogrammetry was used for obtaining the canopy reference measurements at the ratio scale. The experiments illustrated different orientation techniques in the field, LiDAR acquisitions and photogrammetry in both leaf-on and leaf-off conditions, and two-waveform recording LiDAR sensors. The intrafootprint branch silhouettes in zenith-looking images, in which the camera, footprint, and LiDAR sensor were collinear, were extracted and contrasted with LiDAR backscattering. An enhanced planimetric match (refinement of strip matching) was achieved by shifting the pulses in a strip and searching for the maximal correlation between the silhouette and LiDAR intensity. The relative silhouette explained up to 80–90% of the interpulse variation. We tested whether accounting for the Gaussian spread of intrafootprint irradiance would improve the correlations, but the effect was blurred by small-scale geometric noise. Accounting for receiver gain variations in the Leica ALS60 sensor data strengthened the dependences. The size of the vegetation objects required for triggering a LiDAR observation was analyzed. We demonstrated the use of LiDAR pulses adjacent to canopy vegetation, which did not trigger a canopy echo, for canopy mapping. Pulses not triggering an echo constitute the complement to the actual canopy. We conclude that field photogrammetry is a useful tool for mapping forest canopies from below and that quantitative analysis is feasible even at the scale of single pulses for enhanced understanding of LiDAR observations from vegetation. Numéro de notice : A2013-489 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.06.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.06.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32627
in ISPRS Journal of photogrammetry and remote sensing > vol 83 (September 2013) . - pp 81 - 93[article]Réservation
Réserver ce documentExemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 081-2013091 RAB Revue Centre de documentation En réserve L003 Disponible Forest canopy height estimation using ICESat/GLAS data and error factor analysis in Hokkaido, Japan / Masato Hayashi in ISPRS Journal of photogrammetry and remote sensing, vol 81 (July 2013)
[article]
Titre : Forest canopy height estimation using ICESat/GLAS data and error factor analysis in Hokkaido, Japan Type de document : Article/Communication Auteurs : Masato Hayashi, Auteur ; Nobuko Saigusa, Auteur ; Hiroyuki Oguma, Auteur ; Yoshiki Ymagata, Auteur Année de publication : 2013 Article en page(s) : pp 12 - 18 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] canopée
[Termes IGN] données ICEsat
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] forêt
[Termes IGN] hauteur de la végétation
[Termes IGN] Hokkaido (Japon)
[Termes IGN] modèle numérique de surface
[Termes IGN] penteRésumé : (Auteur) Spaceborne light detection and ranging (LiDAR) enables us to obtain information about vertical forest structure directly, and it has often been used to measure forest canopy height or above-ground biomass. However, little attention has been given to comparisons of the accuracy of the different estimation methods of canopy height or to the evaluation of the error factors in canopy height estimation. In this study, we tested three methods of estimating canopy height using the Geoscience Laser Altimeter System (GLAS) onboard NASA’s Ice, Cloud, and land Elevation Satellite (ICESat), and evaluated several factors that affected accuracy. Our study areas were Tomakomai and Kushiro, two forested areas on Hokkaido in Japan. The accuracy of the canopy height estimates was verified by ground-based measurements. We also conducted a multivariate analysis using quantification theory type I (multiple-regression analysis of qualitative data) and identified the observation conditions that had a large influence on estimation accuracy. The method using the digital elevation model was the most accurate, with a root-mean-square error (RMSE) of 3.2 m. However, GLAS data with a low signal-to-noise ratio (?10.0) and that taken from September to October 2009 had to be excluded from the analysis because the estimation accuracy of canopy height was remarkably low. After these data were excluded, the multivariate analysis showed that surface slope had the greatest effect on estimation accuracy, and the accuracy dropped the most in steeply sloped areas. We developed a second model with two equations to estimate canopy height depending on the surface slope, which improved estimation accuracy (RMSE = 2.8 m). These results should prove useful and provide practical suggestions for estimating forest canopy height using spaceborne LiDAR. Numéro de notice : A2013-385 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.04.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.04.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32523
in ISPRS Journal of photogrammetry and remote sensing > vol 81 (July 2013) . - pp 12 - 18[article]Réservation
Réserver ce documentExemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 081-2013071 RAB Revue Centre de documentation En réserve L003 Disponible Assessing the impact of hydrocarbon leakages on vegetation using reflectance spectroscopy / I.D. Sanches in ISPRS Journal of photogrammetry and remote sensing, vol 78 (April 2013)
[article]
Titre : Assessing the impact of hydrocarbon leakages on vegetation using reflectance spectroscopy Type de document : Article/Communication Auteurs : I.D. Sanches, Auteur ; C.R. Souza Filho, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 85 - 101 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse en composantes principales
[Termes IGN] canalisation
[Termes IGN] canopée
[Termes IGN] détection de changement
[Termes IGN] feuille (végétation)
[Termes IGN] forêt tropicale
[Termes IGN] hydrocarbure
[Termes IGN] réflectance végétaleRésumé : (Auteur) This paper assesses the capability of hyperspectral remote sensing to detect hydrocarbon leakages in pipelines using vegetation status as an indicator of contamination. A field experiment in real scale and in tropical weather was conducted in which Brachiaria brizantha H.S. pasture plants were grown over soils contaminated with small volumes of liquid hydrocarbons (HCs). The contaminations involved volumes of hydrocarbons that ranged between 2 L and 12.7 L of gasoline and diesel per m3 of soil, which were applied to the crop parcels over the course of 30 days. The leaf and canopy reflectance spectra of contaminated and control plants were acquired within 350–2500 nm wavelengths. The leaf and canopy reflectance spectra were mathematically transformed by means of first derivative (FD) and continuum removal (CR) techniques. Using principal component analysis (PCA), the spectral measurements could be grouped into either two or three contamination groups. Wavelengths in the red edge were found to contain the largest spectral differences between plants at distinct, evolving contamination stages. Wavelengths centred on water absorption bands were also important to differentiating contaminated from healthy plants. The red edge position of contaminated plants, calculated on the basis of FD spectra, shifted substantially to shorter wavelengths with increasing contamination, whereas non-contaminated plants displayed a red shift (in leaf spectra) or small blue shift (in canopy spectra). At leaf scale, contaminated plants were differentiated from healthy plants between 550–750 nm, 1380–1550 nm, 1850–2000 nm and 2006–2196 nm. At canopy scale, differences were substantial between 470–518 nm, 550–750 nm, 910–1081 nm, 1116–1284 nm, 1736–1786 nm, 2006–2196 nm and 2222–2378 nm. The results of this study suggests that remote sensing of B. brizantha H.S. at both leaf and canopy scales can be used as an indicator of gasoline and diesel contaminations for the detection of small leakages in pipelines. Numéro de notice : A2013-181 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2013.01.007 En ligne : https://doi.org/10.1016/j.isprsjprs.2013.01.007 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32319
in ISPRS Journal of photogrammetry and remote sensing > vol 78 (April 2013) . - pp 85 - 101[article]Réservation
Réserver ce documentExemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 081-2013041 RAB Revue Centre de documentation En réserve L003 Disponible Comparison of forest attributes derived from two terrestrial lidar systems / Mark J. Ducey in Photogrammetric Engineering & Remote Sensing, PERS, vol 79 n° 3 (March 2013)
[article]
Titre : Comparison of forest attributes derived from two terrestrial lidar systems Type de document : Article/Communication Auteurs : Mark J. Ducey, Auteur ; Rasmus Astrup, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 245 - 257 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] analyse comparative
[Termes IGN] attribut
[Termes IGN] canopée
[Termes IGN] caractérisation
[Termes IGN] Colombie-Britannique (Canada)
[Termes IGN] données lidar
[Termes IGN] forêt
[Termes IGN] instrumentation Leica
[Termes IGN] instrumentation Riegl
[Termes IGN] inventaire forestier (techniques et méthodes)
[Termes IGN] lasergrammétrie
[Termes IGN] semis de points
[Termes IGN] télémétrie laser terrestre
[Termes IGN] troncRésumé : (Auteur) Terrestrial lidar (TLS) is an emerging technology for deriving forest attributes, including conventional inventory and canopy characterizations. However, little is known about the influence of scanner specifications on derived forest parameters. We compared two TLS systems at two sites in British Columbia. Common scanning benchmarks and identical algorithms were used to obtain estimates of tree diameter, position, and canopy characteristics. Visualization of range images and point clouds showed clear differences, even though both scanners were relatively high-resolution instruments. These translated into quantifiable differences in impulse penetration, characterization of stems and crowns far from the scan location, and gap fraction. Differences between scanners in estimates of effective plant area index were greater than differences between sites. Both scanners provided a detailed digital model of forest structure, and gross structural characterizations (including crown dimensions and position) were relatively robust; but comparison of canopy density metrics may require consideration of scanner attributes. Numéro de notice : A2013-104 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.79.3.245 En ligne : https://doi.org/10.14358/PERS.79.3.245 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32242
in Photogrammetric Engineering & Remote Sensing, PERS > vol 79 n° 3 (March 2013) . - pp 245 - 257[article]Single strata canopy cover estimation using airborne laser scanning data / António Ferraz (juillet 2013)PermalinkDetection of large-scale forest canopy change in pan-tropical humid forests 2000–2009 with the seawinds Ku-band scatterometer / S. Frolking in IEEE Transactions on geoscience and remote sensing, vol 50 n° 7 Tome 1 (July 2012)PermalinkFull waveform-based analysis for forest type information derivation from large footprint spaceborne lidar data / Junjie Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 3 (March 2011)PermalinkLa canopée forestière vue par un Lidar ultra-violet aéroporté de nouvelle génération / J. Cuesta in Revue Française de Photogrammétrie et de Télédétection, n° 191 (Mai 2010)PermalinkDétection des variations de structure de peuplements en forêt dense tropicale humide par Lidar aéroporté / G. Vincent in Revue Française de Photogrammétrie et de Télédétection, n° 191 (Mai 2010)PermalinkAn application-oriented automated approach for co-registration of forest inventory and airborne laser scanning data / W. Dorigo in International Journal of Remote Sensing IJRS, vol 31 n° 5 (March 2010)PermalinkLidar mapping of canopy gaps in continuous cover forests : a comparison of canopy height model and point cloud based techniques / Rachel Gaulton in International Journal of Remote Sensing IJRS, vol 31 n° 5 (March 2010)PermalinkUncertainty within satellite LiDAR estimations of vegetation and topography / J. Rosette in International Journal of Remote Sensing IJRS, vol 31 n° 5 (March 2010)PermalinkInfluence de l'intensité d'exploitation et du degré d'ouverture de la canopée en forêt tropicale humide sur le maintien et la dynamique de la biodiversité / Christopher Baraloto (2010)PermalinkAdvanced full-waveform lidar data echo detection: assessing quality of derived terrain and tree height models in an alpine coniferous forest / Adrien Chauve in International Journal of Remote Sensing IJRS, vol 30 n° 19 (October 2009)Permalink