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Prospects for quantifying structure, floristic composition and species richness of tropical forests / T.W. Gillespie in International Journal of Remote Sensing IJRS, vol 25 n° 4 (February 2004)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 25 n° 4 (February 2004) . - pp 707 - 715 Titre : Prospects for quantifying structure, floristic composition and species richness of tropical forests Type de document : Article/Communication Auteurs : T.W. Gillespie, Auteur ; J.C. Brock, Auteur ; C.W. Wright, Auteur Année de publication : 2004 Article en page(s) : pp 707 - 715 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] biodiversité [Termes IGN] canopée [Termes IGN] données lidar [Termes IGN] espèce végétale [Termes IGN] flore locale [Termes IGN] forêt tropicale Résumé : (Auteur) Airborne spectral and light detection and ranging (lidar) sensors have been used to quantify biophysical cahracteristics of tropical forests. Lidar sensors have provided high-resolution data on forest height, canopy topography, volume and gap size ; and provided estimates on number of strata in a forest, successional status of forests, and above-ground biomass. Spectral sensors have provided data on vegetation types, foliar biochemistry content of forest canopies, tree and canopy phenology, and spectral signatures for selected tree species. A number of advances are theorically possible with individual and combined spectral and lidar sensors for the study of forest structure, floristic composition and species richness. Delineating individual canopies of over-storey trees with small footprint lidar and discrimination of tree architectural types with waveform distributions is possible and would provide scientists with a new method to study tropical forest structure. Combined spectral and lidar data can be used to identify selected tree species and identify the successional status of tropical forest fragments in order to rank forest patches by levels of species richness. It should be possible in the near future to quantify selected patterns of tropical forests at a higher resolution than can currently be undertaken in the field or from space. Numéro de notice : A2004-073 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001598917 En ligne : https://doi.org/10.1080/01431160310001598917 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26601 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-04041	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Recognition of fiducial surfaces in lidar surveys of coastal topography / J.C. Brock in Photogrammetric Engineering & Remote Sensing, PERS, vol 67 n° 11 (November 2001)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 67 n° 11 (November 2001) . - pp 1245 - 1258 Titre : Recognition of fiducial surfaces in lidar surveys of coastal topography Type de document : Article/Communication Auteurs : J.C. Brock, Auteur ; A.H. Sallenger, Auteur ; W.B. Krabill, Auteur ; R.N. Swift, Auteur ; C.W. Wright, Auteur Année de publication : 2001 Article en page(s) : pp 1245 - 1258 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] couverture (données géographiques) [Termes IGN] données lidar [Termes IGN] Etats-Unis [Termes IGN] géomorphologie [Termes IGN] littoral [Termes IGN] modèle numérique de surface [Termes IGN] reconnaissance de surface [Termes IGN] réflectance de surface [Termes IGN] télémétrie laser aéroporté [Termes IGN] trait de côte Résumé : (Auteur) A new method for the recognition and mapping of surfaces in coastal landscapes that provide accurate and low variability topographic measurements with respect to airborne lidar surveys is described and demonstrated in this paper. Such surfaces are herein termed "fiducial" because they can represent reference baseline morphology in studies of coastal change due to natural or anthropogenic causes. Nonfiducial surfaces may also be identified in each separate lidar survey to be used in a given geomorphic change analysis. Sites that are nonfiducial in either or both lidar surveys that bracket the time period under investigation may be excluded from consideration in subsequent calculations of survey-to-survey elevation differences to eliminate spurious indications of landscape change. This new analysis method, or lidar fiducial surface recognition (LFSR) algorithm, is intended to more fully enable the nonambiguous use of topographic lidar in a range of coastal investigations. The LFSR algorithm may be widely applied, because it is based solely on the information inherent in the USGS/NASA/NOAA airborne topographic lidar coverage that exists for most of the contiguous U.S. coastline. Numéro de notice : A2001-210 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://www.asprs.org/wp-content/uploads/pers/2001journal/november/2001_nov_1245 [...] Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=21904 [article]