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Auteur T.W. Gillespie |
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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)
[article]
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 tropicaleRésumé : (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
in International Journal of Remote Sensing IJRS > vol 25 n° 4 (February 2004) . - pp 707 - 715[article]Exemplaires(1)
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