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Auteur William L. Marks |
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Basal area and biomass estimates of loblolly pine stands using L-band UAVSAR / William L. Marks in Photogrammetric Engineering & Remote Sensing, PERS, vol 80 n° 1 (January 2014)
[article]
Titre : Basal area and biomass estimates of loblolly pine stands using L-band UAVSAR Type de document : Article/Communication Auteurs : William L. Marks, Auteur ; Ross S. Lunetta, Auteur ; John S. Iiames, Auteur ; et al., Auteur Année de publication : 2014 Article en page(s) : pp 33 - 42 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande L
[Termes IGN] biomasse
[Termes IGN] Caroline du Nord (Etats-Unis)
[Termes IGN] drone
[Termes IGN] forêt
[Termes IGN] image radar moirée
[Termes IGN] Pinus taeda
[Termes IGN] polarimétrie radarRésumé : (Auteur) Fully polarimetric L-band Synthetic Aperture Radar (SAR) backscatter was collected using NASA's Unmanned Aerial Vehicle (UAV) SAR and regressed with in situ measure-ments of basal area (BA) and above ground biomass (AGB) of mature Loblolly pine stands in North Carolina. Results found HH polarization consistently displayed the lowest correlations where HV andVV exhibited the highest correlations in all groups for both BA and AGB. When plantation stands were analyzed separately (plantation versus natural), correlation improved significantly for both BA (R2 = 0.65, hv) and AGB (R2 = 0.66, vv). Similarly, results improved when natural stands were analyzed separately resulting in the highest correlation for AGB (R2 = 0.63, HV and VV). Data decomposition using the Freeman 3-component model indicated that the relative low correlations were due to the saturation of the L-band backscatter across the majority of the study area. Numéro de notice : A2014-091 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.80.1.33 En ligne : https://doi.org/10.14358/PERS.80.1.33 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32996
in Photogrammetric Engineering & Remote Sensing, PERS > vol 80 n° 1 (January 2014) . - pp 33 - 42[article]