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A slope-based method for matching elevation surfaces / D. Streutker in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 7 (July 2011)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 7 (July 2011) . - pp 721 - 732 Titre : A slope-based method for matching elevation surfaces Type de document : Article/Communication Auteurs : D. Streutker, Auteur ; N. Glenn, Auteur ; R. Shresta, Auteur Année de publication : 2011 Article en page(s) : pp 721 - 732 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] analyse comparative [Termes IGN] appariement de données localisées [Termes IGN] appariement géométrique [Termes IGN] données lidar [Termes IGN] hauteur de vol [Termes IGN] Idaho (Etats-Unis) [Termes IGN] pente [Termes IGN] reconstruction d'objet [Termes IGN] recouvrement d'images Résumé : (Auteur) A method is presented for the co-registration of overlapping elevation surfaces based on local slope analysis. Comparison and statistical analysis of local slope versus local elevation difference between overlapping surfaces allows for the estimation of both vertical and horizontal offsets between the two surfaces. This method is then used to re-align the flightlines of a Light Detection and Ranging (lidar) dataset collected in southern Idaho resulting in a dataset with significantly higher accuracy than the original. The relative horizontal accuracy is doubled, with a final value of approximately 25 to 30 cm, while the relative vertical accuracy is improved by several centimeters to a final valm of approximately 6 to 7 cm. Numéro de notice : A2011-315 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.77.7.743 En ligne : https://doi.org/10.14358/PERS.77.7.743 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31094 [article]

Small-footprint Lidar estimations of sagebrush canopy characteristics / J. Mitchell in Photogrammetric Engineering & Remote Sensing, PERS, vol 77 n° 5 (May 2011)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 77 n° 5 (May 2011) . - pp 521 - 530 Titre : Small-footprint Lidar estimations of sagebrush canopy characteristics Type de document : Article/Communication Auteurs : J. Mitchell, Auteur ; N. Glenn, Auteur ; et al., Auteur Année de publication : 2011 Article en page(s) : pp 521 - 530 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie [Termes IGN] arbuste [Termes IGN] densité des points [Termes IGN] données lidar [Termes IGN] données maillées [Termes IGN] hauteur de la végétation [Termes IGN] plante herbacée [Termes IGN] semis de points Résumé : (Auteur) The height and shape of shrub canopies are critical measurements for characterizing shrub steppe rangelands. Remote sensing technologies might provide an efficient method to acquire these measurements across large areas. This study compared point-cloud and rasterized lidar data to field-measured sagebrush height and shape to quantify the correlation between field-based and lidar-derived estimates. The results demonstrated that discrete return, small-footprint lidar with high point density (9.46 points/m2) can provide strong predictions of true sagebrush height (H2 of 0.84 to 0.86), but with a consistent underestimation of approximately 30 percent. Our results provided the first successful lidar-based descriptors of sagebrush shape with R2 values of 0.65, 0.74, and 0.78 for respective predictions of shortest canopy diameter, longest canopy diameter, and canopy area. Future studies can extend lidar-derived shrub height and shape measurements to canopy volume, cover, and biomass estimates. Numéro de notice : A2011-171 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.77.5.521 En ligne : https://doi.org/10.14358/PERS.77.5.521 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30949 [article]