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Estimating forest and woodland aboveground biomass using active and passive remote sensing / Zhuoting Wu in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 4 (April 2016)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 4 (April 2016) . - pp 271 - 281 Titre : Estimating forest and woodland aboveground biomass using active and passive remote sensing Type de document : Article/Communication Auteurs : Zhuoting Wu, Auteur ; Dennis Dye, Auteur ; John Vogel, Auteur ; Barry Middleton, Auteur Année de publication : 2016 Article en page(s) : pp 271 - 281 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Arizona (Etats-Unis) [Termes IGN] biomasse aérienne [Termes IGN] biomasse forestière [Termes IGN] capteur actif [Termes IGN] capteur passif [Termes IGN] données lidar [Termes IGN] écosystème forestier [Termes IGN] hauteur des arbres [Termes IGN] image Landsat-8 [Termes IGN] surface forestière Résumé : (auteur) Aboveground biomass was estimated from active and passive remote sensing sources, including airborne lidar and Landsat-8 satellites, in an eastern Arizona (USA) study area comprised of forest and woodland ecosystems. Compared to field measurements, airborne lidar enabled direct estimation of individual tree height with a slope of 0.98 (R2 = 0.98). At the plot-level, lidar-derived height and intensity metrics provided the most robust estimate for aboveground biomass, producing dominant species-based aboveground models with errors ranging from 4 to 14 Mg ha –1 across all woodland and forest species. Landsat-8 imagery produced dominant species-based aboveground biomass models with errors ranging from 10 to 28 Mg ha –1. Thus, airborne lidar allowed for estimates for fine-scale aboveground biomass mapping with low uncertainty, while Landsat-8 seems best suited for broader spatial scale products such as a national biomass essential climate variable (ECV) based on land cover types for the United States. Numéro de notice : A2016-179 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.82.4.271 En ligne : http://dx.doi.org/10.14358/PERS.82.4.271 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80521 [article]

Determination of flight vehicle position and orientation using the Global Positioning System / K. Heckroth in SaLIS Surveying and land information science, vol 67 n° 1 (March 2007)

Public [article]  inSaLIS Surveying and land information science > vol 67 n° 1 (March 2007) . - pp 15 - 32 Titre : Determination of flight vehicle position and orientation using the Global Positioning System Type de document : Article/Communication Auteurs : K. Heckroth, Auteur ; K. Jeyapalan, Auteur ; John Vogel, Auteur Année de publication : 2007 Article en page(s) : pp 15 - 32 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de géodésie spatiale [Termes IGN] correction différentielle [Termes IGN] données 4D [Termes IGN] GPS en mode différentiel [Termes IGN] GPS-INS [Termes IGN] position [Termes IGN] temps réel [Termes IGN] véhicule aérien Résumé : (Auteur) In this paper we document the development of a numerical method for the determination of the position and angular orientation of a body using the Global Positioning System (GPS). By using data collected from multiple antennas on board a single flight vehicle, and by employing differential corrections supplied by a fixed ground receiver, this numerical method can produce Earth Centered Earth Fixed (ECEF) coordinates for a specified point on a vehicle, as well as the Euler angles (pitch, roll, yaw) expressing the angular orientation of the vehicle at that point. This analysis has applications for any mobile platform where position and orientation information is desired. The particular application we tested is in regards to aerial photogrammetry. Copyright SaLIS Numéro de notice : A2007-210 Affiliation des auteurs : non IGN Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=83653 [article]

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