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[n° ou bulletin]
est un bulletin de Photogrammetric Engineering & Remote Sensing, PERS / American society for photogrammetry and remote sensing (1975 -) ![]()
[n° ou bulletin]
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Dépouillements
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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)
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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 forestièreRésumé : (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
in Photogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 4 (April 2016) . - pp 271 - 281[article]The attenuation of retroreflective signatures on surface soils / Robyn A. Barbato in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 4 (April 2016)
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Titre : The attenuation of retroreflective signatures on surface soils Type de document : Article/Communication Auteurs : Robyn A. Barbato, Auteur ; Karen L. Foley, Auteur ; Adam Lewinter, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 283 - 289 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse de données
[Termes IGN] données lidar
[Termes IGN] matière organique
[Termes IGN] réflectance du sol
[Termes IGN] rétroréflecteur
[Termes IGN] signature polarimétriqueRésumé : (auteur) Soil parameters such as water potential, temperature, organic matter (OM), and particle size distribution influence biological activity and collectively define the state of soils, yet these properties are typically described through time-intensive, ground-based sampling efforts. To improve our understanding of soils through stand-off sensing techniques, Light Detection and Ranging was used to monitor the signature of retroreflective beads embedded in polymeric agents on four soils. Our goal was to generate probability density functions (PDFs) for stochastic predictions of the persistence of this signature through time. Our findings showed that the PDFs of the reflected signal between target and background soils became nearly indistinguishable after five months and that OM, nitrogen content, cation exchange capacity, and pH related to signature decline. This approach, while developed using polymer-bound retroreflectors, will serve as a framework where a signature-emitter is left in or on soil and differentially influenced by terrain, weather, and soil processes. Numéro de notice : A2016-180 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.82.4.283 En ligne : https://doi.org/10.14358/PERS.82.4.283 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80523
in Photogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 4 (April 2016) . - pp 283 - 289[article]Combined calibration method based on rational function model for the Chinese GF-1 wide-field-of-view imagery / Taoyang Wang in Photogrammetric Engineering & Remote Sensing, PERS, vol 82 n° 4 (April 2016)
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[article]
Titre : Combined calibration method based on rational function model for the Chinese GF-1 wide-field-of-view imagery Type de document : Article/Communication Auteurs : Taoyang Wang, Auteur ; Guo Zhang, Auteur ; Yonghua Jiang, Auteur Année de publication : 2016 Article en page(s) : pp 291 - 298 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] champ visuel
[Termes IGN] échantillonnage d'image
[Termes IGN] étalonnage de capteur (imagerie)
[Termes IGN] image GF-1
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] orientation interneRésumé : (auteur) The internal geometric distortion of charge-coupled-device (CCD) chips degrades the internal geometric accuracy of satellite images. Even if a large number of ground control points (GCPs) are used for geometric correction, the satellite images cannot always be used for direct mapping. Because of the current lack of core parameters for building a rigorous geometric model, this paper proposes a combined interior-orientation calibration method based on the rational function model (RFM) for multiple GF-1 wide-field-of-view (WFV) images of the same general scene. A polynomial model of look angles in the image space is chosen to compensate for the systemic error of CCD chips. After calibration for sensors 1 to 4, the orientation accuracy is improved to 0.4 pixels. Moreover, the residual error figures show no obvious trend. Other GF-1 WFV images are calibrated using the obtained interior-orientation parameters, and the improvement in their orientation accuracy is demonstrated to validate the effectiveness of the proposed method. Numéro de notice : A2016-181 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.82.4.291 En ligne : https://doi.org/10.14358/PERS.82.4.291 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80524
in Photogrammetric Engineering & Remote Sensing, PERS > vol 82 n° 4 (April 2016) . - pp 291 - 298[article]