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Analysis of hyperspectral data for estimation of temperate forest canopy nitrogen concentration: Comparison between an Airborne (AVIRIS) and a spaceborne (Hyperion) sensor / M.L. Smith in IEEE Transactions on geoscience and remote sensing, vol 41 n° 6 (June 2003)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 41 n° 6 (June 2003) . - pp 1332 - 1337 Titre : Analysis of hyperspectral data for estimation of temperate forest canopy nitrogen concentration: Comparison between an Airborne (AVIRIS) and a spaceborne (Hyperion) sensor Type de document : Article/Communication Auteurs : M.L. Smith, Auteur ; M.E. Martin, Auteur ; L. Plourde, Auteur ; S.V. Ollinger, Auteur Année de publication : 2003 Article en page(s) : pp 1332 - 1337 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse comparative [Termes IGN] atmosphère terrestre [Termes IGN] azote [Termes IGN] biochimie [Termes IGN] couvert forestier [Termes IGN] écosystème [Termes IGN] forêt tempérée [Termes IGN] image AVIRIS [Termes IGN] image EO1-Hyperion [Termes IGN] image hyperspectrale [Termes IGN] végétation Résumé : (Auteur) Field studies among diverse biomes demonstrate that massbased nitrogen concentration at leaf and canopy scales is strongly related to carbon uptake and cycling. Combined field and airborne imaging spectrometry studies demonstrate the capacity for accurate empirical estimation of forest canopy N concentration and other biochemical constituents at scales from forest stands to small landscapes. In this paper, we report on the utility of the first spacebased imaging spectrometer, Hyperion, for estimation of temperate forest canopy N concentration as compared to that achieved with the airborne highaltitude imaging spectrometer, the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS). Overall accuracy of Hyperion estimates of forest canopy N concentration, as compared with field measurements, were within 0.25% dry mass, and AVIRISbased estimates were within 0.19% dry mass, each well within the accuracy required to distinguish among forested ecosystems in nitrogen status. Numéro de notice : A2003-217 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2003.813128 En ligne : https://doi.org/10.1109/TGRS.2003.813128 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22513 [article]

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Sampling method and sampling placement: how do they affect the accuracy of remotely sensed maps? / L. Plourde in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 3 (March 2003)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 3 (March 2003) . - pp 289 - 297 Titre : Sampling method and sampling placement: how do they affect the accuracy of remotely sensed maps? Type de document : Article/Communication Auteurs : L. Plourde, Auteur ; Russell G. Congalton, Auteur Année de publication : 2003 Article en page(s) : pp 289 - 297 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Orthophotographie, orthoimage [Termes IGN] classification dirigée [Termes IGN] classification non dirigée [Termes IGN] échantillonnage d'image [Termes IGN] estimation de précision [Termes IGN] identification automatique [Termes IGN] précision de détermination de surface [Termes IGN] sylviculture Résumé : (Auteur) The accuracy of remote sensed forest stand maps is traditionnally assessed by comparing a sample of the map data with actual ground conditions. Samples most often comprise clusters of pixels within homogeneous areas , therby avoiding problems associated with accuratly maping "edges" (e.g., transition areas between two forest types). Consequentely, they may well overstimable accuracy, but the degree of overestimation is unknown. This paper examines two important factors regarding accuracy assessment that are not well studied : the effect on estimates of accuracy of (1) the sampling method and (2) the exact placement of the samples. Overall accuracy, normalized accuracy, and the KHAT statistic are computed from error matrices generated from simple random sampling, stratified random sampling, and systematic sampling using totally random sample placement and samples chosen from homogeneous areas only. The results indicate that Kappa appears to be appropriate to use with systematic sampling and stratified random sampling as it is with simple random sampling, but suggest that sample placement may have more of an effect on estimates of accuracy than sampling method alone. Numéro de notice : A2003-031 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.69.3.289 En ligne : https://doi.org/10.14358/PERS.69.3.289 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22328 [article]