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Auteur X. Tang |
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III-1 - July 2016 - [actes] XXIII ISPRS Congress, Commission I, 12–19 July 2016, Prague, Czech Republic (Bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences) / Lena Halounova
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[n° ou bulletin]
est un bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences / International society for photogrammetry and remote sensing (2012 - )
Titre : III-1 - July 2016 - [actes] XXIII ISPRS Congress, Commission I, 12–19 July 2016, Prague, Czech Republic Type de document : Périodique Auteurs : Lena Halounova, Editeur scientifique ; V. Safar, Editeur scientifique ; Charles K. Toth, Editeur scientifique ; Jakub Karas, Editeur scientifique ; Huadong Guo, Editeur scientifique ; Norbert Haala, Editeur scientifique ; A. Habib, Editeur scientifique ; Peter Reinartz, Editeur scientifique ; X. Tang, Editeur scientifique ; J. Li, Editeur scientifique ; Costas Armenakis, Editeur scientifique ; Görres Grenzdorffer, Editeur scientifique ; P. Le Roux, Editeur scientifique ; Stratos Stylianidis, Editeur scientifique ; Reinhard Blasi, Editeur scientifique ; M. Menard, Editeur scientifique ; H. Dufourmount, Editeur scientifique ; Z. Li, Editeur scientifique Congrès : ISPRS 2016, 23th international congress (12 - 19 juillet 2016; Prague, République tchèque), Auteur Année de publication : 2016 Langues : Français (fre) Numéro de notice : sans Affiliation des auteurs : non IGN Nature : Numéro de périodique En ligne : http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-1/index.html Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=27483 [n° ou bulletin]Contient
- Hybrid online mobile laser scanner calibration through image alignment by mutual information / Mourad Miled in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, III-1 (July 2016)
- Accuracy Validation of Large-scale Block Adjustment without Control of ZY3 Images over China / Yang Bo in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, III-1 (July 2016)
- Refined satellite image orientation in the free open-source photogrammetric tools Apero/MicMac / Ewelina Rupnik in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, III-1 (July 2016)
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Inventory-based estimation of forest biomass in Shitai County, China: A comparison of five methods / X. Tang in Annals of forest research, vol 59 n° 2 (July - December 2016)
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[article]
Titre : Inventory-based estimation of forest biomass in Shitai County, China: A comparison of five methods Type de document : Article/Communication Auteurs : X. Tang, Auteur ; L. Fehrmann, Auteur ; Fengying Guan, Auteur ; D.I. Forrester, Auteur ; R. Guisasola, Auteur ; C. Kleinn, Auteur Année de publication : 2016 Article en page(s) : pp 269 - 280 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes descripteurs IGN] Abies (genre)
[Termes descripteurs IGN] biomasse forestière
[Termes descripteurs IGN] Chine
[Termes descripteurs IGN] estimation statistique
[Termes descripteurs IGN] feuillu
[Termes descripteurs IGN] inventaire forestier étranger (données)
[Termes descripteurs IGN] puits de carbone
[Vedettes matières IGN] Ecologie forestièreRésumé : (auteur) Several comparative studies have reported that there can be great discrepancies between different methods used to estimate forest biomass. With the development of carbon markets, an accurate estimation at the regional scale (i.e. county level) is becoming increasingly important for local government. In this study, we applied five methodologies [continuous biomass expansion factor (CBEF) approach, mean biomass density (MB) approach, mean biomass expansion factor (MBEF) approach, national continuous biomass expansion factors (NCBEF) proposed by Fang et al (2002), standard IPCC approach] to estimate the total biomass for Shitai County, China. The CBEF is generally considered to provide the most realistic estimates in term of regional biomass because CBEF reflects the change of BEF to stand density, stand age and site conditions. The forests of the whole county were divided into four forest types, namely Chinese fir plantations (CF), hardwood broadleaved forests (HB), softwood–broadleaved forests (SB) and mason pine forests (MP) according to the local forest management inventory of 2004. Generally, the MBEF approach overestimated forest biomass while the IPCC approach underestimated forest biomass for all forest types when CBEF derived biomass was used as a control. The MB approach provided the most similar biomass estimates for all forest types and could be an alternative approach when a CBEF equation is lacking in the study area. The total biomass derived from MBEF was highest at 1.44×107 t, followed by 1.32 ×107 t from CBEF, 1.31 ×107 t from NCBEF, 1.25 ×107 t from MB and 1.16 ×107 t from IPCC. Our results facilitate method selection for regional forest biomass estimation and provide statistical evidence for local government planning to enter the potential carbon market. Numéro de notice : A2016--095 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article En ligne : http://doi.org/10.15287/afr.2016.574 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84647
in Annals of forest research > vol 59 n° 2 (July - December 2016) . - pp 269 - 280[article]