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Titolo:
Measurement of oak tree density with Landsat TM data for estimating biogenic isoprene emissions in Tennessee, USA
Autore:
Baugh, W; Klinger, L; Guenther, A; Geron, C;
Indirizzi:
Natl Ctr Atmospher Res, Div Atmospher Chem, Boulder, CO 80307 USA Natl CtrAtmospher Res Boulder CO USA 80307 r Chem, Boulder, CO 80307 USA US EPA, Off Res & Dev, Natl Risk Management Res Lab, Res Triangle Pk, NC 27711 USA US EPA Res Triangle Pk NC USA 27711 es Lab, Res Triangle Pk, NC 27711 USA
Titolo Testata:
INTERNATIONAL JOURNAL OF REMOTE SENSING
fascicolo: 14, volume: 22, anno: 2001,
pagine: 2793 - 2810
SICI:
0143-1161(20010920)22:14<2793:MOOTDW>2.0.ZU;2-J
Fonte:
ISI
Lingua:
ENG
Soggetto:
ORGANIC-COMPOUND FLUXES; UNITED-STATES; INVENTORY; MODEL; ENCLOSURE;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Citazioni:
18
Recensione:
Indirizzi per estratti:
Indirizzo: Baugh, W Natl Ctr Atmospher Res, Div Atmospher Chem, POB 3000, Boulder, CO80307 USA Natl Ctr Atmospher Res POB 3000 Boulder CO USA 80307 CO 80307 USA
Citazione:
W. Baugh et al., "Measurement of oak tree density with Landsat TM data for estimating biogenic isoprene emissions in Tennessee, USA", INT J REMOT, 22(14), 2001, pp. 2793-2810

Abstract

Isoprene emissions from oak trees in the eastern USA play an important role in tropospheric ozone pollution. Oak trees (Quercus) emit an order of magnitude more isoprene than most other emitting tree species, and are by far the largest source of biogenic isoprene in the eastern US. We used Landsat TM data to measure oak tree abundance near Oak Ridge, Tennessee, to estimate fluxes of isoprene. The Landsat classification was performed using multi-date data, supervised classification techniques, and an iterative approach. Training sites were selected based on transect data, and ten vegetation classes were mapped. A supervised classification algorithm called the Spectral Angle Mapper was used to classify the data. Empirical vegetation emissiondata were used to estimate the isoprene flux from each of the vegetation classes. The resultant isoprene flux maps were compared with concentrations measured in the field, and a good correspondence was observed. We also compare the Landsat classification with three other landcover schemes includingthe USGS's Global Landcover Classification, which is based on AVHRR data. Results from these landcover classifications are used as input for models that predict tropospheric ozone production and are used to investigate ozonecontrol strategies.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 06/07/20 alle ore 05:18:25