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Titolo:
Obtaining volume estimates from CASI images of a thinning and fertilization trial
Autore:
Magnussen, S; Boudewyn, P;
Indirizzi:
Canadian Forestry Serv, Pacific Forestry Ctr, Victoria, BC V8Z 1M5, CanadaCanadian Forestry Serv Victoria BC Canada V8Z 1M5 ria, BC V8Z 1M5, Canada
Titolo Testata:
AUTOMATED INTERPRETATION OF HIGH SPATIAL RESOLUTION DIGITAL IMAGERY FOR FORESTRY, INTERNATIONAL FORUM
, , anno: 1999,
pagine: 297 - 308
Fonte:
ISI
Lingua:
ENG
Soggetto:
SPATIAL-DISTRIBUTION; STAND VOLUME; LEAF-AREA; FOREST; RESOLUTION; MODELS; HETEROGENEITY; PLANTATIONS; VEGETATION; FOLIAGE;
Keywords:
CASI; volume; Douglas-fir; NDVI; LAI; spatial correlation; wavelet analysis;
Tipo documento:
Article
Natura:
Monografia
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Citazioni:
48
Recensione:
Indirizzi per estratti:
Indirizzo: Magnussen, S Canadian Forestry Serv, Pacific Forestry Ctr, 506 W Burnside Rd, Victoria,BC V8Z 1M5, Canada Canadian Forestry Serv 506 W Burnside Rd Victoria BC Canada V8Z 1M5
Citazione:
S. Magnussen e P. Boudewyn, "Obtaining volume estimates from CASI images of a thinning and fertilization trial", AUTOMATED INTERPRETATION OF HIGH SPATIAL RESOLUTION DIGITAL IMAGERY FOR FORESTRY, INTERNATIONAL FORUM, 1999, pp. 297-308

Abstract

The potential for estimating per hectare values of total stem volume from CASI images (pixel size similar to 60 x 60 cm) taken over a 49 year old thinning and fertilization trial with Douglas-fir at Shawnigan Lake, VancouverIsland, British Columbia was explored. Canopy structures, stem densities and volumes varied considerably among 42 square 20m trial plots which made the site ideal for testing the assumption that volume could be predicted from a vegetation index (NDVI) and the "uniformity" of the image as portrayed through spatial autocorrelations and variances of pixel values. A combination of NDVI, variances, and coefficients of spatial autocorrelation were used as predictors of plot total stem volume per hectare. Results were encouraging, the coefficient of determination was 0.60 and the mean standard errorof prediction was 10%. Wavelet analyses did not suggest any tangible improvement in the predictions.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 04/12/20 alle ore 09:50:21