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Comparison of Resourcesat-1 AWiFS and SPOT-5 data over managed boreal forest stands

Reese, Heather and Nilsson, Mats and Olsson, Håkan (2009). Comparison of Resourcesat-1 AWiFS and SPOT-5 data over managed boreal forest stands. International journal of remote sensing. 30:19, 4957-4978
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Official URL: http://dx.doi.org/10.1080/01431160903022985

Abstract

In this study, the utility of AWiFS data in relation to stem volume estimation for managed boreal forest stands was investigated. Multiple linear regressions were used to predict stem volume (m3ha-1) with standwise mean spectral values as the independent variables. For comparison, two SPOT-5 images were also used, one with nearly simultaneous acquisition. The adjusted coefficient of determination (R2adj) using AWiFS data to predict stem volume was 0.573 (SE 56.9%) while SPOT had an R2adj of 0.598 (SE 55.2%). All bands were negatively correlated, with the SWIR band having the single strongest correlation with stem volume. The best two band predictor of stem volume was the NIR and red band for AWiFS, and the NIR and SWIR bands for SPOT. When stem volume was predicted based on stand size, AWiFS and SPOT produced an R2adj of 0.310 and 0.293, respectively, for stands less than 2 ha in size. A steady increase of predictive ability appeared to increase with stand size, with the highest R2adj at 20 ha (R2adj = 0.677 AWiFS, R2adj = 0.692 SPOT). For stands 20 ha and larger, the correlation between stem volume and NIR reflectance increased while decreasing for the visible bands. The explanation behind the trends observed may be due to the management practices in the area. Discriminant analysis of basic forest types showed similar results for AWiFS (65.6% correct) and SPOT (66.4% correct).

Authors/Creators:Reese, Heather and Nilsson, Mats and Olsson, Håkan
Title:Comparison of Resourcesat-1 AWiFS and SPOT-5 data over managed boreal forest stands
Series/Journal:International journal of remote sensing (1366-5901)
Year of publishing :2009
Volume:30
Number:19
Page range:4957-4978
Publisher:Taylor & Frances
ISSN:1366-5901
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Accepted version
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 105 Earth and Related Environmental Sciences > Other Earth and Related Environmental Sciences
(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 207 Environmental Engineering > Remote Sensing
Keywords:AWiFS, stem volume, regression
URN:NBN:urn:nbn:se:slu:epsilon-e-244
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-244
Additional ID:
Type of IDID
DOI10.1080/01431160903022985
ID Code:8351
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: Heather Reese
Deposited On:01 Nov 2011 14:02
Metadata Last Modified:02 Dec 2014 10:47

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