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Assessment of boreal forest height from WorldView-2 satellite stereo images

Persson, Henrik and Perko, Roland (2016). Assessment of boreal forest height from WorldView-2 satellite stereo images. Remote sensing letters. 7 :12 , 1150-1159
[Research article]

[img] PDF - Accepted Version

Official URL: http://dx.doi.org/10.1080/2150704X.2016.1219424


WorldView-2 (WV2) satellite stereo images were used to derive a digital surface model, which together with a high-resolution digital terrain model from airborne laser scanning (ALS) were used to estimate forest height. Lorey's mean height (H-L) could be estimated with a root mean square error of 1.5 m (8.3%) and 1.4 m (10.4%), using linear regression, at the two Swedish test sites Remningstorp (Lat. 58 degrees 30'N, Long. 13 degrees 40'E) and Krycklan (Lat. 64 degrees 16'N, Long. 19 degrees 46'E), which contain hemi-boreal and boreal forest. The correlation coefficients were r = 0.94 and r = 0.91, respectively. The 10 m sample plots were 175 in Remningstorp and 282 in Krycklan. It was furthermore found that WV2 data are sometimes unstable for canopy top height estimations (ALS height percentile 100, p100) and that the reconstructed heights are generally located below the actual top height. The WV2 p60 was found to correlate best with ALS p70 in Remningstorp, while WV2 p95 was found to correlate best with ALS p70 in Krycklan, and it moreover reached the highest correlation for all other estimated variables, at both test sites. It was concluded that WV2 p95 height data overall represent approximately the forest height ALS p70. The overall high correlation coefficients above 0.90 at both test sites, with different forest conditions, indicate that stereo matching of WV2 satellite images is suitable for forest height mapping.

Authors/Creators:Persson, Henrik and Perko, Roland
Title:Assessment of boreal forest height from WorldView-2 satellite stereo images
Series Name/Journal:Remote sensing letters
Year of publishing :2016
Page range:1150-1159
Number of Pages:10
Publisher:Taylor & Francis
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Accepted version
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 207 Environmental Engineering > Remote Sensing
(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
Agrovoc terms:forestry, remote sensing
Keywords:forestry, canopy height, photogrammetry, satellite observations
Permanent URL:
Additional ID:
Type of IDID
Web of Science (WoS)000383873900005
ID Code:13752
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: SLUpub Connector
Deposited On:22 Nov 2016 10:46
Metadata Last Modified:09 Sep 2020 14:17

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