Journal
SCANDINAVIAN JOURNAL OF FOREST RESEARCH
Volume 31, Issue 2, Pages 194-205Publisher
TAYLOR & FRANCIS AS
DOI: 10.1080/02827581.2015.1060256
Keywords
time series; image matching; forestry; photogrammetry; lidar; forest management
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Funding
- Academy of Finland (Centre of Excellence in Laser Scanning Research (CoE-LaSR)) [273806]
- Finnish Ministry of Agriculture and Forestry [350/311/2012]
- Canadian Wood Fibre Centre (CWFC) of the Canadian Forest Service
- Natural Resources Canada
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In this research, we developed and tested a remote sensing-based approach for stand age estimation. The approach is based on changes in the forest canopy height measured from a time series of photo-based digital surface models that were normalized to canopy height models using an airborne laser scanning derived digital terrain model (DTM). Representing the Karelian countryside, Finland, CHMs from 1944, 1959, 1965, 1977, 1983, 1991, 2003, and 2012 were generated and allow for characterization of forest structure over a 68-year period. To validate our method, we measured stand age from 90 plots (1256m(2)) in 2014, whereby producer's accuracy ranged from 25.0% to 100.0% and user's accuracy from 16.7% to 100.0%. The wide range of accuracy found is largely attributable to the quality and characteristics of archival images and intrastand variation in stand age. The lowest classification accuracies were obtained for the images representing the earliest dates. For forest managers and agencies that have access to long-term photo archives and a detailed DTM, the estimation of stand age can be performed, improving the quality and completeness of forest inventory databases.
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