期刊
EUROPEAN JOURNAL OF REMOTE SENSING
卷 46, 期 -, 页码 491-509出版社
TAYLOR & FRANCIS LTD
DOI: 10.5721/EuJRS20134629
关键词
Sensor data fusion; Lidar; stem density; Stand Density Index; Snag detection; Forest Health
资金
- Finnish Society of Forest Sciences
- Graduate School in Forest Sciences (GSForest)
- Metsahallitus (Finnish Forestry Commission)
- Foundation for European Forest Research (FEFR)
- Ministry of Science's Research and Development National Plan, Spain [AGL2009-08562]
Back-projecting is an alternative to orthorectification for ALS-imagery fusion. It usually assists in improving forest estimations in mixed forests, by adding species information from optical sensors. In this study, we focused on the within-species advantages obtained. Results showed that estimating relative stem density improved significantly (from R-2=0.76 to R-2=0.81), as the multispectral signal may incorporate canopy closure-related shadowing conditions at plot-level. As a result, volume prediction also improved (from R-2=0.65 to R-2=0.69), even though Lorey's height and basal area did not. Hence, monospecific conifer forests assessment may also benefit from ALS-imagery fusion.
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