Abstract
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 R2=0.76 to R2=0.81), as the multispectral signal may incorporate canopy closure-related shadowing conditions at plot-level. As a result, volume prediction also improved (from R2=0.65 to R2=0.69), even though Lorey’s height and basal area did not. Hence, monospecific conifer forests assessment may also benefit from ALS-imagery fusion.
| Original language | Unknown |
|---|---|
| Pages (from-to) | 491-509 |
| Number of pages | 19 |
| Journal | European Journal of Remote Sensing |
| Volume | 46 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
Keywords
- Sensor data fusion
- Lidar
- stem density
- Stand Density Index
- Snag detection
- Forest Health
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