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DOI

  • Rubén Valbuena
    European Forest Institute HQ
  • Alejandro De-Blas
  • Susana Martín-Fernández
  • Matti Maltamo
  • Gert-Jan Nabuurs
  • José Antonio Manzanera
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.

Keywords

  • Sensor data fusion, Lidar, stem density, Stand Density Index, Snag detection, Forest Health
Original languageUnknown
Pages (from-to)491-509
Number of pages19
JournalEuropean Journal of Remote Sensing
Volume46
Issue number1
DOIs
Publication statusPublished - 2013
Externally publishedYes
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