Within-species benefits of back-projecting airborne laser scanner and multispectral sensors in monospecific pinus sylvestris forests
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In: European Journal of Remote Sensing, Vol. 46, No. 1, 2013, p. 491-509.
Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Within-species benefits of back-projecting airborne laser scanner and multispectral sensors in monospecific pinus sylvestris forests
AU - Valbuena, Rubén
AU - De-Blas, Alejandro
AU - Martín-Fernández, Susana
AU - Maltamo, Matti
AU - Nabuurs, Gert-Jan
AU - Manzanera, José Antonio
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Sensor data fusion
KW - Lidar
KW - stem density
KW - Stand Density Index
KW - Snag detection
KW - Forest Health
U2 - 10.5721/EuJRS20134629
DO - 10.5721/EuJRS20134629
M3 - Erthygl
VL - 46
SP - 491
EP - 509
JO - European Journal of Remote Sensing
JF - European Journal of Remote Sensing
IS - 1
ER -