文章基本信息

标题：Within-Species Benefits of Back-projecting Airborne Laser Scanner and Multispectral Sensors in Monospecific Pinus sylvestris Forests
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作者：Rubén Valbuena ; Alejandro De-Blas ; Susana Martín-Fernádez 等
期刊名称：European Journal of Remote Sensing
电子版ISSN：2279-7254
出版年度：2013
卷号：46
期号：1
页码：491-509
DOI：10.5721/EuJRS20134629
摘要：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.
关键词：Sensor data fusion ; Lidar ; stem density ; Stand Density Index ; Snag detection ; Forest Health