Detection and correction of LiDAR raster data from the Italian national remote sensing programme and production of a suitable CHM to forest volume estimation in Calabria (southern Italy)
Detection and correction of LiDAR raster data from the Italian national remote sensing programme and production of a suitable CHM to forest volume estimation in Calabria (southern Italy). The AlForLab project, a Public-Private Laboratory which is part of the Cluster MEA (Materials Energy Environment...
Main Authors: | Floris A, Penasa A, Michelini T, Puletti N |
---|---|
Format: | Article |
Language: | Italian |
Published: |
Italian Society of Silviculture and Forest Ecology (SISEF)
2017-06-01
|
Series: | Forest@ |
Subjects: | |
Online Access: | http://foresta.sisef.org/contents/?id=efor2328-014&lang=en |
Similar Items
-
Models of stand volume and biomass estimation based on LiDAR data for the main forest types in Calabria (southern Italy)
by: Scrinzi G, et al.
Published: (2017-06-01) -
Mapping Forest Canopy Fuels in the Western United States with LiDAR–Landsat Covariance
by: Christopher J. Moran, et al.
Published: (2020-03-01) -
SRTM DEM Correction in Vegetated Mountain Areas through the Integration of Spaceborne LiDAR, Airborne LiDAR, and Optical Imagery
by: Yanjun Su, et al.
Published: (2015-09-01) -
Accuracy Assessment of Timber Volume Maps Using Forest Inventory Data and LiDAR Canopy Height Models
by: Andreas Hill, et al.
Published: (2014-09-01) -
Extraction of Mangrove Biophysical Parameters Using Airborne LiDAR
by: Poonsak Miphokasap, et al.
Published: (2013-04-01)