| Name : R-waveformlidar
| |
| Version : 1.2.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.4.12
| Date : 2024-06-14 12:03:20
|
| Group : Development/Libraries/Other
| Source RPM : R-waveformlidar-1.2.0-lp153.4.12.src.rpm
|
| Size : 3.38 MB
| |
| Packager : (none)
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| Summary : Waveform LiDAR Data Processing and Analysis
|
Description :
A wealth of Full Waveform (FW) Light Detection and Ranging (LiDAR) data
are available to the public from different sources, which is poised to
boost the extensive application of FW LiDAR data. However, we lack a
handy and open source tool that can be used by ecological and remote
sensing communities for processing and analyzing FW LiDAR data. To this
end, we introduce \'waveformlidar\', an R package dedicated to FW LiDAR
processing, analysis and visualization as a solution to the constraint.
Specifically, this package provides several commonly used waveform
processing methods such as Gaussian, adaptive Gaussian and Weibull
decompositions, and deconvolution approaches (Gold and Richard-Lucy
(RL)) with customized settings. In addition, we also develop some
functions to derive commonly used waveform metrics for characterizing
vegetation structure. Moreover, a new way to directly visualize FW
LiDAR data is developed through converting waveforms into points to
form the Hyper Point cloud (HPC), which can be easily adopted and
subsequently analyzed with existing discrete-return LiDAR processing
tools such as \'LAStools\' and \'FUSION\'. Basic explorations of the HPC
such as 3D voxelization of the HPC and conversion from original
waveforms to composite waveforms are also available in this package.
All of these functions are developed based on small-footprint FW LiDAR
data, but they can be easily transplanted to the large footprint FW
LiDAR data such as Geoscience Laser Altimeter System (GLAS) and Global
Ecosystem Dynamics Investigation (GEDI) data analysis. References: Zhou
et al. (2017a) < doi:10.1016/j.isprsjprs.2017.04.021> Zhou et al.
(2017b) < doi:10.1016/j.rse.2017.08.012> Zhou et al. (2018a)
< doi:10.3390/rs10010039>Zhou et al. (2018b) < doi:10.3390/rs10121949>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
