Generalized 3D fragmentation index derived from lidar point clouds
Abstract Background Point clouds with increased point densities create new opportunities for analyzing landscape structure in 3D space. Taking advantage of these dense point clouds we have extended a 2D forest fragmentation index developed for regional scale analyses into a 3D index for analyzing ve...
Main Authors: | Vaclav Petras, Douglas J. Newcomb, Helena Mitasova |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2017-04-01
|
Series: | Open Geospatial Data, Software and Standards |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s40965-017-0021-8 |
Similar Items
-
Using Raster Based Solutions to Identify Spatial Economic Agglomerations
by: Marian DARDALA, et al.
Published: (2013-01-01) -
Rasterization Method for Voxel Model Cutting
by: Ivan A. Dychka, et al.
Published: (2018-06-01) -
Detection and classification of changes in buildings by direct comparison of multi-temporal LIDAR Systems data
by: Johanna Beatríz Prieto Garzón, et al.
Published: (2019-04-01) -
A raster Voronoi diagram generation algorithm based on horizontal-longitudinal scanning
by: LIU Qingping, et al.
Published: (2019-03-01) -
The Effects of Land Use and Land Cover Geoinformation Raster Generalization in the Analysis of LUCC in Portugal
by: Bruno M. Meneses, et al.
Published: (2018-09-01)