spanner - Utilities to Support Lidar Applications at the Landscape, Forest, and Tree Scale
Implements algorithms for terrestrial, mobile, and airborne lidar processing, tree detection, segmentation, and attribute estimation (Donager et al., 2021) <doi:10.3390/rs13122297>, and a hierarchical patch delineation algorithm 'PatchMorph' (Girvetz & Greco, 2007) <doi:10.1007/s10980-007-9104-8>. Tree detection uses rasterized point cloud metrics (relative neighborhood density and verticality) combined with RANSAC cylinder fitting to locate tree boles and estimate diameter at breast height. Tree segmentation applies graph-theory approaches inspired by Tao et al. (2015) <doi:10.1016/j.isprsjprs.2015.08.007> with cylinder fitting methods from de Conto et al. (2017) <doi:10.1016/j.compag.2017.07.019>. PatchMorph delineates habitat patches across spatial scales using organism-specific thresholds. Built on 'lidR' (Roussel et al., 2020) <doi:10.1016/j.rse.2020.112061>.
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data-visualizationecologyforest-analysislandscape-ecologylidarmodelingpatchespoint-cloudrcpprcpparmadilloremote-sensingspatial-analysistree-segmentationopenblascppopenmp
6.28 score 35 stars 1 dependents 3 scripts 499 downloadsvostokR - Solar Potential Calculation for Point Clouds using 'VOSTOK'
Calculate solar potential for LiDAR point clouds using the 'VOSTOK' (Voxel Octree Solar Toolkit) algorithm. This R program provides an interface to the original 'VOSTOK' C++ implementation by Bechtold and Hofle (2020), enabling efficient ray casting and solar position algorithms to compute solar irradiance for each point while accounting for shadowing effects. Integrates seamlessly with the 'lidR' package for LiDAR data processing workflows. The original 'VOSTOK' toolkit is available at <doi:10.11588/data/QNA02B>.
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data-visualizationsecologylidarraycastingremote-sensingsolar-potentialsolar-radiationspatial-analysisvostokvoxel-octreecppopenmp
4.86 score 11 stars 11 scripts 494 downloads