Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/35175
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dc.contributor.authorLee, Heezin-
dc.contributor.authorBlundell, S. Bruce-
dc.contributor.authorStarek, Michael J.-
dc.contributor.authorHarris, John G.-
dc.date.accessioned2020-01-15T14:32:33Z-
dc.date.available2020-01-15T14:32:33Z-
dc.date.issued2020-01-
dc.identifier.govdocERDC/GRL MP-20-1-
dc.identifier.urihttps://hdl.handle.net/11681/35175-
dc.identifier.urihttp://dx.doi.org/10.21079/11681/35175-
dc.descriptionMiscellaneous Paper-
dc.description.abstractPoint cloud data collected by small-footprint lidar scanning systems have proven effective in modeling the forest canopy for extraction of tree parameters. Although line-of-sight visibility (LOSV) in complex forests may be important for military planning and search-and-rescue operations, the ability to estimate LOSV from lidar scanners is not well-developed. A new estimator of below-canopy LOSV (BC-LOSV) by addressing the problem of estimation of lidar under-sampling of the forest understory is created. Airborne and terrestrial lidar scanning data were acquired for two forested sites in order to test a probabilistic model for BC-LOSV estimation solely from airborne lidar data. Individual crowns were segmented, and allometric projections of the probability model into the lower canopy and stem regions allowed the estimation of the likelihood of the presence of vision-blocking elements for any given LOSV vector. Using terrestrial lidar scans as ground truth, we found an approximate average absolute difference of 20% between BC-LOSV estimates from the airborne and terrestrial point clouds, with minimal bias for either over- or underestimates. The model shows the usefulness of a data-driven approach to BC-LOSV estimation that depends only on small-footprint airborne lidar point cloud and physical knowledge of tree phenology.en_US
dc.description.sponsorshipUnited States. Army Research Office.en_US
dc.description.tableofcontentsAbstract .......................................................................................................................................................... ii Figures and Tables ........................................................................................................................................ iv Preface ............................................................................................................................................................. v 1 Introduction ............................................................................................................................................ 1 2 Study Areas and Data Collection ....................................................................................................... 2 3 Methods .................................................................................................................................................. 4 3.1 Ground contribution to P(B) .......................................................................................... 4 3.2 Foliage contribution to P(B) ........................................................................................... 4 3.3 Tree stem contribution to P(B) ...................................................................................... 5 3.4 Calculation of BC-LOSV.................................................................................................. 6 4 Results and Discussion ........................................................................................................................ 8 5 Conclusion ............................................................................................................................................ 10 References ................................................................................................................................................... 11 Report Documentation Page-
dc.format.extent21 pages / 825.5 Kb-
dc.format.mediumPDF/A-
dc.language.isoen_USen_US
dc.publisherGeospatial Research Laboratory (U.S.)en_US
dc.publisherEngineer Research and Development Center (U.S.)-
dc.relation.ispartofseriesMiscellaneous Paper (Engineer Research and Development Center (U.S.)) ; no. ERDC/GRL MP-20-1-
dc.rightsApproved for Public Release; Distribution is Unlimited-
dc.sourceThis Digital Resource was created in Microsoft Word and Adobe Acrobat-
dc.subjectLidaren_US
dc.subjectOptical radaren_US
dc.subjectCanopy segmentationen_US
dc.subjectTree parametersen_US
dc.subjectLine-of-sight visibilityen_US
dc.titleAn airborne lidar point cloud-based below-canopy line-of-sight visibility estimatoren_US
dc.typeReporten_US
Appears in Collections:Miscellaneous Paper

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