{"id":"https://openalex.org/W2943277587","doi":"https://doi.org/10.3390/rs11212552","title":"waveformlidar: An R Package for Waveform LiDAR Processing and Analysis","display_name":"waveformlidar: An R Package for Waveform LiDAR Processing and Analysis","publication_year":2019,"publication_date":"2019-10-30","ids":{"openalex":"https://openalex.org/W2943277587","doi":"https://doi.org/10.3390/rs11212552","mag":"2943277587"},"language":"en","primary_location":{"id":"doi:10.3390/rs11212552","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11212552","pdf_url":"https://www.mdpi.com/2072-4292/11/21/2552/pdf?version=1572431921","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/11/21/2552/pdf?version=1572431921","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011279552","display_name":"Tan Zhou","orcid":"https://orcid.org/0000-0002-9193-5113"},"institutions":[{"id":"https://openalex.org/I173210334","display_name":"Newberry College","ror":"https://ror.org/0577pn814","country_code":"US","type":"education","lineage":["https://openalex.org/I173210334"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tan Zhou","raw_affiliation_strings":["Colaberry Inc., 200 Portland St, Boston, MA 02114, USA","LiDAR Applications for the Study of Ecosystems with Remote Sensing (LASERS) Laboratory, Department of Ecosystem Science and Management, Texas A&M University, College Station, TX 77450, USA"],"affiliations":[{"raw_affiliation_string":"Colaberry Inc., 200 Portland St, Boston, MA 02114, USA","institution_ids":["https://openalex.org/I173210334"]},{"raw_affiliation_string":"LiDAR Applications for the Study of Ecosystems with Remote Sensing (LASERS) Laboratory, Department of Ecosystem Science and Management, Texas A&M University, College Station, TX 77450, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015263215","display_name":"Sorin Popescu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sorin Popescu","raw_affiliation_strings":["LiDAR Applications for the Study of Ecosystems with Remote Sensing (LASERS) Laboratory, Department of Ecosystem Science and Management, Texas A&M University, College Station, TX 77450, USA"],"affiliations":[{"raw_affiliation_string":"LiDAR Applications for the Study of Ecosystems with Remote Sensing (LASERS) Laboratory, Department of Ecosystem Science and Management, Texas A&M University, College Station, TX 77450, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011279552"],"corresponding_institution_ids":["https://openalex.org/I173210334"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.8009,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.69601105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"11","issue":"21","first_page":"2552","last_page":"2552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11880","display_name":"Forest ecology and management","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.949843168258667},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6777468919754028},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.6426449418067932},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6062605381011963},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.539466381072998},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5322118997573853},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.43463751673698425},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.43200910091400146},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2228403389453888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15697193145751953},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.09523296356201172},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.09209814667701721},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07911941409111023}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.949843168258667},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6777468919754028},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.6426449418067932},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6062605381011963},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.539466381072998},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5322118997573853},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.43463751673698425},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.43200910091400146},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2228403389453888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15697193145751953},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.09523296356201172},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.09209814667701721},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07911941409111023},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs11212552","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11212552","pdf_url":"https://www.mdpi.com/2072-4292/11/21/2552/pdf?version=1572431921","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1a98c0cba3554f339489f8d8ac01b5e2","is_oa":true,"landing_page_url":"https://doaj.org/article/1a98c0cba3554f339489f8d8ac01b5e2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 11, Iss 21, p 2552 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/11/21/2552/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs11212552","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 11; Issue 21; Pages: 2552","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs11212552","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs11212552","pdf_url":"https://www.mdpi.com/2072-4292/11/21/2552/pdf?version=1572431921","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6000000238418579,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G1956469828","display_name":null,"funder_award_id":"ICESat-2","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"},{"id":"https://openalex.org/G6198609333","display_name":"DISSERTATION RESEARCH:  Biomass estimation and uncertainty analysis: Integrating Bayesian modeling and small-footprint waveform LiDAR data","funder_award_id":"1702008","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8504834219","display_name":null,"funder_award_id":"NNX15AD02G","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2943277587.pdf","grobid_xml":"https://content.openalex.org/works/W2943277587.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1980403882","https://openalex.org/W1987797589","https://openalex.org/W1990077509","https://openalex.org/W2030066785","https://openalex.org/W2030337367","https://openalex.org/W2065255726","https://openalex.org/W2094605604","https://openalex.org/W2107053554","https://openalex.org/W2109455829","https://openalex.org/W2613353824","https://openalex.org/W2744900877","https://openalex.org/W2778927303","https://openalex.org/W2899568884","https://openalex.org/W3126063302","https://openalex.org/W6676256147"],"related_works":["https://openalex.org/W2783354812","https://openalex.org/W4384112194","https://openalex.org/W2103009189","https://openalex.org/W4312958259","https://openalex.org/W4308259661","https://openalex.org/W2594043982","https://openalex.org/W3036493597","https://openalex.org/W4293094720","https://openalex.org/W2739701376","https://openalex.org/W1969266378"],"abstract_inverted_index":{"A":[0],"wealth":[1],"of":[2,27,167,174,192,242],"Full":[3],"Waveform":[4],"(FW)":[5],"LiDAR":[6,29,52,66,130,157,201,214,244],"(Light":[7],"Detection":[8],"and":[9,36,49,69,92,95,99,151,163,177,223,245,252],"Ranging)":[10],"data":[11,131,202,215,229],"are":[12,185,195],"available":[13,187],"to":[14,23,64,74,112,126,139,182,209],"the":[15,75,141,168,175,210,239],"public":[16],"from":[17,179],"different":[18],"sources,":[19],"which":[20,146],"is":[21,132,232],"poised":[22],"boost":[24],"extensive":[25],"applications":[26],"FW":[28,51,65,129,200,213,243],"data.":[30,53],"However,":[31],"we":[32,57,108],"lack":[33],"a":[34,72,123],"handy":[35],"open":[37],"source":[38],"tool":[39],"that":[40,234],"can":[41,147,205],"be":[42,148,206,246],"used":[43,83,115],"by":[44,134],"potential":[45],"users":[46],"for":[47,118,248],"processing":[48,85,158],"analyzing":[50],"To":[54],"this":[55,78,189],"end,":[56],"introduce":[58],"waveformlidar,":[59],"an":[60],"R":[61],"package":[62,79],"dedicated":[63],"processing,":[67],"analysis":[68],"visualization":[70],"as":[71,88,161,171,217],"solution":[73],"constraint.":[76],"Specifically,":[77],"provides":[80],"several":[81],"commonly":[82,114],"waveform":[84,116],"methods":[86],"such":[87,160,170,216],"Gaussian,":[89],"Adaptive":[90],"Gaussian":[91],"Weibull":[93],"decompositions":[94],"deconvolution":[96],"approaches":[97],"(Gold":[98],"Richard-Lucy":[100],"(RL))":[101],"with":[102,154],"users\u2019":[103],"customized":[104],"settings.":[105],"In":[106],"addition,":[107],"also":[109,186],"developed":[110,133,196],"functions":[111,194,236],"derive":[113],"metrics":[117],"characterizing":[119,253],"vegetation":[120,254],"structure.":[121],"Moreover,":[122],"new":[124],"way":[125],"directly":[127],"visualize":[128],"converting":[135],"waveforms":[136,181,184],"into":[137],"points":[138],"form":[140],"Hyper":[142],"Point":[143],"Cloud":[144],"(HPC),":[145],"easily":[149,207],"adopted":[150],"subsequently":[152],"analyzed":[153],"existing":[155],"discrete-return":[156],"tools":[159],"LAStools":[162],"FUSION.":[164],"Basic":[165],"explorations":[166],"HPC":[169,176],"3D":[172],"voxelization":[173],"conversion":[178],"original":[180],"composite":[183],"in":[188],"package.":[190],"All":[191],"these":[193,235],"based":[197],"on":[198],"small-footprint":[199],"but":[203],"they":[204],"transplanted":[208],"large":[211],"footprint":[212],"Geoscience":[218],"Laser":[219],"Altimeter":[220],"System":[221],"(GLAS)":[222],"Global":[224],"Ecosystem":[225],"Dynamics":[226],"Investigation":[227],"(GEDI)":[228],"analysis.":[230],"It":[231],"anticipated":[233],"will":[237],"facilitate":[238],"widespread":[240],"use":[241],"beneficial":[247],"better":[249],"estimating":[250],"biomass":[251],"structure":[255],"at":[256],"various":[257],"scales.":[258]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}