{"id":{"repo_id":"houston","oai_identifier":"oai:uh-ir.tdl.org:10657/5332"},"canonical_url":"https://search.dev.ndltd.org/etd/houston/oai:uh-ir.tdl.org:10657/5332","repository":{"repo_id":"houston","name":"University of Houston","base_url":"https://uh-ir.tdl.org/server/oai/request"},"display":{"title":"Data Quality Analysis of the Leica SPL100 Airborne Single Photon Lidar Sensor","abstract":"Recently, Geiger-mode and single photon lidar sensors have emerged on the commercial market, advertising greater collection efficiency than traditional linear mode lidar systems. Non-linear photon detection is a new technology for the geospatial community, and its performance characteristics for surveying and mapping are not yet well understood. The goal of this thesis, therefore, is to examine the geospatial quality of the data produced by one of these new sensors, the Leica SPL100. The SPL100 was shown to have a lower ranging precision than linear lidar and that its precision is more negatively affected by surface properties such as low intensity, roughness, and slope. The accuracy of the SPL100, however, was found to be comparable to that produced by linear lidar for smooth horizontal surfaces. It was also observed that the post-processed SPL100 data has limited ability to resolve multiple returns through vegetation due to the current filtering algorithms employed.","abstract_html":"Recently, Geiger-mode and single photon lidar sensors have emerged on the commercial market, advertising greater collection efficiency than traditional linear mode lidar systems. Non-linear photon detection is a new technology for the geospatial community, and its performance characteristics for surveying and mapping are not yet well understood. The goal of this thesis, therefore, is to examine the geospatial quality of the data produced by one of these new sensors, the Leica SPL100. The SPL100 was shown to have a lower ranging precision than linear lidar and that its precision is more negatively affected by surface properties such as low intensity, roughness, and slope. The accuracy of the SPL100, however, was found to be comparable to that produced by linear lidar for smooth horizontal surfaces. It was also observed that the post-processed SPL100 data has limited ability to resolve multiple returns through vegetation due to the current filtering algorithms employed.","abstract_has_math":false,"creators":["Brown, Rebecca Allene"],"institution":"University of Houston","degree_name":"Master of Science","degree_level":"Masters","degree_discipline":"Geosensing Systems Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Glennie, Craig L."],"committee_chairs":[],"committee_members":["Hartzell, Preston J.","Lee, Hyongki","Pan, Zhigang"],"year":2019,"date_issued":"2019-08","date_published":"2019-08","updated_at":"2026-07-24T02:32:32Z","subjects":["LiDAR","Single photon LiDAR","Remote sensing"],"languages":["eng"],"rights":["The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s)."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10657/5332","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Glennie, Craig L."]},{"key":"dc:contributor.committeemember","label":"Committee Member","values":["Hartzell, Preston J.","Lee, Hyongki","Pan, Zhigang"]},{"key":"dc:creator","label":"Author","values":["Brown, Rebecca Allene"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2019-11-08T02:39:09Z"]},{"key":"dc:date.issued","label":"Date","values":["2019-08"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Geosensing Systems Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Houston"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["LiDAR","Single photon LiDAR","Remote sensing"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s)."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10657/5332"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Recently, Geiger-mode and single photon lidar sensors have emerged on the commercial market, advertising greater collection efficiency than traditional linear mode lidar systems. Non-linear photon detection is a new technology for the geospatial community, and its performance characteristics for surveying and mapping are not yet well understood. The goal of this thesis, therefore, is to examine the geospatial quality of the data produced by one of these new sensors, the Leica SPL100. The SPL100 was shown to have a lower ranging precision than linear lidar and that its precision is more negatively affected by surface properties such as low intensity, roughness, and slope. The accuracy of the SPL100, however, was found to be comparable to that produced by linear lidar for smooth horizontal surfaces. 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Non-linear photon detection is a new technology for the geospatial community, and its performance characteristics for surveying and mapping are not yet well understood. The goal of this thesis, therefore, is to examine the geospatial quality of the data produced by one of these new sensors, the Leica SPL100. The SPL100 was shown to have a lower ranging precision than linear lidar and that its precision is more negatively affected by surface properties such as low intensity, roughness, and slope. The accuracy of the SPL100, however, was found to be comparable to that produced by linear lidar for smooth horizontal surfaces. It was also observed that the post-processed SPL100 data has limited ability to resolve multiple returns through vegetation due to the current filtering algorithms employed."],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["https://hdl.handle.net/10657/5332"],"dc:language.iso":["eng"],"dc:rights":["The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s)."],"dc:subject":["LiDAR","Single photon LiDAR","Remote sensing"],"dc:title":["Data Quality Analysis of the Leica SPL100 Airborne Single Photon Lidar Sensor"],"thesis:degree_discipline":["Geosensing Systems Engineering"],"thesis:degree_level":["Masters"],"thesis:degree_name":["Master of Science"],"thesis:institution_name":["University of Houston"]},"updated_at":"2026-07-24T02:32:32Z"}