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  • Emre Akturk

    Visiting scientist

    534 John Kimbrough Blvd, WFES Building, Room 250, 2120 TAMU, College Station, TX 77843-2120, USA

LASERS LAB Alumni

Scientists:

Lonesome Malambo, Research Scientist, 2017-2024, now Texas A&M Forest Service

Post-doctoral advisees:

  • Dr. Lonesome Malambo, 2016-2017, Texas A&M Forest Service
  • Dr. Nian-Wei Ku, 2018-2021, now Scientist with NV5
  • Dr. Tan Zhou, 2018, now Data Scientist, Monsanto
  • Dr. Wasantha Ranjani Kulawardhana, 2014, now Associate Professor, Jackson State University
  • Dr. Kaiguang Zhao, now Associate Professor at Ohio State, 2009-2010
  • Dr. Muge Agca (Mutlu), now Professor, Aksaray University, Turkey, 2010-2011

Chair/co-chair* of Advisory Committees

NameDegree, Year of completionThesis/Dissertation TitlePost-graduation Position
Alicia Rutledge GriffinMS 2006Using LiDAR and normalized difference vegetation index to remotely determine LAI and percent canopy cover at varying scalesPh.D. student, Arizona State University
Muge MutluMS 2006Mapping surface fuels using LiDAR and multispectral data fusion for fire behavior modelingProfessor, Aksaray University, Turkey
Kaiguang ZhaoPh.D. 2008Development of an on-the-fly airborne profiling laser system and its application for real-time forest inventoryAssociate Professor, Ohio State University
Wesley Marcell*MS 2009Systematic sampling of scanning lidar swathsArcGIS Analyst, BNSF Railway
Jared StukeyMS 2010Deriving a framework for estimating individual tree measurements with lidar for use in the Tambeetle southern pine beetle infestation growth modelGIS Manager,
Houston oil and gas industry
Muge MutluPh.D. 2010Deriving canopy fuel parameters with in-situ and remote sensing dataAssistant Professor, Aksaray University, Turkey
Nian-Wei KuMS 2011Assessing Available Woody Plant Biomass On Rangelands With Lidar And Multispectral Remote SensingPh.D. student, TAMU
Ryan SheridanMS 2011Modeling Plot-Level Biomass and Volume Using Aerial and Terrestrial Lidar MeasurementsPh.D. student, TAMU
Ricky Charles VernorMNRD 2012Airborne Lidar for Modeling Tree Height Changes Using Multi-temporal DatasetsPilot, American Airlines
Cara Valinoti*Ph.D. 2013Quantification of Salt Marsh Carbon Stocks: Integration of Remote Sensing Data and Techniques with Field MeasurementsAssociate Professor,
Alabama A&M
Shruthi SrinivasanMS 2014Multi-temporal Terrestrial Lidar for Estimating Individual Tree Dimensions and Biomass ChangeGIS Developer, Texas A&M Forest Service
Matt Berg*Ph.D. 2014Integrating historical imagery and sediment radioisotopes to shed light on long-term rangeland dynamicsPostdoctoral Researcher, TAMU
Eric PutmanMS 2017Quantifying standing dead tree volume and structural loss with voxelized terrestrial lidar dataFugro, Inc.
Tan ZhouPh.D. 2017Advances in Waveform and Photon Counting Lidar Processing for Forest Vegetation ApplicationsData Scientist, Monsanto
Nian-wei (Tony) KuPh.D. 2018Integration of lidar remote sensing from multiple platforms to assess vegetation biophysical parametersScientist, NV5
Lana NarinePh.D. 2019Spaceborne Lidar for Estimating Forest Biophysical ParametersAssociate Professor, Auburn University
Meng LiuPh.D. 2022Feasibility of Burned Forest Classification and Biomass Burning Emission Estimation using ICESat-2 DataPostdoc, University of Utah
Jiyeon KimPh.D. 2023Impact of sea level rise and storm surges on Florida Key deer using lidar and multispectral remote sensing.Postdoc
Mackenzie NelsonMS 2023Investigating the Relationship Between Tree Competition, Tree Dimensions, and Leaf Area with Mobile LidarGIS, Dallas, TX
Marisa ColluraMS 2023Upscaling Tree water-use to transpiration using mobile & airborne lidar in East Texas PineywoodsUSDA Forest Service
Tyler LambMS 2023
Non-thesis
Geospatial Applications for Wetlands Mapping
Horia Olariu*PhD 2025Quantifying Tree Species Classification Accuracy, Land Cover Change, and Evapotranspiration Drivers in the Post Oak SavannahPostdoc, TAMU
Mei-Kuei LuPhD 2025Spaceborne LiDAR and Citizen Science For Characterizing Forest Canopy Height and Biomass with Machine Learning Methods