Register      Login
International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire

Articles citing this paper

Ground-based LIDAR: a novel approach to quantify fine-scale fuelbed characteristics

E. Louise Loudermilk A G , J. Kevin Hiers B , Joseph J. O’Brien C , Robert J. Mitchell B , Abhinav Singhania D , Juan C. Fernandez D , Wendell P. Cropper Jr. E and K. Clint Slatton F
+ Author Affiliations
- Author Affiliations

A School of Natural Resources and Environment, University of Florida, PO Box 110410, Gainesville, FL 32611, USA.

B Joseph W. Jones Ecological Research Center at Ichauway, Route 2, Box 2324, Newton, GA 39870, USA.

C USDA Forest Service, Forestry Sciences Laboratory, 320 Green Street, Athens, GA 30602, USA.

D Geosensing Engineering and Mapping Center, University of Florida, PO Box 116580, Gainesville, FL 32611, USA.

E School of Forest Resources and Conservation, University of Florida, PO Box 110410, Gainesville, FL 32611, USA.

F Department of Civil and Coastal Engineering and Department of Electrical and Computer Engineering, University of Florida, PO Box 116580, Gainesville, FL 32611, USA.

G Corresponding author. Email: louisel@ufl.edu

International Journal of Wildland Fire 18(6) 676-685 https://doi.org/10.1071/WF07138
Submitted: 22 September 2007  Accepted: 11 November 2008   Published: 22 September 2009



100 articles found in Crossref database.

Terrestrial laser scanning in forest ecology: Expanding the horizon
Calders Kim, Adams Jennifer, Armston John, Bartholomeus Harm, Bauwens Sebastien, Bentley Lisa Patrick, Chave Jerome, Danson F. Mark, Demol Miro, Disney Mathias, Gaulton Rachel, Krishna Moorthy Sruthi M., Levick Shaun R., Saarinen Ninni, Schaaf Crystal, Stovall Atticus, Terryn Louise, Wilkes Phil, Verbeeck Hans
Remote Sensing of Environment. 2020 251 p.112102
New Structural Complexity Metrics for Forests from Single Terrestrial Lidar Scans
Batchelor Jonathan L., Wilson Todd M., Olsen Michael J., Ripple William J.
Remote Sensing. 2022 15(1). p.145
A comparison of terrestrial and UAS sensors for measuring fuel hazard in a dry sclerophyll forest
Hillman Samuel, Wallace Luke, Lucieer Arko, Reinke Karin, Turner Darren, Jones Simon
International Journal of Applied Earth Observation and Geoinformation. 2021 95 p.102261
Using multiplatform LiDAR to identify relationships between vegetation structure and the abundance and diversity of woodland reptiles and amphibians
Shokirov Shukhrat, Jucker Tommaso, Levick Shaun R., Manning Adrian D., Youngentob Kara N.
Remote Sensing in Ecology and Conservation. 2024
Strata-based forest fuel classification for wild fire hazard assessment using terrestrial LiDAR
Chen Yang, Zhu Xuan, Yebra Marta, Harris Sarah, Tapper Nigel
Journal of Applied Remote Sensing. 2016 10(4). p.046025
Using Simulated 3D Surface Fuelbeds and Terrestrial Laser Scan Data to Develop Inputs to Fire Behavior Models
Rowell Eric, Loudermilk E. Louise, Seielstad Carl, O’Brien Joseph J.
Canadian Journal of Remote Sensing. 2016 42(5). p.443
Linking complex forest fuel structure and fire behaviour at fine scales
Loudermilk E. Louise, O'Brien Joseph J., Mitchell Robert J., Cropper Wendell P., Hiers J. Kevin, Grunwald Sabine, Grego John, Fernandez-Diaz Juan C.
International Journal of Wildland Fire. 2012 21(7). p.882
Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires (2020)
Keane Robert E.
LiDAR Utility for Natural Resource Managers
Hudak Andrew Thomas, Evans Jeffrey Scott, Stuart Smith Alistair Matthew
Remote Sensing. 2009 1(4). p.934
Estimation of Total Biomass in Aleppo Pine Forest Stands Applying Parametric and Nonparametric Methods to Low-Density Airborne Laser Scanning Data
Domingo Darío, Lamelas María, Montealegre Antonio, García-Martín Alberto, De la Riva Juan
Forests. 2018 9(4). p.158
A Method for Validating the Structural Completeness of Understory Vegetation Models Captured with 3D Remote Sensing
Hillman Samuel, Wallace Luke, Reinke Karin, Hally Bryan, Jones Simon, Saldias Daisy S.
Remote Sensing. 2019 11(18). p.2118
Portable and Airborne Small Footprint LiDAR: Forest Canopy Structure Estimation of Fire Managed Plots
Listopad Claudia M.C.S., Drake Jason B., Masters Ron. E., Weishampel John F.
Remote Sensing. 2011 3(7). p.1284
Three-dimensional forest reconstruction and structural parameter retrievals using a terrestrial full-waveform lidar instrument (Echidna®)
Yang Xiaoyuan, Strahler Alan H., Schaaf Crystal B., Jupp David L.B., Yao Tian, Zhao Feng, Wang Zhuosen, Culvenor Darius S., Newnham Glenn J., Lovell Jenny L., Dubayah Ralph O., Woodcock Curtis E., Ni-Meister Wenge
Remote Sensing of Environment. 2013 135 p.36
Towards Spatially Explicit Quantification of Pre- and Postfire Fuels and Fuel Consumption from Traditional and Point Cloud Measurements
Hudak Andrew T, Kato Akira, Bright Benjamin C, Loudermilk E Louise, Hawley Christie, Restaino Joseph C, Ottmar Roger D, Prata Gabriel A, Cabo Carlos, Prichard Susan J, Rowell Eric M, Weise David R
Forest Science. 2020 66(4). p.428
Applications of airborne lidar for the assessment of animal species diversity
Simonson William D., Allen Harriet D., Coomes David A., Tatem Andrew
Methods in Ecology and Evolution. 2014 5(8). p.719
Characterizing subcanopy structure of Mediterranean forests by terrestrial laser scanning data
Puletti Nicola, Galluzzi Marta, Grotti Mirko, Ferrara Carlotta
Remote Sensing Applications: Society and Environment. 2021 24 p.100620
Non‐destructive estimation of above‐ground surface and near‐surface biomass using 3D terrestrial remote sensing techniques
Wallace Luke, Hillman Samuel, Reinke Karin, Hally Bryan, Kriticos Darren
Methods in Ecology and Evolution. 2017 8(11). p.1607
Mapping Forest Structure and Composition from Low-Density LiDAR for Informed Forest, Fuel, and Fire Management at Eglin Air Force Base, Florida, USA
Hudak Andrew T., Bright Benjamin C., Pokswinski Scott M., Loudermilk E. Louise, O’Brien Joseph J., Hornsby Benjamin S., Klauberg Carine, Silva Carlos A.
Canadian Journal of Remote Sensing. 2016 42(5). p.411
Prescribed fire science: the case for a refined research agenda
Hiers J. Kevin, O’Brien Joseph J., Varner J. Morgan, Butler Bret W., Dickinson Matthew, Furman James, Gallagher Michael, Godwin David, Goodrick Scott L., Hood Sharon M., Hudak Andrew, Kobziar Leda N., Linn Rodman, Loudermilk E. Louise, McCaffrey Sarah, Robertson Kevin, Rowell Eric M., Skowronski Nicholas, Watts Adam C., Yedinak Kara M.
Fire Ecology. 2020 16(1).
Pole Like Object Detection using PCA inTerrestrial LiDAR System
Agarwal P, Husain A, Ranjan RK
Journal of Physics: Conference Series. 2021 2089(1). p.012004
Terrestrial Laser Scanning for Vegetation Sampling
Richardson Jeffrey, Moskal L., Bakker Jonathan
Sensors. 2014 14(11). p.20304
Coupling terrestrial laser scanning with 3D fuel biomass sampling for advancing wildland fuels characterization
Rowell Eric, Loudermilk E. Louise, Hawley Christie, Pokswinski Scott, Seielstad Carl, Queen LLoyd, O'Brien Joseph J., Hudak Andrew T., Goodrick Scott, Hiers J. Kevin
Forest Ecology and Management. 2020 462 p.117945
Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires (2019)
Keane Robert E.
Estimating Fuel Loads and Structural Characteristics of Shrub Communities by Using Terrestrial Laser Scanning
Alonso-Rego Cecilia, Arellano-Pérez Stéfano, Cabo Carlos, Ordoñez Celestino, Álvarez-González Juan Gabriel, Díaz-Varela Ramón Alberto, Ruiz-González Ana Daría
Remote Sensing. 2020 12(22). p.3704
Fire Science (2021)
Castro Rego Francisco, Morgan Penelope, Fernandes Paulo, Hoffman Chad
Ecological Restoration and Management of Longleaf Pine Forests (2017)
Laser-Based Field Measurement for a Bridge Finite-Element Model Validation
Dai Kaoshan, Boyajian David, Liu Wanqiu, Chen Shen-En, Scott Jeremy, Schmieder Marcus
Journal of Performance of Constructed Facilities. 2014 28(5).
Application of lidar to assess the habitat selection of an endangered small mammal in an estuarine wetland environment
Hagani Jason S., Takekawa John Y., Skalos Shannon M., Casazza Michael L., Riley Melissa K., Estrella Sarah A., Barthman‐Thompson Laureen M., Smith Katie R., Buffington Kevin J., Thorne Karen M.
Ecology and Evolution. 2024 14(2).
Effects of overstory composition and prescribed fire on fuel loading across a heterogeneous managed landscape in the southeastern USA
Parresol Bernard R., Blake John I., Thompson Andrew J.
Forest Ecology and Management. 2012 273 p.29
Methodological considerations of terrestrial laser scanning for vegetation monitoring in the sagebrush steppe
Anderson Kyle E., Glenn Nancy F., Spaete Lucas P., Shinneman Douglas J., Pilliod David S., Arkle Robert S., McIlroy Susan K., Derryberry DeWayne R.
Environmental Monitoring and Assessment. 2017 189(11).
Aboveground total and green biomass of dryland shrub derived from terrestrial laser scanning
Olsoy Peter J., Glenn Nancy F., Clark Patrick E., Derryberry DeWayne R.
ISPRS Journal of Photogrammetry and Remote Sensing. 2014 88 p.166
Deriving Fire Behavior Metrics from UAS Imagery
Moran Christopher J., Seielstad Carl A., Cunningham Matthew R., Hoff Valentijn, Parsons Russell A., Queen LLoyd, Sauerbrey Katie, Wallace Tim
Fire. 2019 2(2). p.36
Wildland Fire Smoke in the United States (2022)
Prichard Susan J., Rowell Eric M., Hudak Andrew T., Keane Robert E., Loudermilk E. Louise, Lutes Duncan C., Ottmar Roger D., Chappell Linda M., Hall John A., Hornsby Benjamin S.
Estimation of shrub biomass by airborne LiDAR data in small forest stands
Estornell J., Ruiz L.A., Velázquez-Martí B., Fernández-Sarría A.
Forest Ecology and Management. 2011 262(9). p.1697
The Fire and Smoke Model Evaluation Experiment—A Plan for Integrated, Large Fire–Atmosphere Field Campaigns
Prichard Susan, Larkin N. Sim, Ottmar Roger, French Nancy H.F., Baker Kirk, Brown Tim, Clements Craig, Dickinson Matt, Hudak Andrew, Kochanski Adam, Linn Rod, Liu Yongqiang, Potter Brian, Mell William, Tanzer Danielle, Urbanski Shawn, Watts Adam
Atmosphere. 2019 10(2). p.66
Multi-temporal terrestrial laser scanning for modeling tree biomass change
Srinivasan Shruthi, Popescu Sorin C., Eriksson Marian, Sheridan Ryan D., Ku Nian-Wei
Forest Ecology and Management. 2014 318 p.304
An automated method to quantify crop height and calibrate satellite-derived biomass using hypertemporal lidar
Eitel Jan U.H., Magney Troy S., Vierling Lee A., Greaves Heather E., Zheng Guang
Remote Sensing of Environment. 2016 187 p.414
Non-Destructive Fuel Volume Measurements Can Estimate Fine-Scale Biomass across Surface Fuel Types in a Frequently Burned Ecosystem
Hiers Quinn A., Loudermilk E. Louise, Hawley Christie M., Hiers J. Kevin, Pokswinski Scott, Hoffman Chad M., O’Brien Joseph J.
Fire. 2021 4(3). p.36
Evaluating Close-Range Photogrammetry for 3D Understory Fuel Characterization and Biomass Prediction in Pine Forests
Cova Gina R., Prichard Susan J., Rowell Eric, Drye Brian, Eagle Paige, Kennedy Maureen C., Nemens Deborah G.
Remote Sensing. 2023 15(19). p.4837
Comparison of Three Approaches for Estimating Understory Biomass in Yanshan Mountains
Li Yuanqi, Hu Ronghai, Xing Yuzhen, Pang Zhe, Chen Zhi, Niu Haishan
Remote Sensing. 2024 16(6). p.1060
Terrestrial Laser Scanning: An Operational Tool for Fuel Hazard Mapping?
Wallace Luke, Hillman Samuel, Hally Bryan, Taneja Ritu, White Andrew, McGlade James
Fire. 2022 5(4). p.85
Multitemporal lidar captures heterogeneity in fuel loads and consumption on the Kaibab Plateau
Bright Benjamin C., Hudak Andrew T., McCarley T. Ryan, Spannuth Alexander, Sánchez-López Nuria, Ottmar Roger D., Soja Amber J.
Fire Ecology. 2022 18(1).
A novel approach to fuel biomass sampling for 3D fuel characterization
Hawley Christie M., Loudermilk E. Louise, Rowell Eric M., Pokswinski Scott
MethodsX. 2018 5 p.1597
Terrestrial Laser Scan Metrics Predict Surface Vegetation Biomass and Consumption in a Frequently Burned Southeastern U.S. Ecosystem
Loudermilk Eva Louise, Pokswinski Scott, Hawley Christie M., Maxwell Aaron, Gallagher Michael R., Skowronski Nicholas S., Hudak Andrew T., Hoffman Chad, Hiers John Kevin
Fire. 2023 6(4). p.151
Measurements relating fire radiative energy density and surface fuel consumption – RxCADRE 2011 and 2012
Hudak Andrew T., Dickinson Matthew B., Bright Benjamin C., Kremens Robert L., Loudermilk E. Louise, O'Brien Joseph J., Hornsby Benjamin S., Ottmar Roger D.
International Journal of Wildland Fire. 2016 25(1). p.25
High-resolution infrared thermography for capturing wildland fire behaviour: RxCADRE 2012
O'Brien Joseph J., Loudermilk E. Louise, Hornsby Benjamin, Hudak Andrew T., Bright Benjamin C., Dickinson Matthew B., Hiers J. Kevin, Teske Casey, Ottmar Roger D.
International Journal of Wildland Fire. 2016 25(1). p.62
Examination of the Potential of Terrestrial Laser Scanning and Structure-from-Motion Photogrammetry for Rapid Nondestructive Field Measurement of Grass Biomass
Cooper Sam, Roy David, Schaaf Crystal, Paynter Ian
Remote Sensing. 2017 9(6). p.531
Landscape Fire, Smoke, and Health (2023)
Prichard Susan J., Rowell Eric, Keane Robert E., Hudak Andrew T., Lutes Duncan, Loudermilk E. Louise
A review of US wildland firefighter entrapments: trends, important environmental factors and research needs
Page Wesley G., Freeborn Patrick H., Butler Bret W., Jolly W. Matt
International Journal of Wildland Fire. 2019 28(8). p.551
BioPM: Mixer for Point Cloud Based Biomass Prediction
2022 41st Chinese Control Conference (CCC) (2022)
Lei Yong, Ma Hongbin
Effect of fuel spatial resolution on predictive wildfire models
Taneja Ritu, Hilton James, Wallace Luke, Reinke Karin, Jones Simon
International Journal of Wildland Fire. 2021 30(10). p.776
Estimating Stand and Fire-Related Surface and Canopy Fuel Variables in Pine Stands Using Low-Density Airborne and Single-Scan Terrestrial Laser Scanning Data
Alonso-Rego Cecilia, Arellano-Pérez Stéfano, Guerra-Hernández Juan, Molina-Valero Juan Alberto, Martínez-Calvo Adela, Pérez-Cruzado César, Castedo-Dorado Fernando, González-Ferreiro Eduardo, Álvarez-González Juan Gabriel, Ruiz-González Ana Daría
Remote Sensing. 2021 13(24). p.5170
Land Lines
Salo Cindy
Rangelands. 2011 33(4). p.75
LiDAR Voxel-Size Optimization for Canopy Gap Estimation
Ross C. Wade, Loudermilk E. Louise, Skowronski Nicholas, Pokswinski Scott, Hiers J. Kevin, O’Brien Joseph
Remote Sensing. 2022 14(5). p.1054
A Mixed Methods Approach for Fuel Characterisation in Gorse (Ulex europaeus L.) Scrub from High-Density UAV Laser Scanning Point Clouds and Semantic Segmentation of UAV Imagery
Hartley Robin J. L., Davidson Sam J., Watt Michael S., Massam Peter D., Aguilar-Arguello Samuel, Melnik Katharine O., Pearce H. Grant, Clifford Veronica R.
Remote Sensing. 2022 14(19). p.4775
Small-Scale Variation in Fuel Loads Differentially Affects Two Co-Dominant Bunchgrasses in a Species-Rich Pine Savanna
Gagnon Paul R., Harms Kyle E., Platt William J., Passmore Heather A., Myers Jonathan A., Wright Justin
PLoS ONE. 2012 7(1). p.e29674
Challenges and lessons from a wetland LiDAR project: a case study of the Okefenokee Swamp, Georgia, USA
Rose L. Shea, Seong Jeong C., Ogle Jared, Beute Ed, Indridason Jon, Hall Jacob D., Nelson Steve, Jones Tate, Humphrey James
Geocarto International. 2013 28(3). p.210
Integration of airborne lidar and vegetation types derived from aerial photography for mapping aboveground live biomass
Chen Qi, Vaglio Laurin Gaia, Battles John J., Saah David
Remote Sensing of Environment. 2012 121 p.108
Estimating taper diameter and stem form of Pinus radiata in Australia by terrestrial laser scanning
2012 IEEE International Geoscience and Remote Sensing Symposium (2012)
Norzahari Fadhillah, Turner Russell, Lim Samsung, Trinder John
Flammability of the keystone savanna bunchgrass Aristida stricta
Fill Jennifer M., Moule Brett M., Varner J. Morgan, Mousseau Timothy A.
Plant Ecology. 2016 217(3). p.331
3D Data Processing to Characterize the Spatial Variability of Sugarcane Fields
Canata Tatiana Fernanda, Martello Maurício, Maldaner Leonardo Felipe, de Souza Moreira Jadir, Molin José Paulo
Sugar Tech. 2022 24(2). p.419
Assessing Metrics for Estimating Fire Induced Change in the Forest Understorey Structure Using Terrestrial Laser Scanning
Gupta Vaibhav, Reinke Karin, Jones Simon, Wallace Luke, Holden Lucas
Remote Sensing. 2015 7(6). p.8180
Impact of Reference Data Sampling Density for Estimating Plot-Level Average Shrub Heights Using Terrestrial Laser Scanning Data
Maxwell Aaron E., Gallagher Michael R., Minicuci Natale, Bester Michelle S., Loudermilk E. Louise, Pokswinski Scott M., Skowronski Nicholas S.
Fire. 2023 6(3). p.98
Revisiting Wildland Fire Fuel Quantification Methods: The Challenge of Understanding a Dynamic, Biotic Entity
Duff Thomas, Keane Robert, Penman Trent, Tolhurst Kevin
Forests. 2017 8(9). p.351
Quantifying Forest Litter Fuel Moisture Content with Terrestrial Laser Scanning
Batchelor Jonathan L., Rowell Eric, Prichard Susan, Nemens Deborah, Cronan James, Kennedy Maureen C., Moskal L. Monika
Remote Sensing. 2023 15(6). p.1482
Introducing Close-Range Photogrammetry for Characterizing Forest Understory Plant Diversity and Surface Fuel Structure at Fine Scales
Bright Benjamin C., Loudermilk E. Louise, Pokswinski Scott M., Hudak Andrew T., O'Brien Joseph J.
Canadian Journal of Remote Sensing. 2016 42(5). p.460
Estimating vegetation biomass and cover across large plots in shrub and grass dominated drylands using terrestrial lidar and machine learning
Anderson Kyle E., Glenn Nancy F., Spaete Lucas P., Shinneman Douglas J., Pilliod David S., Arkle Robert S., McIlroy Susan K., Derryberry DeWayne R.
Ecological Indicators. 2018 84 p.793
Integrating terrestrial and airborne laser scanning for the assessment of single-tree attributes in Mediterranean forest stands
Giannetti Francesca, Puletti Nicola, Quatrini Valerio, Travaglini Davide, Bottalico Francesca, Corona Piermaria, Chirici Gherardo
European Journal of Remote Sensing. 2018 51(1). p.795
Airborne and Terrestrial Laser Scanning Data for the Assessment of Standing and Lying Deadwood: Current Situation and New Perspectives
Marchi Niccolò, Pirotti Francesco, Lingua Emanuele
Remote Sensing. 2018 10(9). p.1356
Traditional field metrics and terrestrial LiDAR predict plant richness in southern pine forests
Anderson C.T., Dietz S.L., Pokswinski S.M., Jenkins A.M., Kaeser M.J., Hiers J.K., Pelc B.D.
Forest Ecology and Management. 2021 491 p.119118
The use of terrestrial LiDAR technology in forest science: application fields, benefits and challenges
Dassot Mathieu, Constant Thiéry, Fournier Meriem
Annals of Forest Science. 2011 68(5). p.959
Integrating Airborne LiDAR and Terrestrial Laser Scanner forest parameters for accurate above-ground biomass/carbon estimation in Ayer Hitam tropical forest, Malaysia
Bazezew Muluken N., Hussin Yousif A., Kloosterman E.H.
International Journal of Applied Earth Observation and Geoinformation. 2018 73 p.638
Development and validation of fuel height models for terrestrial lidar – RxCADRE 2012
Rowell Eric M., Seielstad Carl A., Ottmar Roger D.
International Journal of Wildland Fire. 2016 25(1). p.38
Up-Scaling Fuel Hazard Metrics Derived from Terrestrial Laser Scanning Using a Machine Learning Model
Taneja Ritu, Wallace Luke, Hillman Samuel, Reinke Karin, Hilton James, Jones Simon, Hally Bryan
Remote Sensing. 2023 15(5). p.1273
Linear mixed-effects models for estimating biomass and fuel loads in shrublands
Pearce H.G., Anderson W.R., Fogarty L.G., Todoroki C.L., Anderson S.A.J.
Canadian Journal of Forest Research. 2010 40(10). p.2015
DUET - Distribution of Understory using Elliptical Transport: A mechanistic model of leaf litter and herbaceous spatial distribution based on tree canopy structure
McDanold Jenna S., Linn Rodman R., Jonko Alex K., Atchley Adam L., Goodrick Scott L., Hiers J. Kevin, Hoffman Chad M., Loudermilk E. Louise, O'Brien Joseph J., Parsons Russell A., Sieg Carolyn H., Oliveto Julia A.
Ecological Modelling. 2023 483 p.110425
Emissions from prescribed fires in temperate forest in south-east Australia: implications for carbon accounting
Possell M., Jenkins M., Bell T. L., Adams M. A.
Biogeosciences. 2015 12(1). p.257
Surveying pasture communities in diachronic analyses by 3D models: the diachronic canopy variation model
Passalacqua Nicodemo G., Muzzupappa Maurizio, Lagudi Antonio, Bernardo Liliana, Schettino Aldo, Gargano Domenico
Ecosphere. 2019 10(3).
Biomass Prediction with 3D Point Clouds from LiDAR
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2022)
Pan Liyuan, Liu Liu, Condon Anthony G., Estavillo Gonzalo M., Coe Robert A., Bull Geoff, Stone Eric A., Petersson Lars, Rolland Vivien
LiDAR based biomass and crop nitrogen estimates for rapid, non-destructive assessment of wheat nitrogen status
Eitel Jan U.H., Magney Troy S., Vierling Lee A., Brown Tabitha T., Huggins David R.
Field Crops Research. 2014 159 p.21
Canopy and surface fuel estimations using RPAS and ground-based point clouds
Arkin Jeremy, Coops Nicholas C, Daniels Lori D, Plowright Andrew, Ewald Michael
Forestry: An International Journal of Forest Research. 2023
High Throughput Determination of Plant Height, Ground Cover, and Above-Ground Biomass in Wheat with LiDAR
Jimenez-Berni Jose A., Deery David M., Rozas-Larraondo Pablo, Condon Anthony (Tony) G., Rebetzke Greg J., James Richard A., Bovill William D., Furbank Robert T., Sirault Xavier R. R.
Frontiers in Plant Science. 2018 9
Prediction of Forest Canopy and Surface Fuels from Lidar and Satellite Time Series Data in a Bark Beetle-Affected Forest
Bright Benjamin, Hudak Andrew, Meddens Arjan, Hawbaker Todd, Briggs Jennifer, Kennedy Robert
Forests. 2017 8(9). p.322
A combined approach utilizing UAV 3D imaging methods, in-situ measurements, and laboratory experiments to assess water evaporation and trace element uptake by tree species growing in a red gypsum landfill
Malabad Abdoulaye Mahamat, Tatin-Froux Fabienne, Gallinet Gilles, Colin Jean-Michel, Chalot Michel, Parelle Julien
Journal of Hazardous Materials. 2022 425 p.127977
Longleaf pine (Pinus palustris) and hardwood dynamics in a fire-maintained ecosystem: A simulation approach
Loudermilk E.L., Cropper W.P., Mitchell R.J., Lee H.
Ecological Modelling. 2011 222(15). p.2733
Deriving Fuel Mass by Size Class in Douglas-fir (Pseudotsuga menziesii) Using Terrestrial Laser Scanning
Seielstad Carl, Stonesifer Crystal, Rowell Eric, Queen Lloyd
Remote Sensing. 2011 3(8). p.1691
Lidar provides novel insights into the effect of pixel size and grazing intensity on measures of spatial heterogeneity in a native bunchgrass ecosystem
Jansen By V.S., Kolden C.A., Greaves H.E., Eitel J.U.H.
Remote Sensing of Environment. 2019 235 p.111432
Ecosystem‐scale measurements of biomass water using cosmic ray neutrons
Franz Trenton E., Zreda Marek, Rosolem Rafael, Hornbuckle Brian K., Irvin Samantha L., Adams Henry, Kolb Thomas E., Zweck Chris, Shuttleworth W. James
Geophysical Research Letters. 2013 40(15). p.3929
Wildland Fuel Fundamentals and Applications (2015)
Keane Robert E.
Classification of plant structures from uncalibrated image sequences
2012 IEEE Workshop on the Applications of Computer Vision (WACV) (2012)
Dey Debadeepta, Mummert Lily, Sukthankar Rahul
Strengths and limitations of assessing forest density and spatial configuration with aerial LiDAR
Richardson Jeffrey J, Moskal L. Monika
Remote Sensing of Environment. 2011 115(10). p.2640
Estimating aboveground biomass and leaf area of low-stature Arctic shrubs with terrestrial LiDAR
Greaves Heather E., Vierling Lee A., Eitel Jan U.H., Boelman Natalie T., Magney Troy S., Prager Case M., Griffin Kevin L.
Remote Sensing of Environment. 2015 164 p.26
Canopy-Derived Fuels Drive Patterns of In-Fire Energy Release and Understory Plant Mortality in a Longleaf Pine (Pinus palustris) Sandhill in Northwest Florida, USA
O’Brien Joseph J., Loudermilk E. Louise, Hiers J. Kevin, Pokswinski Scott M., Hornsby Benjamin, Hudak Andrew T., Strother Dexter, Rowell Eric, Bright Benjamin C.
Canadian Journal of Remote Sensing. 2016 42(5). p.489
Extrapolating Forest Canopy Fuel Properties in the California Rim Fire by Combining Airborne LiDAR and Landsat OLI Data
García Mariano, Saatchi Sassan, Casas Angeles, Koltunov Alexander, Ustin Susan, Ramirez Carlos, Balzter Heiko
Remote Sensing. 2017 9(4). p.394
Terrestrial laser scanning to quantify above-ground biomass of structurally complex coastal wetland vegetation
Owers Christopher J., Rogers Kerrylee, Woodroffe Colin D.
Estuarine, Coastal and Shelf Science. 2018 204 p.164
Application of Ground-Based Lidar and Gap Intercept Measurements to Quantify a Shrub Configuration Metric within Greater Sage-Grouse Nesting Habitat
Zabihi Khodabakhsh, Driese Kenneth L., Paige Ginger B., Hild Ann K.
Western North American Naturalist. 2019 79(4). p.500
Wildland fire emissions, carbon and climate: Characterizing wildland fuels
Weise David R., Wright Clinton S.
Forest Ecology and Management. 2014 317 p.26
Terrestrial laser scanning to estimate plot-level forest canopy fuel properties
García Mariano, Danson F. Mark, Riaño David, Chuvieco Emilio, Ramirez F. Alberto, Bandugula Vishal
International Journal of Applied Earth Observation and Geoinformation. 2011 13(4). p.636
Terrestrial Laser Scanning as an Effective Tool to Retrieve Tree Level Height, Crown Width, and Stem Diameter
Srinivasan Shruthi, Popescu Sorin, Eriksson Marian, Sheridan Ryan, Ku Nian-Wei
Remote Sensing. 2015 7(2). p.1877

Committee on Publication Ethics


Abstract Export Citation Get Permission