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International Journal of Remote Sensing Volume 37, 2016 - Issue 14
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Forest fuel treatment detection using multi-temporal airborne lidar data and high-resolution aerial imagery: a case study in the Sierra Nevada Mountains, California

Yanjun SuSierra Nevada Research Institute, School of Engineering, University of California at Merced, Merced, CA, USA
,
Qinghua GuoSierra Nevada Research Institute, School of Engineering, University of California at Merced, Merced, CA, USACorrespondence[email protected]
,
Brandon M. CollinsUSDA Forest Service, Pacific Southwest Research Station, Davis, CA, USA;Center for Fire Research and Outreach, University of California at Berkeley, Berkeley, CA, USA
,
Danny L. FryDepartment of Environmental Science, Policy, and Management, University of California at Berkeley, Berkeley, CA, USA
,
Tianyu HuState Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China
&
Maggi KellyDepartment of Environmental Science, Policy, and Management, University of California at Berkeley, Berkeley, CA, USA
Pages 3322-3345 | Received 06 Dec 2015, Accepted 23 May 2016, Published online: 28 Jun 2016

Citations (19)

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Read on this site (2)

Qin Ma, Yanjun Su, Shengli Tao & Qinghua Guo. (2018) Quantifying individual tree growth and tree competition using bi-temporal airborne laser scanning data: a case study in the Sierra Nevada Mountains, California. International Journal of Digital Earth 11:5, pages 485-503.
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Yanjun Su, Qin Ma & Qinghua Guo. (2017) Fine-resolution forest tree height estimation across the Sierra Nevada through the integration of spaceborne LiDAR, airborne LiDAR, and optical imagery. International Journal of Digital Earth 10:3, pages 307-323.
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Articles from other publishers (17)

Linlong Jing, Xinhua Wei, Qi Song & Fei Wang. (2023) Research on Estimating Rice Canopy Height and LAI Based on LiDAR Data. Sensors 23:19, pages 8334.
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Qinghua Guo, Yanjun Su & Tianyu Hu. 2023. LiDAR Principles, Processing and Applications in Forest Ecology. LiDAR Principles, Processing and Applications in Forest Ecology 379 406 .
Claudia Herbert, Barbara K. Haya, Scott L. Stephens & Van Butsic. (2022) Managing nature-based solutions in fire-prone ecosystems: Competing management objectives in California forests evaluated at a landscape scale. Frontiers in Forests and Global Change 5.
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Zurui Ao, Fangfang Wu, Saihan Hu, Ying Sun, Yanjun Su, Qinghua Guo & Qinchuan Xin. (2021) Automatic segmentation of stem and leaf components and individual maize plants in field terrestrial LiDAR data using convolutional neural networks. The Crop Journal.
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Qinghua Guo, Yanjun Su, Tianyu Hu, Hongcan Guan, Shichao Jin, Jing Zhang, Xiaoxia Zhao, Kexin Xu, Dengjie Wei, Maggi Kelly & Nicholas C. Coops. (2021) Lidar Boosts 3D Ecological Observations and Modelings: A Review and Perspective. IEEE Geoscience and Remote Sensing Magazine 9:1, pages 232-257.
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Mohamed Elhag, Nese Yimaz, Jarbou Bahrawi & Silvena Boteva. (2020) Evaluation of Optical Remote Sensing Data in Burned Areas Mapping of Thasos Island, Greece. Earth Systems and Environment 4:4, pages 813-826.
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Krystian Kozioł & Kamil Maciuk. (2020) New Heights of the Highest Peaks of Polish Mountain Ranges. Remote Sensing 12:9, pages 1446.
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S. De Petris, E. J. Momo & E. Borgogno-Mondino. 2020. Computational Science and Its Applications – ICCSA 2020. Computational Science and Its Applications – ICCSA 2020 829 844 .
Eva Marino, Fernando Montes, José Luis Tomé, José Antonio Navarro & Carmen Hernando. (2018) Vertical forest structure analysis for wildfire prevention: Comparing airborne laser scanning data and stereoscopic hemispherical images. International Journal of Applied Earth Observation and Geoinformation 73, pages 438-449.
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Qin Ma, Yanjun Su, Laiping Luo, Le Li, Maggi Kelly & Qinghua Guo. (2018) Evaluating the uncertainty of Landsat-derived vegetation indices in quantifying forest fuel treatments using bi-temporal LiDAR data. Ecological Indicators 95, pages 298-310.
Crossref
Qin Ma, Tianyu Hu, Yanjun Su, Qinghua Guo, John J. Battles & Maggi Kelly. (2018) Individual Tree Level Forest Fire Assessment Using Bi-temporal LiDAR Data. Individual Tree Level Forest Fire Assessment Using Bi-temporal LiDAR Data.
Francisco J. Romero Ramirez, Rafael Mª. Navarro-Cerrillo, Mª. Ángeles Varo-Martínez, Jose Luis Quero, Stefan Doerr & Rocío Hernández-Clemente. (2018) Determination of forest fuels characteristics in mortality-affected Pinus forests using integrated hyperspectral and ALS data. International Journal of Applied Earth Observation and Geoinformation 68, pages 157-167.
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Laiping Luo, Qiuping Zhai, Yanjun Su, Qin Ma, Maggi Kelly & Qinghua Guo. (2018) Simple method for direct crown base height estimation of individual conifer trees using airborne LiDAR data. Optics Express 26:10, pages A562.
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Maggi Kelly, Yanjun Su, Stefania Di Tommaso, Danny Fry, Brandon Collins, Scott Stephens & Qinghua Guo. (2017) Impact of Error in Lidar-Derived Canopy Height and Canopy Base Height on Modeled Wildfire Behavior in the Sierra Nevada, California, USA. Remote Sensing 10:2, pages 10.
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Yanjun Su, Roger C. Bales, Qin Ma, Koren Nydick, Ram L. Ray, Wenkai Li & Qinghua Guo. (2017) Emerging Stress and Relative Resiliency of Giant Sequoia Groves Experiencing Multiyear Dry Periods in a Warming Climate. Journal of Geophysical Research: Biogeosciences 122:11, pages 3063-3075.
Crossref
Zurui Ao, Yanjun Su, Wenkai Li, Qinghua Guo & Jing Zhang. (2017) One-Class Classification of Airborne LiDAR Data in Urban Areas Using a Presence and Background Learning Algorithm. Remote Sensing 9:10, pages 1001.
Crossref
Qin Ma, Yanjun Su & Qinghua Guo. (2017) Comparison of Canopy Cover Estimations From Airborne LiDAR, Aerial Imagery, and Satellite Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10:9, pages 4225-4236.
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