Chinese article
1.LI Yuan,HUANG Huaguo,DU Kai et al. Simulation and indoor observation of microwave scattering and surface roughness of tree trunk cylinders [J]. Remote Sensing Technology and Applications, 2023, 38 (02): 372-382.
2.Xiao Qing,Huang Huaguo,Bian Zunjian et al.Reflections on the construction of digital twin in remote sensing experimental field [J].Journal of Remote Sensing, 2023, 27 (03): 584-598.
3.ZHAO Xu,HUANG Huaguo,WANG Jingxu et al.Early response of thermal infrared remote sensing to pine wilt disease in Sargasso pine forest [J].Journal of Northwest Forestry College, 2023, 38 (02): 166-172.
English Articles
1.Gao, G., Qi, J., Lin, S., Hu, R. and Huang, H., 2023. Estimating plant area density of individual trees from discrete airborne laser scanning data using intensity information and path length distribution. International Journal of Applied Earth Observation and Geoinformation, 118.
2.Huang, H., Qi, J. and Li, L., 2023. Enhanced Branch Simulation to Improve RAPID in Optical Region Using RAMI Scenes. Journal of Remote Sensing, 3.
3.Li, L. et al., 2023. Review of ground and aerial methods for vegetation cover fraction (fCover) and related quantities estimation: definitions, advances, challenges, and future perspectives. Isprs Journal of Photogrammetry and Remote Sensing, 199: 133-156.
4.Lin, Q. et al., 2023a. Early detection of pine shoot beetle attack using vertical profile of plant traits through UAV-based hyperspectral, thermal, and lidar data fusion. International Journal of Applied Earth Observation and Geoinformation, 125.
5.Lin, S. et al., 2023b. Characterizing Post-Fire Forest Structure Recovery in the Great Xing'an Mountain Using GEDI and Time Series Landsat Data. Remote Sensing, 15(12).
6.Liu, B. et al., 2023. TSCMDL: Multimodal Deep Learning Framework for Classifying Tree Species Using Fusion of 2-D and 3-D Features. Ieee Transactions on Geoscience and Remote Sensing, 61.
7.Qi, J., Jiang, J., Zhou, K., Xie, D. and Huang, H., 2023. Fast and Accurate Simulation of Canopy Reflectance under Wavelength-Dependent Optical Properties Using a Semi-Empirical 3D Radiative Transfer Model. Journal of Remote Sensing, 3.
8.Yu, L. et al., 2023. Impact of stand- and landscape-level variables on pine wilt disease-caused tree mortality in pine forests. Pest Management Science, 79(5): 1791-1799.
9.Zhang, H. et al., 2023. A Novel Forest EcoSpatial Network for Carbon Stocking Using Complex Network Theory in the Yellow River Basin. Remote Sensing, 15(10).
>>Luo, Youqing, Huaguo Huang, and Alain Roques. "Early Monitoring of Forest Wood-Boring Pests with Remote Sensing." Annual review of entomology (2022 Oct 05 (Epub 2022 Oct 05) 2022).
>>Wang, Jingxu, Shengwang Meng, Qinnan Lin, Yangyang Liu, and Huaguo Huang*. "Detection of Yunnan Pine Shoot Beetle Stress Using Uav-Based Thermal Imagery and Lidar." APPLIED SCIENCES-BASEL 12, no. 9 (2022 MAY 2022).
>>Zhou, Lv, Xuejian Li, Bo Zhang, Jie Xuan, Yulin Gong, Cheng Tan, Huaguo Huang*, and Huaqiang Du, Estimating 3D Green Volume and Aboveground Biomass of Urban Forest Trees by UAV-Lidar, REMOTE SENSING, 14 (2022).
>>Xiaoyao Li and Nikolay V. Shabanov and Ling Chen and Yongguang Zhang and Huaguo Huang*, Modeling solar-induced fluorescence of forest with heterogeneous distribution of damaged foliage by extending the stochastic radiative transfer theory, Remote Sensing of Environment, 2022, 271, 112892
>>Li, Xiaoyao, Tong Tong, Tao Luo, Jingxu Wang, Yueming Rao, Linyuan Li, Decai Jin, Dewei Wu, and Huaguo Huang*.Retrieving the Infected Area of Pine Wilt Disease-Disturbed Pine Forests from Medium-Resolution Satellite Images Using the Stochastic Radiative Transfer Theory,Remote Sensing 14, no. 6: 1526. https://doi.org/10.3390/rs14061526
>>Simei Lin, Zijing He, Huaguo Huang, Ling Chen, Linyuan Li, Mixed forest specific calibration of the 3-PGmix model parameters from site observations to predict post-fire forest regrowth, Forest Ecology and Management, 2022， 515,120208,https://doi.org/10.1016/j.foreco.2022.120208.
>>Li, Chenyun, Zhexiu Yu, Shaojie Wang, Fayun Wu, Kunjian Wen, Jianbo Qi, and Huaguo Huang. "Crown Structure Metrics to Generalize Aboveground Biomass Estimation Model Using Airborne Laser Scanning Data in National Park of Hainan Tropical Rainforest, China." FORESTS 13, no. 7 (2022 JUL 2022).
>>Li, Linyuan, Xihan Mu, Francesco Chianucci, Jianbo Qi, Jingyi Jiang, Jiaxin Zhou, Ling Chen, et al. "Ultrahigh-Resolution Boreal Forest Canopy Mapping: Combining Uav Imagery and Photogrammetric Point Clouds in a Deep-Learning-Based Approach." INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 107 (2022 MAR 2022).
>>Li, Xiaoyao, Nikolay V. Shabanov, Ling Chen, Yongguang Zhang, and Huaguo Huang. "Modeling Solar-Induced Fluorescence of Forest with Heterogeneous Distribution of Damaged Foliage by Extending the Stochastic Radiative Transfer Theory." REMOTE SENSING OF ENVIRONMENT 271 (2022 MAR 15 2022).
>>Li, Xiaoyao, Tong Tong, Tao Luo, Jingxu Wang, Yueming Rao, Linyuan Li, Decai Jin, Dewei Wu, and Huaguo Huang. "Retrieving the Infected Area of Pine Wilt Disease-Disturbed Pine Forests from Medium-Resolution Satellite Images Using the Stochastic Radiative Transfer Theory." REMOTE SENSING 14, no. 6 (2022 MAR 2022).
>>Lin, Simei, Zijing He, Huaguo Huang, Ling Chen, and Linyuan Li. "Mixed Forest Specific Calibration of the 3-Pgmix Model Parameters from Site Observations to Predict Post-Fire Forest Regrowth." FOREST ECOLOGY AND MANAGEMENT 515 (2022 JUL 1 2022).
>>Liu, Bingjie, Shuxin Chen, Huaguo Huang, and Xin Tian. "Tree Species Classification of Backpack Laser Scanning Data Using the Pointnet Plus Plus Point Cloud Deep Learning Method." REMOTE SENSING 14, no. 15 (2022 AUG 2022).
>>Liu, Bingjie, Huaguo Huang, Yong Su, Shuxin Chen, Zengyuan Li, Erxue Chen, and Xin Tian. "Tree Species Classification Using Ground-Based Lidar Data by Various Point Cloud Deep Learning Methods." REMOTE SENSING 14, no. 22 (2022 NOV 2022).
>>Ma, Xu, Tiejun Wang, Lei Lu, Huaguo Huang, Jiangli Ding, and Fei Zhang. "Developing a 3d Clumping Index Model to Improve Optical Measurement Accuracy of Crop Leaf Area Index." FIELD CROPS RESEARCH 275 (2022 JAN 1 2022).
>>Qi, Jianbo, Donghui Xie, Jingyi Jiang, and Huaguo Huang. "3d Radiative Transfer Modeling of Structurally Complex Forest Canopies through a Lightweight Boundary-Based Description of Leaf Clusters." REMOTE SENSING OF ENVIRONMENT 283 (2022 DEC 15 2022).
>>Xie, Jiangjian, Tao Qi, Wanjun Hu, Huaguo Huang, Beibei Chen, and Junguo Zhang. "Retrieval of Live Fuel Moisture Content Based on Multi-Source Remote Sensing Data and Ensemble Deep Learning Model." REMOTE SENSING 14, no. 17 (2022 SEP 2022).
>>Yu, Linfeng, Zhongyi Zhan, Lili Ren, Yujie Liu, Huaguo Huang, and Youqing Luo. "Effects of Stand and Landscape Level Variables on Shoot Damage Ratios Caused by Shoot Beetles in Southwest China." FOREST ECOLOGY AND MANAGEMENT 507 (2022 MAR 1 2022).
>>Yu, Linfeng, Zhongyi Zhan, Quan Zhou, Bingtao Gao, Lili Ren, Huaguo Huang, and Youqing Luo. "Climate Drivers of Pine Shoot Beetle Outbreak Dynamics in Southwest China." REMOTE SENSING 14, no. 12 (2022 JUN 2022).
>>Yu, Run, Langning Huo, Huaguo Huang, Yuan Yuan, Bingtao Gao, Yujie Liu, Linfeng Yu, et al. "Early Detection of Pine Wilt Disease Tree Candidates Using Time-Series of Spectral Signatures." FRONTIERS IN PLANT SCIENCE 13 (2022 OCT 13 2022).
Chinese article
[1]HUANG Huaguo. Tree mapping using satellites[J]. China Science Foundation,2021,35(02):239-240.
[2]RAO Yueming, LIU Kaijun, HUANG Huaguo, LIN Qinan, WANG Chuan. Inversion study of canopy water content in Genhe fire burn site based on INFORM model and GEE[J]. Journal of Central South Forestry University of Science and Technology,2021,41(01):80-91.
English Articles
1.Qinan Lin, Huaguo Huang*, Ling Chen, Jingxu Wang, Kan Huang, Yangyang Liu, Using the 3D model RAPID to invert the shoot dieback ratio of vertically heterogeneous Yunnan pine forests to detect beetle damage, Remote Sensing of Environment, 2021, 260, 112475
2.Linyuan Li, Xihan Mu*, Jianbo Qi, Jan Pisek, Peter Roosjen, Guangjian Yan, Huaguo Huang, Shouyang Liu, Frédéric Baret, Characterizing reflectance anisotropy of background soil in open-canopy plantations using UAV-based multiangular images,ISPRS Journal of Photogrammetry and Remote Sensing, 2021，177, 263-278
>>Luo, Youqing, Huaguo Huang, and Alain Roques. "Early Monitoring of Forest Wood-Boring Pests with Remote Sensing." Annual review of entomology (2022 Oct 05 (Epub 2022 Oct 05) 2022).
>>Wang, Jingxu, Shengwang Meng, Qinnan Lin, Yangyang Liu, and Huaguo Huang*. "Detection of Yunnan Pine Shoot Beetle Stress Using Uav-Based Thermal Imagery and Lidar." APPLIED SCIENCES-BASEL 12, no. 9 (2022 MAY 2022).
>>Zhou, Lv, Xuejian Li, Bo Zhang, Jie Xuan, Yulin Gong, Cheng Tan, Huaguo Huang*, and Huaqiang Du, Estimating 3D Green Volume and Aboveground Biomass of Urban Forest Trees by UAV-Lidar, REMOTE SENSING, 14 (2022).
>>Xiaoyao Li and Nikolay V. Shabanov and Ling Chen and Yongguang Zhang and Huaguo Huang*, Modeling solar-induced fluorescence of forest with heterogeneous distribution of damaged foliage by extending the stochastic radiative transfer theory, Remote Sensing of Environment, 2022, 271, 112892
>>Li, Xiaoyao, Tong Tong, Tao Luo, Jingxu Wang, Yueming Rao, Linyuan Li, Decai Jin, Dewei Wu, and Huaguo Huang*.Retrieving the Infected Area of Pine Wilt Disease-Disturbed Pine Forests from Medium-Resolution Satellite Images Using the Stochastic Radiative Transfer Theory,Remote Sensing 14, no. 6: 1526. https://doi.org/10.3390/rs14061526
>>Simei Lin, Zijing He, Huaguo Huang, Ling Chen, Linyuan Li, Mixed forest specific calibration of the 3-PGmix model parameters from site observations to predict post-fire forest regrowth, Forest Ecology and Management, 2022， 515,120208,https://doi.org/10.1016/j.foreco.2022.120208.
>>Li, Chenyun, Zhexiu Yu, Shaojie Wang, Fayun Wu, Kunjian Wen, Jianbo Qi, and Huaguo Huang. "Crown Structure Metrics to Generalize Aboveground Biomass Estimation Model Using Airborne Laser Scanning Data in National Park of Hainan Tropical Rainforest, China." FORESTS 13, no. 7 (2022 JUL 2022).
>>Li, Linyuan, Xihan Mu, Francesco Chianucci, Jianbo Qi, Jingyi Jiang, Jiaxin Zhou, Ling Chen, et al. "Ultrahigh-Resolution Boreal Forest Canopy Mapping: Combining Uav Imagery and Photogrammetric Point Clouds in a Deep-Learning-Based Approach." INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 107 (2022 MAR 2022).
>>Li, Xiaoyao, Nikolay V. Shabanov, Ling Chen, Yongguang Zhang, and Huaguo Huang. "Modeling Solar-Induced Fluorescence of Forest with Heterogeneous Distribution of Damaged Foliage by Extending the Stochastic Radiative Transfer Theory." REMOTE SENSING OF ENVIRONMENT 271 (2022 MAR 15 2022).
>>Li, Xiaoyao, Tong Tong, Tao Luo, Jingxu Wang, Yueming Rao, Linyuan Li, Decai Jin, Dewei Wu, and Huaguo Huang. "Retrieving the Infected Area of Pine Wilt Disease-Disturbed Pine Forests from Medium-Resolution Satellite Images Using the Stochastic Radiative Transfer Theory." REMOTE SENSING 14, no. 6 (2022 MAR 2022).
>>Lin, Simei, Zijing He, Huaguo Huang, Ling Chen, and Linyuan Li. "Mixed Forest Specific Calibration of the 3-Pgmix Model Parameters from Site Observations to Predict Post-Fire Forest Regrowth." FOREST ECOLOGY AND MANAGEMENT 515 (2022 JUL 1 2022).
>>Liu, Bingjie, Shuxin Chen, Huaguo Huang, and Xin Tian. "Tree Species Classification of Backpack Laser Scanning Data Using the Pointnet Plus Plus Point Cloud Deep Learning Method." REMOTE SENSING 14, no. 15 (2022 AUG 2022).
>>Liu, Bingjie, Huaguo Huang, Yong Su, Shuxin Chen, Zengyuan Li, Erxue Chen, and Xin Tian. "Tree Species Classification Using Ground-Based Lidar Data by Various Point Cloud Deep Learning Methods." REMOTE SENSING 14, no. 22 (2022 NOV 2022).
>>Ma, Xu, Tiejun Wang, Lei Lu, Huaguo Huang, Jiangli Ding, and Fei Zhang. "Developing a 3d Clumping Index Model to Improve Optical Measurement Accuracy of Crop Leaf Area Index." FIELD CROPS RESEARCH 275 (2022 JAN 1 2022).
>>Qi, Jianbo, Donghui Xie, Jingyi Jiang, and Huaguo Huang. "3d Radiative Transfer Modeling of Structurally Complex Forest Canopies through a Lightweight Boundary-Based Description of Leaf Clusters." REMOTE SENSING OF ENVIRONMENT 283 (2022 DEC 15 2022).
>>Xie, Jiangjian, Tao Qi, Wanjun Hu, Huaguo Huang, Beibei Chen, and Junguo Zhang. "Retrieval of Live Fuel Moisture Content Based on Multi-Source Remote Sensing Data and Ensemble Deep Learning Model." REMOTE SENSING 14, no. 17 (2022 SEP 2022).
>>Yu, Linfeng, Zhongyi Zhan, Lili Ren, Yujie Liu, Huaguo Huang, and Youqing Luo. "Effects of Stand and Landscape Level Variables on Shoot Damage Ratios Caused by Shoot Beetles in Southwest China." FOREST ECOLOGY AND MANAGEMENT 507 (2022 MAR 1 2022).
>>Yu, Linfeng, Zhongyi Zhan, Quan Zhou, Bingtao Gao, Lili Ren, Huaguo Huang, and Youqing Luo. "Climate Drivers of Pine Shoot Beetle Outbreak Dynamics in Southwest China." REMOTE SENSING 14, no. 12 (2022 JUN 2022).
>>Yu, Run, Langning Huo, Huaguo Huang, Yuan Yuan, Bingtao Gao, Yujie Liu, Linfeng Yu, et al. "Early Detection of Pine Wilt Disease Tree Candidates Using Time-Series of Spectral Signatures." FRONTIERS IN PLANT SCIENCE 13 (2022 OCT 13 2022).
1.HUANG Huaguo. Progress and Prospect of Forestry Quantitative Remote Sensing Research[J]. Journal of Beijing Forestry University. doi: 10.13332/j.1000-1522.20190326
3.Lin, Q.; Huang, H.*; Wang, J.; Huang, K.; Liu, Y. Detection of Pine Shoot Beetle (PSB) Stress on Pine Forests at Individual Tree Level using UAV-Based Hyperspectral Imagery and Lidar. Remote Sens. 2019, 11, 2540.
4.Kan Huang & Huang, H.*. Using ground-based LiDAR to detect shoot dieback: a case study on Yunnan pine shoots.Remote Sensing Letters. 2019, 10(9):903-912. Published online: 17 Jun 2019.
1. H. Huang, Z. Zhang, W. Ni, L. Chai, W. Qin, G. Liu, et al., "Extending RAPID model to simulate forest microwave backscattering," Remote Sensing of Environment, vol. 217, pp. 272-291, 2018/11/01/ 2018. https://authors.elsevier.com/a/1XcOE7qzSjUmM].
2. Huang, H. Accelerated RAPID Model Using Heterogeneous Porous Objects. Remote Sens. 2018, 10, 1264.
3. Lin, Q.; Huang, H.*; Yu, L.; Wang, J. Detection of Shoot Beetle Stress on Yunnan Pine Forest Using a Coupled LIBERTY2-INFORM Simulation. Remote Sens. 2018, 10, 1133.
4. Yu, L., Huang, J., Zong, S., Huang, H.*, & Luo, Y.* (2018). Detecting shoot beetle damage on Yunnan pine using Landsat time-series data. Forests, 9(1). https://doi.org/10.3390/f9010039
5.Wang, J. X., Xiong, Q. C., Lin, Q. N., & Huang, H. G.* (2018). Feasibility of using mobile phone to estimate forest leaf area index: A case study in Yunnan Pine. Remote Sensing Letters, 9(2). https://doi.org/10.1080/2150704X.2017.1399470
6. Shen, Q., Deng, J., Liu, X., & Huang, H. (2018). Prediction of bark beetles pests based on temperature vegetation dryness index. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 34(9), 167–174. https://doi.org/10.11975/j.issn.1002-6819.2018.09.020
1.Huang, H.*, Qin, W., Spurr, R. J. D., & Liu, Q. (2017). Evaluation of Atmospheric Effects on Land-Surface Directional Reflectance with the Coupled RAPID and VLIDORT Models. IEEE Geoscience and Remote Sensing Letters, 14(6), 916–920. https://doi.org/10.1109/LGRS.2017.2687702
2.Lian, J., Sun, H., Lin, Q., Cao, X., Li, C., & Huang, H.* (2017). Field observations of background thermal radiation directionality in natural forests. Yaogan Xuebao/Journal of Remote Sensing, 21(3). https://doi.org/10.11834/jrs.20176097
3.Lin, Q., Huang, H.*, Chen, L., & Chen, E. (2017). Topographic correction method for steep mountain terrain images. Yaogan Xuebao/Journal of Remote Sensing, 21(5). https://doi.org/10.11834/jrs.20176384
1.Lin, Q.-N., Huang, H.-G.*, Chen, L., Yu, L.-F., & Huang, K. (2016). Simulation of needle reflectance spectrum and sensitivity analysis of biochemical parameters of pinus yunnanensis in different healthy status. Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis, 36(8). https://doi.org/10.3964/j.issn.1000-0593(2016)08-2538-08
1.Xie, W.-J., Huang, K., Li, R.-P., Sun, H., Hu, J.-J., & Huang, H.-G.* (2015). Applying high-resolution satellite images to estimate tree diversity of mixed broadleaf-Korean pine forest. Beijing Linye Daxue Xuebao/Journal of Beijing Forestry University, 37(3), 20–26. https://doi.org/10.13332/j.1000-1522.20140306
2.Widlowski, J. L., Mio, C., Disney, M., Adams, J., Andredakis, I., Atzberger, C., ...,Huang, H.,..., Zenone, T. (2015). The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing. Remote Sensing of Environment, 169, 418–437. https://doi.org/10.1016/j.rse.2015.08.016
1.Huang, H.* (2014). Study of the FOV effect in field multi-angular remote sensing based on an extended realistic structural model. Gaojishu Tongxin/Chinese High Technology Letters, 24(1). https://doi.org/10.3772/j.issn.1002-0470.2014.01.008
2.Zhan, H.-J., Xie, W.-J., Sun, H., & Huang, H.-G.* (2014). Using ENVI-met to simulate 3D temperature distribution in vegetated scenes. Beijing Linye Daxue Xuebao/Journal of Beijing Forestry University, 36(4). https://doi.org/10.13332/j.cnki.jbfu.2014.04.014
1.Huang, H.-G.* (2013). Progress analysis of LiDAR research on forestry science studies. Beijing Linye Daxue Xuebao/Journal of Beijing Forestry University, 35(4).
2.Huang, H.*, & Wynne, R. H. (2013). Simulation of lidar waveforms with a time-dependent radiosity algorithm. Canadian Journal of Remote Sensing, 39(SUPPL.1). https://doi.org/10.5589/m13-035
3.Huang, H.*, Qin, W., & Liu, Q. (2013). RAPID: A Radiosity Applicable to Porous IndiviDual Objects for directional reflectance over complex vegetated scenes. Remote Sensing of Environment, 132, 221–237. https://doi.org/10.1016/j.rse.2013.01.013
4.Widlowski, J. L., Pinty, B., Lopatka, M., Atzberger, C., Buzica, D., Chelle, M., ...,Huang, H.,...,Xie, D. (2013). The fourth radiation transfer model intercomparison (RAMI-IV): Proficiency testing of canopy reflectance models with ISO-13528. Journal of Geophysical Research Atmospheres, 118(13), 6869–6890. https://doi.org/10.1002/jgrd.50497
1.Huang, H.*, Liu, Q., Liu, Q., & Qin, W. (2012). Validating theoretical simulations of thermal emission hot spot effects on maize canopies. International Journal of Remote Sensing, 33(3), 746–761. https://doi.org/10.1080/01431161.2011.577827
2.Huang, H.-G.*, Dou, B.-C., & Hu, N. (2011). Tassel effect on the thermal emission directionality of corn canopies. Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves, 30(2).
3.Huang, H.*, Liu, Q., Qin, W., Du, Y., & Li, X. (2011). Temporal patterns of thermal emission directionality of crop canopies. Journal of Geophysical Research Atmospheres, 116(6). https://doi.org/10.1029/2010JD014613
4.Huang, H.*, Liu, Q., Qin, W., & Qin, W. (2010). Thermal Emission Hot-Spot Effect of Crop Canopies—Part I: Simulation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 3(3), 313–322. https://doi.org/10.1109/JSTARS.2010.2046625
5.Huang, H.*, Chen, M., Liu, Q., Liu, Q., Zhang, Y., Zhao, L., & Qin, W. (2009). A Realistic Structure Model for Large-Scale Surface Leaving Radiance Simulation of Forest Canopy and Accuracy Assessment. International Journal of Remote Sensing, 30(20), 5421–5439. https://doi.org/10.1080/01431160903130911
6.Yan, L., Fang, L. Q., Huang, H. G., Zhang, L. Q., Feng, D., Zhao, W. J., … Cao, W. C. (2007). Landscape elements and Hantaan virus-related hemorrhagic fever with renal syndrome, People’s Republic of China. Emerging Infectious Diseases, 13(9), 1301–1306. https://doi.org/10.3201/eid1309.061481
7.Liu, Q., Huang, H., Qin, W., Fu, K., & Li, X. (2007). An extended 3-D radiosity-graphics combined model for studying thermal-emission directionality of crop canopy. IEEE Transactions on Geoscience and Remote Sensing, 45(9), 2900–2918. https://doi.org/10.1109/TGRS.2007.902272
8.Huang, H.-G., Zhang, X.-L., & Wang, L. (2005). Simulation of forest fire spread based on a 3D-surface Cellular Automata Model. Beijing Linye Daxue Xuebao/Journal of Beijing Forestry University, 27(3).
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