中文文章
英文文章
>>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).
2021年
中文文章
[1]黄华国.利用卫星绘制树木地图[J].中国科学基金,2021,35(02):239-240.
[2]饶月明,刘凯军,黄华国,林起楠,王川.基于INFORM模型与GEE的根河火烧迹地冠层含水量反演研究[J].中南林业科技大学学报,2021,41(01):80-91.
英文文章
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
2020年
中文文章
[1]李骁尧,黄华国*.应用随机辐射传输模型反演云南松林分郁闭度[J].遥感学报,2020,24(06):752-765.
[2]王川,范景辉,林思美,饶月明,黄华国*.光学遥感植被指数与SAR遥感参数的相关性及其主要影响因素研究[J].国土资源遥感,2020,32(02):130-137.
[3]胡佩纶,陈育伟,蒋长辉,林起楠,李伟,漆建波,俞琳锋,邵慧,黄华国*.基于室内高光谱激光雷达的典型树种叶片光谱观测和分类[J].红外与毫米波学报,2020,39(03):372-380.
[4]饶月明,王川,黄华国*.联合多源遥感数据监测四川木里县森林火灾[J].遥感学报,2020,24(05):559-570.
[5]王景旭,黄华国*,林起楠,王冰,黄侃.红外热成像监测云南松切梢小蠹虫害:针叶尺度观测[J].植物生态学报,2019,43(11):959-968.
[6]王冰,黄华国*,王景旭,连君,解潍嘉.耦合ENVI-met与RAPID模型模拟3维异质植被场景亮温分布[J].遥感学报,2020,24(02):126-141.
[7]黄侃,于强,黄华国*.基于机载CCD和ALS伪波形数据的山区地表分类研究[J].农业机械学报,2020,51(03):201-208.
英文文章
1.Xiaoyao Li,
Huaguo Huang*, Nikolay V. Shabanov, Ling Chen, Kai Yan, Juan Shi,Extending the stochastic radiative transfer theory to simulate BRF over forests with heterogeneous distribution of damaged foliage inside of tree crowns,Remote Sensing of Environment,
250,2020,112040
2.Yu, Linfeng, Zhan, Zhongyi, Ren, Lili, Zong, Shixiang, Luo, Youqing*,
Huang, H.*. Evaluating the Potential of WorldView-3 Data to Classify Different Shoot Damage Ratios of Pinus yunnanensis. FORESTS. 11(4), 417, APR 2020
3.Hu, P. &
Huang, H.*, et al., Analyzing the Angle Effect of Leaf Reflectance Measured by Indoor Hyperspectral Light Detection and Ranging (LiDAR). REMOTE SENSING, 12(6),919, MAR 2 2020
4.Du, K.;
Huang, H.*; et al., Simulation of Ku-Band Profile Radar Waveform by Extending Radiosity Applicable to Porous Individual Objects (RAPID2) Model. REMOTE SENSING, 12(4), 684, FEB 2020
5.Sun, T., Qi, J. &
Huang, H.*, Discovering forest height changes based on spaceborne lidar data of ICESat-1 in 2005 and ICESat-2 in 2019: a case study in the Beijing-Tianjin-Hebei region of China. For. Ecosyst. 7, 53 (2020). https://doi.org/10.1186/s40663-020-00265-w
6.Su, A.; Qi, J.; Huang, H. Indirect Measurement of Forest Canopy Temperature by Handheld Thermal Infrared Imager through Upward Observation. Remote Sens. 2020, 12, 3559.
2019年
1.黄华国. 林业定量遥感研究进展和展望[J]. 北京林业大学学报. doi: 10.13332/j.1000-1522.20190326
2.黄华国.三维遥感机理模型RAPID原理及其应用[J].遥感技术与应用,2019,34(05):901-913.
1.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.
2.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.
2018年
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
2017年
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
12.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
2016年
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
2015年
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
2014年
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
2013年
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
2012年及以前
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).
