Wenjiang Huang: Dr.& Professor, Director of SINO-UK Crop Pest and Disease Forecasting &Management Joint Laboratory, working in Aerospace Information Research Institute , Chinese Academy of Sciences（AIR-CAS）, Ph.D. in Physical Geography, he was acting as PI for more than 40 major scientific fundings from Grope on Earth Observations (GEO), Ministry of Science and Technology(MOST), National Science Foundation of China(NSFC),  Ministry of Agriculture and Rural Affairs (MARA)and Chinese Academy of Sciences (CAS). His research interests cover quantitative and remote sensing for vegetation, Data fusion (multi-scale, multi-sensor, multi-temporal) for global change, Monitoring crop, grass and forest growth using remote sensing technology. He has published more than 200 SCI journal papers focused on remote sensing for vegetation biophysical and biochemical variables inversion and remote sensing for vegetation growth, with h-index 50. He has awarded more than 10 science and technology award including National Science and Technology Progress Award and so on. For more details please visit the website (http://www.rscrop.com, or https://www.researchgate.net/profile/Wenjiang-Huang).

Vegetation (crop, grass, forest) monitoring and forecasting by remote sensing and geographic information system at global, national and regional scales

• Mechanism of crop, grass, forest growth monitoring and forecasting by remote sensing to global change;

• Integrated with multi-source earth observation data, meteorological data, field data, and self-developed models and algorithms for vegetation monitoring;

• Vegetation growth monitoring and forecasting system at global, national and regional scales.

Vegetation parameters inversion and earth observation products at global, national and regional scales

• Quantitative estimation of land surface variables from satellite remote sensing;

• Crop biophysical and biochemical parameters inversion such as LAI, leaf chlorophyll content;

• Precision agriculture, Land use mapping, land use change, land degradation.

Remote Sensing Image Analysis and Application

• Multi-platform remote sensing analysis in biogeography;

• Environmental modeling;

• Land use/cover change detection. 

Active Grants and Funding

Strategic Priority Research Program of the Chinese Academy of Sciences: Digital earth scientific platform, 2018.1-2022.12. 601.3Million Yuan;

National Key R&D Program of China: Multi-source remote sensing data for earth surface parameters high resolution inversion,2016.7-2020.12. 16 Million Yuan;

National Key R&D Program of China: The main pests and diseases of major grain producing areas monitoring and environmental-friendly control technologies, 2016.01-2020.12;

National Key R&D Program of China: Crop growth monitoring and diagnosis and precision planting technology,2016.1-2020.12.  9 Million Yuan;

National Natural Science Foundation: The study of spectral diagnosis mechanism and methodology on carotenoid detection of crop nutrient stress, 2016.01-2019.12.  956 Thousand Yuan;

Sino-Italian Project: Innovative algorithms to analyze the newly radar and optical satellite constellation for improving the agronomic and environmental management from local to national scale: the cereal crops growth monitoring in Italy and China funded by Bureau of International Cooperation, Chinese Academy of Sciences, China (Italy partner: Institute of Methodologies for Environmental Analysis, National Research Council of Italy (IMAA-CNR), 2020.10-2022.12. 207 Thousand Yuan;

Sino-Italian Project: Innovative algorithms to analyze the newly radar and optical satellite constellation for improving the agronomic and environmental management: the case study of cereal crops in Italy and China funded by Bureau of International Cooperation, Chinese Academy of Sciences, China (Italy partner: Institute of Methodologies for Environmental Analysis, National Research Council of Italy (IMAA-CNR), 2017.1-2019.12;

Sino-UK Project: Integrating advanced earth observation and environmental information for sustainable management of crop pests and diseases funded by STFC Newton Fund and NSFC, 2016.04-2019.04. 3000 Thousand Yuan;

Sino-UK Project: Monitoring and predicting of main crop diseases and insect pests with remote sensing techniques funded by Bureau of International Cooperation, Chinese Academy of Sciences, China (UK partners: CABI, 2015-2018), 1000 Thousand Yuan;

SINO-EU, Dragon 4 proposal: Combined exploitation of SINO-EU earth observation data for supporting the monitoring and management of agricultural resources;

The Innovation Foundation of Director of Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, China, 2015.01-2016.12, 1000 Thousand Yuan;

The wheat disease monitoring by multi-source remote sensing data, National Natural Science Foundation, 2013.1-2016.12, 750 Thousand Yuan;

The quantitative remote sensing of vegetation biophysical and biochemical parameters, Hundred Talent Program of the Chinese Academy of Sciences of Wenjiang Huang, 2012.5-2015.5, 2500 Thousand Yuan.

PUBLICATIONS

[1].Yanyu Huang.; Lv, H.; Dong, Y.; Huang, W.; Hu, G.; Liu, Y.; Chen, H.; Geng, Y.; Bai, J.; Guo, P.; et al. Mapping the Spatio-Temporal Distribution of Fall Armyworm in China by Coupling Multi-Factors. Remote Sens. 2022, 14, 4415, doi:10.3390/rs14174415.

[2].Bin Wu, Huichun Ye, Wenjiang Huang, Hongye Wang, Peilei Luo, Weiping Kong. Monitoring the Vertical Distribution of Maize Canopy Chlorophyll Content Based on Multi-Angular Spectral Data [J]. Remote Sensing, 2021, 13(5): 987. doi: 10.3390/rs13050987 

[3].Yingying Dong, Wenjiang Huang, Yun Geng, Linyi Liu, Anting Guo, and Chao Ruan, 2022. Crop Pest and Disease Remote Sensing Monitoring and Forecasting. Sciences Press, EDP Sciences.

[4].Yanru Huang, Yingying Dong*, Wenjiang Huang*, Binyuan Ren, Qiaoyu Deng, Yue Shi, Jie Bai, Yu Ren, Yun Geng, Huiqin Ma. Overwintering Distribution of Fall Armyworm (Spodoptera Frugiperda) in Yunnan, China, and Influencing Environmental Factors, Insects, 2020, 11(11): 805. https://doi.org/10.3390/insects11110805 (SCI )

[5].Longlong Zhao, Wenjiang Huang*, Jinsong Chen, Yingying Dong, Binyuan Ren, and Yun Geng. Land Use/Cover Changes in the Oriental Migratory Locust Area of China: Implications for Ecological Control and Monitoring of Locust Area. Agriculture, Ecosystems & Environment, 2020, 303: 107110. https://doi.org/10.1016/j.agee.2020.107110 (SCI )

[6].Chao Ding, Wenjiang Huang*, Yao Li, Shuang Zhao, and Fang Huang. Nonlinear Changes in Dryland Vegetation Greenness over East Inner Mongolia, China, in Recent Years from Satellite Time Series, Sensors, 2020, 20 (14): 3839. https://doi.org/10.3390/s20143839 (SCI )

[7].Huichun Ye, Wenjiang Huang*, Shanyu Huang, Bei Cui, Yingying Dong, Anting Guo, Yu Ren, and Yu Jin. Identification of Banana Fusarium Wilt Using Supervised Classification Algorithms with UAV-Based Multi-Spectral Imagery, International Journal of Agricultural and Biological Engineering, 2020, 13(3): 136–42. https://doi.org/10.25165/ijabe.v13i3.5524 (SCI )

[8].Yu Ren, Yanhua Meng, Wenjiang Huang*, Huichun Ye, Yuxing Han, Weiping Kong, Xianfeng Zhou, Bei Cui, Naichen Xing, Anting Guo and Yun Geng. Novel Vegetation Indices for Cotton Boll Opening Status Estimation Using Sentinel-2 Data, Remote Sensing, 2020, 12(11): 1712. https://doi.org/10.3390/rs12111712 (SCI )

[9].Guo, Anting, Wenjiang Huang*, Huichun Ye, Yingying Dong, Huiqin Ma, Yu Ren, and Chao Ruan. Identification of Wheat Yellow Rust Using Spectral and Texture Features of Hyperspectral Images, Remote Sensing, 2020, 12(9): 1419. https://doi.org/10.3390/rs12091419 (SCI )

[10].Linyi Liu., Yingying Dong, Wengjiang Huang*, Xiaoping Du, Binyuan. Ren, Linsheng Huang, Qiong Zheng, and Huiqin Ma. A Disease Index for Efficiently Detecting Wheat Fusarium Head Blight Using Sentinel-2 Multispectral Imagery, IEEE Access, 2020, 8:52181-91. https://doi.org/10.1109/ACCESS.2020.2980310 (SCI )

[11].Ye, Huichun, Wenjiang Huang*, Shanyu Huang, Bei Cui, Yingying Dong, Anting Guo, Yu Ren, and Yu Jin. Recognition of Banana Fusarium Wilt Based on UAV Remote Sensing, Remote Sensing, 2020, 12(6): 938. https://doi.org/10.3390/rs12060938 (SCI )

[12].Wenjiang Huang*, Yingying，Longlong Zhao，Yun Geng，Chao Ruan，Biyao Zhang，Zhongxiang Sun, Huichun Ye, and Kun Wang. 2020. Review of locust remote sensing monitoring and early warning. Journal of Remote Sensing (Chinese), 24(10):1270-1279. DOI: 10.11834/jrs.20200239

[13].Xianfeng Zhou, Wenjiang Huang*, Jingcheng Zhang, Weiping Kong, Raffaele Casa,Yanbo Huang. A novel combined spectral index for estimating the ratio of carotenoid to chlorophyll content to monitor crop physiological and phenological status, International Journal of Applied Earth Observation Geoinformation, 2019,76: 128–142 (SCI)

[14].Qiong Zheng, Wenjiang Huang*, Ximin Cui, Yingying Dong, Yue Shi, Huiqin Ma and Linyi Liu. Identification of Wheat Yellow Rust Using Optimal Three-Band Spectral Indices in Different Growth Stages.Sensors, 2019, 19, 35(SCI)

[15].Wenjiang Huang, Junjing Lu, Weiping Kong, A. Hugh Mortimer, Yue Shi. Quantitative Identification of crop disease and nitrogen-water stress in Winter Wheat Using Continuous Wavelet Analysis, International Journal of Agricicultural and Biological Engineering, 2018; 11(2): 145–152 (SCI) 

[16].Huichun Ye, Wenjiang Huang*, Shanyu Huang, Bin Wu, Yingying Dong and Bei Cui. Remote Estimation of Nitrogen Vertical Distribution by Consideration of Maize Geometry Characteristics. Remote Sensing, 2018, 10, 1995(SCI)

[17].Qiong Zheng, Wenjiang Huang*, Ximin Cui, Yue Shi and Linyi Liu. New Spectral Index for Detecting Wheat Yellow Rust Using Sentinel-2 Multispectral Imagery. Sensors, 2018, 18, 868. (SCI)

[18].Yue Shi, Wenjiang Huang*, Juhua Luo, Linsheng Huang, Xianfeng Zhou, Detection and Discrimination of Pests and Diseases in Winter Wheat Based on Spectral Indices and Kernel Discriminant Analysis, Computers and Electronics in Agriculture, 2017, 141: 171-180. http://dx.doi.org/10.1016/j.compag.2017.07.019 (SCI) 

[19].Weiping Kong, Wenjiang Huang*, Jiangui Liu, Qiming Qin, Pengfei Chen, Huichun Ye, Dailiang Peng, Yingying Dong, A. Hugh Mortimer. Estimation of canopy carotenoid content of winter wheat using multi-angle hyperspectral data, Advances in Space Research, 2017. (SCI)

[20].Xianfeng Zhou, Wenjiang Huang*, Quanjun Jiao, Chaoyang Wu, Juhua Luo. Remote estimation of canopy nitrogen content in winter wheat using airborne hyperspectral reflectance measurements. Advances in Space Research, 2016,58: 1627-1637 (SCI) 

[21].Qiaoyun Xie, Wenjiang Huang*, Jadunandan Dash, Xiaoyu Song, Linsheng Huang,Jinling Zhao, Renhong Wang. Evaluating the potential of vegetation indices for winter wheat LAI estimation under different fertilization and water conditions. Advances in Space Research 56 (2015) 2365–2373 (SCI)

[22].Wenjiang Huang, Qingsong Guan, Juhua Luo, Jingcheng Zhang, Jinling Zhao, Dong Liang, Linsheng Huang, and Dongyan Zhang. New optimized spectral indices for identifying and monitoring winter wheat diseases. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(6): 2516-2524. (SCI)

[23].Wenjiang Huang, Qinying Yang, Ruiliang Pu and Shaoyuan Yang. Estimation of Nitrogen Vertical Distribution by Bi-Directional Canopy Reflectance in Winter Wheat. Sensors, 2014, 14(11): 20347-20359. (SCI)

[24].Wenjiang Huang, Qinying Yang, Linsheng Huang, Dongyan Zhang, Guijun Yang. Nitrogen vertical distribution by canopy reflectance spectrum in winter wheat. 35th International Symposium on Remote Sensing of Environment (ISRSE35), IOP Conf. Series: Earth and Environmental Science, 2014, 17(1): 012051. (EI) 

[25].Wenjiang Huang, Juhua Luo, Qingsong Guan, Jinling Zhao, Jingcheng Zhang. Discriminating Wheat Aphid Damage Level Using Spectral Correlation Simulating Analysis, IGARSS 2013, 3722 - 3725 (EI)

[26].Wenjiang Huang, Zhijie Wang, Linsheng Huang, David W. Lamb, Zhihong Ma, Jincheng Zhang, Jihua Wang, Chunjiang Zhao. Estimation of vertical distribution of chlorophyll concentration by bi-directional canopy reflectance spectra in winter wheat. Precision Agriculture, 2011, 12(2): 165-178. (SCI, IF=1.929)

[27].Wenjiang Huang, Juhua Luo, Jingcheng Zhang. Predicting wheat aphid using 2-dimenaional feature space based on multi-temporal landsat TM, IGARSS, 2011, 1830-1833. (EI)

[28].Wenjiang Huang, Xiaoyu Song, Zheng Niu, W. L. David, Liangyun Liu, Jihua Wang. Estimation of winter wheat grain crude protein content from in situ reflectance and advanced spaceborne thermal emission and reflection radiometer image. Journal of Applied Remote Sensing, 2008, 2(1): 023530. (SCI, IF=1.183)

[29].Wenjiang Huang, Jihua Wang, Xiaoyu Song, Chunjiang Zhao, Liangyun Liu. Wheat Grain Quality Forecasting by Canopy Reflected Spectrum. Computer And Computing Technologies In Agriculture, Volume II. Springer US, 2008: 1299-1301. 

[30].Wenjiang Huang, W. L. David, Zheng Niu, Liangyun Liu, Jihua Wang. Identification of yellow rust in wheat by in situ and airborne spectrum data. Precision Agriculture. 2007,8 (4-5): 187-197. (SCI, IF=1.929)

[31].Wenjiang Huang, Jihua Wang, Chunjiang Zhao, Xiaoyu Song, Liangyun Liu. Predicting Grain Protein Content by in situ Reflected Spectrum in Winter Wheat,  Lecture Series on Computer and Computational Sciences, 2007, 8: 323-324 (ISTP)

[32].Wenjiang Huang, Zheng Niu, Jihua Wang, Liangyun Liu, Chunjiang Zhao, Qiang Liu. Identifying Crop Leaf Angle Distribution Based on Two- Temporal and Bidirectional Canopy Reflectance. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44 (12): 3601-3609. (SCI, IF=3.514)

[33].Wenjiang Huang, Muyi Huang, Liangyun Liu, Jihua Wang, Chunjiang Zhao,  Jindi Wang. Inversion of the severity of winter yellow rust using proper spectral index. Transactions of the Chinese Society of Agricultural Engineering, 2005, 21(4):97-103. (EI)

[34].Wenjiang Huang, Jihua Wang, Wang Zhijie, et al. Inversion of foliar biochemical parameters at various physiological stages and grain quality indicators of winter wheat with canopy reflectance, International Journal of Remote Sensing, 2004, 25 (12): 2409-2419. (SCI, IF=1.852)

[35].Wenjiang Huang, Jihua Wang, Liangyun Liu et al. Inversion of biochemical parameters by selection of proper vegetation index in winter wheat, Agricultural Sciences in China, 2004, 3(3): 178-185.

[36].Wenjiang Huang, Jihua Wang, Liangyun Liu et al. Cultivar, nitrogen and irrigation influence on grain quality and its forecasting methods by in situ reflected spectrum of winter wheat, Agricultural Sciences in China, 2004 , 3(11): 831-841.

[37].Wenjiang Huang, Jihua Wang, Liangyun Liu et al. Correlation between grain quality indicators and spectral reflectance properties of wheat canopies by using hyperspectral data from winter wheat , Transactions of the Chinese Society of Agricultural Engineering, 2004,20(4): 203-207

[38].Wenjiang Huang, Jihua Wang, Liangyun Liu et al. Study on grain quality effecting factors and monitoring methods by using hyperspectral data in winter wheat. Remote Sensing Technology and Application, 2004,19(3):143-148

[39].Wenjiang Huang, Jihua Wang, Liangyun Liu et al. The red edge parameters diversification disciplinarian and its application for nutrition diagnosis, Remote Sensing Technology and Application, 2003,18(4): 206-212 

[40].Wenjiang Huang, Jihua Wang, Chunjiang Zhao, et al，Studies on the osmotic regulated substance and the hormone content of dry cultivation rice. Agricultural research in the arid areas,2002, 20 (1): 61-64

[41].Wenjiang Huang, Jihua Wang, Chunjiang Zhao, et al. The red edge parameters diversification and their application in winter wheat. Computer Engineering, 2002, 28 (z1): 154-159. 

[42].Wenjiang Huang, Jihua Wang, Chunjiang Zhao, et al，Studies on the physiological characteristics and water-saving mechanism at pregnancy stage of dry cultivation rice, Zuo wu xue bao, 2001, 28(3): 411-416.

[43].Wenjiang Huang, Hongchun Yuan, Jihua Wang, et al，The forecasting model of rice yield based on BP model, Computer& Agriculture, 2000,10: 21-23

[44].Juhua Luo, Chunjiang Zhao, Wenjiang Huang*, Jinling Zhao, Jingcheng Zhang, Dong Yingying. Discriminating Wheat Aphid Damage Degree Using 2-Dimensional Feature Space Derived from Landsat 5 TM. Sensor Letters，2012,10 (1): 608-614. (SCI)

[45].Juhua Luo, Wenjiang Huang*, Lin Yuan, Chunjiang Zhao, Shizhou Du, Jingcheng Zhang, Jinling Zhao. Evaluation of spectral indices and continuous wavelet analysis to quantify aphid infestation in wheat. Precision Agriculture, 2012, DOI: 10.1007/s11119-012-9283-4. (SCI)

[46].Jinling Zhao, Wenjiang Huang*, Dongyan Zhang, Juhua Luo, Jingcheng Zhang, Linsheng Huang, Shilin Chen. Characterization and Identification of Leaf-scale Wheat Powdery Mildew Using a Ground-based Hyperspectral Imaging System. Disaster Advances, 2012, 5(4): 174-179.  (SCI)

[47].Jinling Zhao, Dongyan Zhang, Juhua Luo, Hao Yang, Yingying Dong, Wenjiang Huang*. A Comparative Study on Monitoring Leaf-Scale Wheat Aphids using Pushbroom Imaging and Non-imaging ASD Field Spectrometers. International Journal of Agriculture and Biology, 2012, 14(1): 136-140. (SCI)

[48].Dongyan Zhang, Guijun Yang, Xiaoyu Song, Zhijie Wang, Dacheng Wang, Jinling Zhao, Linsheng Huang, and Wenjiang Huang*.In-Situ Calibration of Relative Reflectance for Visible/Near-Infrared Imaging Spectrometer. Sensor Letters, 2012, 10 (1-2): 198-204. (SCI, IF=0.819)

[49].Jinling Zhao, Dongyan Zhang, Juhua Luo, Dacheng Wang, Wenjiang Huang*. Detection and Mapping of Hail Damage to Corn using Domestic Remotely Sensed Data of China. Australian Journal of Crop Science, 2012, 6(1): 101-108(SCI)

[50].Jingcheng Zhang, Wenjiang Huang *, Detecting powdery mildew of winter wheat using leaf level hyperspectral measurements，Computers and Electronics in Agriculture，10.1016/j.compag. 2012.03.006 (SCI)

[51].Jinling Zhao, Wenjiang Huang, Dongyan Zhang, Juhua Luo, Jingcheng Zhang, Linsheng Huang, Shilin Chen. Characterization and Identification of Leaf-scale Wheat Powdery Mildew Using a Ground-based Hyperspectral Imaging System. Disaster Advances. 2012.

[52].Juhua Luo, Wenjiang Huang*, Jingcheng Zhang, Xingang Xu, Dacheng Wang. The Preliminary Study on Spectral Response of Wheat under Different Stresses between Field and Satellite Remote Sensing. Sensor Letters, 2011, 9 (3): 1225-1228. (SCI)

[53].Juhua Luo, Jingcheng Zhang, Wenjiang Huang*, Xingang Xu, Ning Jin, Preliminary Study on the Relationship between Land Surface Temperature and Occurrence of Yellow Rust in Winter Wheat，Disaster Advances, 2010, 3 (4):288-292（SCI）

[54].Jinling Zhao, Wenjiang Huang*, Dongyan Zhang, Linsheng Huang, Juhua Luo. Estimating Field-Scale Soil Nutrient Levels in Shunyi District, Beijing. Procedia Engineering, 2012, 29: 3154-3159. (EI) 

[55].Jinling Zhao, Lin Yuan, Juhua Luo, Shizhou Du, Linsheng Huang, Wenjiang Huang*. Spectral differences of opposite sides of stripe rust infested winter wheat leaves using ASD’s Leaf Clip. 2012 IEEE International Geoscience and Remot Sensing Symposium (IGARSS), 6585-6588. (EI)

[56].Jinling Zhao, Dongyan Zhang, Juhua Luo, Linsheng Huang, Yingying Dong, Wenjiang Huang*.  Detection and Mapping of Hail Damage to Corn using Domestic Remotely Sensed Data in China. Australian Journal of Crop Science, 2012, 6(1):101-108.

[57].Jinling Zhao,Dongyan Zhang, Juhua Luo, Yingying Dong, Hao Yang, Wenjiang Huang*.  Characterization of the Rice Canopy Infested with Brown Spot Disease Using Field Hyperspectral Data. Wuhan University Journal of Natural Sciences, 2012, 17(1): 86-92. 

[58].Jinling Zhao, Dongyan Zhang, Juhua Luo, Dacheng Wang, Wenjiang Huang*. A Comparative Study on Monitoring Leaf-Scale Wheat Aphids using Pushbroom Imaging and Non-imaging ASD Field Spectrometers. CCTA 2011, Part II, IFIP AICT 369, pp. 275–282, 2012. (EI) 

[59].Jinling Zhao，Dacheng Wang，Dongyan Zhang, Juhua Luo, Wenjiang Huang*. Assessing the Soil Fertility using Landsat TM Imagery and Geospatial Statistical Analysis. Advanced Materials Research, 2012, 347-353: 3559-3563. (EI)

[60].Jinling Zhao, Dongyan Zhang, Dacheng Wang, Wenjiang Huang*. Integrating Landsat TM Imagery and See5 Decision-tree Software for Identifying Croplands: A Case Study in Shunyi District, Beijing. WISM 2011, Part I, LNCS 6987, pp. 251--258. Springer, Heidelberg. (EI)

Editorial board:

Remote Sensing

CABI Agriculture and Bioscience (CABI A&B) ---Associate Editor

Journal of Agricultural Science and Application

International Journal of Agricultural and Biological Engineering

Indo-American Journal of Agricultural and Veterinary Sciences 

Reviewer:

Remote sensing of environment

International Journal of Remote Sensing

IEEE Transactions on Geoscience and Remote Sensing

Journal of Remote Sensing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Precision Agriculture 

Sensor Letters