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About RSCROP Lead Researcher
teachers Lead Researcher
Huang Wenjiang

Huang Wenjiang

As a Distinguished Researcher and PhD supervisor at CAS, Dr. Huang Wenjiang now works at Institute of Remote Sensing and Digital Earth of CAS, serving as Deputy Director of CAS Key Laboratory of Digital Earth Sciences and Director of China-UK Crop Pest and Disease Forecasting & Management Joint Laboratory. Dr. Huang has been included in multiple talent recruitment programs, such as the National Program for Special Support of Eminent Professionals (Ten Thousand Talent Program), the National Young and Middle-aged Leading Scientists, Engineers and Innovators Program, CAS Hundred Talents Program (recognized as outstanding in the annual performance review), the National New Century Millions of Talents Project, and Beijing Nova Program, and enjoys the Special Allowance of the State Council.

Up to date, Dr. Huang has:

1.chaired more than 30 major projects that have been supported by the National Key R&D Program of China, NSFC, CAS Major International Cooperation Projects, or Special Fund for Agro-scientific Research in the Public Interest;

2.obtained over 10 awards, including the Second Prize of the National Award for Scientific and Technological Progress, the First Prize of the Shennong China Agricultural Science and Technology Award, the First Prize of Progress Award for Surveying and Mapping Science, and Distinguished Scientific Achievement Award of CAS;

3.published more than 400 academic papers, over 200 of which have been included in the SCI-indexed journals. In the database of SCIE web of science, Dr. Huang is the world’s most published author in the fields of “hyperspectral + inversion” and “remote sensing + crop disease”.

4.compiled 7 books, namely Inversion of Crop Physical and Chemical Parameters Through Quantitative Remote Sensing, Remote Sensing for Monitoring and Forecasting Crop Diseases, Mechanism and Application of Remote Sensing for Monitoring Crop Diseases, Basics and Applications of Quantitative Remote Sensing in the Agricultural Sector, and Models and Methodology for Assessing Natural Disasters.

5.boasted 31 patents (6 patents as the first inventor and another 6 patents as the second inventor), together with 10 software copyrights registered.

Moreover, Dr. Huang is a member of Soil Science Society of China, Beijing Association of Agricultural Product Safety, and the expert panel of National Aviation Plant Protection Science Technology Innovation Alliance. He also works as an expert in evaluating projects for NSFC and Ministry of Science and Technology of China. He is not only an editorial board member of three SCI-indexed journals, namely Journal of Agricultural Science and Application, Indo-American Journal of Agricultural and Veterinary Sciences, and International Journal of Agricultural and Biological Engineering, but also a member of IFIP and TC5 Special Interest Group on Advanced Information Technology in Agriculture (AIPA).

Education and Experience

2012 - Present, Institute of Remote Sensing and Digital Earth of CAS (Center for Earth Observation and Digital Earth), Researcher/CAS Hundred Talents Program

2000 - 2011, Beijing Academy of Agriculture and Forestry Sciences

2008, Institute of Remote Sensing Applications of CAS, Postdoctoral Researcher.

2005, Beijing Normal University, Doctor of Science in Cartography and Geographic Information System

Research Areas: quantitative remote sensing of vegetation

Talent Programs: CAS Hundred Talents Program and the National Young and Middle-aged Leading Scientists Engineers and Innovators Program

Position: Deputy Director of CAS Key Laboratory of Digital Earth Sciences

Major Research Projects

[1] 2016.07-2020.12, National Key R&D Program of China: Three-dimensional Coordinated Observation through Remote Sensing and High-precision Inversion of Land Surface Parameters (2016YFB0501501);

[2] 2016.04-2019.04, NSFC International Cooperation Key Program: Integrating Advanced Earth Observation and Environmental Information for Sustainable Management of Crop Pests and Diseases (6151101285);

[3] 2016.01-2019.12, NSFC: Study on Spectrum Diagnosis Mechanism and Method of Crop Nutrient Stress Through Carotenoid (41571354);

[4] 2013.01-2016.12, NSFC: Study on Wheat Diseases Identification and Monitoring Through Multisource Data-based Remote Sensing (41271412);

[5] 2011.01-2013.12, NSFC: Study on Extended Remote Sensing Monitoring of Crop Nutrients from Spatial and Temporal Dimensions (41071276);

[6] 2015.03-2018.03, Key Project of International Cooperation (Sino-British Joint Fund): Remote Sensing Monitoring and Early Warning of Main Crop Diseases and Pests (131211KYSB20150034);

[7] 2015.01-2016.12, project supported by Director Innovation Funds: Establishment of the Monitoring and Forecasting System for Main Crop Diseases and Pests in China (Y5ZZ01101B);

[8] 2016.01-2017.12, project of Hainan Natural Science Foundation Innovation Team: Remote Sensing of the Environment and Natural Resources in Hainan Province (2016CXTD015);

[9] Project supported by Special Funds for Applied Technology Research and Demonstration in Hainan Province: Research and Demonstration of Remote Sensing Monitoring and Spatial Service Technology for Agricultural Disasters in Hainan Province (ZDXM2015102);

[10] 2012.05-2015.05, Principal Investigator of the project supported by CAS Hundred Talents Program: Inversion and Authenticity Test of Vegetation Quantitative Remote Sensing Parameters (Y24001101A), research grant: RMB¥1.5 million;

[11] 2010.10-2014.09, project included in Program 973: Estimation and Uncertainty Analysis of Carbon Sequestration in China’s Terrestrial Ecosystem Based on Multi-source Remote Sensing Data (2010CB950603);

[12] 2009.10-2013.09, project supported by Special Fund for Agro-scientific Research in the Public Interest: Remote Sensing Technology for Monitoring Wheat Growth Condition (200903010-03);

[13] 2007.05-2010.10, project included in 863 Program: Access to Crop Information Through a Combined Usage of Spectrum Detection and Radiative Transfer Models (2007AA10Z201);

[14] 2008.01-2010.12, NSFC: Study on Remote Sensing Identification Mechanism of Crop Plant Types (40701119).

Honors & Awards

[1] 2015, Second Prize of DaBeiNong Science and Technology Award: Molecular Detection of Early-stage Wheat Stripe Rust and the Application of Remote Sensing Monitoring Technology (2015-DBNSTA-03-015);

[2] 2014, First Prize of Progress Award for Surveying and Mapping Science: Innovation and Application of Key Technologies for Quantitative Remote Sensing of Agricultural Production Condition Based on Multi-source Spatial and Temporal Information (2014-01-01-05);

[3] 2010, Second Prize of the National Award for Scientific and Technological Progress: Key Technological Products and System for Measurement and Control in Digital Agriculture (2010-J-251-2-02-R04);

[4] 2009, Third Prize of the Shennong China Agricultural Science and Technology Award: Research and Application of Quantitative Remote Sensing of Main Crops (KJ2009-G3-014-02);

[5] 2008, Second Prize of Beijing Agricultural Technology Popularization Award: Application of 3S Technologies in the Development of Urban Agriculture in Beijing, Co-investigators: Li Cunjun, Liu Gang, Huang Wenjiang, Yan Xiaojun, Hou Fuqiang, 

Song Xiaoyu, Qin Xiangyang, Xu Xingang, Wang Dongli, Sun Haijiang, Liu Yang, and Wang Baojun (November 2018, the People’s Government of Beijing Municipality);

[6] 2007, Third Prize of Beijing Science and Technology Award: Research and Demonstration of Quantitative Remote Sensing Technology in the Agricultural Sector (2007 Agriculture-3-007-04);

[7] 2006, First Prize of Beijing Science and Technology Award: Research and Demonstration of Key Technologies in Precision Agriculture (2006 Agriculture -1-004-12).

Publications

Dr. Huang has published six books in total as the editor-in-chief or associate editor, including Inversion of Crop Physical and Chemical Parameters Through Quantitative Remote Sensing, Remote Sensing for Monitoring and Forecasting Crop Diseases, Mechanism and Application of Remote Sensing for Monitoring Crop Diseases, and Basics and Applications of Quantitative Remote Sensing in the Agricultural Sector.

Academic Papers

[1]. 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; DOI:10.1109/JSTARS.2013.2294961 (SCI-indexed Journal)

[2]. 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; DOI:10.3390/s141120347. (SCI-indexed Journal)

[3]. 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: 165-178 (SCI-indexed Journal)

[4]. 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, Vol. 2, 023530, DOI: 10.1117/1.2968954 2009 (SCI-indexed Journal)

[5]. 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-indexed Journal).

[6]. 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-indexed Journal).

[7]. Huang Wenjiang,Wang Jihua, Wang Zhijie, Zhao Chunjiang, Liu Liangyun, Wang Jindi. 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-indexed Journal).

Patents

[1] Leaf Area Index Inversion Method and Device Based on Remote Sensing Images (ZL201310182889.5) (Inventors: Huang Wenjiang, Yang Qinying, Liu Liangyun, Peng Dailiang, Shen Qian, and Ni Li), Date of Issue: 2015.12.02, IPC Code: G01B11/28.

[2] A Kind of Remote Sensing Inversion Accuracy Detection Method and Device (ZL 201210343165.X) (Inventors: Huang Wenjiang, Xie Qiaoyun, Peng Dailiang, Zhang Bing, Liu Liangyun, Shen Qian, and Sun Gang), Date of Issue: 2015.08.05, IPC Code: G01C11/00.

[3] Method and Device for Measuring Vegetation Spatial Distribution State (ZL201210339810.0) (Inventors: Huang Wenjiang, Liu Liangyun, Yang Guijun, Sun Gang, Shen Qian, Peng Dailiang, and Zhang Qing), Date of Issue: 2015.02.04, IPC Code: G01C11/00.

[4] Observation Device and Method (ZL201110178750.4) (Inventors: Huang Wenjiang, Zhang Dongyan, Wang Zhijie, Wang Xiu, Wang Jihua, Sun Gang, Yang 

Guijun, Ma Wei, Song Xiaoyu, Ma Zhihong, and Chen Hong), Date of Issue: 2012.06.29.

[5] Disease Detecting Instrument and Method (ZL200810055874.1) (Inventors: Huang Wenjiang, Wang Jihua, Zhao Chunjiang, Sun Gang, Zheng Wengang, Xu Xingang, Song Xiaoyu, Yang Yueying, Li Cunjun, and Wang Pengfei), Date of Issue: 2012.03.07.

[6] Measurement and Measuring Device for Crop Crown Layer Pigment Ratio (ZL200410074311.9) (Inventors: Huang Wenjiang, Zheng Wengang, Sun Gang, Liu Liangyun, Wang Jihua, and Zhao Chunjiang), Date of Application: 2004.09.09, Date of Issue: 2009.04.22, Patent Code: 489253.

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