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教授

黄健熙

发布日期:2018-08-07浏览次数:信息来源:土地科学与技术学院

姓名: 黄健熙
性别: 男
职称: 教授/博士生导师
职务: 地理信息工程系主任,农业农村部农业灾害遥感重点实验室副主任     
Email: jxhuang@cau.edu.cn        
办公电话: 010-62737855
办公地址: 信电楼509室

  教育背景

1995.09-1999.07 武汉测绘科技大学 地图学与地理信息系统 本科 理学学士

1999.09-2002.07 武汉大学 地图学与地理信息系统 理学硕士

2002.09-2006.07 中国科学院遥感应用研究所 地图学与地理信息系统 理学博士

  工作履历

2006.09-2008.09      清华大学  遥感应用博士后

2008.09-2008.12      中国农业大学  信息与电气工程学院 讲师

2008.12-2017.12      中国农业大学  信息与电气工程学院 副教授

2013.05-2014.05   美国马里兰大学  访问学者

2017.10-2017.11   伦敦大学学院    访问学者

2007.12-2018.12      中国农业大学  土地科学与技术学院 副教授

2018.12-                    中国农业大学  土地科学与技术学院 教授

  学术兼职

Science of Remote Sensing副主编

Remote sensing期刊主题编委 (Topic editor)

Current Chinese Science (Field: Remote Sensing) 编委

Remote sensing期刊专刊 客座编辑(Guest editor)

《气象与环境科学》编委

中国地理信息产业协会教育与科普工作委员会委员

  研究领域

1. 农情遥感监测预警

2. 遥感与作物模型数据同化与农业应用

3. 农业灾害遥感监测与预警

4. 农业土地遥感大数据分析与应用

5. 遥感技术在黑土地保护与利用中的应用

6. 耕地质量遥感监测

  奖励荣誉

中国测绘科技进步一等奖(2019)1/15

神农中华农业科技进步一等奖(2017) 2/20

四川省科技进步二等奖(2020) 3/5

神农中华农业科技进步三等奖(2015) 8/10

大北农青年学者奖(2016)排名第一

中国农业大学研究生教育成果奖二等奖(2017) 2/10

中国农业大学优秀教师(2015, 2018)排名第一

  主持项目

1. 国家重点研发计划政府间专项项目,2018YFE0122700,中蒙牧草多源遥感监测关键技术研发,2020/01-2021/12,在研,主持

2. 国家重点研发计划项目子课题,华北地区长时间序列主要粮食作物种植面积遥感制图,2020/01-2024/12,在研,主持

3. 中英牛顿国际合作基金项目Sentinels of Wheat(ST/N006798/1), 2017.09-2020.10,在研,中方PI

4. 中英农业科技影响力开发基金项目-AMAZING- Advancing MAiZe INformation for Ghana, 2020.03-2022.03,在研,中方PI

5. 国家自然科学面上基金,同化日光诱导叶绿素荧光遥感数据与机理过程模型的区域冬小麦产量预测研究(4197010787),2020.01-2023.12 主持

6. 国家自然科学面上基金,同化遥感信息和作物模型的水分胁迫对玉米产量影响的预报方法研究(41671418),2017.01-2020.12 主持

7. 国家自然科学面上基金,遥感与作物模型多变量数据同化的区域冬小麦生长模拟研究(41371326),2014.01-2017.12 主持

8. 国家自然科学青年基金,遥感模型、气象模式与作物模型同化的冬小麦产量预测研究(40901161),2010.01-2012.12 主持

  学术成果

一、 发表文章: 

2020年

1. Jianxi Huang, Wen Zhuo, Ying Li, Ran Huang, Fernando Sedano, Wei Su, Jinwei Dong, Liyan Tian, Yanbo Huang, Dehai Zhu, Xiaodong Zhang, Comparison of three remotely sensed drought indices for assessing the impact of drought on winter wheat yield. International Journal of Digital Earth. DOI: 10.1080/17538947.2018.1542040(入选ESI高被引论文)

2. Huang Ran, Huang Jian-xi*, Zhang Chao, Ma Hong-yuan, Zhuo Wen, Chen Ying-yi, Zhu Dehai, Wu Qingling, Lamin R. Mansaray,Soil temperature estimation at different depths, using remotely sensed data. Journal of Integrative Agriculture,2020, 19(1): 277-290(入选ESI高被引论文)

3. Leikun Yin, Nanshan You, Geli Zhang, Jianxi Huang, Jinwei Dong. Optimizing Feature Selection of Individual Crop Types for Improved Crop Mapping, Remote Sensing. 2020, 12(1), 162

4. Quan Xiong , Yuan Wang , Diyou Liu , Sijing Ye , Zhenbo Du , Wei Liu , Jianxi Huang, Wei Su , Dehai Zhu , Xiaochuang Yao , and Xiaodong Zhang, A Cloud Detection Approach Based on Hybrid Multispectral Features with Dynamic Thresholds for GF-1 Remote Sensing Images, Remote Sensing, 2020, 12, 450

5. Yang Song , Jing Wang, Qiang Yu,Jianxi Huang,Using MODIS LAI Data to Monitor Spatio-Temporal Changes of Winter Wheat Phenology in Response to Climate Warming. Remote Sensing. 2020, 12, 786

6. Qiong Hu, Jingya Yang, Baodong Xu, Jianxi Huang, Muhammad Sohail Memon, Gaofei Yin, Yelu Zeng, Jing Zhao and Weiliang Fan,Evaluation of Global Decametric-resolution LAI, FAPAR and FVC Products Derived from Sentinel-2 Imagery, Remote Sensing. 2020, 12, 912;

7. Yuan Li , Yi Dong , Dongqin Yin , Diyou Liu , Pengxin Wang , Jianxi Huang,Zhe Liu and Hongshuo Wang,Evaluation of Drought Monitoring Effect of Winter Wheat in Henan Province of China Based on Multi-Source Data, Sustainability 2020, 12, 2801.

8. Xinlei Wang, Jianxi Huang*, Quanlong Feng and Dongqin Yin,Winter Wheat Yield Prediction at County Level and Uncertainty Analysis in Main Wheat-producing Regions of China with Deep Learning Approaches,Remote Sensing. 2020, 12(11):1744

9. Wen Zhuo, Jianxi Huang*, Xinran Gao, Hongyuan Ma, Hai Huang, Wei Su, Jihua Meng, Ying Li, Huailiang Chen, Dongqin Yin, Prediction of winter wheat maturity dates through assimilating remotely sensed leaf area index into crop growth model Remote sensing. Remote Sensing.2020,12,2896

10. Jie Dong , Yangyang Fu, Jingjing Wang, Haifeng Tian, Shan Fu, Zheng Niu, Wei Han, Yi Zheng, Jianxi Huang, Wenping Yuan, Early season mapping of winter wheat in China based on Landsat and Sentinel images, Earth System Science Data, 12,3081-3095,2020. https://doi.org/10.5194/essd-2020-69

11. Zhiqiang Cheng, Jihua Meng, Jiali Shang , Jiangui Liu, Jianxi Huang, Yanyou Qiao Budong Qian, Qi Jing, Taifeng Dong and Lihong Yu ,Generating Time-Series LAI Estimates of Maize Using Combined Methods Based on Multispectral UAV Observations and WOFOST Model, Sensors 2020, 20, 6006; doi:10.3390/s20216006

12. Wen Zhuo, Jianxi Huang *, Xinran Gao, Hongyuan Ma, Hai Huang, Wei Su, Jihua Meng, Ying Li, Huailiang Chen, Dongqin Yin, Prediction of winter wheat maturity dates through assimilating remotely sensed leaf area index into crop growth model Remote sensing. Remote Sens.2020,12,2896

13. Tian, H., Pei, J., Huang, J., Li, X.C., Wang, J., Zhou, B., Qin, Y., & Wang, L. 2020. Garlic and Winter Wheat Identification Based on Active and Passive Satellite Imagery and the Google Earth Engine in Northern China, Remote Sensing, 12, 3539. doi: 10.3390/rs12213539 .

14. Nanshan You, Jinwei Dong, Jianxi Huang, Guoming Du, Geli Zhang, Yingli He, Tong Yang, Yuanyuan Di, and Xiangming Xiao, The 10-m crop type maps in Northeast China during 2017-2019,Scientific Data

15. 董金玮,吴文斌,黄健熙,尤南山,何盈利,闫慧敏,农业土地利用遥感信息提取的研究进展与展望,地球信息科学学报,第22卷,第四期.

2019年:

1. Jianxi Huang*, Jose L Gómez-Dans, Hai Huang, Hongyuan Ma, Qingling Wu, Philip E Lewis, Shunlin Liang, Zhongxin Chen, Jing-Hao Xue, Yantong Wu, Feng Zhao, Jing Wang, Xianhong Xie. Assimilation of remote sensing into crop growth models: current status and perspectives. Agricultural and Forest Meteorology. 2019, 276-277, 107609, https://doi.org/10.1016/j.agrformet.2019.06.008

2. Jianxi Huang*, Hongyuan Ma, Fernando Sedano , Phillip Lewis, Shunlin Liang, Qingling Wu, Wei Su , Xiaodong Zhang, Dehai Zhu, Evaluation of regional estimates of winter wheat yield by assimilating three remotely sensed reflectance datasets into the coupled WOFOST–PROSAIL model. European Journal of Agronomy. 2019,102, pp.1-13. https://doi.org/10.1016/j.eja.2018.10.008

3. Wei Su, Jianxi Huang, Desheng Liu and Mingzheng Zhang , Retrieving Corn Canopy Leaf Area Index from Multitemporal Landsat Imagery and Terrestrial LiDAR Data, Remote Sensing. 2019, 11(5), 572; https://doi.org/10.3390/rs11050572

4. Mingzheng Zhang, Dehai Zhu, Wei Su, Jianxi Huang, Xiaodong Zhang and Zhe Liu.Harmonizing Multi-Source Remote Sensing Images for Summer Corn Growth Monitoring, Remote Sensing. 2019, 11(11), 1266; https://doi.org/10.3390/rs11111266

5. Hao Jiang, Dan Li, Wenlong Jing, Jianhui Xu, Jianxi Huang, Ji Yang and Shuisen Chen

Early Season Mapping of Sugarcane by Applying Machine Learning Algorithms to Sentinel-1A/2 Time Series Data: A Case Study in Zhanjiang City, China. Remote Sensing. 2019, 11(7), 861; https://doi.org/10.3390/rs11070861

6. Ning Yang, Diyou Liu, Quanlong Feng, Xiong Quan, Lin Zhang, Tianwei Ren, Yuanyuan Zhao, Dehai Zhu, Jianxi Huang *,Large-Scale Crop Mapping Based on Machine Learning and Parallel Computation with Grid,Remote Sensing. 2019, 11(12), 1500; https://doi.org/10.3390/rs11121500

7. Wen Zhuo, Jianxi Huang, Li Li, Xiaodong Zhang, Hongyuan Ma, Xinran Gao, Hai Huang, Baodong Xu and Xiangming Xiao, Assimilating Soil Moisture Retrieved from Sentinel-1 and Sentinel-2 Data into WOFOST Model to Improve Winter Wheat Yield Estimation, Remote Sensing. 2019, 11(13), 1618; https://doi.org/10.3390/rs11131618

8. Wei Su, Mingzheng Zhang, Dahong Bian, Zhe Liu *, Jianxi Huang, Wei Wang, Jiayu Wu, Hao Guo,Phenotyping of corn plants using unmanned aerial vehicle (UAV) images,Remote Sensing. https://www.mdpi.com/2072-4292/11/17/2021

9. Mingzheng Zhang, Wei Su, Yuting Fu, Dehai Zhu, Jing-Hao Xue, Jianxi Huang , Wei Wang, Jiayu Wu , Chan Yao, Super-resolution enhancement of Sentinel-2 image for retrieving LAI and chlorophyll content of summer corn, European Journal of Agronomy, 2019, 111, 125938. https://www.sciencedirect.com/science/article/pii/S1161030119300759

10. Wei Su, Zhongping Sun, Wen-hua Chen, Xiaodong Zhang, Chan Yao, Jiayu Wu, Jianxi Huang and Dehai Zhu. Joint Retrieval of Growing Season Corn Canopy LAI and Leaf Chlorophyll Content by Fusing Sentinel-2 and MODIS Images. Remote Sensing. 2019, 11, 2409; https://www.mdpi.com/2072-4292/11/20/2409

11. Jianxi Huang*, Wen Zhuo, Ying Li*, Ran Huang, Fernando Sedano, Wei Su, Jinwei Dong, Liyan Tian, Yanbo Huang, Dehai Zhu, Xiaodong Zhang, Comparison of three remotely sensed drought indices for assessing the impact of drought on winter wheat yield. International Journal of Digital Earth. DOI: 10.1080/17538947.2018.1542040

12. Huang Ran, Huang Jian-xi*, Zhang Chao, Ma Hong-yuan, Zhuo Wen, Chen Ying-yi, Zhu Dehai, Wu Qingling, Lamin R. Mansaray,Soil temperature estimation at different depths, using remotely sensed data,Journal of Integrative Agriculture,2020, 19(1): 277-290

2018年:

1. Feng Zhao*, Rong Li, Wout Verhoef, Sergio Cogliati, Xinjie Liu, Yanbo Huang, Yiqing Guo, Jianxi Huang,Reconstruction of the full spectrum of solar-induced chlorophyll fluorescence: intercomparison study for a novel method. Remote Sensing of Environment,2018,219,pp.233-246, https://doi.org/10.1016/j.rse.2018.10.021

2. Wei Su, Dehai Zhu, Jianxi Huang, Hao Guo,Estimation of the vertical leaf area profile of corn (Zea mays) plants using terrestrial laser scanning (TLS), Computers and Electronics in Agriculture, 150, pp. 5-13, July 2018,https://doi.org/10.1016/j.compag.2018.03.037

3. Sijing Ye, Diyou Liu, Xiaochuang Yao, Huaizhi Tang, Quan Xiong, Wen Zhuo, Zhenbo Du, Jianxi Huang, Wei Su, Shi Shen, Zuliang Zhao, Shaolong Cui, Lixin Ning, Dehai Zhu, Changxiu Cheng and Changqing Song,RDCRMG: A Raster Dataset Clean & Reconstitution Multi-Grid Architecture for Remote Sensing Monitoring of Vegetation Dryness. Remote Sensing. 2018, 10, 1376; https://doi.org/10.3390/rs10091376

4. 马鸿元, 黄健熙, 黄海, 张晓东, 朱德海,基于历史气象资料和WOFOST模型的区域产量集合预报,农业机械学报,2018, 49(9),  pp.257-266

5. 黄健熙, 黄海, 马鸿元, 李颖, 侯英雨, 何亮, 朱德海, 基于MCMC方法的WOFOST模型参数标定与不确定性分析, 农业工程学报,2018, 34(16), pp. 113-119

6. 黄健熙,黄海,马鸿元,卓文,黄然,高欣然,刘峻明,苏伟,李俐,朱德海,遥感与作物生长模型数据同化研究进展与展望,农业工程学报, 2018, 34(21), pp. 144-156

7. 黄健熙,赵剑桥,汪雪淼,解智琨,卓文,黄然, 基于遥感和气象的冬小麦生育期提取方法研究, 农业机械学报

2017年:

1. 黄健熙,侯矞焯,苏 伟,刘峻明,朱德海,基于GF-1 WFV 数据的玉米与大豆种植面积提取方法,农业工程学报,2017,33(7),pp.164-170.

2. 黄健熙,贾世灵, 马鸿元,侯英雨,何 亮,基于WOFOST 模型的中国主产区冬小麦生长过程动态模拟, 农业工程学报,2017,33(10),pp.222-228.

3. 黄健熙,侯矞焯,武洪峰,刘峻明,朱德海,基于时间序列MODIS 的农作物类型空间制图方法,农业机械学报,2017, 48(10),pp.142-147.

2016年:

1. Jianxi Huang*, Fernando Sedano, Yanbo Huang,Hongyuan Ma, Li Xinlu,  Shunlin Liang,Xiaodong Zhang, Jinlong Fan, Wenbin Wu. Assimilating a synthetic Kalman filter leaf area index series into the WOFOST model to estimate regional winter wheat yield. Agricultural and Forest Meteorology. 216,2016,pp. 188-202. (2016, 2017,2019年入选ESI高被引论文,2016年入选ESI热点论文)https://doi.org/10.1016/j.agrformet.2015.10.013

2. Jie Zhang, Qiaozhen Mu, Jianxi Huang*. Assessing the Remotely Sensed Drought Severity Index for Agricultural Drought Monitoring and Impact Analysis in North China. 2016, 63,  pp.296–309.  Ecological Indicators. https://doi.org/10.1016/j.ecolind.2015.11.062

3. 黄健熙,牛文豪,马鸿元,苏 伟,朱德海,卫星遥感和积温-辐射模型预测区域冬小麦成熟期,农业工程学报,2016,32(7),pp.152-157

4. 黄健熙,牛文豪,马鸿元,黄然,朱德海,基于时间序列HJ-1 A/B 卫星数据的冬小麦成熟期预测,农业机械学报,2016,47(11),pp.278-284

5. 黄健熙,罗倩,刘晓暄,张洁,基于时间序列MODIS NDVI 的冬小麦产量预测方法,农业机械学报,2016,47(2),pp. 295-301

2015年:

1. Jianxi Huang*, Liyan Tian, Shunlin Liang, Hongyuan Ma, Inbal Becker-Reshef, Wei Su, Yanbo Huang, Xiaodong Zhang, Dehai Zhu, Wenbin Wu. Improving winter wheat yield estimation by assimilation of the leaf area index from Landsat TM and MODIS data into the WOFOST model. Agricultural and Forest Meteorology. 204, 2015. pp. 106-121. 2015. https://doi.org/10.1016/j.agrformet.2015.02.001(2015-2019年入选ESI高被引论文)

2. Jianxi Huang, Hongyuan Ma, Wei Su*, Xiaodong Zhang, Yanbo Huang, Jinlong Fan, Wenbin Wu.  Jointly assimilating MODIS LAI and ET products into the SWAP model to estimate winter wheat yield. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2015,8(8), pp. 4060 - 4071.

3. Ran Huang, Chao Zhang,Jianxi Huang*, Dehai Zhu, Limin Wang, and Jia Liu. Mapping of daily mean air temperature in agricultural region using daytime and nighttime land surface temperature derived from TERRA- and AQUA-MODIS data. 2015 (7), pp.8728-8756. Remote Sensing. https://doi.org/10.3390/rs70708728

4. Su Wei, Sun Zhongping, Zhong Ruofei, Huang Jianxi*, Menglin Li, Jingguo Zhu , Keshu Zhang, Honggan Wu, Dehai Zhu. A new hierarchical moving-curve fitting algorithm for filtering LiDAR data for automatic DTM generation. International Journal of Remote Sensing. 2015, 36(14) , pp. 3616-3635.

5. B. Franch, E. F. Vermote, I. Becker-Reshef, M. Claverie, J. Huang, J. Zhang, C. Justice , J.A. Sobrino. Improving timeliness of winter wheat production forecast in the United States of America, Ukraine and China using MODIS data and NCAR Growing Degree Day. Remote Sensing of Environment. 2015, 161, pp.131-148. https://doi.org/10.1016/j.rse.2015.02.014

6. Feng Zhao , Yuguang Li , Xu Dai, Wout Verhoef , YiqingGuo , Hong Shang , Xingfa Gu , Yanbo Huang ,Tao Yu, Jianxi Huang. Simulated impact of sensor field of view and distance on field measurements of bidirectional reflectance factors for row crops. Remote Sensing of Environment, 2015,156 ,pp.129–142. https://doi.org/10.1016/j.rse.2014.09.011

7. 黄健熙*,马鸿元,田丽燕,王鹏新,刘峻明. 基于时间序列LAI和ET同化的冬小麦遥感估产方法比较. 农业工程学报, 2015, 31(4),pp.197-203.

8. 黄健熙*,李昕璐,刘帝佑,马鸿元,田丽燕,苏伟. 顺序同化三种时空分辨率LAI的冬小麦产量估测对比研究. 农业机械学报. 2015, 46 (1) , pp. 241-248.

9. 黄健熙, 张洁, 刘峻明, 马鸿元, 苏伟, 张晓东.农业干旱对冬小麦产量的影响分析. 农业机械学报. 2015, 46(3), pp. 167-173.

10. 黄健熙,李 荔,张 超,郧文聚,杨建宇,朱德海. 基于遥感蒸散发数据的耕地灌溉保证能力评价方法. 农业工程学报, 2015, 31(5) ,pp. 100-106.

11. 黄健熙, 卓文, 杨春喜, 李林, 张超, 刘佳.基于Landsat8卫星数据的蝗虫遥感监测方法研究.农业机械学报,2015,46(5). pp. 258-264.

2014年以及之前文章:

1. An Automated Method for Extracting Rivers and Lakes from Landsat Imagery, Jiang, H; Feng, M; Zhu, YQ; Lu, N; Huang, JX; Xiao, T. Remote Sensing , 2014 , 6(6),pp. 5067-5089  

2. Guannan Ma, Jianxi Huang*, Wenbin Wu, Jinlong Fan, Jinqiu Zou, Sijie Wu. Assimilation of MODIS-LAI into WOFOST model for forecasting regional winter wheat yield. Mathematical and Computer Modelling, 2013, 58(3-4), pp, 634-643. https://doi.org/10.1016/j.mcm.2011.10.038

3. Hongyuan Ma, Jianxi Huang*, Dehai Zhu, Junming Liu, Chao Zhang, Wei Su. Estimating regional winter wheat yield by assimilation of time series HJ-1 A/B into WOFOST-ACRM model. Mathematical and Computer Modelling, 2013,58(3-4), pp, 759-770. https://doi.org/10.1016/j.mcm.2012.12.028

4. Liyan Tian, Zhongxia Li, Jianxi Huang*, Limin Wang, Wei Su, Chao Zhang, and Junming Liu. Comparison of Two Optimization Algorithms for Estimating Regional Winter Wheat Yield by Integrating MODIS Leaf Area Index and World Food Studies Model. Sensor Letters. 2013,11, pp, 1261-1268

5. Wenbo Xu, Wenjuan Yu , Shaocai Jing, Zhaoxian Wang, Guoping Zhang, Jianxi Huang,Debris flow prediction models based on environmental factors and susceptible subarea classification in Sichuan, China, Natural Hazards , 2013, 67.869–878.

6. Wenbo Xu, Wenjuan Yu, Shaocai Jing ,Guoping Zhang, Jianxi Huang, Debris flow susceptibility assessment by GIS and information value model in a large-scale region, Sichuan Province (China),Natural Hazards, 2013, 65,1379–1392.

7. Wenbo Xu, Shaocai Jing, Wenjuan Yu, Zhaoxian Wang, Guoping Zhang, Jianxi Huang, A comparison between Bayes discriminant analysis and logistic regression for prediction of debris flow in southwest Sichuan, China, Geomorphology, 2013, 201 , 45-51.

8. Jianxi Huang, Yuan Zeng, Andres Kuusk, Bingfang Wu*, Lixin Dong, Kebiao Mao, Jinsong Chen. Inverting a forest canopy reflectance model to retrieve the overstorey and understorey leaf area index for forest stands. International Journal of Remote Sensing, 2011, 32 (22), pp.7591-7611.

9. Jianxi Huang*, Jingyu Xu, Xingquan Liu, Jia Liu, Limin Wang. Spatial distribution pattern analysis of groundwater nitrate nitrogen pollution in Shandong intensive farming regions of China using Neural Network method. Mathematical and Computer Modelling, 54(3-4), 2011, pp, 995-1004 .

10. Wei Su, Xiaodong Zhang, Zhen Wang, Xiaohui Su, Jianxi Huang*, Siquan Yang, Sanchao Liu. Analyzing disaster-forming environments and the spatial distribution of flood disasters and snow disasters that occurred in China from 1949 to 2000. Mathematical and Computer Modelling, 54(3-4), 2011, pp. 1069-1078.

11. Zeng, Yuan, Huang, Jianxi,Wu, Bingfang. Comparison of the inversion of two canopy reflectance models for mapping forest crown closure using imaging spectroscopy.  Canada Journal of remote sensing,2008, 34(3), pp. 235-244

12. 黄健熙*, 武思杰, 刘兴权, 马冠南, 马鸿元, 吴文斌, 邹金秋. 基于遥感信息与作物模型集合卡尔曼滤波同化的区域冬小麦产量预测. 农业工程学报, 2012, 28(04), pp.142-148.

 

二、国家发明专利(授权):

1. 黄健熙,苏伟,马鸿元,马冠南,张超; 同化叶面积指数时序曲线特征的冬小麦估产方法(专利号. ZL201210133136.0)

2. 黄健熙,田丽燕,马鸿元,苏伟,陈英义,刘峻明,张晓东,朱德海,张超. 一种基于尺度转换和数据同化的冬小麦产量估测方法. (专利号. ZL201410155913.0)

3. 苏伟,黄健熙,刘睿,张静潇,张超. 基于SEBAL-HJ模型的农作物生物量反演方法. (专利号.ZL201210147296.0)

4. 黄健熙,赵祖亮,刘哲,李绍明,马钦,安东,唐日晶,张晓东,朱德海,玉米品种种植适宜性精细区划方法与系统。(专利号. ZL201510242892.0)

 

三、出版著作:

1.空间信息技术原理及其应用,赵忠明,周天颖,严泰来,杨龙士,洪本善,张晓东,张超,杨建宇,王鹏新,黄健熙,汪承义,黄碧慧,孟瑜,黄青青,陈静波,杨健,穆青云,叶美伶,科学出版社,2013.

2. 众包地理知识-志愿式地理信息理论与实践, 张晓东、黄健熙,苏伟等译. 高等教育出版社。2019