毛方杰，男，1988年生，博士，副教授，硕士研究生导师，中国林学会会员，浙江农林大学第三批青年英才培养人员。2010年获海军工程大学计算机科学与技术学士学位，2013年获浙江农林大学森林经理学硕士学位，2016年获浙江农林大学竹资源与高效利用博士学位。2017年起为浙江农林大学环境与资源学院教师。2019年8月至2020年8月赴美国奥本大学气候与全球变化国际研究中心访学。教学上主要承担《数据结构与算法》、《智慧林业概论》、《C#程序设计》、《GIS设计与开发》、《遥感数字图像处理》等课程教学工作。研究兴趣主要为植被参数同化、森林碳汇监测与模拟以及森林响应全球气候变化方面的研究。近年来，主持国家自然科学基金等项目2项，参与国家自然科学基金重点/面上项目、浙江省自然科学基金等科研项目12项，发表一级期刊以上科研论文40余篇，其中SCI一、二区TOP论文各3篇，二区论文6篇。获浙江省科技兴林奖一等奖、梁希林业科学技术奖二等奖、梁希青年论文奖三等奖等奖项。
Email:mfangjie@gmail.com
近年来主持和参与的科研项目：
1.国家自然科学基金面上项目，未来气候情景下LUCC时空模拟及其对亚热带森林碳循环的影响机制研究(32171785)，2022-2024，参与（骨干）
2.省部共建亚热带森林培育国家重点实验室开放基金项目，基于多源遥感的森林碳循环关键驱动因子重建（KF202003），2020-2022，参与（骨干）
3.国家自然科学基金面上项目，集中连片特困地区退耕还林生态系统服务与退耕农户福祉过程耦合机理及生态补偿关键机制研究，2021-2023，参与
4.中国绿色碳汇基金会，森林碳汇监测与经营关键技术研究，2020-2022，参与
5.国家自然科学基金青年基金项目，亚热带森林碳循环对极端高温干旱的多尺度时空响应机制，2020-2022，主持
6.国家自然科学基金重点项目，城市森林资源智能监测及其生态功能智慧感知研究，2019-2022，参与（骨干）
7.国家自然科学基金面上项目，基于绿叶分离的毛竹林碳通量模拟及其年际变化调控机制研究，2019-2021，参与
8.浙江省自然科学基金一般项目，山地叶面积指数地面遥感观测方法研究，2018-2020，参与
9.浙江农林大学科研发展基金，浙江省毛竹林碳储量时空动态模拟研究，2017-2020，主持
10.国家自然科学基金面上项目，集合卡尔曼滤波耦合辐射传输模型的亚热带典型森林MODIS LAI时间序列同化，2016-2020，参与
11.浙江农林大学科研发展基金，山地森林冠层结构观测仪器和方法研究，2016-2017，参与
12.国家自然科学基金青年基金，毛竹林碳通量对极端干旱的响应机制与模型模拟研究，2016-2018，参与
13.浙江省杰出青年科学基金项目，遥感机理协同模型模拟的毛竹林净初级生产力反演及多尺度响应，2014-2017，参与
发表论文
1.Fangjie Mao, Huaqiang Du, Guomo Zhou, Junlong Zheng, Xuejian Li, Yanxin Xu, Zihao Huang, Shiyan Yin. Simulated net ecosystem productivity of subtropical forests and its response to climate change in Zhejiang Province, China. Science of The Total Environment, 2022 (838), 155993.
2.Fangjie Mao, Huaqiang Du, Xuejian Li, Hongli Ge, Lu Cui, Guomo Zhou. Spatiotemporal dynamics of bamboo forest net primary productivity with climate variations in Southeast China.Ecological Indicators. 2020(116), 106505.
3.Fangjie Mao, Guomo Zhou, Pingheng Li, Huaqiang Du, Xiaojun Xu, Yongjun Shi, Lufeng Mo, Yufeng Zhou, Guoqing Tu.Optimizing selective cutting strategies for maximum carbon stocks and yield of Moso bamboo forest using BIOME-BGC model.Journal of Environmental Management. 2017, 191, 126-135.
4.Fangjie Mao, Guomo Zhou, Huaqiang Du, Xuejian Li, Xiaojun Xu, Pingheng Li, Shaobo Sun.Coupled LAI assimilation and BEPS model for analyzing the spatiotemporal pattern and heterogeneity of carbon fluxes of the bamboo forest in Zhejiang Province, China.Agricultural and Forest Meteorology.2017, 242, 96-108.
5.Fangjie Mao, Xuejian Li, Huaqiang Du, Guomo Zhou, Ning Han, Xiaojun Xu, Yuli Liu, Liang Chen, Lu Cui.Comparison of two data assimilation methods for improving MODIS LAI time series for bamboo forests.Remote Sensing.2017, 9 (5), 401.
6.Fangjie Mao, Pingheng Li, Guomo Zhou, Huaqiang Du, Xiaojun Xu, Yongjun Shi, Lufeng Mo, Yufeng Zhou, Guoqing Tu.Development of the BIOME-BGC model for the simulation of managed Moso bamboo forest ecosystems.Journal of Environmental Management. 2016, 172, 29-39.
7.Xuejian Li#,Fangjie Mao#,Huaqiang Du#, Guomo Zhou, Xiaojun Xu, Ning Han, Shaobo Sun, Guolong Gao, Liang Chen. Assimilating leaf area index of three typical types of subtropical forest in China from MODIS time series data based on the integrated ensemble Kalman filter and PROSAIL model.ISPRS Journal of Photogrammetry and Remote Sensing.2017, 126, 68-78.
8.Huaqiang Du#,Fangjie Mao#,Guomo Zhou, Xiaojun Xu, Ning Han, Shaobo Sun, Guolong Gao, Lu Cui, Yangguang Li, Di'en Zhu, Yuli Liu, Liang Chen, Weiliang Fan, Pingheng Li, Yongjun Shi, Yufeng Zhou.Mapping global bamboo forest distribution using multisource remote sensing data.Journal of Selected Topics in Applied Earth Observations and Remote Sensing.2018, 11(5): 1458 – 1471.
9.Huaqiang Du#,Fangjie Mao#, Guomo Zhou, Xuejian Li, Xiaojun Xu, Ge Hongli, Lu Cui, Yuli Liu, Di'en Zhu, Yangguang Li. Estimating and analyzing the spatiotemporal pattern of aboveground carbon in bamboo forest by combining remote sensing data and improved BIOME-BGC model.Journal of Selected Topics in Applied Earth Observations and Remote Sensing.2018, 11(7): 2282 – 2295.
10.Xuejian Li#, Huaqiang Du#,Fangjie Mao#, Guomo Zhou, Liang Chen, Luqi Xing, Weiliang Fan, Xiaojun Xu, Yuli Liu, Lu Cui, Yangguang Li, Di'en Zhu, Tengyan Liu.Estimating bamboo forest aboveground biomass using EnKF-assimilated MODIS LAI spatiotemporal data and machine learning algorithms.Agricultural and Forest Meteorology. 2018, 256-257, 445-457.
11.Liang Chen, Guomo Zhou, Yuli Liu,Fangjie Mao*,Huaqiang Du, Xiaojun Xu, Pingheng Li, Xuejian Li.Diurnal and seasonal variations in carbon fluxes in bamboo forests during the growing season in Zhejiang province, China.Journal of Forestry Research. 2018, 4, 1-12.
12.Chenyan Gu, Huaqiang Du,Fangjie Mao,Ning Han, Guomo Zhou, Xiaojun Xu, Shaobo Sun, Guolong Gao. Global sensitivity analysis of PROSAIL model parameters when simulating Moso bamboo forest canopy reflectance.International Journal of Remote Sensing.2016, 37, 5270-5286.
13.Xiaojun Xu, Huaqiang Du, Guomo Zhou,Fangjie Mao,Pingheng Li, Weiliang Fan, Di'en Zhu.A method for daily global solar radiation estimation from two instantaneous values using MODIS atmospheric products.Energy. 2016, 111, 117-125.
14.Xiaojun Xu, Huaqiang Du, Guomo Zhou,Fangjie Mao, Xuejian Li, Di'en Zhu, Yangguang Li, Lu Cui. Remote estimation of canopy leaf area index and chlorophyll content in Moso bamboo (Phyllostachys edulis(Carrière)J.Houz.) forest using MODIS reflectance data.Annals of Forest Science.2018, 75:33.
15.Yuli Liu, Huaqiang Du, Frank Berninger, Guomo Zhou, Hong Jiang,Fangjie Mao, Xuejian Li, Liang Chen, Lu Cui, Yangguang Li, Di'en Zhu.Variability in the carbon cycle and its environmental controls in a Lei bamboo (Phyllostachys praecox) stand ecosystem.Journal of Environmental Management.2018, 223: 713-722.
16.Yangguang Li, Ning Han, Xuejian Li, Huaqiang Du,Fangjie Mao, Lu Cui, Tengyan Liu, Luqi Xing. Spatiotemporal estimation of bamboo forest aboveground carbon storage based on Landsat data in Zhejiang, China.Remote Sensing. 2018, 10: 898.
17.Yuli Liu, Guomo Zhou, Huaqiang Du, Frank Berninger,Fangjie Mao, Xuejian Li, Liang Chen, Lu Cui, Yangguang Li, Di'en Zhu. Soil respiration of a Moso bamboo forest significantly affected by gross ecosystem productivity and leaf area index in an extreme drought event.Peer J.2019, 6: e5747.
18.Xuejian Li#, Huaqiang Du*,Fangjie Mao, Guomo Zhou, Ning Han, Xiaojun Xu, Yuli Liu, Di'en Zhu, Junlong Zheng, Luofan Dong, Meng Zhang. Assimilating spatiotemporal MODIS LAI data with a particle filter algorithm for improving carbon cycle simulations for bamboo forest ecosystems.Science of the Total Environment. 2019, 694: 133803.
19.Junlong Zheng#,Fangjie Mao, Huaqiang Du*, Xuejian Li, Guomo Zhou, Luofan Dong, Meng Zhang, Ning Han, Tengyan Liu, Luqi Xing. Spatiotemporal simulation of net ecosystem productivity and its response to climate change in subtropical forests.Forest. 2019, 10(8): 708
20.Meng Zhang, Huaqiang Du, Guomo Zhou, Xuejian Li, Luofan Dong, Junlong Zheng, Hua Liu, Zihao Huang, Shaobai He. Estimating forest aboveground carbon storage in Hang-Jia-Hu using Landsat TM/OLI data and random forest model.Forests, 2019, 10(11): 1004
21.Xuejian Li#,Fangjie Mao, Huaqiang Du*, Guomo Zhou, Luqi Xing, Tengyan Liu, Ning Han, Yuli Liu, Di'en Zhu, Junlong Zheng, Luofan Dong, Meng Zhang. Spatiotemporal evolution and impacts of climate change on bamboo distribution in China.Journal of Environmental Management. 2019, 248: 109265.SCI二区
22.Yufeng Zhou, Guomo Zhou, Huaqiang Du, Yongjun Shi,Fangjie Mao, Yuli Liu, Lin Xu, Xuejian Li , Xiaojun Xu. Biotic and abiotic influences on monthly variation in carbon fluxes in on-year and off-year Moso bamboo forest.Trees, 2019, 33:153 - 169
23.Luofan Dong, Huaqiang Du,Fangjie Mao, Ning Han, Xuejian Li, Guomo Zhou, Di’en Zhu, Junlong Zheng, Meng Zhang, Luqi Xing, Tengyan Liu. Very high resolution remote sensing imagery classification using a fusion of random forest and deep learning technique—subtropical area for example.Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2019, 12(6), 958
24.Xuejian Li#, Huaqiang Du*,Fangjie Mao, Guomo Zhou, Luqi Xing, Tengyan Liu, Ning Han, Enbing Liu, Hongli Ge, Yuli Liu, Yangguang Li, Di'en Zhu, Junlong Zheng, Luofan Dong, Meng Zhang. Mapping spatiotemporal decisions for sustainable productivity of bamboo forest land.Land Degradation & Development, 2020, 31: 939-958
25.Xiaojun Xu#*, Guomo Zhou, Huaqiang Du,Fangjie Mao, Lin Xu, Xuejian Li, Lijuan Liu. Combined MODIS land surface temperature and greenness data for modeling vegetation phenology, physiology, and gross primary production in terrestrial ecosystems.Science of the Total Environment, 2020: 137948.
26.Meng Zhang#, Huaqiang Du#*,Fangjie Mao#, Guomo Zhou, Xuejian Li, Luofan Dong, Junlong Zheng, Di’en Zhu, Hua Liu, Zihao Huang. Spatiotemporal evolution of urban expansion using Landsat time series data and assessment of its influences on forests.ISPRS International Journal of Geo-Information, 2020, 9(2): 64.
27.Shaobai He, Huaqiang Du, Guomo Zhou, Xuejian Li,Fangjie Mao, Di’en Zhu, Yanxin Xu, Meng Zhang, Zihao Huang, Hua Liu, Xin Luo. Intelligent mapping of urban forests from high-resolution remotely sensed imagery using object-based U-Net-Densenet-Coupled network.Remote Sensing, 2020, 12(23): 3928
28.Jiayi Ji, Xuejian Li, Huaqiang Du,Fangjie Mao, Weiliang Fan, Yanxin Xu, Zihao Huang, Jingyi Wang, Fangfang Kang, Multiscale leaf area index assimilation for Moso bamboo forest based on Sentinel-2 and MODIS data.International Journal of Applied Earth Observation and Geoinformation, 2021, 104: 102519.
29.Xuejian Li, Huaqiang Du, Guomo Zhou,Fangjie Mao, Meng Zhang, Ning Han, Weiliang Fan, Hua Liu, Zihao Huang, Shaobai He, Tingting Mei. Phenology estimation of subtropical bamboo forests based on assimilated MODIS LAI time series data.ISPRS Journal of Photogrammetry and Remote Sensing, 2021, 173: 262-277.
30.Xuejian Li, Huaqiang Du, Guomo Zhou,Fangjie Mao, Junlong Zheng, Hua Liu, Zihao Huang, Shaobai He, Spatiotemporal dynamics in assimilated-LAI phenology and its impact on subtropical bamboo forest productivity.International Journal of Applied Earth Observation and Geoinformation, 2021, 96: 102267.
31.Hua Liu, Xuejian Li,Fangjie Mao, Meng Zhang, Di’en Zhu, Shaobai He, Zihao Huang, Huaqiang Du. Spatiotemporal evolution of fractional vegetation cover and its response to climate change based on MODIS data in the subtropical region of China.Remote Sensing, 2021, 13(5): 913.
32.Xin Luo, Huaqiang Du, Guomo Zhou, Xuejian Li,Fangjie Mao, Di'en Zhu, Yanxin Xu, Meng Zhang, Shaobai He, Zihao Huang. A novel query strategy-based rank batch-mode active learning method for high-resolution remote sensing image classification.Remote Sensing, 2021, 13(11): 2234.
33.Jingyi Wang, Huaqiang Du, Xuejian Li,Fangjie Mao, Meng Zhang, Enbin Liu, Jiayi Ji, Fangfang Kang, Remote sensing estimation of bamboo forest aboveground biomass based on geographically weighted regression.Remote Sensing, 2021, 13(15): 2962.
34.李雪建，毛方杰，杜华强，周国模，徐小军，李平衡，刘玉莉，崔璐．双集合卡尔曼滤波LAI同化结合BEPS模型的竹林生态系统碳通量模拟．应用生态学报，2016，27(12)：3797-3806．
35.陈亮，周国模，杜华强，刘玉莉，毛方杰，徐小军，李雪建，崔璐，李阳光，朱迪恩．基于随机森林模型的毛竹林CO2通量模拟及其影响因子分析．林业科学．2018，54 (8)：1-12.
36.张璐颖，李雪建，杜华强，崔璐，毛方杰，刘玉莉，李阳光，朱迪恩．PROSPECT5耦合4SAIL模型的亚热带典型森林冠层反射率时间序列模拟．应用生态学报，2017，28(8)：2461-2469．
37.杜华强，孙晓艳，韩凝，毛方杰．综合面向对象与决策树的毛竹林调查因子及碳储量遥感估算．应用生态学报．
38.朱迪恩，徐小军，杜华强，周国模，毛方杰，李雪建，李阳光．基于MODIS时间序列反射率数据的雷竹林LAI反演．应用生态学报．2018，29(7)：2391-2400．
39.崔璐，杜华强，周国模，李雪建，毛方杰，徐小军，范渭亮，李阳光，朱迪恩，刘腾艳，邢璐琪．决策树结合混合像元分解的中国竹林遥感信息提取．遥感学报．2019，23(1)：166-176．
40.李阳光，杜华强，毛方杰，李雪建，崔璐，韩凝，徐小军．基于时序Landsat数据的浙江省竹林信息提取及时空演变．林业科学．2019，55(3)：88-96．
41.刘腾艳，毛方杰*，李雪建，邢璐琪，董落凡，郑钧泷，张梦，杜华强．浙江省竹林地上碳储量的时空动态模拟及影响因素．应用生态学报．2019，30(5)：1743-1753．
42.尹世燕,毛方杰*,周国模,杜华强,李雪建,陈琦,闫梦洁．中国亚热带干旱多尺度时空格局及演变趋势研究．水土保持研究，2022，29(6).已录用
43.陈琦,毛方杰*,杜华强,李雪建,尹世燕,闫梦洁．中国亚热带极端降水时空演变及其对潜在净初级生产力的影响[J/OL]．生态学杂志:1-13[2022-07-31].https://kns-cnki-net.webvpn.zafu.edu.cn/kcms/detail/21.1148.Q.20220526.1120.009.html
专著
1.杜华强，周国模，徐小军著.竹林生物量碳储量遥感定量估算.科学出版社，北京，2012，参与编写
2.杜华强，周国模，毛方杰，韩凝著.竹林参数多源遥感反演.科学出版社，北京，2019
软件著作权
1.《BPNN_CA_Markov土地利用变化时空模拟软件系统V1.0》．2021，登记号：2021SR0117261
2.《城市森林高分遥感智能提取软件V1.0》，2020，登记号：2021SR0859741
3.《MODIS LAI产品同化软件V1.0》，登记号：2020SR0667781
4.《森林碳监测与碳循环数据自动处理软件》，登记号：2016SR349853
5.《竹林碳循环优化管理软件系统》，登记号：2016SR350810
奖励与荣誉
1.2021年，梁希林业科学技术奖二等奖；
2.2018年，梁希青年论文奖三等奖；
3.2018年，梁希林业科学技术奖二等奖；
4.2018年，浙江省科技兴林奖一等奖；
5.2018年，浙江省优秀博士学位论文提名论文；
6.2016年，博士研究生国家奖学金；
联系方式：
Email:mfangjie@gmail.com
