植被生态遥感

   

070503-地图学与地理信息系统

植被生态遥感与全球变化
高光谱遥感与遥感大数据
农业大数据遥感

2008-10--2009-10   University of Arizona   联合培养博士
2004-09--2009-12   浙江大学   博士学位

研究生

博士

   

2020-12~现在, 中国科学院空天信息创新研究院, 研究员
2015-11~2016-05,University of Toronto, 学术访问
2013-04~2020-11,中国科学院遥感与数字球研究所、中国科学院空天信息创新研究院, 副研究员
2011-10~2011-11,The Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia, 学术交流
2010-03~2013-03,中国科学院对地观测与数字地球科学中心, 助理研究员

植被光合有效辐射吸收系数（FPAR）遥感反演及其应用
植被参数（FPAR、物候）遥感反演与农业应用
遥感估算植被物候的空间尺度效应
植被生产力与作物遥感估产方法

   

（1） 地理信息科技进步奖二等奖, 二等奖, 其他, 2022
（2） 地理信息科技进步奖一等奖, 一等奖, 其他, 2019
（3） 2016年中国科学院杰出科技成就奖, 部委级, 2016

[1] 彭代亮, 楼子杭, 刘国华, 高爽, 张弘弛, 胡锦康, 程恩惠. 一种基于作物模型的大豆落叶期提取方法及装置. CN: CN116701955A, 2023-09-05.
[2] 张兵, 胡锦康, 彭代亮, 余如意, 程恩惠, 杨松林, 刘胜威. 一种基于机器学习的小麦茎蘖密度遥感估算方法和系统. CN: CN115830442B, 2023-08-04.
[3] 彭代亮, 程恩惠, 张兵, 余如意, 胡锦康, 杨松林, 刘胜威. 一种基于长短期记忆网络的冬小麦估产分析方法和系统. CN: CN115578637A, 2023-01-06.
[4] 彭代亮, 罗旺, 刘锦绣, 陈月, 楼子杭. 基于植被指数时序谱特征的大豆种植区提取方法和系统. CN: CN114882359A, 2022-08-09.
[5] 彭代亮, 罗旺, 刘锦绣, 陈月, 楼子杭. 基于植被指数时序谱特征的大豆种植区提取方法和系统. CN: CN114882359B, 2023-03-31.
[6] 彭代亮, 陈月, 黄林生, 潘玉豪, 楼子杭, 郑诗军. 一种大豆生长季空间分布图的生成方法和系统. CN: CN114494909A, 2022-05-13.
[7] 彭代亮, 陈月, 黄林生, 潘玉豪, 楼子杭, 郑诗军. 一种大豆生长季空间分布图的生成方法和系统. CN: CN114494909A, 2022-05-13.
[8] 彭代亮, 陈月, 黄林生, 潘玉豪, 楼子杭, 郑诗军. 一种大豆生长季空间分布图的生成方法和系统. CN: CN114494909A, 2022-05-13.
[9] 彭代亮. 一种大豆生长季空间分布图的生成方法和系统. CN202210142348.9, 2022-02-16.
[10] 张兵, 彭代亮, 刘胜威, 陈俊杰, 潘玉豪, 郑诗军, 胡锦康. 一种基于深度学习的冬小麦遥感识别分析方法和系统. CN: CN114463637A, 2022-05-10.
[11] 张兵, 彭代亮, 刘胜威, 陈俊杰, 潘玉豪, 郑诗军, 胡锦康. 一种基于深度学习的冬小麦遥感识别分析方法和系统. CN: CN114463637A, 2022-05-10.
[12] 彭代亮. 一种基于随机森林的冬小麦遥感识别分析方法和系统. CN202210116672.3, 2022-02-07.
[13] 彭代亮. 一种基于深度学习的冬小麦遥感识别分析方法和系统. CN202210117044.7, 2022-02-07.
[14] 彭代亮, 刘胜威, 张兵, 陈俊杰, 潘玉豪, 郑诗军, 胡锦康. 一种基于随机森林的冬小麦遥感识别分析方法和系统. CN: CN114494882A, 2022-05-13.
[15] 彭代亮, 刘胜威, 张兵, 陈俊杰, 潘玉豪, 郑诗军, 胡锦康. 一种基于随机森林的冬小麦遥感识别分析方法和系统. CN: CN114494882A, 2022-05-13.
[16] 彭代亮, 刘胜威, 张兵, 陈俊杰, 潘玉豪, 郑诗军, 胡锦康. 一种基于随机森林的冬小麦遥感识别分析方法和系统. CN: CN114494882A, 2022-05-13.
[17] 张东彦, 杨玉莹, 佘宝, 黄林生, 梁栋, 杜世州, 赵晋陵, 彭代亮. 基于Sentinel-2影像的江淮地区大豆和玉米种植面积识别方法. CN: CN111462223A, 2020-07-28.
[18] 张雅琼, 彭代亮, 聂忆黄, 徐富宝, 张赫林. 未利用地上土壤污染风险区域的识别方法和装置. CN: CN108805920A, 2018-11-13.
[19] 彭代亮. 一种基于EVI2季节变化曲线的年总初级生产力估算方法. ZL201810076612.7, 2018-05-06.
[20] 张兵, 张文娟, 陈正超, 彭代亮, 申茜, 徐丰. 检测遥感道路图像精度的方法及装置. 中国: CN103646402A, 2014-03-19.
[21] 黄文江, 杨勤英, 刘良云, 彭代亮, 申茜, 倪丽. 一种基于遥感图像的叶面积指数反演方法及装置. 中国: CN103278112A, 2013-09-04.
[22] 黄文江, 谢巧云, 彭代亮, 张兵, 刘良云, 申茜, 孙刚. 一种遥感反演精度检测方法及装置. 中国: CN102867194A, 2013-01-09.
[23] 黄文江, 刘良云, 杨贵军, 孙刚, 申茜, 彭代亮, 张清. 一种植被空间分布状态测量方法及装置. CN: CN102853822B, 2015-02-04.

   

[1] Hongchi Zhang, Zihang Lou, Dailiang Peng, Bing Zhang, Wang Luo, Jianxi Huang, Xiaoyang Zhang, Le Yu, Fumin Wang, Linsheng Huang, Guohua Liu, Shuang Gao, Jinkang Hu, Songlin Yang, Enhui Cheng. Mapping annual 10-m soybean cropland with spatiotemporal sample migration. SCIENTIFIC DATA. 2024, 第 3 作者11: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11065879/.
[2] Xu Weifeng, Li Jun, Peng Dailiang, Jiang Jinge, Xia Hongxuan, Yin Hongyue, Yang Jun. Multi-source DEM accuracy evaluation based on ICESat-2 in Qinghai-Tibet Plateau, China. INTERNATIONAL JOURNAL OF DIGITAL EARTH[J]. 2024, 第 3 作者17(1): https://doaj.org/article/100410745bda43398917600a628b61fa.
[3] Xin Chen, Le Yu, Shuai Hou, Tao Liu, Xiyu Li, Yaoyao Li, Zhenrong Du, Chengxiu Li, Hui Wu, Guangyao Gao, Yunqiang Wang, Dailiang Peng. Unraveling carbon stock dynamics and their determinants in China's Loess Plateau over the past 40 years. ECOLOGICAL INDICATORS[J]. 2024, 第 0 作者159: 111760, https://doaj.org/article/70af4dcab6a14f6288bff3f0791bff82.
[4] Qinyan Zhu, Fumin Wang, Qiuxiang Yi, Xiaoyang Zhang, Siting Chen, Jueyi Zheng, Jiale Li, Tianyue Xu, Dailiang Peng. Modeling soybean cultivation suitability in China and its future trends in climate change scenarios. JOURNAL OF ENVIRONMENTAL MANAGEMENT. 2023, 第 9 作者345: http://dx.doi.org/10.1016/j.jenvman.2023.118934.
[5] Du, Zhenrong, Yu, Le, Li, Xiyu, Zhao, Jiyao, Chen, Xin, Xu, Yidi, Yang, Peng, Yang, Jianyu, Peng, Dailiang, Xue, Yueming, Gong, Peng. Integrating remote sensing temporal trajectory and survey statistics to update land use/land cover maps. INTERNATIONAL JOURNAL OF DIGITAL EARTH[J]. 2023, 第 9 作者16(2): 4428-4445, http://dx.doi.org/10.1080/17538947.2023.2274422.
[6] Zhenrong Du, Le Yu, Xin Chen, Xiyu Li, Dailiang Peng, Shijun Zheng, Pengyu Hao, Jianyu Yang, Huadong Guo, Peng Gong. An Operational Assessment Framework for Near Real-time Cropland Dynamics: Toward Sustainable Cropland Use in Mid-Spine Belt of Beautiful China. JOURNAL OF REMOTE SENSING[J]. 2023, 第 5 作者3: https://doaj.org/article/c46cb295e68a48aea8aa39f8609b8732.
[7] Lou, Zihang, Wang, Fumin, Peng, Dailiang, Zhang, Xiaoyang, Xu, Junfeng, Zhu, Xiaolin, Wang, Yan, Shi, Zhou, Yu, Le, Liu, Guohua, Xie, Qiaoyun, Dou, Changyong. Combining shape and crop models to detect soybean growth stages. REMOTE SENSING OF ENVIRONMENT[J]. 2023, 第 3 作者  通讯作者  298: http://dx.doi.org/10.1016/j.rse.2023.113827.
[8] Yang, Songlin, Li, Shanshan, Zhang, Bing, Yu, Ruyi, Li, Cunjun, Hu, Jinkang, Liu, Shengwei, Cheng, Enhui, Lou, Zihang, Peng, Dailiang. Accurate estimation of fractional vegetation cover for winter wheat by integrated unmanned aerial systems and satellite images. FRONTIERS IN PLANT SCIENCE[J]. 2023, 第 10 作者14: http://dx.doi.org/10.3389/fpls.2023.1220137.
[9] Yuhao Pan, Dailiang Peng, Jing M Chen, Ranga B Myneni, Xiaoyang Zhang, Alfredo R Huete, Yongshuo H Fu, Shijun Zheng, Kai Yan, Le Yu, Peng Zhu, Miaogen Shen, Weimin Ju, Wenquan Zhu, Qiaoyun Xie, Wenjiang Huang, Zhengchao Chen, Jingfeng Huang, Chaoyang Wu. Climate-driven land surface phenology advance is overestimated due to ignoring land cover changes. ENVIRONMENTAL RESEARCH LETTERS[J]. 2023, 第 2 作者18(4): https://doaj.org/article/7c5face669dd462996d10ec4a7e3fc7f.
[10] Wang, Yanyu, Ma, Ziqiang, He, Yuhong, Yu, Wu, Chang, Jinfeng, Peng, Dailiang, Min, Xiaoxiao, Guo, Hancheng, Xiao, Yi, Gao, Lingfang, Shi, Zhou. Vegetation disturbances characterization in the Tibetan Plateau from 1986 to 2018 using Landsat time series and field observations. ENVIRONMENTAL RESEARCH LETTERS[J]. 2023, 第 6 作者18(1): 
[11] 罗旺, 彭代亮, 刘锦绣, 徐俊锋, 楼子杭, 刘国华, 高爽, 俞乐, 王福民. 应用Sentinel-2时序影像光谱特征的大豆识别提取方法. 遥感学报[J]. 2023, 第 2 作者1, http://www.ygxb.ac.cn/zh/article/doi/10.11834/jrs.20233056/.
[12] 王福民, 彭代亮. Characterizing Spatial Patterns of the Response Rate of Vegetation Green-Up Dates to Land Surface Temperature in Beijing, China (2001–2019). Remote Sensing[J]. 2022, 第 2 作者  通讯作者  
[13] Tao Liu, Li, Zhigang, Le Yu, Xin Chen, Cao, Bowen, Li, Xiyu, Du Zhenrong, Peng, Dailiang, Hou, Langong. Global relative ecosystem service budget mapping using the Google Earth Engine and land cover datasets. ENVIRONMENTAL RESEARCH COMMUNICATIONS[J]. 2022, 第 8 作者4(6): http://dx.doi.org/10.1088/2515-7620/ac79a9.
[14] Yuhao Pan, Yan Wang, Shijun Zheng, Alfredo R Huete, Miaogen Shen, Xiaoyang Zhang, Jingfeng Huang, Guojin He, Le Yu, Xiyan Xu, Qiaoyun Xie, Dailiang Peng. Characteristics of Greening along Altitudinal Gradients on the Qinghai–Tibet Plateau Based on Time-Series Landsat Images. REMOTE SENSING[J]. 2022, 第 12 作者  通讯作者  14: 
[15] Lin, Chenjie, Hu, Yueming, Liu, Zhenhua, Peng, Yiping, Wang, Lu, Peng, Dailiang. Estimation of Cultivated Land Quality Based on Soil Hyperspectral Data. AGRICULTURE-BASEL[J]. 2022, 第 6 作者12(1): 
[16] Zihang Lou, Dailiang Peng, Xiaoyang Zhang, Le Yu, Fumin Wang, Yuhao Pan, Shijun Zheng, Jinkang Hu, Songlin Yang, Yue Chen, Shengwei Liu. Soybean EOS Spatiotemporal Characteristics and Their Climate Drivers in Global Major Regions. REMOTE SENSING[J]. 2022, 第 2 作者  通讯作者  14: 
[17] Qiang Zhao, Le Yu, Zhenrong Du, Dailiang Peng, Pengyu Hao, Yongguang Zhang, Peng Gong. An Overview of the Applications of Earth Observation Satellite Data: Impacts and Future Trends. REMOTE SENSING[J]. 2022, 第 4 作者14: 
[18] Wei, Pengliang, Chai, Dengfeng, Huang, Ran, Peng, Dailiang, Lin, Tao, Sha, Jinming, Sun, Weiwei, Huang, Jingfeng. Rice mapping based on Sentinel-1 images using the coupling of prior knowledge and deep semantic segmentation network: A case study in Northeast China from 2019 to 2021. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION[J]. 2022, 第 4 作者112: http://dx.doi.org/10.1016/j.jag.2022.102948.
[19] Yu, Le, Du, Zhenrong, Dong, Runmin, Zheng, Juepeng, Tu, Ying, Chen, Xin, Hao, Pengyu, Zhong, Bo, Peng, Dailiang, Zhao, Jiyao, Li, Xiyu, Yang, Jianyu, Fu, Haohuan, Yang, Guangwen, Gong, Peng. FROM-GLC Plus: toward near real-time and multi-resolution land cover mapping. GISCIENCE & REMOTE SENSING[J]. 2022, 第 9 作者59(1): 1026-1047, https://doaj.org/article/4a524f53edc34ef9af820148bdccaff9.
[20] Zheng, Shijun, Pan, Yuhao, Yu, Le, Liu, Shengwei, Peng, Dailiang. Possible future movement of the Hu line based on IPCC CMIP6 scenarios. ENVIRONMENTAL RESEARCH COMMUNICATIONS[J]. 2022, 第 5 作者  通讯作者  4(9): 
[21] Zhang, Hongxin, Wang, Xiaoyue, Peng, Dailiang. Evaluation of Urban Vegetation Phenology Using 250 m MODIS Vegetation Indices. PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING[J]. 2022, 第 3 作者88(7): 461-467, http://dx.doi.org/10.14358/PERS.21-00049R3.
[22] Chen, Xin, Yu, Le, Du, Zhenrong, Xu, Yidi, Zhao, Jiyao, Zhao, Haile, Zhang, Guoliang, Peng, Dailiang, Gong, Peng. Distribution of ecological restoration projects associated with land use and land cover change in China and their ecological impacts. SCIENCE OF THE TOTAL ENVIRONMENT[J]. 2022, 第 8 作者825: http://dx.doi.org/10.1016/j.scitotenv.2022.153938.
[23] 刘胜威, 彭代亮. The Accuracy of Winter Wheat Identification at Different Growth Stages Using Remote Sensing. Remote Sensing[J]. 2022, 第 2 作者  通讯作者  
[24] Hu, Jinkang, Zhang, Bing, Peng, Dailiang, Yu, Ruyi, Liu, Yao, Xiao, Chenchao, Li, Cunjun, Dong, Tao, Fang, Moren, Ye, Huichun, Huang, Wenjiang, Lin, Binbin, Wang, Mengmeng, Cheng, Enhui, Yang, Songlin. Estimation of wheat tiller density using remote sensing data and machine learning methods. FRONTIERS IN PLANT SCIENCE[J]. 2022, 第 3 作者13: http://dx.doi.org/10.3389/fpls.2022.1075856.
[25] Guo, Huadong, Liang, Dong, Sun, Zhongchang, Chen, Fang, Wang, Xinyuan, Li, Junsheng, Zhu, Li, Bian, Jinhu, Wei, Yanqiang, Huang, Lei, Chen, Yu, Peng, Dailiang, Li, Xiaosong, Lu, Shanlong, Liu, Jie, Shirazi, Zeeshan. Measuring and evaluating SDG indicators with Big Earth Data. SCIENCE BULLETIN[J]. 2022, 第 12 作者67(17): 1792-1801, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=7354448&detailType=1.
[26] Miaogen Shen, Xiaolin Zhu, Dailiang Peng, Nan Jiang, Yan Huang, Jin Chen, Cong Wang, Wenwu Zhao. Greater temperature sensitivity of vegetation greenup onset date in areas with weaker temperature seasonality across the Northern Hemisphere. AGRICULTURAL AND FOREST METEOROLOGY[J]. 2022, 第 3 作者313: 
[27] Cheng, Enhui, Zhang, Bing, Peng, Dailiang, Zhong, Liheng, Yu, Le, Liu, Yao, Xiao, Chenchao, Li, Cunjun, Li, Xiaoyi, Chen, Yue, Ye, Huichun, Wang, Hongye, Yu, Ruyi, Hu, Jinkang, Yang, Songlin. Wheat yield estimation using remote sensing data based on machine learning approaches. FRONTIERS IN PLANT SCIENCE[J]. 2022, 第 3 作者  通讯作者  13: http://dx.doi.org/10.3389/fpls.2022.1090970.
[28] Li, Xiyu, Yu, Le, Peng, Dailiang, Gong, Peng. A large-scale, long time-series (1984-2020) of soybean mapping with phenological features: Heilongjiang Province as a test case. INTERNATIONAL JOURNAL OF REMOTE SENSING[J]. 2021, 第 3 作者42(19): 7332-7356, http://dx.doi.org/10.1080/01431161.2021.1957177.
[29] 周雷雷, 郑诗军, 尹捷, 张雅琼, 黄文江, 王心源, 王岩, 张赫林, 陈俊杰, 彭代亮. 以“胡焕庸线”为界的中国东西部净初级生产力变化分析. 遥感技术与应用[J]. 2021, 第 10 作者  通讯作者  36(4): 916-925, http://lib.cqvip.com/Qikan/Article/Detail?id=7105789440.
[30] Zheng, Shijun, Zhang, Bing, Peng, Dailiang, Yu, Le, Lin, Binbin, Pan, Yuhao, Xie, Qiaoyun. The trend towards a warmer and wetter climate observed in arid and semi-arid areas of northwest China from 1959 to 2019. ENVIRONMENTAL RESEARCH COMMUNICATIONS[J]. 2021, 第 3 作者  通讯作者  3(11): 
[31] Peng, Dailiang, Wang, Yan, Xian, George, Huete, Alfredo R, Huang, Wenjiang, Shen, Miaogen, Wang, Fumin, Yu, Le, Liu, Liangyun, Xie, Qiaoyun, Liu, Lingling, Zhang, Xiaoyang. Investigation of land surface phenology detections in shrublands using multiple scale satellite data. REMOTE SENSING OF ENVIRONMENT[J]. 2021, 第 1 作者252: http://dx.doi.org/10.1016/j.rse.2020.112133.
[32] Yonglei Shi, Zhihui Wang, Liangyun Liu, Chunyi Li, Dailiang Peng, Peiqing Xiao. Improving Estimation of Woody Aboveground Biomass of Sparse Mixed Forest over Dryland Ecosystem by Combining Landsat-8, GaoFen-2, and UAV Imagery. REMOTE SENSING[J]. 2021, 第 5 作者13: https://doaj.org/article/da3fc01cd0604e2daa99fcfa4303a5ca.
[33] Liu, Xiaoxuan, Yu, Le, Cai, Wenjia, Ding, Qun, Hu, Weixun, Peng, Dailiang, Li, Wei, Zhou, Zheng, Huang, Xiaomeng, Yu, Chaoqing, Gong, Peng. The land footprint of the global food trade: Perspectives from a case study of soybeans. LAND USE POLICY[J]. 2021, 第 6 作者111: 
[34] Fang Wang, Jean Damascene Harindintwali, Zhizhang Yuan, Min Wang, Faming Wang, Sheng Li, Zhigang Yin, Lei Huang, Yuhao Fu, Lei Li, Scott X Chang, Linjuan Zhang, Jrg Rinklebe, Zuoqiang Yuan, Qinggong Zhu, Leilei Xiang, Daniel CW Tsang, Liang Xu, Xin Jiang, Jihua Liu, Ning Wei, Matthias Kstner, Yang Zou, Yong Sik Ok, Jianlin Shen, Dailiang Peng, Wei Zhang, Dami Barcel, Yongjin Zhou, Zhaohai Bai, Boqiang Li, Bin Zhang, Ke Wei, Hujun Cao, Zhiliang Tan, Liubin Zhao, Xiao He, Jinxing Zheng, Nanthi Bolan, Xiaohong Liu, Changping Huang, Sabine Dietmann, Ming Luo, Nannan Sun, Jirui Gong, Yulie Gong, Ferdi Brahushi, Tangtang Zhang, Cunde Xiao, Xianfeng Li, Wenfu Chen, Nianzhi Jiao, Johannes Lehmann, YongGuan Zhu, Hongguang Jin, Andreas Schffer, James M Tiedje, Jing M Chen. Technologies and perspectives for achieving carbon neutrality. THE INNOVATION[J]. 2021, 第 26 作者2(4): 100180, 
[35] 尹捷, 周雷雷, 李利伟, 张雅琼, 黄文江, 张赫林, 王岩, 郑诗军, 范海生, 纪婵, 陈俊杰, 彭代亮. 多源遥感数据小麦识别及长势监测比较研究. 遥感技术与应用[J]. 2021, 第 12 作者  通讯作者  36(2): 332-341, http://lib.cqvip.com/Qikan/Article/Detail?id=7104870081.
[36] 黄磊, 贾根锁, 房世波, 上官冬辉, 胡永红, 张兆明, 彭代亮. 地球大数据支撑联合国可持续发展目标：气候变化与应对. 中国科学院院刊[J]. 2021, 第 7 作者36(8): 923-931, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=7027888&detailType=1.
[37] Qiang Zhao, Le Yu, Xuecao Li, Dailiang Peng, Yongguang Zhang, Peng Gong. Progress and Trends in the Application of Google Earth and Google Earth Engine. REMOTE SENSING[J]. 2021, 第 4 作者13(18): http://dx.doi.org/10.3390/rs13183778.
[38] 贾根锁. 地球大数据支撑联合国可持续发展目标---气候变化和应对. 中国科学院院刊. 2021, 
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[40] Xu, Yidi, Yu, Le, Peng, Dailiang, Zhao, Jiyao, Cheng, Yuqi, Liu, Xiaoxuan, Li, Wei, Meng, Ran, Xu, Xinliang, Gong, Peng. Annual 30-m land use/land cover maps of China for 1980-2015 from the integration of AVHRR, MODIS and Landsat data using the BFAST algorithm. SCIENCE CHINA-EARTH SCIENCES[J]. 2020, 第 3 作者63(9): 1390-1407, http://lib.cqvip.com/Qikan/Article/Detail?id=7102612473.
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（1） 作物理化参数遥感定量反演, 科学出版社, 2017-05, 第 5 作者
（2） 青藏高原陆地生态系统遥感监测与评估, 长江出版社, 2019-11, 第 3 作者

   

（ 1 ） 时序遥感数据与生长模型结合的区域人工林地上生物量估算方法研究, 负责人, 国家任务, 2016-01--2019-12
（ 2 ） 光合有效辐射吸收系数（FPAR）遥感立体协同反演模型方法研究, 负责人, 国家任务, 2016-07--2020-12
（ 3 ） 中国科学院青年创新促进会, 负责人, 中国科学院计划, 2014-01--2017-12
（ 4 ） 基于数字相机的低矮草地FPAR估算模型与观测方法研究, 负责人, 国家任务, 2013-01--2015-12
（ 5 ） 尺度效应对区域植被物候遥感估算的影响机理研究, 负责人, 研究所自选, 2016-01--2017-12
（ 6 ） 北京冬小麦冠层和土壤光谱测定及模拟, 负责人, 其他任务, 2017-01--2019-12
（ 7 ） 基于大数据技术的我国东西部生态环境变化机制及未来预测研究, 负责人, 中国科学院计划, 2019-07--2020-07
（ 8 ） 重点区域10-30米总初级生产力、植被光合有效辐射吸收系数和土地利用类型, 负责人, 中国科学院计划, 2018-01--2022-12
（ 9 ） 全球大豆主产区种植面积遥感精确测算与产量动态预测技术, 负责人, 国家任务, 2020-12--2023-11
（ 10 ） 地面观测植被春季叶物候升尺度转换方法研究, 负责人, 国家任务, 2021-01--2024-12
（ 11 ） 基于深度学习的小麦植被参量高光谱遥感反演研究, 参与, 国家任务, 2021-01--2025-12
（ 12 ） 天基监测数据采集与应用, 负责人, 中国科学院计划, 2021-09--2026-08
（ 13 ） 磁层灾害研究, 负责人, 其他任务, 2021-09--2022-08
（ 14 ） 光合有效辐射吸收系数（FPAR）遥感立体协同反演模型方法研究, 负责人, 国家任务, 2016-07--2020-06

（1）Scaling effects on spring phenology detections at multiple spatial resolutions    2018-04-17

已指导学生

王岩  硕士研究生  085215-测绘工程  

现指导学生

郑诗军  硕士研究生  085215-测绘工程  

潘玉豪  硕士研究生  085700-资源与环境  

楼子杭  硕士研究生  070503-地图学与地理信息系统