彭代亮，男，博士，中国科学院空天信息创新研究院研究员、硕士生导师，沈阳农业大学林学学科森林经理方向硕士生导师。长期从事植被生态遥感与全球变化、高光谱遥感与遥感大数据、作物面积产量遥感监测等方面的研究工作。发表学术论文100多篇，其中SCI 60多篇，第一/通讯作者SCI论文30多篇)，其中Remote Sensing of Environment、ISPRS Journal of Photogrammetry and Remote Sensing、Global Biogeochemical Cycles、Agricultural and Forest Meteorology等中科院SCI期刊分区TOP期刊论文10多篇。

教育经历：

2008-2009，联合培养博士，University of Arizona

2004-2009，博士学位，浙江大学

工作经历：

2020-至今，研究员，中国科学院空天信息创新研究院

2015-2016，访问学者，University of Toronto

2013-2020，副研究员，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

2010-2013，助理研究员，中国科学院对地观测与数字地球科学中心

主持项目：

2014-2017 中国科学院青年创新促进会，项目负责人

2016-2019 国家自然科学基金面上项目 “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”，项目负责人

2016-2020 国家重点研发计划“地球资源环境动态监测技术”子课题“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”，子课题负责人

2016-2018 遥感地球所所长青年基金A“尺度效应对区域植被物候遥感估算的影响机理研究” ，项目负责人

2019-2020 先导专项开放子课题“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”，子课题负责人

2020-2023 国家重点研发计划政府间国际科技创新合作重点专项，“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”，项目负责人

2021-2024-12 国家自然科学基金面上项目，“地面观测植被春季叶物候升尺度转换方法研究”，项目负责人

代表性论文：

--2020年--

1 Dailiang Peng, Yan Wang, George Xian, Alfredo R. Huete, Wenjiang Huang, Miaogen Shen,Fumin Wang, Le Yu, Liangyun Liu, Qiaoyun Xie, Lingling Liu, Xiaoyang Zhang. Investigation of land surface phenology detections in shrublands using multiple scale satellite data. RemoteSensing of Environment 252 (2021) 112133.

2 Yan Wang, Dailiang Peng, Yu, L., Zhang, Y., Yin, J., Zhou,L., Zheng, S., Wang, F., & Li, C. (2020). Monitoring Crop Growth During thePeriod of the Rapid Spread of COVID-19 in China by Remote Sensing. IEEE Journalof Selected Topics in Applied Earth Observations and Remote Sensing, 13, 6195-6205

3 Xu Y, Yu L, Dailiang Peng,Zhao J, Cheng Y, Liu X, Li W, Meng R, Xu X, Gong P. 2020. Annual 30-m land use/landcover maps of China for 1980–2015 from the integration of AVHRR, MODIS andLandsat data using the BFAST algorithm. Science China Earth Sciences, 63, 1390–1407.https://doi.org/10.1007/s11430-019-9606-4.

4 Miaogen Shen, Jiang N, DailiangPeng, et al. Can changes in autumn phenology facilitate earlier green-update of northern vegetation? Agricultural and Forest Meteorology 2020, 291,108077

5 Zhao, J.; Yu, L.; Xu, Y.;Li, X.; Zhou, Y.; Dailiang Peng; Liu, H.; Huang, X.; Zhou, Z.; Wang, D.,et al. Exploring difference in land surface temperature between the citycentres and urban expansion areas of China’s major cities. International Journal of Remote Sensing 2020, 41, 8963-8983

6 Chen, S.; Liu, L.; He, X.;Liu, Z.; Dailiang Peng. Upscaling from Instantaneous to Daily Fractionof Absorbed Photosynthetically Active Radiation (FAPAR) for Satellite Products.Remote Sensing 2020, 12, 2083

7 Liu, X., Yu, L., Dong, Q., DailiangPeng, Wu, W., Yu, Q., Cheng, Y., Xu, Y., Huang, X., Zhou,Z., Wang, D., Fang, L., Gong, P. 2020. Cropland heterogeneity changes on theNortheast China Plain in the last three decades (1980s–2010s). Peer J.

8 Wang, Y.; Dailiang Peng *; Shen, M.; Xu, X.; Yang,X.; Huang, W.; Yu, L.; Liu, L.; Li, C.; Li, X., et al. Contrasting effects oftemperature and precipitation on vegetation greenness along elevation gradientsof the tibetan plateau. Remote Sensing 2020, 12, 2751.

9 Liangyun Liu, Xinjie Liu,Jidai Chen, Shanshan Du, Yan Ma, Xiaojin Qian, Siyuan Chen, Dailiang Peng.Estimating maize GPP using near-infrared radiance of vegetation. Science ofRemote Sensing, 2 (2020) 100009.

10 焦雪敏，张赫林，徐富宝，王岩，彭代亮，李村军，范海生，徐希艳，黄运新. 青藏高原1982-2015FPAR时空变化分析. 遥感技术与应用 . 2020, (4): 950-961 . DOI: 10.11873/j.issn.1004-0323.2020.4.0950

--2019年--

11 DailiangPeng, Helin Zhang, Liangyun Liu, Wenjiang Huang, Alfredo R. Huete, XiaoyangZhang, Fumin Wang, Le Yu, Qiaoyun Xie, Cheng Wang, Shezhou Luo, Cunjun Li andBing Zhang. Estimatingthe Aboveground Biomass for Planted Forests Based on Stand Age andEnvironmental Variables. Remote Sens. 2019, 11(19), 2270;

12 Yidi Xu ,Le Yu*, Duole Feng，Dailiang Peng*,congcong Li, Xiaomeng Huang, HuiLu&Peng Gong. Comparisons of three recent moderate resolution African landcover datasets: CGLS-LC100, ESA-S2-LC20, and FROM-GLC-Africa30[J].International Journal of Remote Sensing, 2019, 40(16), 6185-6202.

13 Yidi Xu, Le Yu*, Zhigang Cai , Jiyao zhao, Dailiang Peng*, congcong Li, Hui Lu,Chaoqing Yu& Peng Gong. Exploring intra-annual variation in croplandclassification accuracy using monthly, seasonal, and yearly sample set. InternationalJournal of Remote Sensing, 2019, 40(23): 8748-8763

14 Qiaoyun xie, Jadu Dash, Alfredo Huete, Aihui Jiang,Gaofei Yin, Yanling Ding, Dailiang Peng*,Christopher C. Hall, Luke Brown, Yue Shi, Huichun Ye, Yingying Dong, WenjiangHuang. Retrieval of crop biophysical parameters from Sentinel-2 remote sensingimagery，International Journal of Applied Earth Observationsand Geoinformation. 2019,80:187-195.

15 Xinjie Liu, Luis Guanter, Liangyun Liu, AlexanderDamm, Zbyne k Malenovsky, Uwe Rascher, DailiangPeng, Shanshan Dua, Jean-Philippe Gastellu-Etchegorry. Downscaling ofsolar-induced chlorophyll fluorescence from 1 canopy level to photosystem levelusing a random forest model. Remote Sensing of Environment. 2019. 231,110772.

16 Shezhou Luo,Cheng Wang,Xiaohuan Xi,Sheng Nie,Xieyu Fan,Hanyue Chen,Xuebo Yang,Dailiang Peng,Yi Lin, and Guoqing Zhou.Combining hyperspectral imagery and LiDAR pseudo-waveform for predicting cropLAI, canopy height and above-ground biomass. Ecological Indicators. 2019. 102,801-812.

17 张赫林, 彭代亮, 张肖, 范海生，徐富宝，叶回春，王大成. 基于植被指数季节变化曲线的年总初级生产力估算. 遥感技术与应用, 2019(2):303-312.

--2018年--

18 Dailiang Peng, Chaoyang Wu,Xiaoyang Zhang, Le Yu, Alfredo R. Huete, Fumin Wang, Shezhou Luo, Xinjie Liu,Helin Zhang. Scaling up springphenology derived from remote sensing images.Agricultural and Forest Meteorology. 2018. 256–257：207–219.

19 Dailiang Peng, Helin Zhang,Le Yu, Mingquan Wu, Fumin Wang, Wenjiang Huang, Liangyun Liu, Rui Sun, CunjunLi, Dacheng Wang & Fubao Xu (2018) Assessing spectral indices to estimatethe fraction of photosynthetically active radiation absorbed by the vegetationcanopy, International Journal of Remote Sensing, 39:22, 8022-8040.

20 Xiaoyue Wang, Chaoyang Wu*,Dailiang Peng*, Alemu Gonsamo, ZhengjiaLiu. 2018. Snow cover phenology affects alpine vegetation growth dynamics onthe Tibetan Plateau: Satellite observed evidence, impacts of different biomes,and climate drivers. Agricultural and Forest Meteorology. 2018. 256–257：61–74

21 Qiaoyun Xie, Jadu Dash, Wenjiang Huang*, Dailiang Peng*, Qiming Qin, HughMortimer, Raffaele Casa, Stefano Pignatti, Giovanni Laneve, Simone Pascucci,Yingying Dong, Huichun Ye. Vegetation indices combining the red and red-edgespectral information for leaf area index retrieval. IEEE Journal of Selected Topics in AppliedEarth Observations and Remote Sensing. 2018. 1939-1404.

22 Xu, Y., Yu, L.*, DailiangPeng *, Cai, X., Cheng, Y., Zhao, J., Zhao, Y., Feng, D., Hackman, K.,Huang, X., Lu, H., Yu, C., Gong, P. Exploring the temporal density of Landsatobservations for cropland mapping: experiments from Egypt, Ethiopia and SouthAfrica. International Journal of Remote Sensing. 2018, Accepted. 39(21): 7328-7349.

23 Xiaoxuan Liu, Le Yu*, Wei Li, Dailiang Peng*, Liheng Zhong, et al., Comparison of country-levelcropland areas between ESA-CCI land cover maps and FAOSTAT data InternationalJournal of Remote Sensing. 2018. 39(20): 6631-6645.

24 MingquanWu, DailiangPeng*, YuchuQin, ZhengNiu, ChenghaiYang, WangLi, PengyuHao andChunyangZhang. An index of non-sampling error in area frame sampling based onremote sensing data. Peer J. 2018.

25 Yue Shi, Wenjiang Huang, Yingying Dong, Dailiang Peng, Qiong Zheng, Theinfluence of landscape's dynamics on the Oriental Migratory Locust habitatchange based on the time-series satellite data. Journal of EnvironmentalManagement 218 (2018) 280-290.

26 Yue Shi , Wenjiang Huang , Huichun Ye, Chao Ruan,Naichen Xing, Yun Geng, Yingying Dong and DailiangPeng. Partial Least Square Discriminant Analysis Based on Normalized Two-Stage Vegetation Indices for MappingDamage from Rice Diseases Using PlanetScope Datasets. Sensors 2018, 18, 1901.

27 Luo Shezhou; Chen Jing M.; Wang Cheng; Gonsamo Alemu;Xi Xiaohuan; Lin Yi; Qian, Mingjie; DailiangPeng; Nie Sheng; Qin Haiming. Comparative performances of airborne LiDARheight and intensity data for leaf area index estimation. IEEE Journal ofSelected Topics in Applied Earth Observations and Remote Sensing. 2018, 11（1）：300-310.

28 Shenglei Wang, Junsheng Li, Bing Zhang, Evangelos Spyrakos, Andrew N.Tyler, Qian Shen, Fangfang Zhang, Tiit Kuster, Moritz K. Lehmann, Yanhong Wu, Dailiang Peng. Trophic state assessmentof global inland waters using a MODIS-derived Forel-Ule index. Remote Sensingof Environment, 2018, 217: 444-460.

29 黄林生，阮 超，黄文江，师 越，彭代亮，丁文娟. 基于GF-1遥感影像和relief-mRMR-GASVM模型的小麦白粉病监测. 农业工程学报. 2018. 34（15）167-175.

30 周静平, 李存军, 胡海棠, 陶欢, 彭代亮, 谢春春, 葛艳. 森林植被遥感监测影像最佳分辨率选择. 浙江农林大学学报. 2018.35(4):716-723.

电子邮箱：

pengdl@aircas.ac.cn