植被定量遥感与全球变化

2015.11-2016.5，多伦多大学地理系，访问学者

2014.11-2014.12，美国农业部、南达科他州立大学、乔治梅森大学，中国科学院创新人才培训，多星协同观测和聚集服务技术

2011.10-2011.11，澳大利亚联邦科学与工业研究组织(CSIRO)，碳计量模型学习交流

2008.10–2009.10，美国亚利桑那大学，生物物理遥感，联合培养博士 　

2004.09-2009.12：浙江大学，农业遥感与信息技术，博士学位

2000.09-2004.06：安徽科技学院，农业资源利用， 学士学位

2017.07–至今，中国科学院空天信息创新研究院，副研究员。

2013.04–2017.07，中国科学院遥感与数字球研究所，副研究员。

2010.04–2013.3，中国科学院对地观测与数字地球科学中心，助理研究员

2014.01 – 2017.12 中国科学院青年创新促进会，项目负责人

2016.01 – 2019.12 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

2016.06 – 2020.12 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

2016.01 – 2018.12 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

2018.01 – 2022.12 先导专项专题“全球重点区域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产品” , 专题负责人

2019.01 – 2020.12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

2019地理信息科技进步一等奖

2018科技部创新人才推进计划：重点领域创新团队-全球资源环境遥感创新团队成员。

2016年中国科学院杰出科技成就奖（主要完成者）

2014年起中国科学院青年创新促进

2019

1Dailiang Peng, Helin Zhang, Liangyun Liu, Wenjiang Huang, Alfredo R. Huete, Xiaoyang Zhang, Fumin Wang, Le Yu, Qiaoyun Xie, Cheng Wang, Shezhou Luo, Cunjun Li and Bing Zhang. Estimating the Aboveground Biomass for Planted Forests Based on Stand Age and Environmental Variables. Remote Sens. 2019, 11(19), 2270;

2Yidi Xu ,Le Yu*, Duole Feng，Dailiang Peng*,congcong Li, Xiaomeng Huang, Hui Lu&Peng Gong. Comparisons of three recent moderate resolution African land cover datasets: CGLS-LC100, ESA-S2-LC20, and FROM-GLC-Africa30[J]. International Journal of Remote Sensing, 2019, 40(16), 6185-6202.

3Yidi Xu, Le Yu*, Zhigang Cai , Jiyao zhao, Dailiang Peng*, congcong Li, Hui Lu, Chaoqing Yu& Peng Gong. Exploring intra-annual variation in cropland classification accuracy using monthly, seasonal, and yearly sample set. 2019, 40(23): 8748-8763

4Qiaoyun xie, Jadu Dash, Alfredo Huete, Aihui Jiang, Gaofei Yin, Yanling Ding, Dailiang Peng*, Christopher C. Hall, Luke Brown, Yue Shi, Huichun Ye, Yingying Dong, Wenjiang Huang. Retrieval of crop biophysical parameters from Sentinel-2 remote sensing imagery，International Journal of Applied Earth Observations and Geoinformation. 2019, 80:187-195.

5Xinjie Liu, Luis Guanter, Liangyun Liu, Alexander Damm, Zbyne k Malenovsky, Uwe Rascher, Dailiang Peng, Shanshan Dua, Jean-Philippe Gastellu-Etchegorry. Downscaling of solar-induced chlorophyll fluorescence from 1 canopy level to photosystem level using a random forest model. Remote Sensing of Environment. 2019. 231,110772.

6Shezhou 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 crop LAI, canopy height and above-ground biomass. Ecological Indicators. 2019. 102, 801-812.

7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.

8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，录用.

2018

9Dailiang Peng, Chaoyang Wu, Xiaoyang Zhang, Le Yu, Alfredo R. Huete, Fumin Wang, Shezhou Luo, Xinjie Liu, Helin Zhang. Scaling up spring phenology derived from remote sensing images. Agricultural and Forest Meteorology. 2018. 256–257：207–219.

10Dailiang Peng, Helin Zhang, Le Yu, Mingquan Wu, Fumin Wang, Wenjiang Huang, Liangyun Liu, Rui Sun, Cunjun Li, Dacheng Wang & Fubao Xu (2018) Assessing spectral indices to estimate the fraction of photosynthetically active radiation absorbed by the vegetation canopy, International Journal of Remote Sensing, 39:22, 8022-8040.

11Xiaoyue Wang, Chaoyang Wu*, Dailiang Peng*, Alemu Gonsamo, Zhengjia Liu. 2018. Snow cover phenology affects alpine vegetation growth dynamics on the Tibetan Plateau: Satellite observed evidence, impacts of different biomes, and climate drivers. Agricultural and Forest Meteorology. 2018. 256–257：61–74

12Qiaoyun Xie, Jadu Dash, Wenjiang Huang*, Dailiang Peng*, Qiming Qin, Hugh Mortimer, Raffaele Casa, Stefano Pignatti, Giovanni Laneve, Simone Pascucci, Yingying Dong, Huichun Ye. Vegetation indices combining the red and red-edge spectral information for leaf area index retrieval. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2018. 1939-1404.

13Xu, Y., Yu, L.*, Dailiang Peng *, 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 Landsat observations for cropland mapping: experiments from Egypt, Ethiopia and South Africa. International Journal of Remote Sensing. 2018, Accepted. 39(21): 7328-7349.

14Xiaoxuan Liu, Le Yu*, Wei Li, Dailiang Peng*, Liheng Zhong, et al., Comparison of country-level cropland areas between ESA-CCI land cover maps and FAOSTAT data International Journal of Remote Sensing. 2018. 39(20): 6631-6645.

15MingquanWu, Dailiang Peng*, YuchuQin, ZhengNiu, ChenghaiYang, WangLi, PengyuHao and ChunyangZhang. An index of non-sampling error in area frame sampling based on remote sensing data. Peer J. 2018.

16Yue Shi, Wenjiang Huang, Yingying Dong, Dailiang Peng, Qiong Zheng, The influence of landscape's dynamics on the Oriental Migratory Locust habitat change based on the time-series satellite data. Journal of Environmental Management 218 (2018) 280-290.

17Yue Shi , Wenjiang Huang , Huichun Ye, Chao Ruan, Naichen Xing, Yun Geng, Yingying Dong and Dailiang Peng. Partial Least Square Discriminant Analysis Based on Normalized Two-Stage Vegetation Indices for Mapping Damage from Rice Diseases Using PlanetScope Datasets. Sensors 2018, 18, 1901.

18Luo Shezhou; Chen Jing M.; Wang Cheng; Gonsamo Alemu; Xi Xiaohuan; Lin Yi; Qian, Mingjie; Dailiang Peng; Nie Sheng; Qin Haiming. Comparative performances of airborne LiDAR height and intensity data for leaf area index estimation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2018, 11（1）：300-310.

19Shenglei 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 assessment of global inland waters using a MODIS-derived Forel-Ule index. Remote Sensing of Environment, 2018, 217: 444-460.

20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.

21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.

2017

22Dailiang Peng, Xiaoyang Zhang, Bing Zhang, Liangyun Liu, Xinjie Liu, Alfredo R. Huete, Wenjiang Huang, Siyuan Wang, Shezhou Luo, Xiao Zhang and Helin Zhang. Scaling effects on spring phenology detections from MODIS data at multiple spatial resolutions over the contiguous United States. ISPRS Journal of Photogrammetry and Remote Sensing, 2017, 132, 185-198.

23Dailiang Peng, Xiaoyang Zhang, Chaoyang Wu, Wenjiang Huang, Alemu Gonsamo,Alfredo R. Huete, Kamel Didan, Bin Tan, Xinjie Liu, Bing Zhang. Intercomparison and evaluation of spring phenology products using National Phenology Network and AmeriFlux observations in the contiguous United States. Agricultural and Forest Meteorology, 2017, 242, 33-46.

24Dailiang Peng, Bing Zhang, Chaoyang Wu, Alfredo R. Huete, Alemu Gonsamo, Liping Lei,Guillermo E. Ponce-Campos, Xinjie Liu, Yanhong Wu. Country-level net primary production distribution and response to drought and land cover change. Science of the Total Environment. 2017，574: 65–77. 4.61

25Dailiang Peng, Chaoyang Wu, Cunjun Li, Xiaoyang Zhang, Zhengjia Liu, Huichun Ye, Shezhou Luo, Xinjie Liu, Yong Hu, Bin Fang. Spring green-up phenology products derived from MODIS NDVI and EVI: Intercomparison, interpretation and validation using National Phenology Network and AmeriFlux observations. Ecological Indicators. 2017. 77: 323-336.

26Chaoyang Wu, Dailiang Peng*, Kamel Soudani, Lukas Siebicke,Christopher M. Gough, M. Altaf Arain, Gil Bohrer, Peter M. Lafleur, Matthias Peichl,Alemu Gonsamo, Shiguang Xu, Bin Fang, Quansheng Ge. Land surface phenology derived from normalized difference vegetation index (NDVI) at global FLUXNET sites. Agricultural and Forest Meteorology. 2017 233,171–182.

27Zhengjia Liu, Chaoyang Wu*, Dailiang Peng*, Sisi Wang, Alemu Gonsamo, Bin Fang, Wenping Yuan. Improved modeling of gross primary production from a better representation of photosynthetic components in vegetation canopy. Agricultural & Forest Meteorology.2017, 233:222-234.

28Shezhou Luo, Cheng Wang, Xiaohuan Xi, Feifei Pan, Dailiang Peng, Jie Zou,Sheng Nie, Haiming Qin. (2017). Fusion of airborne LiDAR data and hyperspectral imagery for aboveground and belowground forest biomass estimation. Ecological Indicators 73,378–387.

29Shezhou Luo, Cheng Wang, Xiaohuan Xi, Feifei Pan, Mingjie Qian, Dailiang Peng, Sheng Nie, Haiming Qin, Yi Lin. Retrieving aboveground biomass of wetland Phragmites australis, (common reed) using a combination of airborne discrete-return LiDAR and hyperspectral data. International Journal of Applied Earth Observation & Geoinformation.2017:107–117.

30Weiping Kong, Wenjiang Huang*, Jiangui Liu, Pengfei Chen, Qiming Qin, Huichun Ye, Dailiang Peng, Yingying Dong, A. Hugh Mortimere. Estimation of canopy carotenoid content of winter wheat using multi-angle hyperspectral data. Advances in Space Research. 2017,60(9),1988-2000.

31张赫林, 彭代亮, 邓睿, 王大成, 韩永欢. 2017. 基于Landsat时间序列数据的祁连山区域土地利用变化研究. 北京工业大学学报，43(5): 10-21.

32王智颖，吴艳红，常军，张鑫，彭代亮. 2017. 青藏高原湖冰物候的时空变化及其影响因素. 北京工业大学学报，43(5): 701-709.

33Zhanqing Cai, DailiangPeng, Jingyi Wen, Zhi Gong, Tiantian Wang Yuekai Hu, Yuxi Wu, Junfeng Xu，Rainy season change in Sanjiangyuan, China area based on the meteorological stations data. IOP Conf. Series: Earth and Environmental Science 74 (2017) 012016 do i :10.1088/1755-1315/74/1/0120.

34Zhi Gong, Dailiang Peng, Jingyi Wen, Zhanqing Cai, Tiantian Wang,Yuekai Hu, Yaxin Ma, Junfeng Xu. Research on trend of warm-humid climate in Central Asia. IOP Conf. Series: Earth and Environmental Science 74 (2017) 012017 do i :10.1088/1755-1315/74/1/012017.

35王二丽，李存军，周静平，彭代亮，胡海棠，董熙. 基于多时相遥感影像的北京平原人工林树种分类. 北京工业大学学报. 2017, 43(5):710-718.

2016

36Dailiang Peng, Yong Hu, Zhengwang Li. (2016). Spectral reflectance and vegetation index changes in deciduous forest foliage following tree removal: potential for deforestation monitoring. Journal of Applied Spectroscopy, 83(2):330-337.

37Dailiang Peng, Chaoyang Wu, Bing Zhang, Alfredo Huete, Xiaoyang Zhang,Rui Sun, Liping Lei, Wenjing Huang, Liangyun Liu, Xinjie Liu, Jun Li, Shezhou Luo, Bin Fang. The Influences of Drought and Land-Cover Conversion on Inter-Annual Variation of NPP in the Three-North Shelterbelt Program Zone of China Based on MODIS Data. PLoS ONE. 2016.11(6):e0158173.

38Yuxia Liu, ChaoyangWu*, Dailiang Peng*, Shiguang Xu, Alemu Gonsamo, Rachhpal S. Jassal,M. Altaf Arain, Linlin Lu, Bin Fang, Jing M. Chen. Improved modeling of land surface phenology using MODIS land surface reflectance and temperature at evergreen needleleaf forests of central North America. Remote Sensing of Environment. 2016, 176: 152–162.

39Chaoyang Wu, Xuehui Hou, Dailiang Peng, Alemu Gonsamo, Shiguang Xu. Land surface phenology of China’s temperate ecosystems over1999–2013: Spatial–temporal patterns, interaction effects, covariation with climate and implications for productivity. Agricultural and Forest Meteorology. 2016, 216:177–187.

40Shezhou Luo, Jing M. Chen, Cheng Wang, Xiaohuan Xi, Hongcheng Zeng, Dailiang Peng, and Dong Li. Effects of LiDAR point density, sampling size and height threshold on estimation accuracy of crop biophysical parameters. OPTICS EXPRESS. 2016, 24(11): 11578-11593.

41Junsheng Li, Shenglei Wang, Yanhong Wu, Bing Zhang, Xiaoling Chen,Fangfang Zhang, Qian Shen, Dailiang Peng，and Liqiao Tian. MODIS observations of water color of the largest 10 lakes in China between 2000 and 2012, International Journal of Digital Earth. 2016. 9(8), 788–805.

2015

42Zhihui Wang ; Gary N. Bastin ; Liangyun Liu ; Peter A. Caccetta and Dailiang Peng. 2015. Estimating woody above-ground biomass in an arid zone of central Australia using Landsat imagery, Journal of Applied Remote Sensing. 9(1), 0960361-18 (Jun 25, 2015).

43梁栋, 杨勤英, 黄文江, 彭代亮, 赵晋陵, 黄林生, 张东彦, 宋晓宇. 基于小波变换与支持向量机回归的冬小麦叶面积指数估算. 红外与激光工程, 2015, 44(1): 335-340.

44徐焕颖,贾建华，刘良云，彭代亮*，李存军，吴耀平. 2015. 基于多源干旱指数的黄淮海平原干旱监测. 遥感技术与应用，30(1): 25-32.

招收地图学与地理信息系统等专业研究生

招生方向：植被定量遥感与全球变化

研二在读：王岩

研一在读：郑诗军