科研骨干 
院士专家
杰青优青
千人计划
百人计划
研究员
副研究员
特聘研究员
  副研究员  
当前位置:首页 > 人才队伍 > 科研骨干 > 副研究员
姓 名: 彭代亮 性 别:
职 称: 副研究员 学 历: 博士
电 话: 010-82178181 传 真: 010-82178177
Email: pengdl@radi.ac.cn 邮 编: 100094
地 址: 北京市、海淀区、邓庄南路9号
简  历:

教育背景:  

2009毕业于浙江大学环境与资源学院,获取博士学位,导师:黄敬峰教授 

科研工作经历:  

2010.3-至今,中国科学院遥感与数字地球研究所,中国科学院数字地球重点实验室,助理研究员,副研究员 

2015.11-2016.5,多伦多大学地理系,访问学者,导师:陈镜明教授 

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,导师:Alfredo R.Huete教授     

研究生培养: 已联合培养博士研究生、硕士研究生5 

研究方向:

植被生态遥感与全球变化 

专家类别:
副研究员
职  务:
社会任职:
承担科研项目情况:

  主持科研项目10余项,包括国家自然基金项目3项,国家重点研发计划项目子课题1项,中科院青年创新促进会人才项目1项,中科院数字地球科学平台1项等。另外,作为骨干参与项目12项,主要有国家重点研发计划项目1项,全球变化973项目及专题2项,863项目2项,国家自然基金委重大研究计划1项,国际合作项目2项等。主持主要项目如下: 

1.国家重点研发项目子课题,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,2016/07-2020/12 

2.国家自然基金委面上项目,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,2016/01-2019/12 

3.中国科学院人才项目,中国科学院青年创新促进会,2014/01-2017/12  

4.中科院遥感地球所所长青年基金A类,尺度效应对区域植被物候遥感估算的影响机理研究,2016/01-2017/12  

5.国家自然基金委青年基金,基于数字相机的低矮草地FPAR估算模型与观测方法研究,2013/01-2015/12  

6.国家自然基金委面上项目(子课题),遥感与生态因子耦合的小麦生产力估算模型研究,2012/01-2015/12 

7.中科院数字地球科学平台,全球气候变化植被生态系统响应空间观测,2011/01-2013/12  

获奖及荣誉:

中国科学院杰出科技成就奖(主要完成者)、中科院青年创新促进会会员等7 项荣誉 

代表论著:

代表论著:

专著: 

黄文江,孔维平,董莹莹,叶回春,彭代亮,谢巧云,邢乃琛,作物理化参数遥感定量反演,科学出版社,2017.  

代表性论文: 

发表及录用学术论文80多篇,其中SCI 40多篇、EI 35篇。第一/通讯作者论文40多篇(SCI 23篇、EI 10篇)。 第一/通讯作者JCR 1SCI论文15篇,包括ISPRS Journal of Photogrammetry and Remote SensingRemote Sensing of EnvironmentGlobal Biogeochemical CyclesAgricultural and Forest Meteorology等中科院SCI期刊分区TOP期刊论文10篇,主要论文如下: 

1      Dailiang Peng, Bing Zhang, Liangyun Liu, Hongliang Fang, Dongmei Chen,Yong Hu, Lingling Liu. 2012. Characteristics and drivers of global NDVI-based FPAR from 1982 to 2006. Global Biogeochemical Cycles. 26GB3015.  

2      Dailiang 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.

3      Dailiang 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. 256–257207–219.

4      Dailiang 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.

5      Dailiang Peng, Jingfeng Huang, Cunjun Li, Liangyun Liu, Wenjiang Huang, Fuming wang, Xiaohua Yang. 2013. Modelling paddy rice yield using MODIS data. Agricultural and Forest Meteorology. 184(15)107–116.   

6      Xiaoyue 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. 256–25761–74.

7      Yuxia 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.

8      Dailiang 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. 2017574: 65–77.

9      Dailiang Peng, Alfredo R Huete, Jingfeng Huang, Fuming Wang, Huasheng Sun. 2011. Detection and estimation of mixed paddy rice cropping patterns with MODIS data. International Journal of Applied Earth Observation and Geoinformation, 13(1):13-23.

10    Dailiang 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. 

11    Dailiang Peng, Jingfeng Huang, Chenxia Cai, Rui Deng, Junfeng Xu. 2008. Assessing the response of seasonal variation of NPP to climate using remote sensing data and GIS techniques in Xinjiang province. Journal of integrative Plant Biology. 50(12):1580-1588.

12    Chaoyang 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.

13    Zhengjia 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.

14    Dailiang 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.

15    Dailiang Peng, Zhangyan Jiang, Alfredo R. Huete, Guillermo Ponce-Campos, Uyen Nguyen, Jeffrey C. Luval. 2013. Response of spectral reflectances and vegetation indices on varying Juniper cone densities. Remote Sensing. 5(10), 5330-5345.

16    Dailiang Peng, Bing Zhang, Liangyun Liu. 2012. Comparing spatiotemporal patterns in Eurasian FPAR derived from two NDVI-based methods. International Journal of Digital Earth, 5(4), 283-298.

17    Dailiang Peng, Bing Zhang, Liangyun Liu, Dongmei Chen, Hongliang Fang, Yong Hu, 2012. Seasonal dynamic pattern analysis on global FPAR derived from AVHRR GIMMS NDVI. International Journal of Digital Earth, 5(5):439-455.

18    Dailiang 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.

19    Dailiang Peng, Jingfeng Huang, Alfredo R Huete, Taiming Yang, Ping Gao, Yanchun Chen, Hui Chen, Jun Li, Zhanyu Liu. 2010. Spatial and seasonal characterization of net primary productivity and climate variables in southeastern China using MODIS data. Journal of Zhejiang University SCIENCE B. 11(4):275-285.

20    Dailiang 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. Accepted.

21    Qiaoyun 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.

22    Xiaoxuan Liu, Le Yu, Dailiang Peng*, Qinchuan Xin, Le Li, Liheng Zhong, Hui Lu, Chaoqing Yu, Peng Gong. Evaluation of ESA-CCI LC and FAO cropland area at country level. International Journal of Remote Sensing. Accepted.

23    Yidi Xu, Le Yu, Dailiang Peng *, Xueliang Cai, Yuqi Cheng, Jiyao Zhao, Yuanyuan Zhao, Duole Feng, Kwame Hackman, Xiaomeng Huang, Hui Lu, Chaoqing Yu, Peng Gong. Exploring the temporal density of Landsat observations for cropland mapping: experiments from Egypt, Ethiopia and South Africa. International Journal of Remote Sensing. Accepted. 

24    Dailiang Peng, Cunjun Li, Jingfeng Huang, Bin Zhou and Xiaohua Yang. 2012. Crop monitoring using a Multiple Cropping Index based on multi-temporal MODIS data. African Journal of Agricultural Research. 7(26), 3828-3838. 

25    Dailiang Peng, Jingfeng Huang, Huimin Jin. 2007. Monitoring the Sequential Cropping Index of Arable Land in Zhejiang Province of China Using MODIS-NDVI. Agricultural Sciences in China. 6(2):208-213.

26    Chaoyang 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 

27    Shezhou 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.

28    Shezhou 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. 

29    Shezhou 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. 

30    Junsheng Li, Shenglei Wang, Yanhong Wu, Bing Zhang, Xiaoling Chen,Fangfang Zhang, Qian Shen, Dailiang Pengand 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.

31    Liangyun Liu, Dailiang Peng, Wang Zhiwui, Yong Hu. 2014. Improving artificial forest biomass estimates using afforestation age information from time series Landsat stacks. Environmental monitoring and assessment 186 (11), 7293-7306.

32    Liangyun Liu, Dailiang Peng, Yong Hu and Quanjun Jiao. 2013. A Novel in Situ FPAR Measurement Method for Low Canopy Vegetation Based on a Digital Camera and Reference Panel. Remote Sensing 2013, 5, 274-281.

33    Zhihui 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).

34    Hu Yong, Liangyun Liu, Dailiang Peng, Quanjun Jiao. 2014. A Landsat-5 atmospheric correction based on MODIS atmosphere products and 6S model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 5.1609-1619.

35    Liangyun Liu, Yongjiang Zhang, Quanjun Jiao, Dailiang Peng. 2013. Assessing photosynthetic light-use efficiency using solar-induced chlorophyll fluorescence and photochemical reflectance index (PRI). International Journal of Remote Sensing, 34(12):4264-4280.

36    Fumin Wang, Jingfeng Huang, Yuan Wang, Zhuanyu Liu, Dailiang Peng, Feifeng Ca, 2013. Monitoring nitrogen concentration of oilseed rape from hyperspectral data using radial basis function. International Journal of Digital Earth, 6:6, 550-562.

37    Linlin Guan, Liangyun Liu, Dailiang Peng, Yong Hu, Quanjun Jiao, Lingling Liu. 2012. Monitoring the distribution of C3 and C4 grasses in a temperate grassland in northern China using MODIS NDVI trajectories. Journal of Applied Remote Sensing, 6, 063535-1-13.

38    Huasheng Sun, Jingfeng Huang, Alfredo R. Huete, Dailiang Peng, Feng Zhang. 2009. Mapping paddy rice with multi-date moderate-resolution imaging spectroradiometer (MODIS) data in China. Journal of Zhejiang University SCIENCE A. 10(10):1509-1522.

39    Yan Jin, Jingfeng Huang, Dailiang Peng, 2009. A new quantitative model of ecological compensation based on ecosystem capital in Zhejiang Province, China, Journal of Zhejiang University SCIENCE B. 10(4): 301–305.

40    彭代亮. 周斌.刘良云;杨晓华.2013. 北美永久湿地NDVI时序变化特征分析——以哈德逊湾西南湿地区域为例, 遥感技术与应用,28(6):1054-1061.

41    彭代亮,周炼清,黄敬峰,周斌,王福民. 2011. 基于抽样调查地块实测数据的省级水稻单产遥感估算. 农业工程学报, 27(9)106-114.

42    彭代亮,黄敬峰,王福民,孙华生. 2010. 基于空间分析与两维图论聚类的湖南水稻遥感估产分区, 农业工程学报, 26: 156161.

43    彭代亮,黄敬峰,王福民,孙华生. 2010. 基于分区的水稻总产遥感估算研究, 中国科学:信息科学, 40: 184-195.

44    彭代亮,黄敬峰,孙华生,王福民. 2010. 基于Terra Aqua MODIS增强型植被指数的县级水稻总产遥感估算, 中国水稻科学. 24(5):516-522.

45    彭代亮, 黄敬峰, 王秀珍. 2007. 基于MODIS-EVI区域植被季节变化与气象因子的相关性分析,应用生态学报, 18(5)983—989.

46    彭代亮,黄敬峰,邓睿,蔡承侠. 2007. 新疆月平均气温空间化处理及结果分析, 浙江大学学报(理学版), 34(5):580-584.

47    彭代亮,邓睿,黄敬峰,蔡承侠. 2007. 基于GIS新疆地区干湿状况时空变化分析,科技通报. 23(5):635-640.

48    谢巧云,黄文江,梁 栋,彭代亮,黄林生,宋晓宇,张东彦,杨贵军. 2014最小二乘支持向量机方法对冬小麦叶面积指数反演的普适性研究. 光谱学与光谱分析.34(2), 489-493.

49    赵娟,张耀鸿,黄文江,景元书,彭代亮,王力,宋晓宇. 2014. 基于热点效应的不同株型小麦LAI反演. 光谱学与光谱分析. 134):207-211.

50    谢巧云, 黄文江, 蔡淑红, 梁栋, 彭代亮, 张清, 黄林生, 杨贵军, 张东彦. 2014. 冬小麦叶面积指数遥感反演方法比较研究. 光谱学与光谱分析. 5(34)1352-1356.

51    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.

52    刘良云,关琳琳,彭代亮,胡勇,刘玲玲. 2012. C3C4作物的光保护机制差异的光谱探测研究.遥感学报,16(4):783-795.

53    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.

54    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.

55    孙晨曦, 刘良云, 关琳琳, 焦全军, 彭代亮. 锡林浩特草原区域MODIS LAI产品真实性检验与误差分析. 遥感学报.2014. 18(3): 527-536

56    董洲,赵霞,梁栋,黄文江,彭代亮,黄林生. 内蒙古灌丛化草原分布特征的遥感辨识. 农业工程学报. 2014.30(11)152-158.

57    张健,刘良云,焦全军,彭代亮. 基于能量平衡原理的FPAR遥感反演研究. 遥感技术与应用,2014. 296):976-983.

58    梁栋,谢巧云,黄文江,彭代亮,杨晓华,黄林生,胡勇.2013. 基于最小二乘支持向量机的时间序列叶面积指数预测研究. 红外与激光工程, 2014, 43(1): 243-248.

59    赵晶晶,刘良云,徐自为,焦全军,彭代亮,胡 勇,刘绍民. 2011. 华北平原冬小麦总初级生产力的遥感监测,农业工程学报,27(13):346-351.

60    邓睿,黄敬峰,王福民,孙华生,彭代亮. 2010. 基于中分辨率成像光谱仪(MODIS)数据的水稻遥感估产研究——以江苏省为例. 中国水稻科学, 24(1)87-92.

61    孙华生,黄敬峰,彭代亮. 2009. 利用MODIS数据识别水稻关键生长发育期.遥感学报, (6):1130-1146.

62    李军,高苹,陈艳春,陈惠,杨太明,黄敬峰,金志凤,彭代亮. 2008.华东地区耕作制度对积温变化的响应. 生态学杂志, 273):361-368.

63    王红说,黄敬峰,徐俊锋,彭代亮. 2008. 基于MODIS NDVI时间序列谱匹配的耕地信息提取研究——以浙中地区为例,浙江大学学报(农业与生命科学版). 34 (3):334-340.     

专利: 

1. 彭代亮,张赫林,张肖,徐富宝,叶回春,王大成一种基于EVI2季节变化曲线的年GPP估算方法及系统, 201810076612.7

2. 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,2013107129288

3.黄敬峰,彭代亮,王福民,基于统计局统计抽样调查地块实割实测数据的省级水稻单产遥感估算方法,201010271905.4 

4.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, 201210343165.X 

5.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, 201210339810.0  

6.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,CN201310182889.5