彭代亮

彭代亮,博士,中國科學院遙感與數字地球研究所副研究員、碩士生導師。研究方向為植被生態遙感與全球變化。

人物經歷

教育背景:

2009畢業於浙江大學環境與資源學院,獲取博士學位,導師:黃敬峰教授

科研工作經歷:

2010.3-至今,中國科學院遙感與數字地球研究所,中國科學院數字地球重點實驗室,助理研究員,副研究員

2015.11-2016.5,多倫多大學地理系,訪問學者,導師:陳鏡明教授

2014.11-2014.12,美國農業部、南達科他州立大學、喬治梅森大學,中國科學院創新人才培訓,多星協同觀測和聚集服務技術

2011.10-2011.11,澳大利亞聯邦科學與工業研究組織(CSIRO),碳計量模型學習交流

2008.10–2009.10,美國亞利桑那大學,生物物理遙感,聯合培養博士,導師:Alfredo R.Huete教授 

研究生培養: 已聯合培養博士研究生、碩士研究生5名

承擔科研項目情況

主持科研項目10餘項,包括國家自然基金項目3項,國家重點研發計畫項目子課題1項,中科院青年創新促進會人才項目1項,中科院數字地球科學平台1項等。另外,作為骨幹參與項目12項,主要有國家重點研發計畫項目1項,全球變化973項目及專題2項,863項目2項,國家自然基金委重大研究計畫1項,國際合作項目2項等。主持主要項目如下:

1.國家重點研發項目子課題,光合有效輻射吸收係數(FPAR)遙感立體協同反演模型方法研究,2016/07-2020/12

2.國家自然基金委面上項目,時序遙感數據與生長模型結合的區域人工林地上生物量估算方法研究,2016/01-2019/12

3.中國科學院人才項目,中國科學院青年創新促進會,2014/01-2017/12

4.中科院遙感地球所所長青年基金A類,尺度效應對區域植被物候遙感估算的影響機理研究,2016/01-2017/12

5.國家自然基金委青年基金,基於數字相機的低矮草地FPAR估算模型與觀測方法研究,2013/01-2015/12

6.國家自然基金委面上項目(子課題),遙感與生態因子耦合的小麥生產力估算模型研究,2012/01-2015/12

7.中科院數字地球科學平台,全球氣候變化植被生態系統回響空間觀測,2011/01-2013/12。

論著發表情況

代表論著:

專著:

黃文江,孔維平,董瑩瑩,葉回春,彭代亮,謝巧雲,邢乃琛,作物理化參數遙感定量反演,科學出版社,2017.

代表性論文:

發表及錄用學術論文80多篇,其中SCI 40多篇、EI 35篇。第一/通訊作者論文40多篇(SCI 23篇、EI 10篇)。 第一/通訊作者JCR 1區SCI論文15篇,包括ISPRS Journal of Photogrammetry and Remote Sensing、Remote Sensing of Environment、Global Biogeochemical Cycles、Agricultural and Forest Meteorology等中科院SCI期刊分區TOP期刊論文10篇,主要論文如下:

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. 26,GB3015.

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. 256–257:207–219.

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. 256–257:61–74.

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. 2017,574: 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 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.

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.劉良雲;楊曉華.2013. 北美永久濕地NDVI時序變化特徵分析——以哈德遜灣西南濕地區域為例, 遙感技術與套用,28(6):1054-1061.

41 彭代亮,周煉清,黃敬峰,周斌,王福民. 2011. 基於抽樣調查地塊實測數據的省級水稻單產遙感估算. 農業工程學報, 27(9):106-114.

42 彭代亮,黃敬峰,王福民,孫華生. 2010. 基於空間分析與兩維圖論聚類的湖南水稻遙感估產分區, 農業工程學報, 26: 156-161.

43 彭代亮,黃敬峰,王福民,孫華生. 2010. 基於分區的水稻總產遙感估算研究, 中國科學:信息科學, 40: 184-195.

44 彭代亮,黃敬峰,孫華生,王福民. 2010. 基於Terra Aqua MODIS增強型植被指數的縣級水稻總產遙感估算, 中國水稻科學. 24(5):516-522.

45 彭代亮, 黃敬峰, 王秀珍. 2007. 基於MODIS-EVI區域植被季節變化與氣象因子的相關性分析,套用生態學報, 18(5):983—989.

46 彭代亮,黃敬峰,鄧睿,蔡承俠. 2007. 新疆月平均氣溫空間化處理及結果分析, 浙江大學學報(理學版), 34(5):580-584.

47 彭代亮,鄧睿,黃敬峰,蔡承俠. 2007. 基於GIS新疆地區乾濕狀況時空變化分析,科技通報. 23(5):635-640.

48 謝巧雲,黃文江,梁 棟,彭代亮,黃林生,宋曉宇,張東彥,楊貴軍. 2014最小二乘支持向量機方法對冬小麥葉面積指數反演的普適性研究. 光譜學與光譜分析.34(2), 489-493.

49 趙娟,張耀鴻,黃文江,景元書,彭代亮,王力,宋曉宇. 2014. 基於熱點效應的不同株型小麥LAI反演. 光譜學與光譜分析. 1(34):207-211.

50 謝巧雲, 黃文江, 蔡淑紅, 梁棟, 彭代亮, 張清, 黃林生, 楊貴軍, 張東彥. 2014. 冬小麥葉面積指數遙感反演方法比較研究. 光譜學與光譜分析. 5(34)1352-1356.

51 徐煥穎,賈建華,劉良雲,彭代亮*,李存軍,吳耀平. 2015. 基於多源乾旱指數的黃淮海平原乾旱監測. 遙感技術與套用,30(1): 25-32.

52 劉良雲,關琳琳,彭代亮,胡勇,劉玲玲. 2012. C3、C4作物的光保護機制差異的光譜探測研究.遙感學報,16(4):783-795.

53 張赫林, 彭代亮, 鄧睿, 王大成, 韓永歡. 2017. 基於Landsat時間序列數據的祁連山區域土地利用變化研究. 北京工業大學學報,43(5): 10-21.

54 梁棟, 楊勤英, 黃文江, 彭代亮, 趙晉陵, 黃林生, 張東彥, 宋曉宇. 基於小波變換與支持向量機回歸的冬小麥葉面積指數估算. 紅外與雷射工程, 2015, 44(1): 335-340.

55 孫晨曦, 劉良雲, 關琳琳, 焦全軍, 彭代亮. 錫林浩特草原區域MODIS LAI產品真實性檢驗與誤差分析. 遙感學報.2014. 18(3): 527-536

56 董洲,趙霞,梁棟,黃文江,彭代亮,黃林生. 內蒙古灌叢化草原分布特徵的遙感辨識. 農業工程學報. 2014.30(11):152-158.

57 張健,劉良雲,焦全軍,彭代亮. 基於能量平衡原理的FPAR遙感反演研究. 遙感技術與套用,2014. 29(6):976-983.

58 梁棟,謝巧雲,黃文江,彭代亮,楊曉華,黃林生,胡勇.2013. 基於最小二乘支持向量機的時間序列葉面積指數預測研究. 紅外與雷射工程, 2014, 43(1): 243-248.

59 趙晶晶,劉良雲,徐自為,焦全軍,彭代亮,胡 勇,劉紹民. 2011. 華北平原冬小麥總初級生產力的遙感監測,農業工程學報,27(13):346-351.

60 鄧睿,黃敬峰,王福民,孫華生,彭代亮. 2010. 基於中解析度成像光譜儀(MODIS)數據的水稻遙感估產研究——以江蘇省為例. 中國水稻科學, 24(1):87-92.

61 孫華生,黃敬峰,彭代亮. 2009. 利用MODIS數據識別水稻關鍵生長發育期.遙感學報, (6):1130-1146.

62 李軍,高苹,陳艷春,陳惠,楊太明,黃敬峰,金志鳳,彭代亮. 2008.華東地區耕作制度對積溫變化的回響. 生態學雜誌, 27(3):361-368.

63 王紅說,黃敬峰,徐俊鋒,彭代亮. 2008. 基於MODIS NDVI時間序列譜匹配的耕地信息提取研究——以浙中地區為例,浙江大學學報(農業與生命科學版). 34 (3):334-340.

專利:

1. 彭代亮,張赫林,張肖,徐富寶,葉回春,王大成一種基於EVI2季節變化曲線的年GPP估算方法及系統, 201810076612.7

2. 張兵,張文娟,陳正超,彭代亮,申茜,徐豐,檢測遙感道路圖像精度的方法及裝置,2013107129288

3.黃敬峰,彭代亮,王福民,基於統計局統計抽樣調查地塊實割實測數據的省級水稻單產遙感估算方法,201010271905.4

4.黃文江,謝巧雲,彭代亮,張兵,劉良雲,申茜,孫剛,一種遙感反演精度檢測方法及裝置, 201210343165.X

5.黃文江,劉良雲,楊貴軍,孫剛,申茜,彭代亮,張清,一種植被空間分布狀態測量方法及裝置, 201210339810.0

6.黃文江,楊勤英,劉良雲,彭代亮,申茜,倪麗,一種基於遙感圖像的葉面積指數反演方法及裝置,CN201310182889.5


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