彭代亮，中国科学院空天信息创新研究院，研究员，中国科学院青年创新促进会会员， The Innovation期刊青年编委、Land期刊编委。研究方向为植被生态遥感、高光谱农业大数据遥感，重点开展物候与植被生产力等碳循环关键参量、小麦大豆水稻等大宗作物面积测算与产量预测等方面研究。先后主持国家重点研发计划项目、国家自然科学基金项目等20余项; 发表论文140余篇，国家发明专利10余项，合作专著3部。获得中国科学院杰出科技成就奖、地理信息科技进步一等奖等。相关成果受国家部委相关部门多次采纳，入选2017遥感监测绿皮书《中国可持续发展遥感监测报告》、2018与2019《中国生态环境质量报告》、2021《地球大数据支撑可持续发展目标报告》，并得到搜狐、华人头条、今日头条、中国外文局融媒体中心百万庄通讯社等报道。
工作经历:
2020.12-至今 中国科学院空天信息创新研究院 研究员
2019.07-2020.12 中国科学院空天信息创新研究院 副研究员
2015.11-2016.05 多伦多大学 访问学者
2013.04-2019.06 中国科学院遥感与数字地球研究所 副研究员
2010.04-2013.03 中国科学院对地观测与数字地球科学中心，中国科学院遥感与数字地球研究所助理研究员
植被生态遥感、高光谱农业大数据遥感
（1）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国家任务2020.12-2023.11
（2）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国家任务2020.12-2026.12
（3）天基监测数据采集与应用项目负责人中国科学院计划2021.09-2026.08
（4）生态系统关键参数遥感反演任务负责人国家任务2019.11-2024.10
（5）基于深度学习的小麦植被参量高光谱遥感反演研究重点基金任务负责人国家自然科学基金重点目2020.12-2027.12
2023
1Yuhao 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 Letter 18 (2023) 044045.
2022
2Huadong Guo, Dong Liang , Zhongchang Sun，Fang Chen, Xinyuan Wang, Junsheng Li, Li Zhu , Jinhu Bian, Yanqiang Wei, Lei Huang, Yu Chen, Dailiang Peng, Xiaosong Li,Shanlong Lu, Jie Liu, Zeeshan Shirazi. Measuring and evaluating SDG indicators with Big Earth Data. Science Bulletin 2022，67：1792-1801.
3Lou, Zihang, Dailiang Peng*, Xiaoyang Zhang, Le Yu, Fumin Wang, Yuhao Pan, Shijun Zheng, Jinkang Hu, Songlin Yang, Yue Chen, and Shengwei Liu. Soybean EOS Spatiotemporal Characteristics and Their Climate Drivers in Global Major Regions. 2022 Remote Sensing 14, no. 8: 1867.
4Liu, Shengwei, Dailiang Peng*, Bing Zhang, Zhengchao Chen, Le Yu, Junjie Chen, Yuhao Pan, Shijun Zheng, Jinkang Hu, Zihang Lou, Yue Chen, and Songlin Yang. The Accuracy of Winter Wheat Identification at Different Growth Stages Using Remote Sensing. Remote Sens. 2022, 14, 893.
5Pan, Y.;Wang, Y.; Zheng, S.; Huete, A.R.; Shen, M.; Zhang, X.; Huang, J.; He, G.; Yu, L.; Xu, X.; Dailiang Peng*. Characteristics of Greening along Altitudinal Gradients on the Qinghai–Tibet Plateau Based on Time-Series Landsat Images. Remote Sens. 2022, 14, 2408. https://doi.org/10.3390/rs14102408
6Pengliang Wei, Dengfeng Chai, Ran Huang, Dailiang Peng, Tao Lin, Jinming Sha, Weiwei Sun, Jingfeng Huang. 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. Volume 112. 2022. 102948. ISSN 1569-8432.
7Wang, Fumin, Siting Chen, Qiuxiang Yi, Dailiang Peng*, Xiaoping Yao, Tianyue Xu, Jueyi Zheng, and Jiale Li. 2022. "Characterizing Spatial Patterns of the Response Rate of Vegetation Green-Up Dates to Land Surface Temperature in Beijing, China (2001–2019)" Remote Sensing 14, no. 12: 2788.
8Qiang Zhao, Le Yu *, Dailiang Peng, Pengyu Hao, Yongguang Zhang, Peng Gong. An Overview of the Applications of Earth Observation Satellite Data: Impacts and Future Trends. Remote Sens. 2022, 14, 1863. https://doi.org/10.3390/rs14081863
9Tao Liu, Zhigang Li, Le Yu, Xin Chen, Bowen Cao, Xiyu Li, Zhenrong Du, Dailiang Peng and Langong Hou. Global relative ecosystem service budget mapping using the Google Earth Engine and land cover datasets. 2022. Environmental Research Communications, Volume 4, Number 6.
10Du, Meiqi, Jingfeng Huang, Pengliang Wei, Lingbo Yang, Dengfeng Chai, Dailiang Peng, Jinming Sha, Weiwei Sun, and Ran Huang. 2022. "Dynamic Mapping of Paddy Rice Using Multi-Temporal Landsat Data Based on a Deep Semantic Segmentation Model" Agronomy 12, no. 7: 1583.
11Le Yu, Zhenrong Du, Runmin Dong, Juepeng Zheng, Ying Tu, Xin Chen, Pengyu Hao, Bo Zhong, Dailiang Peng, Jiyao Zhao, Xiyu Li, Jianyu Yang, Haohuan Fu, Guangwen Yang ， Peng Gong (2022) FROM-GLC Plus: toward near real-time and multi-resolution land cover mapping, GIScience ， Remote Sensing, 59:1, 1026-1047.
12Xin Chen, Le Yu, Zhenrong Du, Yidi Xu, Jiyao Zhao, Haile Zhao, Guoliang Zhang, Dailiang Peng, Peng Gong. Distribution of ecological restoration projects associated with land use and land cover change in China and their ecological impacts, Science of The Total Environment, Volume 825,2022,153938, ISSN 0048-9697.
13Shijun Zheng, Yuhao Pan, LeYu, Shengwei Liu, Dailiang Peng*. Possible future movement of the Hu line based on IPCC CMIP6 scenarios. Environ. Res. Commun. 4 (2022) 095008.
14Hongxin Zhang, Xiaoyue Wang, and Dailiang Peng. Evaluation of Urban Vegetation Phenology Using 250 m MODIS Vegetation Indices. Photogrammetric Engineering & Remote Sensing. Vol. 88, No. 7, July 2022, pp. 461–467.
15Cheng E, Zhang B, Dailiang Peng*, Zhong L,Yu L, Liu Y, Xiao C, Li C, Li X, Chen Y,Ye H, Wang H, Yu R, Hu J and Yang S. (2022) Wheat yield estimation using remote sensing data based on machine learning approaches. Front. Plant Sci. 13:1090970.doi: 10.3389/fpls.2022.1090970.
16Hu J, Zhang B, Dailiang Peng, Yu R, Liu Y, Xiao C, Li C, Dong T, Fang M, Ye H, Huang W, Lin B, Wang M, Cheng E and Yang S (2022) Estimation of wheat tiller density using remote sensing data and machine learning methods. Front. Plant Sci. 13:1075856.doi: 10.3389/fpls.2022.1075856.
17Lin, C.; Hu, Y.; Liu, Z.; Peng, Y.;Wang, L.; Dailiang Peng. Estimation of Cultivated Land Quality Based on Soil Hyperspectral Data. Agriculture .2022, 12, 93. https://doi.org/10.3390/agriculture12010093
18Yanyu Wang;Ziqiang Ma;Yuhong He;Wu Yu;Jinfeng Chang;Dailiang Peng;Xiaoxiao Min;Hancheng Guo;Yi Xiao;Lingfang Gao;Zhou Shi. Vegetation disturbances characterization in the Tibetan Plateau from 1986 to 2018 using Landsat time series and field observations. Environ. Res. Lett. 18 014016.
2021
19Dailiang 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. Remote Sensing of Environment 252 (2021) 112133.
20Wang, F., Harindintwali, J.D., Yuan, Z., Wang, M., Wang, F., Li, S., Yin, Z., Huang, L., Fu, Y., Li, L., Chang, S.X., Zhang, L., Rinklebe, J., Yuan, Z., Zhu, Q., Xiang, L., Tsang, D.C., Xu, L., Jiang, X., Liu, J., Wei, N., K？stner, M., Zou, Y., Ok, Y.S., Shen, J., Peng, D., Zhang, W., Barcelo, D., Zhou, Y., Bai, Z., Li, B., Zhang, B., Wei, K., Cao, H., Tan, Z., Zhao, L.-b., He, X., Zheng, J., Bolan,N., Liu, X., Huang, C., Dietmann, S., Luo, M., Sun, N., Gong, J., Gong, Y., Brahushi, F., Zhang, T., Xiao, C., Li, X., Chen, W., Jiao, N., Lehmann, J., Zhu, Y.-G., Jin, H., Schaeffer, A., Tiedje, J.M., Chen, J.M., Technologies and perspectives for achieving carbon neutrality, The Innovation (2021), doi: https://doi.org/10.1016/j.xinn.2021.100180.
21Helin Zhang, Rui Sun, Dailiang Peng, Xiaohua Yang, Yan Wang, Yueming Hu, Shijun Zheng, Jingyu Zhang, Jia Bai, Qi Li. Spatiotemporal Dynamics of Net Primary Productivity in China’s Urban Lands during 1982–2015. Remote Sens.2021,13(3), 400.https://doi.org/10.3390/rs13030400
22Yonglei 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 Sens. 2021, 13, 4859. https://doi.org/10.3390/rs13234859.
23Qiang 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 Sens. 2021, 13(18), 3778. https://doi.org/10.3390/rs13183778
24Shijun Zheng, Bing Zhang, Dailiang Peng*, Le Yu, Binbin Lin, Yuhao Pan, Qiaoyun Xie. The trend towards a warmer and wetter climate observed in arid and semi-arid areas of northwest China from 1959 to 2019. 2021 Environ. Res. Commun. 3 115011
25Miaogen 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 313:108759. DOI: 10.1016/j.agrformet.2021.108759
26Xiyu Li, Le Yu, Dailiang Peng and Peng Gong. 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, 2021 42:19, 7332-7356, DOI: 10.1080/01431161.2021.1957177
27Xiaoxuan Liu, Le Yu, Wenjia Cai, Qun Ding, Weixun Hu, Dailiang Peng, Wei Li, Zheng Zhou, Xiaomeng Huang, Chaoqing Yu, Peng Gong. The land footprint of the global food trade: Perspectives from a case study of soybeans. Land Use Policy 111(2021)105764. https://doi.org/10.1016/j.landusepol.2021.105764
28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［J］. 遥感技术与应用，2021，36（2）：332-341
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［J］. 遥感技术与应用，2021，36（4）：916-925.
30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[J]. 中国科学院院刊，2021,36(08),923-931
2020
31Yan Wang, Dailiang Peng*, Yu, L., Zhang, Y., Yin, J., Zhou, L., Zheng, S., Wang, F., ， Li, C. (2020). Monitoring Crop Growth During the Period of the Rapid Spread of COVID-19 in China by Remote Sensing. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 6195-6205
32Xu 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/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, 63, 1390–1407. https://doi.org/10.1007/s11430-019-9606-4.
33Miaogen Shen, Jiang N, Dailiang Peng#, et al. Can changes in autumn phenology facilitate earlier green-up date of northern vegetation? Agricultural and Forest Meteorology 2020, 291, 108077
34Zhao, 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 city centres and urban expansion areas of China’s major cities. International Journal of Remote Sensing 2020, 41, 8963-8983
35Chen, S.; Liu, L.; He, X.; Liu, Z.; Dailiang Peng. Upscaling from Instantaneous to Daily Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) for Satellite Products. Remote Sensing 2020, 12, 2083
36Liu, X., Yu, L., Dong, Q., Dailiang Peng, Wu, W., Yu, Q., Cheng, Y., Xu, Y., Huang, X., Zhou, Z., Wang, D., Fang, L., Gong, P. 2020. Cropland heterogeneity changes on the Northeast China Plain in the last three decades (1980s–2010s). Peer J.
37Wang, Y.; Dailiang Peng *; Shen, M.; Xu, X.; Yang, X.; Huang, W.; Yu, L.; Liu, L.; Li, C.; Li, X., et al. Contrasting effects of temperature and precipitation on vegetation greenness along elevation gradients of the tibetan plateau. Remote Sensing 2020, 12, 2751.
38Liangyun 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 of Remote Sensing, 2 (2020) 100009.
39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
40Bing Zhang*, Zhengchao Chen, Dailiang Peng, Benediktsson J A*, Bo Liu, Lei Zou, Jun Li, Plaza A. Remotely sensed big data: evolution in model development for Information extraction. Proceedings of the IEEE, 2019,107(12): 2294-2301.
41Dailiang 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.
42Yidi 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.
43Yidi 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. International Journal of Remote Sensing. 2019, 40(23): 8748-8763.
44Qiaoyun 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.
45Xinjie 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 canopy level to photosystem level using a random forest model. Remote Sensing of Environment. 2019. 231,110772.
46Shezhou 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.
47Liangyun Liu, Xiao Zhang, Shuai Xie, Xinjie Liu, Bowen Song, Siyuan Chen and Dailiang Peng. Global White-Sky and Black-Sky FAPAR Retrieval Using the Energy Balance Residual Method: Algorithm and Validation. Remote Sens. 2019, 11, 1004; doi:10.3390/rs11091004.
48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.
49焦雪敏，张赫林，徐富宝，王岩，彭代亮，李存军，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, 35(4): 950-961.
50X. Yang, Z. Chen, B. Li, D. Peng, P. Chen and B. Zhang, "A Fast and Precise Method for Large-Scale Land-Use Mapping Based on Deep Learning," IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019, pp. 5913-5916, doi: 10.1109/IGARSS.2019.8898705.
51田洋洋,张静文,张雪雪,彭代亮,陈雷,张竞成.长江中下游典型地区水稻纹枯病生境评价多源数据集[J].中国科学数据(中英文网络版),2019,4(04):92-105.
2018
52Dailiang 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.
53Dailiang 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, DOI: 10.1080/01431161.2018.1479795.
54Xiaoyue 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.
55Qiaoyun 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.
56Xu, 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, 39(21), 7328-7349.
57Xiaoxuan 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.
58Yue 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.
59Yue 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.
60Wu M, Peng D*, Qin Y, Niu Z, Yang C, Li W, Hao P, Zhang C. An index of non-sampling error in area frame sampling based on remote sensing data. PeerJ. 2018 Nov 12;6:e5824.
61Luo, Shezhou,; Chen, Jing M.; Wang, Cheng; Gonsamo, Alemu; Xi, Xiaohuan; Lin, Yi; Qian, Mingjie; Peng, Dailiang; 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.
62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.
63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.
64许君一,徐富宝,张雅琼,彭代亮,聂忆黄,李晓红,范海生,张赫林,张强.基于灰度共生矩阵的未利用地疑似污染遥感识别[J].北京工业大学学报,2018,44(11):1423-1433.
65Shenglei 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. 2018, 217: 444-460.
2017
66Dailiang 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.
67Dailiang 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.
68Dailiang 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.
69Dailiang 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.
70Chaoyang 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.
71Zhengjia 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.
72Shezhou 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.
73Shezhou 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.
74Weiping 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.
75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.
76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.
77Zhanqing 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.
78Zhi 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.
79Li L, Wu Y, Zhou X, Liu L, Wei Y, Peng D, Lei L, Huang W, Zhang B. Analysis of change detection algorithms with Landsat-8 data on landslide mapping in the Kaikoura earthquake. In2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017 Jul 23 (pp. 1950-1953). IEEE.
80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
81Dailiang 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.
82Dailiang 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.
83Yuxia 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.
84Chaoyang 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.
85Shezhou 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.
86Junsheng 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
87Zhihui 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).
88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.
89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.
2014
90Dailiang Peng, Jingfeng Huang, Cunjun Li, Liangyun Liu, Wenjiang Huang, Fuming wang, Xiaohua Yang. Modelling paddy rice yield using MODIS data. Agricultural and Forest Meteorology. 2014, 184(15): 107–116.
91Liangyun 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.
92Hu 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.
93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.
94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. 1（34）：207-211.
95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.
96Huang Wenjing, Yang Qinyin, Peng Dailiang, Huang Linsheng, Zhang Dongyan and Yang Guijun, Nitrogen vertical distribution by canopy reflectance spectrum in winter wheat. 35TH International Symposium on Remote Sensing of Environment (ISRSE), Earth Observation and Global Environmental Change-50 Years of Remote Sensing: Progress and Prospects. Beijing, China. 17. 1-6. 2014
97Liu, Liangyun, Peng, Dailiang, Wang, Zhihui, ， Hu, Yong (2014, November). Mapping afforestation and forest biomass using time-series Landsat stacks. In SPIE Asia Pacific Remote Sensing (pp. 92601V-92601V). International Society for Optics and Photonics.
98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.
99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.
100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. 29（6）：976-983.
2013
101Liangyun 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.
102Liangyun 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.
103Dailiang 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.
104Fumin 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.
105Dailiang Peng*, Zhou Bin, Cunjun Li, Xiaohua Yang. 2013. Phenological characteristics of main vegetation types in Tibetan Plateau based on vegetation and water index. 35TH International Symposium on Remote Sensing of Environment (ISRSE), Earth Observation and Global Environmental Change-50 Years of Remote Sensing: Progress and Prospects. Beijing, China.
106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.
107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.
2012
108Linlin 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. 0.976
109Dailiang 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. 4.457
110Dailiang 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. 2.746
111Dailiang 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. 2.746
112Dailiang 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.
113Dailiang Peng, Liangyun Liu, Xiaohua Yang, Bin Zhou. 2012. Climatic driving forces in inter-annual variation of global FPAR. SPIE Remote Sensing 2012. 853121.
114Liu, Liangyun, Jiao, Quanjun, Dailiang Peng,. (2012, October). Exploring vegetation photosynthetic light-use efficiency using hyperspectral data. In SPIE Remote Sensing (pp. 85311C-85311C). International Society for Optics and Photonics.
115刘良云，关琳琳，彭代亮，胡勇，刘玲玲. 2012. C3、C4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.
2011
116Dailiang Peng, Alfredo R Huete, Jingfeng Huang, Fuming Wang, Huasheng Sun. Detection and estimation of mixed paddy rice cropping patterns with MODIS data. International Journal of Applied Earth Observation and Geoinformation. 2011, 13(1):13-23. 4.003
117Dailiang Peng, Liangyun Liu, Bing Zhang, Qian Shen. 2011. Comparisons of FPAR derived from GIMMS AVHRR NDVI and MODIS product. IEEE International Geoscience and Remote Sensing Symposium, Vancouver.
118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.
119Qian Shen, Bing Zhang, Junsheng Li, Yuanfeng Wu, Yanhong Wu, Hao Zhang, Dailiang Peng. 2011. Retrieval total suspended substance concentration of Three Gorges based on CHRIS/PROBA remote sensing images. IEEE International Geoscience and Remote Sensing Symposium, Vancouver. 1736-1739.
120Hao Zhang, Zhengchao Chen, Bing Zhang, Dailiang Peng. 2011. Comparison of two water vapor retrieval algorithms for HJ1A hyperspectral imagery. IEEE International Geoscience and Remote Sensing Symposium, Vancouver. 1732-1735.
121Liwei Li, Liping Lei, Gao Lianru, Dailiang Peng, Yanhong Wu, Jianwen Ma. 2011. Rapid detection of collapsed built-up structures using post-event VHR in earthquake areas. IEEE International Geoscience and Remote Sensing Symposium, Vancouver.
122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.
2010
123Dailiang 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. 1.815
124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: 156－161.
125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. EI
126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.
127彭代亮，江樟焰，Alfredo R. Huete. 2010. 基于光谱特征分析的花粉遥感识别初步研究. 第八届成像光谱技术与应用研讨会, 上海.
128彭代亮, 刘良云, 胡勇, & 刘玲玲. (2010). 基于 GIMMS NDVI 的亚欧大陆 FPAR 反演. 第十七届中国遥感大会摘要集.
129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.
2009
130Huasheng 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. 1.215
131Yan 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. 1.815
132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.
2008
133Dailiang 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. 3.129
134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， 27（3）：361-368.
135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.
2007
136Dailiang 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.
137Dailiang Peng, Jingfeng Huang, Chenxia Cai, Rui Deng. Junfeng Xu. 2007. Estimating NPP by remote sensing data with GIS in Xinjiang. Proceedings of the 4th international symposium on intelligent information technology in agriculture (ISIITA). 794-799.
138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.
139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.
140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.
（1）2022年地理信息科技进步二等奖（4）
（2）2019年地理信息科技进步一等奖（2）
（3）2016年中国科学院杰出科技成就奖（主要完成者）
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