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(1) 段洪涛*，曹志刚，沈明，马金戈，齐天赐.2022. 湖泊遥感研究进展与展望. 遥感学报，26(1): 1-15
(2) 邱银国，段洪涛*，万能胜，高芮，黄佳聪，薛坤，彭兆亮，肖鹏峰. 2022. 巢湖蓝藻水华监测预警与模拟分析平台设计与实践. 湖泊科学，34(1): 38-48
(3) 段洪涛*，万能胜，邱银国，刘刚，陈青，罗菊花，陈远，齐天赐. 2020. 富营养化湖库天-空-地一体化监控平台系统设计与实践. 湖泊科学，32(5): 1396-1405
(4) 段洪涛*，罗菊花，曹志刚，薛坤，肖启涛，刘东. 2019. 流域水环境遥感研究进展与思考. 地理科学进展，38(8): 1182-1195
(5) Xiao, Q., Duan, H.*, Qin, B., Hu, Z., Zhang, M., Qi, T., & Lee, X. 2022. Eutrophication and temperature drive large variability in carbon dioxide from China's Lake Taihu. Limnology and Oceanography, 67, 379–391
(6) Tao, H., Song, K.*, Liu, G., Wang, Q., Wen, Z., Jacinthe, P.-A., Xu, X., Du, J., Shang, Y., Li, S., Wang, Z., Lyu, L., Hou, J., Wang, X., Liu, D., Shi, K., Zhang, B., & Duan, H.* 2022. A Landsat-derived annual inland water clarity dataset of China between 1984 and 2018. Earth System Science Data, 14, 79-94
(7) Xiao, Q., Liu, Z., Hu, Z., Wang, W., Zhang, M., Xiao, W., & Duan, H.* 2021. Notable changes of carbon dioxide in a eutrophic lake caused by water diversion. Journal of Hydrology, 603, 127064
(8) Liu, D., Yu, S., Xiao, Q., Qi, T., & Duan, H.* 2021. Satellite estimation of dissolved organic carbon in eutrophic Lake Taihu, China. Remote Sensing of Environment, 264, 112572
(9) Liu, D., Du, Y., Yu, S., Luo, J., & Duan, H.* 2020. Human activities determine quantity and composition of dissolved organic matter in lakes along the Yangtze River. Water Research, 168, 115132
(10) Liu, D., Duan, H.*, Loiselle, S., Hu, C., Zhang, G., Li, J., Yang, H., Thompson, J.R., Cao, Z., Shen, M., Ma, R., Zhang, M., & Han, W. 2020. Observations of water transparency in China’s lakes from space. International Journal of Applied Earth Observation and Geoinformation, 92, 102187
(11) Luo, J., Pu, R., Duan, H.*, Ma, R., Mao, Z., Zeng, Y., Huang, L., & Xiao, Q. 2020. Evaluating the influences of harvesting activity and eutrophication on loss of aquatic vegetations in Taihu Lake, China. International Journal of Applied Earth Observation and Geoinformation, 87, 102038
(12) Shen, M., Duan, H.*, Cao, Z., Xue, K., Qi, T., Ma, J., Liu, D., Song, K., Huang, C., & Song, X. 2020. Sentinel-3 OLCI observations of water clarity in large lakes in eastern China: Implications for SDG 6.3.2 evaluation. Remote Sensing of Environment, 247, 111950
(13) Qi, T., Xiao, Q., Cao, Z., Shen, M., Ma, J., Liu, D., & Duan, H.* 2020. Satellite Estimation of Dissolved Carbon Dioxide Concentrations in China’s Lake Taihu. Environmental Science & Technology, 54, 13709-13718
(14) Xiao, Q., Xu, X., Duan, H.*, Qi, T., Qin, B., Lee, X., Hu, Z., Wang, W., Xiao, W., & Zhang, M. 2020. Eutrophic Lake Taihu as a significant CO2 source during 2000–2015. Water Research, 170, 115331
(15) Xiao, Q., Xu, X., Zhang, M., Duan, H.*, Hu, Z., Wang, W., Xiao, W., & Lee, X.* 2019. Coregulation of nitrous oxide emissions by nitrogen and temperature in China's third largest freshwater lake (Lake Taihu). Limnology and Oceanography, 64, 1070-1086
(16) Duan, H.*, Cao, Z., Shen, M., Liu, D., Xiao, Q. 2019. Detection of illicit sand mining and the associated environmental effects in China's fourth largest freshwater lake using daytime and nighttime satellite images. Science of the Total Environment, 2019, 647:606-618
(17) Duan, H., Tao, M., Loiselle, S.A., Zhao, W., Cao, Z., Ma, R., & Tang, X. 2017. MODIS observations of cyanobacterial risks in a eutrophic lake: Implications for long-term safety evaluation in drinking-water source. Water Research, 122, 455-470
(18) Cao, Z., Duan, H.*, Feng, L., Ma, R., & Xue, K. 2017. Climate- and human-induced changes in suspended particulate matter over Lake Hongze on short and long timescales. Remote Sensing of Environment, 192, 98-113
(19) Duan, H., Feng, L., Ma, R., Zhang, Y., & Loiselle, S.A. 2014. Variability of particulate organic carbon in inland waters observed from MODIS Aqua imagery. Environmental Research Letters, 9, 084011
(20) Duan, H., R. Ma, C. Hu. 2012. Remote sensing algorithms of cyanobacteria pigments during spring bloom formation in several lakes of East China. Remote Sensing of Environment, 126, 126-135.
(21) Duan, H., R. Ma, Y. Zhang, Steven Arthur Loiselle, J. Xu, C. Zhao, L. Zhou, L. Shang. 2010. A new three-band algorithm for estimating chlorophyll-concentrations in turbid inland lakes. Environmental Research Letters, 5, 044009.
(22) Duan, H., R. Ma, X. Xu, F. Kong, S. Zhang, W. Kong, J. Hao, L. Shang. 2009. Two-decade reconstruction of algal blooms in China’s Lake Taihu. Environmental Science & Technology, 43 (10): 3522–3528.
(23) Cao, Z., Ma, R., Duan, H., Pahlevan, N., Melack, J., Shen, M., & Xue, K. 2020. A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes. Remote Sensing of Environment, 248, 111974
(24) Hou, X., Feng, L., Duan, H., Chen, X., Sun, D., & Shi, K. 2017. Fifteen-year monitoring of the turbidity dynamics in large lakes and reservoirs in the middle and lower basin of the Yangtze River, China. Remote Sensing of Environment, 190, 107-121
(25) Jiang, G., Loiselle, S.A., Yang, D., Gao, C., Ma, R., Su, W., & Duan, H. 2019. An absorption-specific approach to examining dynamics of particulate organic carbon from VIIRS observations in inland and coastal waters. Remote Sensing of Environment, 224, 29-43
(26) Kwon, Y.S., Pyo, J., Kwon, Y.-H., Duan, H., Cho, K.H., & Park, Y. 2020. Drone-based hyperspectral remote sensing of cyanobacteria using vertical cumulative pigment concentration in a deep reservoir. Remote Sensing of Environment, 236, 111517
(27) Pyo, J., Duan, H., Baek, S., Kim, M.S., Jeon, T., Kwon, Y.S., Lee, H., & Cho, K.H. 2019. A convolutional neural network regression for quantifying cyanobacteria using hyperspectral imagery. Remote Sensing of Environment, 233, 111350
(28) Qi, L., Hu, C., Duan, H., Cannizzaro, J., & Ma, R. 2014. A novel MERIS algorithm to derive cyanobacterial phycocyanin pigment concentrations in a eutrophic lake: Theoretical basis and practical considerations. Remote Sensing of Environment, 154, 298-317
(29) Song, K., Li, L., Tedesco, L., Li, S., Duan, H., Liu, D., Hall, B., Du, J., Li, Z., & Shi, K. 2013. Remote estimation of chlorophyll-a in turbid inland waters: Three-band model versus GA-PLS model. Remote Sensing of Environment, 136, 342-357
(30) Xue, K., Ma, R., Duan, H., Shen, M., Boss, E., & Cao, Z. 2019. Inversion of inherent optical properties in optically complex waters using sentinel-3A/OLCI images: A case study using China's three largest freshwater lakes. Remote Sensing of Environment, 225, 328-346
英文论文清单：
https://publons.com/researcher/1175123/hongtao-duan/
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