[1] Liu, K., Fan, C., Song, C*., …, & Woolway, I. (2026). Global patterns of reservoir sedimentation and overlooked risks in small reservoirs. Nature Sustainability.
[2] Zeng F., Song C*.,Woolway R. I., Ke L., Wang J., Feng D., Allen G., Lin P., Liu K., Chen T., Zhan P., Fan C., Zhang H., Huang L., Pavelsky T. (2026). Human imprints on global riverfronts. Nature Communications.
[3] Song, C. *, Liu, K. *, Zhan, P., Fan, C., Yang, W., Zhu, L., Xue, B., Zhang, G., Zhao, G., Feng, L., Woolway, R.I., & Zhang, Y*. (2026). China’s freshwater lake storage hotspots revealed by bathymetry and typology mapping. National Science Review.
[4] Chen, T., Cooley, S. W., Madson, A., Ke, L., Wang, J., Zhang, Y., Xu, N., Liu, K., Zeng, F., Zhan, P., Fan, C., & Song C*. (2026). Satellites reveal contrasting patterns of global lakes and reservoirs in buffering seasonal water storage changes. Science Bulletin.
[5] Xu, P., Song, C*. (2026). Water salinity in global salt lakes: Monitoring technologies, spatiotemporal dynamics, and socio-environmental consequences. Earth-Science Reviews.
[6] Zhao, Y., Liu, D., Zhu, X., Luo, M., Huang, B., Song, C. *, & Duan, X*. (2026). RASSFM 2.0: An enhanced M2Msharpening model for PlanetScope–Sentinel-2 image fusion across broad landscapes with improved land cover classification. Remote Sensing of Environment, 338, 115371.
[7] Luo, S., Song, C.*, Zhan, P., Li, J., & Peng, L. (2026) A first look at the snow/ice penetration effect of SWOT observations on water level of global glacial lakes. Geophysical Research Letters.
[8] Zhan, P., Wang, J., Chen, T., Luo, S., Liu, K., Ke, L., Fan, C., Lin, Y., & Song, C*. (2026). Integrating SWOT with multi‐source satellite observations for near‐daily reservoir water level monitoring. Water Resources Research, 62(2), e2024WR039711.
[9] Huang, L., Fan, X., Huang, L., Gao, S., Song, C*. (2026). Divergent pattern and trends of water color in global river mouths revealed by decadal Landsat observations. Journal of Hydrology.
[10] Guo, H., Zhang, X., Song, C*. (2026). Synergizing SWOT and virtual-station hypsometry for extreme reservoir monitoring: Characterizing the 2025 Beijing's Miyun flood. Journal of Hydrology: Regional Studies.
[11] Li J., Fan, X., Liu, Q., Fan, C., Zhang, H., Fu, C., Wang, L., Liu, K. *, Song, C*. (2026). Characterizing the spatio-temporal dynamics of NTL-derived anthropogenic intensity around urban lakes in China. Remote Sensing Applications: Society and Environment.
[12] Xu, Y., Yang, Y., Liu, Q., & Song, C*. (2026). Advancing urban blue space monitoring and management: A review of remote sensing applications and interdisciplinary impact assessment. Ecological Indicators.
[13] Fan, C., Ke, L., Wang, J., Best, J., Zhang, Y., Sheng, Y., Liu, K., Chen, T., Zeng, F., Zhan, P., Zhu, J., Cheng, J., & Song, C*. (2025). Exacerbating dam-induced fragmentation in China’s river systems. Communications Earth & Environment, 6(1): 1-13.
[14] Ke, L., Ding, X., Deng, X., Zhou, J., Wang, R., & Song, C*. (2025). A novel Multiple Persistent Peaks (MPP) retracker to improve global inland water level monitoring from satellite radar altimetry. Remote Sensing of Environment, 324, 114744.
[15] Zhan, P., Jiang, L., Liu, K., Chen, T., Fan, C., Zeng, F., & Song, C*. (2025). Unveiling the floodplain river-lake hydrological interactions by SWOT observations. Geophysical Research Letters, 52, e2025GL118459.
[16] Lin, Y., & Song, C*. (2025). Monitoring surface water in floodplains by satellites: Progress, challenges, and perspectives. Journal of Hydrology. 664, 134458.
[17] Xu, P., Liu, K., Lin, Y., Fu, X., Fan, C., & Song, C*. (2025). Estimating volumetric water salinity in a Tibetan endorheic lake using machine learning and remote sensing. Geo-spatial Information Science.
[18] Wang, X., Song, C.*, Yang, T.*, Gu, H., Liu, G., & Zhan, P. (2025). How well do the CMIP6 climate models capture terrestrial water storage variations in data-scarce basins originating from the high mountains of Asia? Journal of Hydrology, 661, 133677.
[19] Zeng, F., Liu, K., Zhao, Y., Xu, P., Deng, X., Chen, T., & Song, C*. (2025). Characteristics of the water extent and width of endorheic Tibetan Plateau rivers revealed by Sentinel-2. Journal of Hydrology, 658, 133191.
[20] Zeng, F., Liu, S., Liu, K., Chen, T., & Song, C*. (2025). Divergent hydrologic regimes of mega-rivers originated from High Mountain Asia uncovered by satellite virtual station-densified water levels. Journal of Hydrology, 658, 133214.
[21] Lin, Y., Fan, C., Liu, K., Liu, L., Deng, X., Xu, P. ... & Song, C*. (2025). Characterizing the capability of public DEMs for mapping global floodplain bathymetry. Journal of Hydrology, 658, 133205.
[22] Song, C.*, Fan, C., Ma, J., Zhan, P., & Deng, X. (2025). A spatially constrained remote sensing-based inventory of glacial lakes worldwide. Scientific Data, 12(1), 464.
[23] Deng, X., Ke, L., Jiang, L., Nielsen, K., Fan, X., Wang, J., & Song, C*. (2025). A review of altimetry waveform retracking for inland water levels. Geodesy and Geodynamics.
[24] Fan, C., Song, C. *, Wang, J., Sheng, Y., Lin, Y., Yuan, C., Sikder, S., Cretaux, J., Liu, K., Chen, T., Zeng, F., Ke, L. (2024) Emerging global reservoirs in the new millennium: abundance, hotspots, and total water storage. Science Bulletin, 69(14), 2179-2182.
[25] Liu, K., Song, C. *, Zhao, S., Wang, J., Chen, T., Zhan, P., Fan, C., Zhu, J. (2024) Mapping inundated bathymetry for estimating lake water storage changes from SRTM DEM: a global investigation and implications for the Surface Water and Ocean Topography mission. Remote Sensing of Environment, 301, 113960.
[26] Liu, K., Zhang, D., Chen, T., Cui, P., Fan, C., Song, C *. (2024) Monitoring Surface Water Change in Northeast China in 1999–2020: Evidence from Satellite Observation and Refined Classification. Chinese Geographical Science, 34(1): 106-117.
[27] Ke, L., Ding, X., Liao, Y., Song, C *. (2024) Annual trajectory of global glacial lake variations and interactions with glacier mass balance during 2013-2022. Catena, 245, 108280.
[28] Tong, J., Lin, Y., Fan, C., Liu, K., Chen, T., Zeng, F., Zhan, P., Ke. L., Gao, Y. *, Song, C*. (2024). Fine-scale monitoring of lake ice phenology by synthesizing remote sensed and climatologic features based on high-resolution satellite constellation and modeling. Science of the Total Environment: 169002.
[29] Li, L., Ning, Y., Cao, Z., Xue, K., Song, C *. (2024) A national-scale assessment on the spatial and temporal variations in water color for urban lakes in China. Science of The Total Environment, 173951.
[30] Yuan, C., Zhan, P., Fan, C., Chen, T., Zeng, F., Liu, K., Ke, L., Song, C *. (2024) National estimation of regulated water storage of reservoirs in China. Journal of Hydrology, 645, 132296.
[31] Yuan, C., Liu, C., Fan, C., Liu, K., Chen, T., Zeng, F., Zhan, P., Song, C *. (2024) Estimation of water storage capacity of Chinese reservoirs by statistical and machine learning models. Journal of Hydrology, 630, 130674.
[32] Feng, Y., Song, C.* (2024). Assessing the impacts of ice penetration on monitoring water levels of high-latitude and -altitude lakes from CryoSat-2 altimetry. Journal of Hydrology, 634, 131147.
[33] Xu, P., Shi, L., Liu, K., Song, C *. (2024) Machine learning modeling reveals the spatial variations of lake water salinity on the endorheic Tibetan Plateau. Journal of Hydrology: Regional Studies, 56, 102042.
[34] Wu, Q., Ke, L., … & Song, C*. (2023). Satellites reveal hotspots of global river extent change. Nature Communications, 14(1), 1587.
[35] Song, L., Song, C.*, Luo, S., Chen, T., Liu, K., Zhang, Y., & Ke, L. (2023). Integrating ICESat-2 altimetry and machine learning to estimate the seasonal water level and storage variations of national-scale lakes in China. Remote Sensing of Environment, 294, 113657.
[36] Zeng, F., Song, C. *, Cao, Z., Xue, K., Lu, S., Chen, T., & Liu, K. (2023). Monitoring inland water via Sentinel satellite constellation: A review and perspective. ISPRS Journal of Photogrammetry and Remote Sensing, 204, 340-361.
[37] Zhan, P., Song, C. *, Liu, K., Chen, T., Ke, L., Luo, S., & Fan, C. (2023). Can we estimate the lake mean depth and volume from the deepest record and auxiliary geospatial parameters?. Journal of Hydrology, 617, 128958.
[38] Feng, Y., Yang, L., Zhan, P., Luo, S., Chen, T., Liu, K., & Song, C*. (2023). Synthesis of the ICESat/ICESat-2 and CryoSat-2 observations to reconstruct time series of lake level. International Journal of Digital Earth, 16(1), 183-209.
[39] Chen, T., Song, C. *, Zhan, P., & Fan, C. (2023). Densifying and Optimizing the Water Level Series for Large Lakes from Multi-Orbit ICESat-2 Observations. Remote Sensing, 15(3), 780.
[40] Liang, X., Song, C. *, Liu, K., Chen, T., & Fan, C. (2023). Reconstructing Centennial-Scale Water Level of Large Pan-Arctic Lakes Using Machine Learning Methods. Journal of Earth Science, 34(4), 1218-1230.
[41] Cui, P., Chen, T., Li, Y., Liu, K., Zhang, D., Song, C. *. (2023). Comparison and Assessment of Different Land Cover Datasets on the Cropland in Northeast China. Remote Sensing. 2023, 15, 5134.
[42] Luo, S., Song, C. *. (2023). Uncertainties on the combined use of ICESat and ICESat-2 observations to monitor lake levels. Frontiers in Water, 5, 1279444.
[43] Ke, L., Song, C. *, Wang, J., Sheng, Y., Ding, X., Yong, B., ... & Luo, S. (2022). Constraining the contribution of glacier mass balance to the Tibetan lake growth in the early 21st century. Remote Sensing of Environment, 268, 112779.
[44] Song, C.*, Fan, C. *, Zhu, J. *, Wang, J., Sheng, Y., Liu, K., ... & Ke, L. (2022). A comprehensive geospatial database of nearly 100 000 reservoirs in China. Earth System Science Data, 14(9), 4017-4034.
[45] Song, C. *, Jiang, X. *, Fan, C., & Li, L. (2022). High-resolution circa-2020 map of urban lakes in China. Scientific Data, 9(1), 1-14.
[46] Song, C. *, Luo, S., Liu, K. *, Chen, T., Zhang, P., & Fan, C. (2022). Widespread declines in water salinity of the endorheic Tibetan Plateau lakes. Environmental Research Communications, 4(9), 091002.
[47] Luo, S., Song, C. *, Ke, L., Zhan, P., Fan, C., Liu, K., ... & Zhu, J. (2022). Satellite laser altimetry reveals a net water mass gain in global lakes with spatial heterogeneity in the early 21st century. Geophysical Research Letters, 49(3), e2021GL096676.
[48] Zhan, P., Song, C. *, Luo, S., Ke, L., Liu, K., & Chen, T. (2022). Investigating different timescales of terrestrial water storage changes in the northeastern Tibetan Plateau. Journal of Hydrology, 608, 127608.
[49] Jiang, X., Fan, C., Liu, K., Chen, T., Cao, Z., & Song, C*. (2022). Centenary covariations of water salinity and storage of the largest lake of Northwest China reconstructed by machine learning. Journal of Hydrology, 612, 128095.
[50] Liu, K., & Song, C*. (2022). Modeling lake bathymetry and water storage from DEM data constrained by limited underwater surveys. Journal of Hydrology, 604, 127260.
[51] Chen, T., Song, C. *, Luo, S., Ke, L., Liu, K., & Zhu, J. (2022). Monitoring global reservoirs using ICESat-2: Assessment on spatial coverage and application potential. Journal of Hydrology, 604, 127257.
[52] Chen, T., Song, C. *, Zhan, P., Yao, J., Li, Y., & Zhu, J. (2022). Remote sensing estimation of the flood storage capacity of basin-scale lakes and reservoirs at high spatial and temporal resolutions. Science of The Total Environment, 807, 150772.
[53] Cheng, J., Song, C. *, Liu, K., Fan, C., Ke, L., Chen, T., ... & Yao, J. (2022). Satellite and UAV-based remote sensing for assessing the flooding risk from Tibetan lake expansion and optimizing the village relocation site. Science of The Total Environment, 802, 149928.
[54] Chen, T., Song, C. *, Fan, C., Cheng, J., Duan, X., Wang, L., ... & Che, Y. (2022). A comprehensive data set of physical and human-dimensional attributes for China’s lake basins. Scientific Data, 9(1), 1-15.
[55] Fan, C., Liu, K. *, Luo, S., Chen, T., Cheng, J., Zhan, P., & Song, C*. (2022). Detection of surface water temperature variations of Mongolian lakes benefiting from the spatially and temporally gap-filled MODIS data. International Journal of Applied Earth Observation and Geoinformation, 114, 103073.
[56] Chen, T., Song, C. *, Zhan, P., & Ma, J. (2022). How Many Pan-Arctic Lakes Are Observed by ICESat-2 in Space and Time?. Remote Sensing, 14(23), 5971.
[57] Ke, L., Xu, J., Fan, C., Liu, K., Chen, T., Wang, S., ... & Song, C*. (2022). Remote sensing reconstruction of long-term water level and storage variations of a poorly-gauged river in the Tibetan Plateau. Journal of Hydrology: Regional Studies, 40, 101020.
[58] Song, L., Song, C. *, Zhan, P., Chen, T., Liu, K., & Jing, H. (2022). Seasonal amplitude of water storage variations of the Yangtze-Huai Plain lake group: Implication for floodwater storage capacity. Frontiers in Environmental Science, 33.
[59] Chen, T., Song, C. *, Fan, C., Gao, X., Liu, K., Li, Z., ... & Zhan, P. (2022). Remote sensing modeling of environmental influences on lake fish resources by machine learning: A practice in the largest freshwater lake of China. Frontiers in Environmental Science, 1233.
[60] Liu, K., Song, C. *, Zhan, P., Luo, S., & Fan, C. (2022). A low-cost approach for lake volume estimation on the Tibetan Plateau: Coupling the lake hypsometric curve and bottom elevation. Frontiers in Earth Science, 10, 925944.
[61] Fan, C., Song, C. *, Liu, K., Ke, L., Xue, B., Chen, T., ... & Cheng, J. (2021). Century-scale reconstruction of water storage changes of the largest lake in the inner Mongolia Plateau using a machine learning approach. Water Resources Research, 57(2), e2020WR028831.
[62] Fan, C., Song, C. *, Li, W., Liu, K., Cheng, J., Fu, C., ... & Wang, J. (2021). What drives the rapid water-level recovery of the largest lake (Qinghai Lake) of China over the past half century?. Journal of Hydrology, 593, 125921.
[63] Chen, T., Song, C. *, Ke, L., Wang, J., Liu, K., & Wu, Q. (2021). Estimating seasonal water budgets in global lakes by using multi-source remote sensing measurements. Journal of Hydrology, 593, 125781.
[64] Liu, K.#, Ke, L.#, Wang, J., Jiang, L., Richards, K. S., Sheng, Y., ... & Song, C*. (2021). Ongoing drainage reorganization driven by rapid lake growths on the Tibetan Plateau. Geophysical Research Letters, 48(24), e2021GL095795.
[65] Luo, S., Song, C. *, Zhan, P., Liu, K., Chen, T., Li, W., & Ke, L. (2021). Refined estimation of lake water level and storage changes on the Tibetan Plateau from ICESat/ICESat-2. Catena, 200, 105177.
[66] Song, L., Song, C. *, Luo, S., Chen, T., Liu, K., Li, Y., ... & Xu, J. (2021). Refining and densifying the water inundation area and storage estimates of Poyang Lake by integrating Sentinel-1/2 and bathymetry data. International Journal of Applied Earth Observation and Geoinformation, 105, 102601.
[67] Cheng, J., Song, C. *, Liu, K., Ke, L., Chen, T., & Fan, C. (2021). Regional assessment of the potential risks of rapid lake expansion impacting on the Tibetan human living environment. Environmental Earth Sciences, 80(4), 1-14.
[68] Zhan, P., Song, C. *, Luo, S., Liu, K., Ke, L., & Chen, T. (2021). Lake level reconstructed from DEM-based virtual station: Comparison of multisource DEMs with laser altimetry and UAV-LiDAR measurements. IEEE Geoscience and Remote Sensing Letters, 19, 1-5.
[69] Zhu, J., Song, C. *, Ke, L., Liu, K., & Chen, T. (2021). Remote sensing investigation of the offset effect between reservoir impoundment and glacier meltwater supply in Tibetan highland catchment. Water, 13(9), 1307.
[70] Ma, J., Song, C. *, & Wang, Y. (2021). Spatially and temporally resolved monitoring of glacial lake changes in Alps during the recent two decades. Frontiers in Earth Science, 760.
[71] Song, C. *, Sheng, Y., Zhan, S., Wang, J., Ke, L., & Liu, K. (2020). Impact of amplified evaporation due to lake expansion on the water budget across the inner Tibetan Plateau. International Journal of Climatology, 40(4), 2091-2105.
[72] Zhu, J., Song, C. *, Wang, J., & Ke, L. (2020). China’s inland water dynamics: The significance of water body types. Proceedings of the National Academy of Sciences, 117(25), 13876-13878.
[73] Ke, L., Song, C. *, Yong, B., Lei, Y., & Ding, X. (2020). Which heterogeneous glacier melting patterns can be robustly observed from space? A multi-scale assessment in southeastern Tibetan Plateau. Remote Sensing of Environment, 242, 111777.
[74] Deng, X., Song, C. *, Liu, K., Ke, L., Zhang, W., Ma, R., ... & Wu, Q. (2020). Remote sensing estimation of catchment-scale reservoir water impoundment in the upper Yellow River and implications for river discharge alteration. Journal of Hydrology, 585, 124791.
[75] Liu, K., Song, C. *, Wang, J., Ke, L., Zhu, Y., Zhu, J., ... & Luo, Z. (2020). Remote sensing‐based modeling of the bathymetry and water storage for channel‐type reservoirs worldwide. Water Resources Research, 56(11), e2020WR027147.
[76] Liu, K., Song, C. *, Ke, L., Jiang, L., & Ma, R. (2020). Automatic watershed delineation in the Tibetan endorheic basin: A lake-oriented approach based on digital elevation models. Geomorphology, 358, 107127.
[77] Wu, Q., Song, C. *, Liu, K., & Ke, L. (2020). Integration of TanDEM-X and SRTM DEMs and spectral imagery to improve the large-scale detection of opencast mining areas. Remote Sensing, 12(9), 1451.
[78] Zhan, P., Song, C. *, Wang, J., Li, W., Ke, L., Liu, K., & Chen, T. (2020). Recent abnormal hydrologic behavior of Tibetan lakes observed by multi-mission altimeters. Remote Sensing, 12(18), 2986.
[79] Zhan, S., Song, C. *, Wang, J., Sheng, Y., & Quan, J. (2019). A global assessment of terrestrial evapotranspiration increase due to surface water area change. Earth's Future, 7(3), 266-282.
[80] Liu, K., Song, C. *, Ke, L., Jiang, L., Pan, Y., & Ma, R. (2019). Global open-access DEM performances in Earth's most rugged region High Mountain Asia: A multi-level assessment. Geomorphology, 338, 16-26.
[81] Luo, S., Song, C. *, Liu, K., Ke, L., & Ma, R. (2019). An effective low-cost remote sensing approach to reconstruct the long-term and dense time series of area and storage variations for large lakes. Sensors, 19(19), 4247.
[82] Song, C. *, Ke, L., Pan, H., Zhan, S., Liu, K., & Ma, R. (2018). Long-term surface water changes and driving cause in Xiong’an, China: From dense Landsat time series images and synthetic analysis. Science Bulletin, 63(11), 708-716.
[83] Wang, J. #*, Song, C.#, Reager, J. T., Yao, F., Famiglietti, J. S., Sheng, Y., ... & Wada, Y. (2018). Recent global decline in endorheic basin water storages. Nature Geoscience, 11(12), 926-932.
[84] Zhang, W., Pan, H., Song, C. *, Ke, L., Wang, J., Ma, R., ... & Wu, Q. (2018). Identifying emerging reservoirs along regulated rivers using multi-source remote sensing observations. Remote Sensing, 11(1), 25.
[85] Song, C. *, Sheng, Y., Wang, J., Ke, L., Madson, A., & Nie, Y. (2017). Heterogeneous glacial lake changes and links of lake expansions to the rapid thinning of adjacent glacier termini in the Himalayas. Geomorphology, 280, 30-38.
[86] Song, C. *, Sheng, Y. *, Ke, L., Nie, Y., & Wang, J. (2016). Glacial lake evolution in the southeastern Tibetan Plateau and the cause of rapid expansion of proglacial lakes linked to glacial-hydrogeomorphic processes. Journal of Hydrology, 540, 504-514.
[87] Song, C., & Sheng, Y*. (2016). Contrasting evolution patterns between glacier-fed and non-glacier-fed lakes in the Tanggula Mountains and climate cause analysis. Climatic Change, 135(3), 493-507.
[88] Song, C. *, Huang, B. *, Ke, L., & Ye, Q. (2016). Precipitation variability in High Mountain Asia from multiple datasets and implication for water balance analysis in large lake basins. Global and Planetary Change, 145, 20-29.
[89] Song, C. *, Ke, L., Richards, K. S., & Cui, Y. (2016). Homogenization of surface temperature data in High Mountain Asia through comparison of reanalysis data and station observations. International Journal of Climatology, 36(3), 1088-1101.
[90] Song, C., Ye, Q. *, & Cheng, X. (2015). Shifts in water-level variation of Namco in the central Tibetan Plateau from ICESat and CryoSat-2 altimetry and station observations. Science Bulletin, 60(14), 1287-1297.
[91] Song, C. *, Ke, L. *, Huang, B., & Richards, K. S. (2015). Can mountain glacier melting explains the GRACE-observed mass loss in the southeast Tibetan Plateau: From a climate perspective?. Global and Planetary Change, 124, 1-9.
[92] Song, C. *, Huang, B. *, & Ke, L. (2015). Heterogeneous change patterns of water level for inland lakes in High Mountain Asia derived from multi‐mission satellite altimetry. Hydrological Processes, 29(12), 2769-2781.
[93] Song, C. *, Ye, Q. *, Sheng, Y., & Gong, T. (2015). Combined ICESat and CryoSat-2 altimetry for accessing water level dynamics of Tibetan lakes over 2003–2014. Water, 7(9), 4685-4700.
[94] Song, C., Huang, B. *, Ke, L., & Richards, K. S. (2014). Remote sensing of alpine lake water environment changes on the Tibetan Plateau and surroundings: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 92, 26-37.
[95] Ke, L., & Song, C*. (2014). Remotely sensed surface temperature variation of an inland saline lake over the central Qinghai–Tibet Plateau. ISPRS Journal of Photogrammetry and Remote Sensing, 98, 157-167.
[96] Song, C., Huang, B. *, Richards, K., Ke, L., & Hien Phan, V. (2014). Accelerated lake expansion on the Tibetan Plateau in the 2000s: Induced by glacial melting or other processes?. Water Resources Research, 50(4), 3170-3186.
[97] Song, C. *, Huang, B. *, Ke, L., & Richards, K. S. (2014). Seasonal and abrupt changes in the water level of closed lakes on the Tibetan Plateau and implications for climate impacts. Journal of Hydrology, 514, 131-144.
[98] Song, C., Huang, B. *, & Ke, L. (2014). Inter‐annual changes of alpine inland lake water storage on the Tibetan Plateau: Detection and analysis by integrating satellite altimetry and optical imagery. Hydrological Processes, 28(4), 2411-2418.
[99] Song, C., & Ke, L*. (2014). Recent dramatic variations of China’s two largest freshwater lakes: Natural process or influenced by the Three Gorges Dam?. Environmental Science & Technology, 48(3), 2086-2087.
[100] Song, C., Huang, B. *, & Ke, L. (2013). Modeling and analysis of lake water storage changes on the Tibetan Plateau using multi-mission satellite data. Remote Sensing of Environment, 135, 25-35.
[101] 高世昌, 刘昌华, 曾繁轩, 宋春桥*. (2026). 国家级新区城市蓝色空间格局与变化高分辨率遥感监测研究. 遥感学报, 30(3):558-574.
[102] 黄柳红, 范晓梅, 詹鹏飞, & 宋春桥*. (2026). 2013—2024年南海沿岸河口遥感水色时空变化特征. 地球信息科学学报, 28 (03) : 691-705.
[103] 廖一彪, 丁鑫, 项思语, 陈健, 曾繁轩, & 宋春桥*. (2025). 基于Sentinel-1卫星遥感的长江中游饮用水源地水库水域范围及面积变化（2018-2021年）：突变检测与原因探讨. 湖泊科学, 37(4): 1430-1446.
[104] 刘沭岍, 刘凯, 曾繁轩, & 宋春桥*. (2024). 河流水文遥感及其在青藏高原应用研究进展. 遥感学报, 28 (10), 2427-2447.
[105] 童洁, 高永年, 詹鹏飞, & 宋春桥*. (2023). 湖冰遥感研究进展. 遥感学报, 28 (03): 541-557.
[106] 宋利娟, 景海涛, 徐嘉慧, 陈探, 张大鹏, & 宋春桥*. (2023). 联合哨兵卫星系列雷达与光学影像的洞庭湖水域面积变化高时空分辨率监测. 遥感学报, 27(11), 2516-2529.
[107] 李林森, 王涵, 刘凯, 宁一航, 陈思, & 宋春桥*. (2023). 我国城市湖泊空间分布格局特征分析及影响因素探讨. 湖泊科学, 1-16.
[108] 梁新歌, 王涵, 赵爽, & 宋春桥*. (2023). 21世纪以来泛北极湖泊水位变化时空特征及原因探讨. 湖泊科学, 35(6), 2111-2122.
[109] 徐嘉慧, 王世东, 宋利娟, 张大鹏, & 宋春桥*. (2022). 雅鲁藏布江干流河宽时空变化遥感监测及水文气象响应. 地理学报, 77(11), 2862-2877.
[110] 张闻松, & 宋春桥*. (2022). 中国湖泊分布与变化: 全国尺度遥感监测研究进展与新编目. 遥感学报. 26(01), 92-103.
[111] 程俭, 刘昌华, 刘凯, 武建双, 范晨雨, 薛滨, ... & 宋春桥*. (2021). 2004 年以来青海湖快速扩张对人居设施与草地的潜在影响. 湖泊科学, 33(3), 922-934.
[112] 宋春桥*, 詹鹏飞, & 马荣华. (2020). 湖泊水情遥感研究进展. 湖泊科学, 32(5), 1406-1420.
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主编论著：
《中国原真地理特征区划与形成机制》，2025，科学出版社，主编.
《Remote Sensing of Lake Hydrology in the Tibetan Plateau: Pattern,Drivers and Impacts》，2024，Science Press出版社，主编.
《Comprehensive Geographic Information Systems》，2017，Elsevier出版集团，共同主编.
