[1] [1] FENG L, HOU X J, ZHENG Y. Monitoring and understanding the water transparency changes of fifty large lakes on the Yangtze Plain based on long-term MODIS observations[J].Remote Sensing of Environment, 2019, 221: 675-686. DOI: 10.1016/j.rse.2018.12.007

[5] [5] SONG C Q, FAN C Y, ZHU J Y,et al. A comprehensive geospatial database of nearly 100 000 reservoirs in China[J].Earth System Science Data, 2022, 14(9): 4017-4034. DOI: 10.5194/essd-14-4017-2022

[6] [6] TAO S L, FANG J Y, MA S H,et al. Changes in China's Lakes: Climate and human impacts[J]. National Science Review, 2020, 7(1): 132-140. DOI: 10.1093/nsr/nwz103

[9] [9] SCHWATKE C, DETTMERING D, SEITZ F. Volume variations of small inland water bodies from a combination of satellite altimetry and optical imagery[J]. Remote Sensing, 2020, 12(10): 1606. DOI: 10.3390/rs12101606

[10] [10] YAO F F, WANG J D, YANG K H,et al. Lake storage variation on the endorheic Tibetan Plateau and its attribution to climate change since the new millennium[J]. Environmental Research Letters, 2018, 13(6): 064011. DOI: 10.1088/1748-9326/aab5d3

[11] [11] LI X D, LING F, FOODY G M,et al. Monitoring high spatiotemporal water dynamics by fusing MODIS, Landsat, water occurrence data and DEM[J]. Remote Sensing of Environment, 2021, 265: 112680. DOI: 10.1016/j.rse.2021.112680

[12] [12] CHIPMAN J W. A multisensor approach to satellite monitoring of trends in lake area, water level, and volume[J]. Remote Sensing, 2019, 11(2): 158. DOI: 10.3390/rs11020158

[13] [13] JIANG L G, NIELSEN K, ANDERSEN O B,et al. Monitoring recent lake level variations on the Tibetan Plateau using CryoSat-2 SARIn mode data[J]. Journal of Hydrology, 2017, 544: 109-124. DOI: 10.1016/j.jhydrol.2016.11.024

[14] [14] XU N, MA Y, ZHANG W H,et al. Monitoring annual changes of lake water levels and volumes over 1984-2018 using Landsat imagery and ICESat-2 data[J]. Remote Sensing, 2020, 12(23): 4004. DOI: 10.3390/rs12234004

[15] [15] FRAPPART F, SEYLER F, MARTINEZ J M,et al. Floodplain water storage in the Negro River basin estimated from microwave remote sensing of inundation area and water levels[J].Remote Sensing of Environment, 2005, 99(4): 387-399. DOI: 10.1016/j.rse.2005.08.016

[16] [16] SMITH L C, PAVELSKY T M.Remote sensing of volumetric storage changes in lakes[J].Earth Surface Processes and Landforms, 2009, 34（10）: 1353-1358. DOI: 10.1002/esp.1822

[17] [17] YANG R M, ZHU L P, WANG J B,et al. Spatiotemporal variations in volume of closed lakes on the Tibetan Plateau and their climatic responses from 1976 to 2013[J].Climatic Change, 2017, 140（3）: 621-633. DOI: 10.1007/s10584-016-1877-9

[18] [18] CHEN T, SONG C Q, ZHAN P F,et al. Remote sensing estimation of the flood storage capacity of basin-scale lakes and reservoirs at high spatial and temporal resolutions[J]. Science of The Total Environment, 2022, 807: 150772. DOI: 10.1016/j.scitotenv.2021.150772

[21] [21] CARLSON R E. A trophic state index for lakes[J]. Limnology and Oceanography, 1977, 22（2）: 361-369. DOI: 10.4319/lo.1977.22.2.0361

[23] [23] ABELL J M, VAN DAM-BATES P, ZKUNDAKCI D,et al. Reference and current trophic level index of New Zealand Lakes: Benchmarks to inform lake management and assessment[J]. New Zealand Journal of Marine and Freshwater Research, 2020, 54(4): 636-657. DOI: 10.1080/00288330.2020.1726974

[29] [29] MESSAGER M L, LEHNER B, GRILL G,et al. Estimating the volume and age of water stored in global lakes using a geo-statistical approach[J]. Nature Communications, 2016, 7: 13603. DOI: 10.1038/ncomms13603

[30] [30] ZHANG Y, ZHANG G Q, ZHU T T. Seasonal cycles of lakes on the Tibetan Plateau detected by Sentinel-1 SAR data[J]. Science of The Total Environment, 2020, 703: 135563. DOI: 10.1016/j.scitotenv.2019.135563

[32] [32] WINGHAM D J, FRANCIS C R, BAKER S,et al. CryoSat: A mission to determine the fluctuations in Earth's land and marine ice fields[J]. Advances in Space Research, 2006, 37(4): 841-871. DOI: 10.1016/j.asr.2005.07.027

[33] [33] BOUZINAC C. "CryoSat Product Handbook"[S].ESA UCL.2019.

[34] [34] JIANG L G, SCHNEIDER R, ANDERSEN O,et al. CryoSat-2 altimetry applications over rivers and lakes[J]. Water, 2017, 9(3): 211. DOI: 10.3390/w9030211

[35] [35] SONG C Q, YE Q H, CHENG X. Shifts in water-level variation of Namco in the central Tibetan Plateau from ICESat and CryoSat-2 altimetry and station observations[J]. Science Bulletin, 2015, 60(14): 1287-1297. DOI: 10.1007/s11434-015-0826-8

[36] [36] KOO Y, XIE H J, KURTZ N T,et al. Weekly mapping of sea ice freeboard in the ross sea from ICESat-2[J]. Remote Sensing, 2021, 13(16): 3277. DOI: 10.3390/rs13163277

[37] [37] MARKUS T, NEUMANN T, MARTINO A,et al. The ice, cloud, and land elevation Satellite-2 (ICESat-2): Science requirements, concept, and implementation[J]. Remote Sensing of Environment, 2017, 190: 260-273. DOI: 10.1016/j.rse.2016.12.029

[38] [38] CRTAUX J F, ARSEN A, CALMANT S,et al. SOLS: A lake database to monitor in the Near Real Time water level and storage variations from remote sensing data[J]. Advances in Space Research, 2011, 47(9): 1497-1507. DOI: 10.1016/j.asr.2011.01.004

[39] [39] SCHWATKE C, DETTMERING D, BOSCH W,et al. DAHITI-an innovative approach for estimating water level time series over inland waters using multi-mission satellite altimetry[J]. Hydrology and Earth System Sciences, 2015, 19(10): 4345-4364. DOI: 10.5194/hess-19-4345-2015

[41] [41] CRTAUX J F, ABARCA-DEL-RO R, BERG-NGUYEN M,et al. Lake volume monitoring from space[C]//Remote Sensing and Water Resources. Cham: Springer International Publishing, 2016: 79-115. DOI: 10.1007/978-3-319-32449-4_5

[42] [42] CHEN J, ZHU J, LI C S,et al. A novel speckle filter for SAR images based on information-theoretic heterogeneity measurements[J]. Chinese Journal of Aeronautics, 2009, 22(5): 528-534. DOI: 10.1016/S1000-9361(08)60136-3

[43] [43] MARKERT K N, MARKERT A M, MAYER T,et al. Comparing Sentinel-1 surface water mapping algorithms and radiometric terrain correction processing in Southeast Asia utilizing Google Earth Engine[J]. Remote Sensing, 2020, 12(15): 2469. DOI: 10.3390/rs12152469

[44] [44] DONCHYTS G, SCHELLEKENS J, WINSEMIUS H,et al. A 30 m resolution surface water mask including estimation of positional and thematic differences using Landsat 8, SRTM and OpenStreetMap: A case study in the Murray-darling basin, Australia[J]. Remote Sensing, 2016, 8(5): 386. DOI: 10.3390/rs8050386