- 1.
Ai H P, Zhang K, Sun J C and Zhang H C. 2023. Short-term Lake Erie algal bloom prediction by classification and regression models. Water Research, 232: 119710
- 2.
Allan R P, Barlow M, Byrne M P, Cherchi A, Douville H, Fowler H J, Gan T Y, Pendergrass A G, Rosenfeld D, Swann A L S, Wilcox L J and Zolina O. 2020. Advances in understanding large‐scale responses of the water cycle to climate change. Annals of the New York Academy of Sciences, 1472: 49-75
- 3.
Balasubramanian S V, Pahlevan N, Smith B, Binding C, Schalles J, Loisel H, Gurlin D, Greb S, Alikas K, Randla M, Bunkei M, Moses W, Nguyễn H, Lehmann M K, O'Donnell D, Ondrusek M, Han T H, Fichot C G, Moore T and Boss E. 2020. Robust algorithm for estimating total suspended solids (TSS) in inland and nearshore coastal waters. Remote Sensing of Environment, 246: 111768
- 4.
Baracchini T, Chu P Y, Šukys J, Lieberherr G, Wunderle S, Wüest A and Bouffard D. 2020. Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4. Geoscientific Model Development, 13(3): 1267-1284
- 5.
Cao Z G, Ma R H, Duan H T, Pahlevan N, Melack J, Shen M and Xue K. 2020. A machine learning approach to estimate chlorophyll-a from Landsat-8 measurements in inland lakes. Remote Sensing of Environment, 248: 111974
- 6.
Cao Z G, Ma R H, Liu M, Duan H T, Xiao Q, Xue K and Shen M. 2022. Harmonized Chlorophyll-a retrievals in Inland Lakes from Landsat-8/9 and Sentinel 2A/B virtual constellation through machine learning. IEEE Transactions on Geoscience and Remote Sensing, 60: 4209916
- 7.
Cao Z G, Hu C M, Ma R H, Duan H T, Liu M, Loiselle S, Song K S, Shen M, Liu D and Xue K. 2023. MODIS observations reveal decrease in lake suspended particulate matter across China over the past two decades. Remote Sensing of Environment, 295: 113724
- 8.
Cao Z G, Wang M H, Ma R H, Zhang Y L, Duan H T, Jiang L D, Xue K, Xiong J F and Hu M Q. 2024. A decade-long chlorophyll-a data record in lakes across China from VIIRS observations. Remote Sensing of Environment, 301: 113953
- 9.
Cetinić I, Rousseaux C S, Carroll I T, Chase A P, Kramer S J, Werdell P J, Siegel D A, Dierssen H M, Catlett D, Neeley A, Soto Ramos I M, Wolny J L, Sadoff N, Urquhart E, Westberry T K, Stramski D, Pahlevan N, Seegers B N, Sirk E, Lange P K, Vandermeulen R A, Graff J R, Allen J G, Gaube P, McKinna L I W, McKibben S M, Binding C E, Calzado V S and Sayers M. 2024. Phytoplankton composition from sPACE: requirements, opportunities, and challenges. Remote Sensing of Environment, 302: 113964
- 10.
Chaudhary A, Agarwal N, Sharma R, Ojha S P and Kumar R. 2021. Nadir altimetry Vis-à-Vis swath altimetry: a study in the context of SWOT mission for the Bay of Bengal. Remote Sensing of Environment, 252: 112120
- 11.
Davidson T A, Sayer C D, Jeppesen E, Søndergaard M, Lauridsen T L, Johansson L S, Baker A and Graeber D. 2023. Bimodality and alternative equilibria do not help explain long-term patterns in shallow lake chlorophyll-a. Nature Communications, 14: 398
- 12.
Dong N P, Yang M X, Wei J H, Arnault J, Laux P, Xu S Q, Wang H, Yu Z B and Kunstmann H. 2023. Toward improved parameterizations of reservoir operation in ungauged basins: a synergistic framework coupling satellite remote sensing, hydrologic modeling, and conceptual operation schemes. Water Resources Research, 59(3): e2022WR033026
- 13.
Duan H T,Cao Z G,Shen M, Ma J G and Qi T C. 2022. Review of lake remote sensing research. National Remote Sensing Bulletin, 26(1): 3-18
- 14.
Duan H T, Xiao Q T, Qi T C, Hu C, Zhang M, Shen M, Hu Z H, Wang W, Xiao W, Qiu Y G, Luo J H and Lee X. 2023. Quantification of diffusive methane emissions from a large eutrophic lake with satellite imagery. Environmental Science and Technology, 57(36): 13520-13529
- 15.
Feng L, Dai Y H, Hou X J, Xu Y, Liu J G and Zheng C M. 2021. Concerns about phytoplankton bloom trends in global lakes. Nature, 590(7846): E35-E47
- 16.
Griffith A W and Gobler C J. 2020. Harmful algal blooms: a climate change co-stressor in marine and freshwater ecosystems. Harmful Algae, 91: 101590
- 17.
Guo H W, Tian S, Jeanne Huang J, Zhu X T, Wang B and Zhang Z J. 2022. Performance of deep learning in mapping water quality of Lake Simcoe with long-term Landsat archive. ISPRS Journal of Photogrammetry and Remote Sensing, 183: 451-469
- 18.
Gupta A, Hantush M M and Govindaraju R S. 2023. Sub-monthly time scale forecasting of harmful algal blooms intensity in Lake Erie using remote sensing and machine learning. Science of the Total Environment, 900: 165781
- 19.
Hanson B, Stall S, Cutcher-Gershenfeld J, Vrouwenvelder K, Wirz C, Rao Y and Peng G. 2023. Garbage in, garbage out: mitigating risks and maximizing benefits of AI in research. Nature, 623(7985): 28-31
- 20.
He J Y, Chen Y J, Wu J P, Stow D A and Christakos G. 2020. Space-time chlorophyll-a retrieval in optically complex waters that accounts for remote sensing and modeling uncertainties and improves remote estimation accuracy. Water Research, 171: 115403
- 21.
Hou X J, Feng L, Dai Y H, Hu C M, Gibson L, Tang J, Lee Z, Wang Y, Cai X B, Liu J G, Zheng Y and Zheng C M. 2022. Global mapping reveals increase in lacustrine algal blooms over the past decade. Nature Geoscience, 15(2): 130-134
- 22.
Huang L, Timmermann A, Lee S S, Rodgers K B, Yamaguchi R and Chung E S. 2022. Emerging unprecedented lake ice loss in climate change projections. Nature Communications, 13: 5798
- 23.
IOCCG. 2018. Earth observations in support of global water quality monitoring. In Greb S, Dekker A and Binding C, eds. Reports of the International Ocean-Colour Coordinating Group. Dartmouth: IOCCG [DOI: 10.25607/OBP-113]
- 24.
Ji P P, Chen J H, Chen R J, Liu J B, Yu C Q and Chen F H. 2024. Nitrogen and phosphorus trends in lake sediments of China may diverge. Nature Communications, 15: 2644
- 25.
Kuhn C and Butman D. 2021. Declining greenness in Arctic-boreal lakes. Proceedings of the National Academy of Sciences of the United States of America, 118(15): e2021219118
- 26.
Kyzivat E D and Smith L C. 2023. A closer look at the effects of lake area, aquatic vegetation, and double-counted wetlands on pan-arctic lake methane emissions estimates. Geophysical Research Letters, 50(24): e2023GL104825
- 27.
Li B, Yang G S and Wan R R. 2020. Multidecadal water quality deterioration in the largest freshwater lake in China (Poyang Lake): implications on eutrophication management. Environmental Pollution, 260: 114033
- 28.
Li X, Feng M, Ran Y H, Su Y, Liu F, Huang C L, Shen H F, Xiao Q, Su J B, Yuan S W and Guo H D. 2023. Big Data in Earth system science and progress towards a digital twin. Nature Reviews Earth and Environment, 4(5): 319-332
- 29.
Li X D, Long D, Huang Q and Zhao F Y. 2022a. The state and fate of lake ice thickness in the Northern Hemisphere. Science Bulletin, 67(5): 537-546
- 30.
Li Z X, Yang W, Matsushita B and Kondoh A. 2022b. Remote estimation of phytoplankton primary production in clear to turbid waters by integrating a semi-analytical model with a machine learning algorithm. Remote Sensing of Environment, 275: 113027
- 31.
Liu D, Shi K, Chen P, Yan N X, Ran L S, Kutser T, Tyler A N, Spyrakos E, Woolway R I, Zhang Y L and Duan H T. 2024. Substantial increase of organic carbon storage in Chinese lakes. Nature Communications, 15: 8049
- 32.
Ma J G, Loiselle S, Cao Z G, Qi T C, Shen M, Luo J H, Song K S and Duan H T. 2023. Unbalanced impacts of nature and nurture factors on the phenology, area and intensity of algal blooms in global large lakes: MODIS observations. Science of the Total Environment, 880: 163376
- 33.
Maberly S C, O’Donnell R A, Woolway R I, Cutler M E J, Gong M Y, Jones I D, Merchant C J, Miller C A, Politi E, Scott E M, Thackeray S J and Tyler A N. 2020. Global lake thermal regions shift under climate change. Nature Communications, 11: 1232
- 34.
Maciel D A, Barbosa C C F, de Moraes Novo E M L, Flores Júnior R and Begliomini F N. 2021. Water clarity in Brazilian water assessed using Sentinel-2 and machine learning methods. ISPRS Journal of Photogrammetry and Remote Sensing, 182: 134-152
- 35.
Maciel D A, Pahlevan N, Barbosa C C F, Martins V S, Smith B, O'Shea R E, Balasubramanian S V, Saranathan A M and Novo E M L M. 2023. Towards global long-term water transparency products from the Landsat archive. Remote Sensing of Environment, 299: 113889
- 36.
Mu M, Li Y M, Bi S, Lyu H, Xu J, Lei S H, Miao S, Zeng S, Zheng Z B and Du C G. 2021. Prediction of algal bloom occurrence based on the naive Bayesian model considering satellite image pixel differences. Ecological Indicators, 124: 107416
- 37.
O'Shea R E, Pahlevan N, Smith B, Bresciani M, Egerton T, Giardino C, Li L, Moore T, Ruiz-Verdu A, Ruberg S, Simis S G H, Stumpf R and Vaičiūtė D. 2021. Advancing cyanobacteria biomass estimation from hyperspectral observations: demonstrations with HICO and PRISMA imagery. Remote Sensing of Environment, 266: 112693
- 38.
Pahlevan N, Smith B, Schalles J, Binding C, Cao Z G, Ma R H, Alikas K, Kangro K, Gurlin D, Hà N, Matsushita B, Moses W, Greb S, Lehmann M K, Ondrusek M, Oppelt N and Stumpf R. 2020. Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: a machine-learning approach. Remote Sensing of Environment, 240: 111604
- 39.
Park S, Kim K, Shin C, Min J H, Na E H and Park L J. 2020. Variable update strategy to improve water quality forecast accuracy in multivariate data assimilation using the ensemble Kalman filter. Water Research, 176: 115711
- 40.
Qi L, Wang M H, Hu C M and Holt B. 2022. On the capacity of Sentinel-1 synthetic aperture radar in detecting floating macroalgae and other floating matters. Remote Sensing of Environment, 280: 113188
- 41.
Qi T C, Shen M, Kutser T, Xiao Q T, Cao Z G, Ma J G, Luo J H, Liu D and Duan H T. 2023. Remote sensing of dissolved CO2 concentrations in meso-eutrophic lakes using Sentinel-3 imagery. Remote Sensing of Environment, 286: 113431
- 42.
Qi T C, Xiao Q T, Cao Z G, Shen M, Ma J G, Liu D and Duan H T. 2020. Satellite estimation of dissolved carbon dioxide concentrations in China's Lake Taihu. Environmental Science and Technology, 54(21): 13709-13718
- 43.
Qin B Q, Deng J M, Shi K, Wang J, Brookes J, Zhou J, Zhang Y L, Zhu G W, Paerl H W and Wu L. 2021. Extreme climate anomalies enhancing cyanobacterial blooms in eutrophic Lake Taihu, China. Water Resources Research, 57(7): e2020WR029371
- 44.
Qiu Z Q, Liu D, Duan M W, Chen P P, Yang C, Li K Y and Duan H T. 2024. Four-decades of sediment transport variations in the Yellow River on the Loess Plateau using Landsat imagery. Remote Sensing of Environment, 306: 114147
- 45.
Radeloff V C, Roy D P, Wulder M A, Anderson M, Cook B, Crawford C J, Friedl M, Gao F, Gorelick N, Hansen M, Healey S, Hostert P, Hulley G, Huntington J L, Johnson D M, Neigh C, Lyapustin A, Lymburner L, Pahlevan N, Pekel J F, Scambos T A, Schaaf C, Strobl P, Woodcock C E, Zhang H K and Zhu Z. 2024. Need and vision for global medium-resolution Landsat and Sentinel-2 data products. Remote Sensing of Environment, 300: 113918
- 46.
Sagan V, Peterson K T, Maimaitijiang M, Sidike P, Sloan J, Greeling B A, Maalouf S and Adams C. 2020. Monitoring inland water quality using remote sensing: potential and limitations of spectral indices, bio-optical simulations, machine learning, and cloud computing. Earth-Science Reviews, 205: 103187
- 47.
Shang K, Yao Y J, Di Z H, Jia K, Zhang X T, Fisher J B, Chen J Q, Guo X Z, Yang J M, Yu R Y, Xie Z J, Liu L, Ning J and Zhang L L. 2023a. Coupling physical constraints with machine learning for satellite-derived evapotranspiration of the Tibetan Plateau. Remote Sensing of Environment, 289: 113519
- 48.
Shang Y X, Song K S, Lai F F, Lyu L, Liu G, Fang C, Hou J B, Qiang S N, Yu X F and Wen Z D. 2023b. Remote sensing of fluorescent humification levels and its potential environmental linkages in lakes across China. Water Research, 230: 119540
- 49.
Shen H F and Zhang L P. 2023. Mechanism-learning coupling paradigms for parameter inversion and simulation in earth surface systems. Science China Earth Sciences, 66(3): 568-582
- 50.
Shen M, Cao Z G, Xie L Q, Zhao Y Y, Qi T C, Song K S, Lyu L, Wang D, Ma J and Duan H T. 2023. Microcystins risk assessment in lakes from space: implications for SDG 6.1 evaluation. Water Research, 245: 120648
- 51.
Shen M, Duan H T, Cao Z G, Xue K, Qi T C, Ma J G, Liu D, Song K S, Huang C L and Song X Y. 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
- 52.
Singh N K, Van Meter K J and Basu N B. 2023. Widespread increases in soluble phosphorus concentrations in streams across the transboundary Great Lakes Basin. Nature Geoscience, 16(10): 893-900
- 53.
Tahsin S, Medeiros S C and Singh A. 2021. Consistent long-term monthly coastal wetland vegetation monitoring using a virtual satellite constellation. Remote Sensing, 13(3): 438
- 54.
Wang J W, Wang Y C, Lee Z, Wang D S, Chen S G and Lai W D. 2022a. A revision of NASA SeaDAS atmospheric correction algorithm over turbid waters with artificial Neural Networks estimated remote-sensing reflectance in the near-infrared. ISPRS Journal of Photogrammetry and Remote Sensing, 194: 235-249
- 55.
Wang W J, Shi K, Wang X W, Zhang Y L, Qin B Q, Zhang Y B and Woolway R I. 2024. The impact of extreme heat on lake warming in China. Nature Communications, 15: 70
- 56.
Wang W J, Shi K, Zhang Y B, Li N, Sun X, Zhang D, Zhang Y L, Qin B Q and Zhu G W. 2022b. A ground-based remote sensing system for high-frequency and real-time monitoring of phytoplankton blooms. Journal of Hazardous Materials, 439: 129623
- 57.
Wang X C, Feng L, Qi W, Cai X B, Zheng Y, Gibson L, Tang J, Song X P, Liu J G, Zheng C M and Bryan B A. 2022c. Continuous loss of global lake ice across two centuries revealed by satellite observations and numerical modeling. Geophysical Research Letters, 49(12): e2022GL099022
- 58.
Wang X W, Shi K, Zhang Y L, Qin B Q, Zhang Y B, Wang W J, Woolway R I, Piao S and Jeppesen E. 2023. Climate change drives rapid warming and increasing heatwaves of lakes. Science Bulletin, 68(14): 1574-1584
- 59.
Werther M, Odermatt D, Simis S G H, Gurlin D, Lehmann M K, Kutser T, Gupana R, Varley A, Hunter P D, Tyler A N and Spyrakos E. 2022. A Bayesian approach for remote sensing of chlorophyll-a and associated retrieval uncertainty in oligotrophic and mesotrophic lakes. Remote Sensing of Environment, 283: 113295
- 60.
Woolway R I, Jennings E, Shatwell T, Golub M, Pierson D C and Maberly S C. 2021a. Lake heatwaves under climate change. Nature, 589(7842): 402-407
- 61.
Woolway R I, Kraemer B M, Lenters J D, Merchant C J, O’Reilly C M and Sharma S. 2020. Global lake responses to climate change. Nature Reviews Earth and Environment, 1(8): 388-403
- 62.
Woolway R I, Sharma S and Smol J P. 2022. Lakes in hot water: the impacts of a changing climate on aquatic ecosystems. BioScience, 72(11): 1050-1061
- 63.
Woolway R I, Sharma S, Weyhenmeyer G A, Debolskiy A, Golub M, Mercado-Bettín D, Perroud M, Stepanenko V, Tan Z L, Grant L, Ladwig R, Mesman J, Moore T N, Shatwell T, Vanderkelen I, Austin J A, DeGasperi C L, Dokulil M, La Fuente S, Mackay E B, Schladow S G, Watanabe S, Marcé R, Pierson D C, Thiery W and Jennings E. 2021b. Phenological shifts in lake stratification under climate change. Nature Communications, 12: 2318
- 64.
Woolway R I, Tong Y, Feng L, Zhao G, Dinh D A, Shi H R, Zhang Y L and Shi K. 2024. Multivariate extremes in lakes. Nature Communications, 15: 4559
- 65.
Wulder M A, Hilker T, White J C, Coops N C, Masek J G, Pflugmacher D and Crevier Y. 2015. Virtual constellations for global terrestrial monitoring. Remote Sensing of Environment, 170: 62-76
- 66.
Wulder M A, Roy D P, Radeloff V C, Loveland T R, Anderson M C, Johnson D M, Healey S, Zhu Z, Scambos T A, Pahlevan N, Hansen M, Gorelick N, Crawford C J, Masek J G, Hermosilla T, White J C, Belward A S, Schaaf C, Woodcock C E, Huntington J L, Lymburner L, Hostert P, Gao F, Lyapustin A, Pekel J F, Strobl P and Cook B D. 2022. Fifty years of Landsat science and impacts. Remote Sensing of Environment, 280: 113195
- 67.
Xu F L, Zhang G Q, Woolway R I, Yang K, Wada Y, Wang J D and Crétaux J F. 2024. Widespread societal and ecological impacts from projected Tibetan Plateau lake expansion. Nature Geoscience, 17(6): 516-523
- 68.
Xue C Y, Zhang Q, Jia YX and Yuan S Y. 2023. Intensifying drought of Poyang Lake and potential recovery approaches in the dammed middle Yangtze River catchment. Journal of Hydrology: Regional Studies, 50: 101548
- 69.
Yao F F, Livneh B, Rajagopalan B, Wang J D, Crétaux J F, Wada Y and Berge-Nguyen M. 2023. Satellites reveal widespread decline in global lake water storage. Science, 380(6646): 743-749
- 70.
Zeng F X, Song C Q, Cao Z G, Xue K, Lu S L, Chen T and Liu K. 2023. Monitoring inland water via Sentinel satellite constellation: a review and perspective. ISPRS Journal of Photogrammetry and Remote Sensing, 204: 340-361
- 71.
Zhang D, Shi K, Wang W J, Wang X W, Zhang Y L, Qin B Q, Zhu M Y, Dong B L and Zhang Y B. 2024. An optical mechanism-based deep learning approach for deriving water trophic state of China's lakes from Landsat images. Water Research, 252: 121181
- 72.
Zhang G L, Gu X H, Zhao T, Zhang Y L and Xu L G. 2023. Ecological and environmental changes and protection measures of lakes in China. Bulletin of Chinese Academy of Sciences, 38(3): 358-364
- 73.
Zhang Y L, Deng J M, Qin B Q, Zhu G W, Zhang Y J, Jeppesen E and Tong Y D. 2022. Importance and vulnerability of lakes and reservoirs supporting drinking water in China. Fundamental Research, 3(2): 265-273
- 74.
Zhao H K, Zhou Y D, Wu H D, Kutser T, Han Y C, Ma R H, Yao Z W, Zhao H D, Xu P T, Jiang C C, Gu Q L, Ma S Z, Wu L Y, Chen Y, Sheng H Y, Wan X P, Chen W T, Chen X L, Bai J, Wu L, Liu Q, Sun W B, Yang S H, Hu M, Liu C and Liu D. 2023. Potential of Mie-Fluorescence-Raman lidar to profile chlorophyll a concentration in inland waters. Environmental Science and Technology, 57(38): 14226-14236
- 75.
Zhi W, Appling A P, Golden H E, Podgorski J and Li L. 2024. Deep learning for water quality. Nature Water, 2(3): 228-241
- 76.
Zhi W, Klingler C, Liu J T and Li L. 2023. Widespread deoxygenation in warming rivers. Nature Climate Change, 13(10): 1105-1113