50 citations as recorded by crossref.

1. Modeling of Aquatic Ecosystem Dynamics in a Run‐of‐River Reservoir in the Brazil M. Salla et al. https://doi.org/10.1002/clen.202200286
2. Deriving inherent optical properties from classical water color measurements: Forel-Ule index and Secchi disk depth S. Wang et al. https://doi.org/10.1364/OE.27.007642
3. Water clarity changes in Lake Taihu over 36 years based on Landsat TM and OLI observations Z. Yin et al. https://doi.org/10.1016/j.jag.2021.102457
4. An inexpensive method for the measurement of photosynthetically active radiation profiles in waterbodies F. Scordo et al. https://doi.org/10.1007/s00027-024-01082-x
5. Water clarity in Brazilian water assessed using Sentinel-2 and machine learning methods D. Maciel et al. https://doi.org/10.1016/j.isprsjprs.2021.10.009
6. Deteriorating water clarity in shallow waters: Evidence from long term MODIS and in-situ observations K. Shi et al. https://doi.org/10.1016/j.jag.2017.12.015
7. Secchi disk observation with spectral-selective glasses in blue and green waters Z. Lee et al. https://doi.org/10.1364/OE.25.019878
8. Modeling spatio-temporal variability of suspended matter and its relation with hydrodynamic parameters in the northern Bay of Bengal M. Masud-Ul-Alam et al. https://doi.org/10.1007/s40808-020-01053-9
9. Resolving the long‐standing puzzles about the observed Secchi depth relationships Z. Lee et al. https://doi.org/10.1002/lno.10940
10. Key factors influencing sensory quality of scenic waters and its improvement by constructed wetlands Z. Liu et al. https://doi.org/10.1016/j.chemosphere.2023.138764
11. Assessing the suitability of lakes and reservoirs for recreation using Landsat 8 D. Keith et al. https://doi.org/10.1007/s10661-023-11830-5
12. A typical lake in the semi-arid area of northern China—The remote sensing retrieved of the transparency of the Lake Daihai (2013-2020) D. Ruixiang et al. https://doi.org/10.18307/2021.0410
13. The Effect of Optical Properties on Secchi Depth and Implications for Eutrophication Management E. Harvey et al. https://doi.org/10.3389/fmars.2018.00496
14. MODIS-Based Mapping of Secchi Disk Depth Using a Qualitative Algorithm in the Shallow Arabian Gulf M. Al Kaabi et al. https://doi.org/10.3390/rs8050423
15. Steady increase in water clarity in Jiaozhou Bay in the Yellow Sea from 2000 to 2018: Observations from MODIS Z. Yin et al. https://doi.org/10.1007/s00343-020-0124-4
16. How does lake water clarity affect lake thermal processes? Q. Zhang & X. Ma https://doi.org/10.1016/j.heliyon.2022.e10359
17. Retrieval and Spatio-Temporal Variations Analysis of Yangtze River Water Clarity from 2017 to 2020 Based on Sentinel-2 Images Y. Zhao et al. https://doi.org/10.3390/rs13122260
18. An Evaluation of Sun-Glint Correction Methods for UAV-Derived Secchi Depth Estimations in Inland Water Bodies E. Tiškus et al. https://doi.org/10.3390/drones7090546
19. Evaluation of the Suspended Particulate Matter Content in the Coastal Zone of the Northeastern Black Sea Based on Relative Transparency B. Konovalov https://doi.org/10.1134/S0001437023010058
20. Patterns of the relationship between the Secchi disk depth and the optical characteristics of water in the Neva Estuary (Baltic Sea): the influence of environmental variables M. Golubkov & S. Golubkov https://doi.org/10.3389/fmars.2024.1265382
21. Capturing coastal water clarity variability with Landsat 8 K. Luis et al. https://doi.org/10.1016/j.marpolbul.2019.04.078
22. Transmitting Characteristics of Light in İzmir Bay Seawater (Turkiye, Eastern Aegean Sea) C. Eronat https://doi.org/10.1007/s41208-023-00551-8
23. Evaluación del coeficiente de atenuación y la transparencia del mar utilizando imágenes del satélite Sentinel-2B en la bahía El Ferrol, Chimbote, Perú L. Escudero et al. https://doi.org/10.53554/boletin.v40i2.436
24. Improved retrieval of Secchi depth for optically-complex waters using remote sensing data K. Alikas & S. Kratzer https://doi.org/10.1016/j.ecolind.2017.02.007
25. The increasing water clarity of Tibetan lakes over last 20 years according to MODIS data C. Liu et al. https://doi.org/10.1016/j.rse.2020.112199
26. Satellite observations of water transparency from VIIRS in global aquatic ecosystems J. Wei et al. https://doi.org/10.1016/j.rse.2025.114981
27. Coupling artificial intelligence with a mechanistic model for estimating Secchi depth J. Chen et al. https://doi.org/10.1007/s13131-025-2528-7
28. A simple and effective method for removing residual reflected skylight in above-water remote sensing reflectance measurements D. Jiang et al. https://doi.org/10.1016/j.isprsjprs.2020.05.003
29. Polar Tourism as an Effective Research Tool: Citizen Science in the Western Antarctic Peninsula A. Cusick et al. https://doi.org/10.5670/oceanog.2020.101
30. Remote Sensing of Secchi Depth in Highly Turbid Lake Waters and Its Application with MERIS Data X. Liu et al. https://doi.org/10.3390/rs11192226
31. An underwater horizontal visibility estimation method integrating visual threshold modeling and data augmentation D. Jiang et al. https://doi.org/10.1016/j.measurement.2025.120025
32. Distribution of mesopredatory fish determined by habitat variables in a predator-depleted coastal system L. Bergström et al. https://doi.org/10.1007/s00227-016-2977-9
33. Spatial Distribution of Diffuse Attenuation of Photosynthetic Active Radiation and Its Main Regulating Factors in Inland Waters of Northeast China J. Ma et al. https://doi.org/10.3390/rs8110964
34. An algorithm for measuring Secchi disk water transparency based on machine vision L. Gan et al. https://doi.org/10.1016/j.measurement.2024.114581
35. Long-term satellite records of water clarity suggest increasing human activity influence in an inland lake J. Wang et al. https://doi.org/10.1080/17538947.2025.2506491
36. Secchi disk depth: A new theory and mechanistic model for underwater visibility Z. Lee et al. https://doi.org/10.1016/j.rse.2015.08.002
37. Evaluation of Suspended Matter Content in the Coastal Zone of the Northeastern Part of the Black Sea by Relative Transparency B. Konovalov https://doi.org/10.31857/S0030157423010057
38. Estimation of upward radiances and reflectances at the surface of the sea from above-surface measurements Ø. Kleiv et al. https://doi.org/10.5194/os-11-779-2015
39. Remote sensing of transparency in the China seas from the ESA-OC-CCI data J. Guo et al. https://doi.org/10.1016/j.ecss.2021.107693
40. DISCO: A low‐cost device‐instrumented Secchi disk for water clarity observations G. Donini & S. Piccolroaz https://doi.org/10.1002/lom3.10684
41. Retrieval of Secchi disk depth from a reservoir using a semi-analytical scheme T. Rodrigues et al. https://doi.org/10.1016/j.rse.2017.06.018
42. Landsat observations reveal increasing trend in lake clarity on the Qinghai-Tibetan Plateau: Insights into the lake optical response to climate change S. Wang et al. https://doi.org/10.1016/j.rse.2026.115424
43. Two-decade dynamics of MODIS-derived Secchi depth in Peninsula Malaysia waters M. Idris et al. https://doi.org/10.1016/j.jmarsys.2022.103799
44. Using a semi-analytical model to retrieve Secchi depth in coastal and estuarine waters X. Liu et al. https://doi.org/10.1007/s13131-020-1620-2
45. Monitoring multi-temporal and spatial variations of water transparency in the Jiaozhou Bay using GOCI data Y. Zhou et al. https://doi.org/10.1016/j.marpolbul.2022.113815
46. Towards global long-term water transparency products from the Landsat archive D. Maciel et al. https://doi.org/10.1016/j.rse.2023.113889
47. Water Quality Measurement and Modelling Based on Deep Learning Techniques: Case Study for the Parameter of Secchi Disk F. Lin et al. https://doi.org/10.3390/s22145399
48. A semi-analytical scheme to estimate Secchi-disk depth from Landsat-8 measurements Z. Lee et al. https://doi.org/10.1016/j.rse.2016.02.033
49. Secchi Disk Depth or Turbidity, Which Is Better for Assessing Environmental Quality in Eutrophic Waters? A Case Study in a Shallow Hypereutrophic Reservoir M. Golubkov & S. Golubkov https://doi.org/10.3390/w16010018
50. Long-term coastal monitoring data show nutrient-driven reduction in chlorophyll E. Lundsør et al. https://doi.org/10.1016/j.seares.2020.101925