62 citations as recorded by crossref.

1. Retrieve of total suspended matter in typical lakes in China based on broad bandwidth satellite data: Random forest model with Forel-Ule Index M. Zhai et al. 10.3389/fenvs.2023.1132346
2. Recognition of Water Colour Anomaly by Using Hue Angle and Sentinel 2 Image Y. Zhao et al. 10.3390/rs12040716
3. The Forel-Ule scale revisited spectrally: preparation protocol, transmission measurements and chromaticity S. Novoa et al. 10.2971/jeos.2013.13057
4. WACODI: A generic algorithm to derive the intrinsic color of natural waters from digital images S. Novoa et al. 10.1002/lom3.10059
5. Red tide detection based on high spatial resolution broad band optical satellite data R. Liu et al. 10.1016/j.isprsjprs.2021.12.009
6. A dataset of remote-sensed Forel-Ule Index for global inland waters during 2000–2018 S. Wang et al. 10.1038/s41597-021-00807-z
7. Biases in ocean color over a Secchi disk J. Pitarch 10.1364/OE.25.0A1124
8. Modelling Water Colour Characteristics in an Optically Complex Nearshore Environment in the Baltic Sea; Quantitative Interpretation of the Forel-Ule Scale and Algorithms for the Remote Estimation of Seawater Composition S. Woźniak & J. Meler 10.3390/rs12172852
9. Research on the Characteristic Spectral Band Determination for Water Quality Parameters Retrieval Based on Satellite Hyperspectral Data X. Xia et al. 10.3390/rs15235578
10. Optical classification of an urbanized estuary using hyperspectral remote sensing reflectance K. Turner et al. 10.1364/OE.472765
11. Spatiotemporal Variability of the Lake Tana Water Quality Derived from the MODIS-Based Forel–Ule Index: The Roles of Hydrometeorological and Surface Processes N. Abegaz et al. 10.3390/atmos14020289
12. Monitoring and classification of high Arctic lakes in the Svalbard Islands using remote sensing J. Urbański 10.1016/j.jag.2022.102911
13. The Potential of Hue Angle Calculated Based on Multispectral Reflectance for Leaf Chlorophyll Content Estimation Q. Jiao et al. 10.1109/TGRS.2023.3322130
14. Monitoring Optical Variability in Complex Inland Waters Using Satellite Remote Sensing Data Y. Du et al. 10.3390/rs14081910
15. Remote sensing observations of ocean colour using the traditional Forel-Ule scale M. Jafar-Sidik et al. 10.1016/j.ecss.2018.10.002
16. Comparison of PBIA and GEOBIA classification methods in classifying turbidity in reservoirs D. Facco et al. 10.1080/10106049.2021.1899302
17. Empirical Formulas for Estimating Backscattering and Absorption Coefficients in Complex Waters from Remote-Sensing Reflectance Spectra and Examples of Their Application S. Woźniak et al. 10.3390/s19184043
18. Three-Dimensional Variation in Light Quality in the Upper Water Column Revealed With a Single Parameter Z. Lee et al. 10.1109/TGRS.2021.3093014
19. Classifying Natural Waters with the Forel-Ule Colour Index System: Results, Applications, Correlations and Crowdsourcing S. Garaba et al. 10.3390/ijerph121215044
20. Optical properties of Forel-Ule water types deduced from 15 years of global satellite ocean color observations J. Pitarch et al. 10.1016/j.rse.2019.111249
21. Using Optical Water Types to Monitor Changes in Optically Complex Inland and Coastal Waters K. Uudeberg et al. 10.3390/rs11192297
22. A Simple Cloud-Native Spectral Transformation Method to Disentangle Optically Shallow and Deep Waters in Sentinel-2 Images C. Lee et al. 10.3390/rs14030590
23. Water quality monitoring of large reservoirs in China based on water color change from 1999 to 2021 Y. Lai et al. 10.1016/j.jhydrol.2024.130988
24. Observing the Ocean Submesoscale with Enhanced-Color GOES-ABI Visible Band Data J. Jolliff et al. 10.3390/s19183900
25. Review of the Forel–Ule Index based on in situ and remote sensing methods and application in water quality assessment M. Ye & Y. Sun 10.1007/s11356-021-18083-0
26. Biophysical Submesoscale Processes in the Wake of Hurricane Ivan: Simulations and Satellite Observations . Smith et al. 10.3390/jmse7110378
27. Utilizing Eutrophication Assessment Directives From Transitional to Marine Systems in the Thames Estuary and Liverpool Bay, UK N. Greenwood et al. 10.3389/fmars.2019.00116
28. An Optical Classification Tool for Global Lake Waters M. Eleveld et al. 10.3390/rs9050420
29. Assessments of trophic state in lakes and reservoirs of Wuhan using Sentinel-2 satellite data Y. Zhou et al. 10.1080/22797254.2021.1960201
30. Spectral Classification of the Yellow Sea and Implications for Coastal Ocean Color Remote Sensing H. Ye et al. 10.3390/rs8040321
31. Trophic state assessment of global inland waters using a MODIS-derived Forel-Ule index S. Wang et al. 10.1016/j.rse.2018.08.026
32. Estimation of Reservoir Bio-Optical Water Quality Parameters Using Smartphone Sensor Apps and Landsat ETM+: Review and Comparative Experimental Results Y. Ouma et al. 10.1155/2018/3490757
33. Coastal Ocean Darkening Effects via Terrigenous DOM Addition on Plankton: An Indoor Mesocosm Experiment N. Mustaffa et al. 10.3389/fmars.2020.547829
34. An Evaluation of Citizen Science Smartphone Apps for Inland Water Quality Assessment T. Malthus et al. 10.3390/rs12101578
35. An Assessment of Water Color for Inland Water in China Using a Landsat 8-Derived Forel–Ule Index and the Google Earth Engine Platform X. Chen et al. 10.1109/JSTARS.2021.3085411
36. True Colour Classification of Natural Waters with Medium-Spectral Resolution Satellites: SeaWiFS, MODIS, MERIS and OLCI H. Woerd & M. Wernand 10.3390/s151025663
37. A discussion on the estimation of apparent colour of water with the Forel-Ule index for medium-width sections of rivers with high hydrodynamic activity A. Falcão et al. 10.1016/j.rsase.2023.101075
38. An improved Forel–Ule index method for trophic state assessments of inland waters using Landsat 8 and sentinel archives Y. Zhou et al. 10.1080/15481603.2021.1987003
39. Using Optical Water-Type Classification in Data-Poor Water Quality Assessment: A Case Study in the Torres Strait C. Petus et al. 10.3390/rs14092212
40. A Printable Device for Measuring Clarity and Colour in Lake and Nearshore Waters R. Brewin et al. 10.3390/s19040936
41. On the Potential Optical Signature of Convective Turbulence over the West Florida Shelf J. Jolliff et al. 10.3390/rs13040619
42. Effect of Reduced Anthropogenic Activities on Water Quality in Lake Vembanad, India G. Kulk et al. 10.3390/rs13091631
43. Spatiotemporal Dynamics of Remote-Sensed Forel–Ule Index for Inland Waters Across China During the COVID-19 Pandemic L. Xu et al. 10.1109/JSTARS.2023.3298108
44. Knowledge-guided mixture density network for chlorophyll-a retrieval and associated pixel-by-pixel uncertainty assessment in optically variable inland waters Y. Liu et al. 10.1016/j.scitotenv.2024.170843
45. Evaluating historic and modern optical techniques for monitoring phytoplankton biomass in the Atlantic Ocean R. Brewin et al. 10.3389/fmars.2023.1111416
46. 150 shades of green: Using the full spectrum of remote sensing reflectance to elucidate color shifts in the ocean R. Vandermeulen et al. 10.1016/j.rse.2020.111900
47. Can Forel–Ule Index Act as a Proxy of Water Quality in Temperate Waters? Application of Plume Mapping in Liverpool Bay, UK L. Fronkova et al. 10.3390/rs14102375
48. An Improved Eutrophication Assessment Algorithm of Estuaries and Coastal Waters in Liaodong Bay M. Li et al. 10.3390/rs13193867
49. A new method for accurate inversion of Forel-Ule index using MODIS images - revealing the water color evolution in China's large lakes and reservoirs over the past two decades K. Xia et al. 10.1016/j.watres.2024.121560
50. Citizens and satellites: Assessment of phytoplankton dynamics in a NW Mediterranean aquaculture zone J. Busch et al. 10.1016/j.jag.2015.11.017
51. Forel-Ule index extraction and spatiotemporal variation from MODIS imagery in the Bohai Sea of China L. Wang et al. 10.1364/OE.487312
52. MODIS observations of water color of the largest 10 lakes in China between 2000 and 2012 J. Li et al. 10.1080/17538947.2016.1139637
53. An evaluation of apparent color of seawater based on the in-situ and satellite-derived Forel-Ule color scale Y. Nie et al. 10.1016/j.ecss.2020.107032
54. Global maps of Forel–Ule index, hue angle and Secchi disk depth derived from 21 years of monthly ESA Ocean Colour Climate Change Initiative data J. Pitarch et al. 10.5194/essd-13-481-2021
55. Evaluation of trophic state for inland waters through combining Forel-Ule Index and inherent optical properties Y. Liu et al. 10.1016/j.scitotenv.2022.153316
56. Accuracy and Reproducibility of Above-Water Radiometry With Calibrated Smartphone Cameras Using RAW Data O. Burggraaff et al. 10.3389/frsen.2022.940096
57. Variations of Remote-Sensed Forel-Ule Index in the Bohai and Yellow Seas during 1997–2019 B. Zhang et al. 10.3390/rs15143487
58. Remote sensing assessment of trophic status based on chromaticity angle in Lake Daihai W. Fang et al. 10.18307/2022.0409
59. A flood of information: Using Sentinel-3 water colour products to assure continuity in the monitoring of water quality trends in the Great Barrier Reef (Australia) C. Petus et al. 10.1016/j.jenvman.2019.07.026
60. MODIS-Based Radiometric Color Extraction and Classification of Inland Water With the Forel-Ule Scale: A Case Study of Lake Taihu S. Wang et al. 10.1109/JSTARS.2014.2360564
61. Recognition of Water Colour Anomaly by Using Hue Angle and Sentinel 2 Image Y. Zhao et al. 10.3390/rs12040716
62. Deriving inherent optical properties from classical water color measurements: Forel-Ule index and Secchi disk depth S. Wang et al. 10.1364/OE.27.007642