75. Amir, M.; Paul, D.; Malik, J.N. Geochemistry of Holocene sediments from Chilika Lagoon, India: Inferences on the sources of organic matter and variability of the Indian summer monsoon. *Quat. Int.* **2021**, *599-600*, 148–157. [CrossRef]

76. Nazneen, S.; Madhav, S.; Priya, A.; Singh, P. Coastal Ecosystems of India and Their Conservation and Management Policies: A Review. In *Coastal Ecosystems: Environmental Importance, Current Challenges and Conservation Measures*; Springer International Publishing: Cham, Switzerland, 2022; pp. 1–21. [CrossRef]

77. Dash, C.; Prakash Dhal, S.; Pati, P.; Agnihotri, R.; Farooqui, A.; Bae Seong, Y. Climate-induced denudation of the Eastern Ghat during the Holocene: A multi-proxy study from Chilika Lagoon (India). *CATENA* **2023**, *221*, 106754. [CrossRef]

78. Mohapatra, A.; Mohanty, S.; Mishra, S. Chapter 13—Fish and Shellfish Fauna of Chilika Lagoon: An Updated Checklist. In *Marine Faunal Diversity in India*; Venkataraman, K., Sivaperuman, C., Eds.; Academic Press: San Diego, CA, USA, 2015; pp. 195–224. [CrossRef]

79. Sarkar, S.K.; Bhattacharya, A.; Bhattacharya, A.K.; Satpathy, K.K.; Mohanty, A.K.; Panigrahi, S. Chilika Lake. In *Encyclopedia of Lakes and Reservoirs*; Springer: Dordrecht, The Netherlands, 2012; pp. 148–156. [CrossRef]

80. Balachandran, S.; Pattnaik, A.K.; Gangaiamaran, P.; Katti, T. Avifauna of Chilika, Odisha: Assessment of Spatial and Temporal Changes. In *Ecology, Conservation, and Restoration of Chilika Lagoon, India*; Springer International Publishing: Cham, Switzerland, 2020; pp. 335–363. [CrossRef]

81. Dash, C.; Shankar, R.; Pati, P.; Jose, J.; Seong, Y.B.; Dhal, S.P.; Manjunatha, B.R.; Sandeep, K. An environmental magnetic record of Holocene climatic variability from the Chilika Lagoon, Southern Mahanadi Delta, east coast of India. *J. Asian Earth Sci.* **2022**, *230*, 105190. [CrossRef]

82. Sethy, M.K.; Senapati, A.K. Perceptions towards ecotourism practice and the willingness to pay: Evidence from Chilika coastal wetland ecosystem, Odisha. *Int. J. Geoheritage Park.* **2023**, *11*, 497–513. [CrossRef]

83. Bhuvanagiri, S.P.; Pichika, S.; Akkur, R.; Chaganti, K.; Madhusoodhanan, R.; Pusapati, S.V. Chapter 9—Integrated Approach for Modeling Coastal Lagoons: A Case for Chilka Lake, India. In *Integrated Population Biology and Modeling, Part A*; Handbook of Statistics; Srinivasa Rao, A.S., Rao, C., Eds.; Elsevier: Amsterdam, The Netherlands, 2018; Volume 39, pp. 343–402. [CrossRef]

84. Lemenkova, P.; Debeir, O. Time Series Analysis of Landsat Images for Monitoring Flooded Areas in the Inner Niger Delta, Mali. *Artif. Satell.* **2023**, *58*, 278–313. [CrossRef]

85. Wessel, P.; Luis, J.F.; Uieda, L.; Scharroo, R.; Wobbe, F.; Smith, W.H.F.; Tian, D. The Generic Mapping Tools Version 6. *Geochem. Geophys. Geosystems* **2019**, *20*, 5556–5564. [CrossRef]

86. Lemenkova, P. Mapping Climate Parameters over the Territory of Botswana Using GMT and Gridded Surface Data from TerraClimate. *Isprs Int. J. -Geo-Inf.* **2022**, *11*, 473. [CrossRef]

87. Lemenkova, P. Handling Dataset with Geophysical and Geological Variables on the Bolivian Andes by the GMT Scripts. *Data* **2022**, *7*, 74. [CrossRef]

88. Lemenkova, P. Console-Based Mapping of Mongolia Using GMT Cartographic Scripting Toolset for Processing TerraClimate Data. *Geosciences* **2022**, *12*, 1–36. [CrossRef]

89. Ho, T.K. The random subspace method for constructing decision forests. *IEEE Trans. Pattern Anal. Mach. Intell.* **1998**, *20*, 832–844. [CrossRef]

90. Cohen, J. A Coefficient of Agreement for Nominal Scales. *Educ. Psychol. Meas.* **1960**, *20*, 37–46. [CrossRef]

91. Yu, T.; Ren, B.; Li, M. Regard to assessing agreement between two raters with kappa statistics. *Int. J. Cardiol.* **2024**, *403*, 131896. [CrossRef] [PubMed]

92. Li, M.; Gao, Q.; Yu, T. Using appropriate Kappa statistic in evaluating inter-rater reliability. Short communication on "Groundwater vulnerability and contamination risk mapping of semi-arid Totko river basin, India using GIS-based DRASTIC model and AHP techniques". *Chemosphere* **2023**, *328*, 138565. [CrossRef] [PubMed]

93. Bonhomme, V.; Castets, M.; Morel, J.; Gaucherel, C. Introducing the vectorial Kappa: An index to quantify congruence between vectorial mosaics. *Ecol. Indic.* **2015**, *57*, 96–99. [CrossRef]

94. Sim, J.; Wright, C.C. The Kappa Statistic in Reliability Studies: Use, Interpretation, and Sample Size Requirements. *Phys. Ther.* **2005**, *85*, 257–268. [CrossRef] [PubMed]

95. Hand, D.; Christen, P. A note on using the F-measure for evaluating record linkage algorithms. *Stat. Comput.* **2018**, *28*, 539–547. [CrossRef]

96. Sitarz, M. Extending F1 Metric, Probabilistic Approach. *arXiv* **2022**, arXiv:2210.11997.

97. Taha, A.A.; Hanbury, A. Metrics for evaluating 3D medical image segmentation: Analysis, selection, and tool. *BMC Med. Imaging* **2015**, *15*, 29. [CrossRef]

98. Huang, W.; Yan, H.; Liu, R.; Zhu, L.; Zhang, H.; Chen, H. F-score feature selection based Bayesian reconstruction of visual image from human brain activity. *Neurocomputing* **2018**, *316*, 202–209. [CrossRef]

99. Song, Q.; Cui, Z.; Liu, P. An Efficient Solution for Semantic Segmentation of Three Ground-based Cloud Datasets. *Earth Space Sci.* **2020**, *7*, e2019EA001040. [CrossRef]

100. Li, H.; Zhang, S.; Zhao, Y.; He, J.; Chen, X. Identification of raffinose family oligosaccharides in processed *Rehmannia glutinosa* Libosch using matrix-assisted laser desorption/ionization mass spectrometry image combined with machine learning. *Rapid Commun. Mass Spectrom.* **2023**, *37*, e9635. [CrossRef]
75. Amir, M.; Paul, D.; Malik, J.N. Geochemistry of Holocene sediments from Chilika Lagoon, India: Inferences on the sources of organic matter and variability of the Indian summer monsoon. *Quat. Int.* **2021**, *599-600*, 148–157. [CrossRef]

76. Nazneen, S.; Madhav, S.; Priya, A.; Singh, P. Coastal Ecosystems of India and Their Conservation and Management Policies: A Review. In *Coastal Ecosystems: Environmental Importance, Current Challenges and Conservation Measures*; Springer International Publishing: Cham, Switzerland, 2022; pp. 1–21. [CrossRef]

77. Dash, C.; Prakash Dhal, S.; Pati, P.; Agnihotri, R.; Farooqui, A.; Bae Seong, Y. Climate-induced denudation of the Eastern Ghat during the Holocene: A multi-proxy study from Chilika Lagoon (India). *CATENA* **2023**, *221*, 106754. [CrossRef]

78. Mohapatra, A.; Mohanty, S.; Mishra, S. Chapter 13—Fish and Shellfish Fauna of Chilika Lagoon: An Updated Checklist. In *Marine Faunal Diversity in India*; Venkataraman, K., Sivaperuman, C., Eds.; Academic Press: San Diego, CA, USA, 2015; pp. 195–224. [CrossRef]

79. Sarkar, S.K.; Bhattacharya, A.; Bhattacharya, A.K.; Satpathy, K.K.; Mohanty, A.K.; Panigrahi, S. Chilika Lake. In *Encyclopedia of Lakes and Reservoirs*; Springer: Dordrecht, The Netherlands, 2012; pp. 148–156. [CrossRef]

80. Balachandran, S.; Pattnaik, A.K.; Gangaiamaran, P.; Katti, T. Avifauna of Chilika, Odisha: Assessment of Spatial and Temporal Changes. In *Ecology, Conservation, and Restoration of Chilika Lagoon, India*; Springer International Publishing: Cham, Switzerland, 2020; pp. 335–363. [CrossRef]

81. Dash, C.; Shankar, R.; Pati, P.; Jose, J.; Seong, Y.B.; Dhal, S.P.; Manjunatha, B.R.; Sandeep, K. An environmental magnetic record of Holocene climatic variability from the Chilika Lagoon, Southern Mahanadi Delta, east coast of India. *J. Asian Earth Sci.* **2022**, *230*, 105190. [CrossRef]

82. Sethy, M.K.; Senapati, A.K. Perceptions towards ecotourism practice and the willingness to pay: Evidence from Chilika coastal wetland ecosystem, Odisha. *Int. J. Geoheritage Park.* **2023**, *11*, 497–513. [CrossRef]

83. Bhuvanagiri, S.P.; Pichika, S.; Akkur, R.; Chaganti, K.; Madhusoodhanan, R.; Pusapati, S.V. Chapter 9—Integrated Approach for Modeling Coastal Lagoons: A Case for Chilka Lake, India. In *Integrated Population Biology and Modeling, Part A*; Handbook of Statistics; Srinivasa Rao, A.S., Rao, C., Eds.; Elsevier: Amsterdam, The Netherlands, 2018; Volume 39, pp. 343–402. [CrossRef]

84. Lemenkova, P.; Debeir, O. Time Series Analysis of Landsat Images for Monitoring Flooded Areas in the Inner Niger Delta, Mali. *Artif. Satell.* **2023**, *58*, 278–313. [CrossRef]

85. Wessel, P.; Luis, J.F.; Uieda, L.; Scharroo, R.; Wobbe, F.; Smith, W.H.F.; Tian, D. The Generic Mapping Tools Version 6. *Geochem. Geophys. Geosystems* **2019**, *20*, 5556–5564. [CrossRef]

86. Lemenkova, P. Mapping Climate Parameters over the Territory of Botswana Using GMT and Gridded Surface Data from TerraClimate. *Isprs Int. J. -Geo-Inf.* **2022**, *11*, 473. [CrossRef]

87. Lemenkova, P. Handling Dataset with Geophysical and Geological Variables on the Bolivian Andes by the GMT Scripts. *Data* **2022**, *7*, 74. [CrossRef]

88. Lemenkova, P. Console-Based Mapping of Mongolia Using GMT Cartographic Scripting Toolset for Processing TerraClimate Data. *Geosciences* **2022**, *12*, 1–36. [CrossRef]

89. Ho, T.K. The random subspace method for constructing decision forests. *IEEE Trans. Pattern Anal. Mach. Intell.* **1998**, *20*, 832–844. [CrossRef]

90. Cohen, J. A Coefficient of Agreement for Nominal Scales. *Educ. Psychol. Meas.* **1960**, *20*, 37–46. [CrossRef]

91. Yu, T.; Ren, B.; Li, M. Regard to assessing agreement between two raters with kappa statistics. *Int. J. Cardiol.* **2024**, *403*, 131896. [CrossRef] [PubMed]

92. Li, M.; Gao, Q.; Yu, T. Using appropriate Kappa statistic in evaluating inter-rater reliability. Short communication on "Groundwater vulnerability and contamination risk mapping of semi-arid Totko river basin, India using GIS-based DRASTIC model and AHP techniques". *Chemosphere* **2023**, *328*, 138565. [CrossRef] [PubMed]

93. Bonhomme, V.; Castets, M.; Morel, J.; Gaucherel, C. Introducing the vectorial Kappa: An index to quantify congruence between vectorial mosaics. *Ecol. Indic.* **2015**, *57*, 96–99. [CrossRef]

94. Sim, J.; Wright, C.C. The Kappa Statistic in Reliability Studies: Use, Interpretation, and Sample Size Requirements. *Phys. Ther.* **2005**, *85*, 257–268. [CrossRef] [PubMed]

95. Hand, D.; Christen, P. A note on using the F-measure for evaluating record linkage algorithms. *Stat. Comput.* **2018**, *28*, 539–547. [CrossRef]

96. Sitarz, M. Extending F1 Metric, Probabilistic Approach. *arXiv* **2022**, arXiv:2210.11997.

97. Taha, A.A.; Hanbury, A. Metrics for evaluating 3D medical image segmentation: Analysis, selection, and tool. *BMC Med. Imaging* **2015**, *15*, 29. [CrossRef]

98. Huang, W.; Yan, H.; Liu, R.; Zhu, L.; Zhang, H.; Chen, H. F-score feature selection based Bayesian reconstruction of visual image from human brain activity. *Neurocomputing* **2018**, *316*, 202–209. [CrossRef]

99. Song, Q.; Cui, Z.; Liu, P. An Efficient Solution for Semantic Segmentation of Three Ground-based Cloud Datasets. *Earth Space Sci.* **2020**, *7*, e2019EA001040. [CrossRef]

100. Li, H.; Zhang, S.; Zhao, Y.; He, J.; Chen, X. Identification of raffinose family oligosaccharides in processed *Rehmannia glutinosa* Libosch using matrix-assisted laser desorption/ionization mass spectrometry image combined with machine learning. *Rapid Commun. Mass Spectrom.* **2023**, *37*, e9635. [CrossRef]
101. Mangla, B. Chilika Lake: Desilting Asia's Largest Brackish Water Lagoon. *Ambio* **1989**, *18*, 298–299.

102. McHugh, M.L. Interrater reliability: The kappa statistic. *Biochem. Medica* **2012**, *22*, 276–282. [CrossRef]

**Disclaimer/Publisher's Note:** The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
101. Mangla, B. Chilika Lake: Desilting Asia's Largest Brackish Water Lagoon. *Ambio* **1989**, *18*, 298–299.

102. McHugh, M.L. Interrater reliability: The kappa statistic. *Biochem. Medica* **2012**, *22*, 276–282. [CrossRef]

**Disclaimer/Publisher's Note:** The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.