Aswathy, T. S., Achu, A. L., Francis, S., Gopinath, G., Joseph, S., Surendran, U., & Sunil, P. S. (2021). Assessment of water quality in a tropical ramsar wetland of southern India in the wake of COVID-19. Remote Sensing Applications: Society and Environment, 23(August), 100604. https://doi.org/10.1016/j.rsase.2021.100604
Bennett, M. G., Lee, S. S., Schofield, K. A., Ridley, C. E., Washington, B. J., & Gibbs, D. A. (2021). Response of chlorophyll a to total nitrogen and total phosphorus concentrations in lotic ecosystems: a systematic review. Environmental Evidence, 10(1), 1–25. https://doi.org/10.1186/s13750-021-00238-8
Bernardo, N., Watanabe, F., Rodrigues, T., & Alcântara, E. (2017). Atmospheric correction issues for retrieving total suspended matter concentrations in inland waters using OLI/Landsat-8 image. Advances in Space Research, 59(9), 2335–2348. https://doi.org/10.1016/j.asr.2017.02.017
Bhattacharjee, R., Gupta, A., Das, N., Agnihotri, A. K., Ohri, A., & Gaur, S. (2022). Analysis of algal bloom intensification in mid-Ganga river, India, using satellite data and neural network techniques. Environmental Monitoring and Assessment, 194(8), 547. https://doi.org/10.1007/s10661-022-10213-6
Boucher, J., Weathers, K. C., Norouzi, H., & Steele, B. (2018). Assessing the effectiveness of Landsat 8 chlorophyll a retrieval algorithms for regional freshwater monitoring. Ecological Applications, 28(4), 1044–1054. https://doi.org/10.1002/eap.1708
Bowes, M. J., Read, D. S., Joshi, H., Sinha, R., Ansari, A., Hazra, M., Simon, M., Vishwakarma, R., Armstrong, L. K., Nicholls, D. J. E., Wickham, H. D., Ward, J., Carvalho, L. R., & Rees, H. G. (2020). Nutrient and microbial water quality of the upper Ganga River, India: identification of pollution sources. Environmental Monitoring and Assessment, 192(8). https://doi.org/10.1007/s10661-020-08456-2
Bresciani, M., Cazzaniga, I., Austoni, M., Sforzi, T., Buzzi, F., Morabito, G., & Giardino, C. (2018). Mapping phytoplankton blooms in deep subalpine lakes from Sentinel-2A and Landsat-8. Hydrobiologia, 824(1), 197–214. https://doi.org/10.1007/s10750-017-3462-2
Bu, J., Cai, L., Yan, X., Xu, H., Hu, H., & Jiang, J. (2022). Monitoring the Chl-a Distribution Details in the Yangtze River Mouth Using Satellite Remote Sensing. Water (Switzerland), 14(8). https://doi.org/10.3390/w14081295
Chander, S., Pompapathi, V., Gujrati, A., Singh, R. P., Chaplot, N., & Patel, U. D. (2018). Growth of invasive aquatic macrophytes over Tapi river. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 42(5), 829–833. https://doi.org/10.5194/isprs-archives-XLII-5-829-2018
Cheng, C., Wei, Y., Lv, G., & Yuan, Z. (2013). Remote estimation of chlorophyll-a concentration in turbid water using a spectral index: a case study in Taihu Lake, China. Journal of Applied Remote Sensing, 7(1), 073465. https://doi.org/10.1117/1.jrs.7.073465
De Keukelaere, L., Sterckx, S., Adriaensen, S., Knaeps, E., Reusen, I., Giardino, C., Bresciani, M., Hunter, P., Neil, C., Van der Zande, D., & Vaiciute, D. (2018). Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters. European Journal of Remote Sensing, 51(1), 525–542. https://doi.org/10.1080/22797254.2018.1457937
Filstrup, C. T., & Downing, J. A. (2017). Relationship of chlorophyll to phosphorus and nitrogen in nutrient-rich lakes. Inland Waters, 7(4), 385–400. https://doi.org/10.1080/20442041.2017.1375176
Gholizadeh, M. H., Melesse, A. M., & Reddi, L. (2016). A comprehensive review on water quality parameters estimation using remote sensing techniques. In Sensors (Switzerland) (Vol. 16, Issue 8). MDPI AG. https://doi.org/10.3390/s16081298
Guo, Q., Wu, X., Bing, Q., Pan, Y., Wang, Z., Fu, Y., Wang, D., & Liu, J. (2016). Study on retrieval of chlorophyll-a concentration based on Landsat OLI Imagery in the Haihe River, China. Sustainability (Switzerland), 8(8). https://doi.org/10.3390/su8080758
Ha, N. T. T., Koike, K., Nhuan, M. T., Canh, B. D., Thao, N. T. P., & Parsons, M. (2017). Landsat 8/OLI Two bands ratio algorithm for chlorophyll-a concentration mapping in hypertrophic waters: An application to west lake in Hanoi (Vietnam). IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(11), 4919–4929. https://doi.org/10.1109/JSTARS.2017.2739184
Ha, N. T. T., Thao, N. T. P., Koike, K., & Nhuan, M. T. (2017). Selecting the best band ratio to estimate chlorophyll-a concentration in a tropical freshwater lake using sentinel 2A images from a case study of Lake Ba Be (Northern Vietnam). ISPRS International Journal of Geo-Information, 6(9). https://doi.org/10.3390/ijgi6090290
Ilori, C. O., Pahlevan, N., & Knudby, A. (2019). Analyzing performances of different atmospheric correction techniques for Landsat 8: Application for coastal remote sensing. In Remote Sensing (Vol. 11, Issue 4). https://doi.org/10.3390/rs11040469
Jang, M. T. G., Alcântara, E., Rodrigues, T., Park, E., Ogashawara, I., & Marengo, J. A. (2022). Increased chlorophyll-a concentration in Barra Bonita reservoir during extreme drought periods. The Science of the Total Environment, 843(June), 157106. https://doi.org/10.1016/j.scitotenv.2022.157106
Jeong, K. S., Kim, D. K., Shin, H. S., Kim, H. W., Cao, H., Jang, M. H., & Joo, G. J. (2010). Flow regulation for water quality (chlorophyll a) improvement. International Journal of Environmental Research, 4(4), 713–724.
Kärcher, O., Filstrup, C. T., Brauns, M., Tasevska, O., Patceva, S., Hellwig, N., Walz, A., Frank, K., & Markovic, D. (2020). Chlorophyll a relationships with nutrients and temperature, and predictions for lakes across perialpine and Balkan mountain regions. Inland Waters, 10(1), 29–41. https://doi.org/10.1080/20442041.2019.1689768
Lantzanakis, G., Mitraka, Z., & Chrysoulakis, N. (2016). Comparison of physically and image based atmospheric correction methods for Sentinel-2 satellite imagery. Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016), 9688(August), 96880A. https://doi.org/10.1117/12.2242889
Le, C., Hu, C., Cannizzaro, J., English, D., Muller-Karger, F., & Lee, Z. (2013). Evaluation of chlorophyll-a remote sensing algorithms for an optically complex estuary. Remote Sensing of Environment, 129, 75–89. https://doi.org/10.1016/j.rse.2012.11.001
Liu, S., Glamore, W., Tamburic, B., Morrow, A., & Johnson, F. (2022). Remote sensing to detect harmful algal blooms in inland waterbodies. Science of the Total Environment, 851(May), 158096. https://doi.org/10.1016/j.scitotenv.2022.158096
Maciel, F. P., & Pedocchi, F. (2022). Evaluation of ACOLITE atmospheric correction methods for Landsat-8 and Sentinel-2 in the Río de la Plata turbid coastal waters. In International Journal of Remote Sensing (Vol. 43, Issue 1, pp. 215–240). https://doi.org/10.1080/01431161.2021.2009149
Mishra, S., & Mishra, D. R. (2012). Normalized difference chlorophyll index: A novel model for remote estimation of chlorophyll-a concentration in turbid productive waters. Remote Sensing of Environment, 117, 394–406. https://doi.org/10.1016/j.rse.2011.10.016
Moses, W. J., Gitelson, A. A., Berdnikov, S., & Povazhnyy, V. (2009). Estimation of chlorophyll-a concentration in case II waters using MODIS and MERIS data - Successes and challenges. Environmental Research Letters, 4(4). https://doi.org/10.1088/1748-9326/4/4/045005
Naderahmadian, A., Eftekhari-Sis, B., Jafari, H., Zirak, M., Padervand, M., Mahmoudi, G., & Samadi, M. (2023). Cellulose nanofibers decorated with SiO2 nanoparticles: Green adsorbents for removal of cationic and anionic dyes; kinetics, isotherms, and thermodynamic studies. International Journal of Biological Macromolecules, 247(July), 125753. https://doi.org/10.1016/j.ijbiomac.2023.125753
Padervand, M., Ghasemi, S., Hajiahmadi, S., & Wang, C. (2021). K4Nb6O17/Fe3N/α-Fe2O3/C3N4 as an enhanced visible light-driven quaternary photocatalyst for acetamiprid photodegradation, CO2 reduction, and cancer cells treatment. Applied Surface Science, 544(December 2020). https://doi.org/10.1016/j.apsusc.2021.148939
Padervand, M., Lichtfouse, E., Robert, D., & Wang, C. (2020). Removal of microplastics from the environment. A review. Environmental Chemistry Letters, 18(3), 807–828. https://doi.org/10.1007/s10311-020-00983-1
Padervand, M., Rhimi, B., & Wang, C. (2021). One-pot synthesis of novel ternary Fe3N/Fe2O3/C3N4 photocatalyst for efficient removal of rhodamine B and CO2 reduction. Journal of Alloys and Compounds, 852. https://doi.org/10.1016/j.jallcom.2020.156955
Prasad, S., Saluja, R., & Garg, J. K. (2020). Assessing the efficacy of Landsat-8 OLI imagery derived models for remotely estimating chlorophyll-a concentration in the Upper Ganga River, India. International Journal of Remote Sensing, 41(7), 2439–2456. https://doi.org/10.1080/01431161.2019.1688888
Premkumar, R., Venkatachalapathy, R., & Visweswaran, S. (2021). Materials Today : Proceedings Bio-optical studies on chlorophyll-a concentration in Hooghly River , India. Materials Today: Proceedings, 47, 488–492. https://doi.org/10.1016/j.matpr.2021.05.034
Stow, C. A., & Cha, Y. (2013). Are chlorophyll a -total phosphorus correlations useful for inference and prediction? Environmental Science and Technology, 47(8), 3768–3773. https://doi.org/10.1021/es304997p
Timbadiya, P. V, Patel, P. L., & Porey, P. D. (2011). Calibration of HEC-RAS Model on Prediction of Flood for Lower Tapi River , India. 2011(November), 805–811. https://doi.org/10.4236/jwarp.2011.311090
Vanhellemont, Q. (2019). Adaptation of the dark spectrum fitting atmospheric correction for aquatic applications of the Landsat and Sentinel-2 archives. Remote Sensing of Environment, 225(October 2018), 175–192. https://doi.org/10.1016/j.rse.2019.03.010
Vanhellemont, Q. (2020). Sensitivity analysis of the dark spectrum fitting atmospheric correction for metre- and decametre-scale satellite imagery using autonomous hyperspectral radiometry. Optics Express, 28(20), 29948. https://doi.org/10.1364/oe.397456
Vanhellemont, Q., & Ruddick, K. (2018). Atmospheric correction of metre-scale optical satellite data for inland and coastal water applications. Remote Sensing of Environment, 216(July), 586–597. https://doi.org/10.1016/j.rse.2018.07.015
Waghwala, R. K., & Agnihotri, P. G. (2021). Impact assessment of urbanization on flood risk and integrated flood management approach: a case study of Surat city and its surrounding region. ISH Journal of Hydraulic Engineering, 27(S1), 577–587. https://doi.org/10.1080/09715010.2019.1658548
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