Ansari, M & Akhoondzadeh, M 2020, Mapping water salinity using Landsat-8 OLI satellite images (Case study: Karun basin located in Iran). Advances in Space Research, 65: 1490-1502.

Bihamta, MR & Zare Chahouki, MA 2015, Principles of statistics for the natural resources science. University of Tehran Press, Tehran, Iran.

Cerqueira, TC, Mendonça, RL, Gomes, RL, de Jesus, RM & da Silva, DML 2020 Effects of urbanization on water quality in a watershed in northeastern Brazil. Environmental Monitoring and Assessment, 192: 65-73.

Clay Barrett, D & Frazier, A 2016, Automated method for monitoring water quality using Landsat imagery. Water, 8: 257-269.

Ebadati, N 2017 Statistical analysis of Dez River water quality, Southwest Iran. Anthropogenic Pollution, 1: 46-60

Fensholt, R, Sandholt, I & Pround, SR 2010, Assessment of MODIS sun-sensor geometry variations effect on observed NDVI using MSG SEVIRI geostationary data. International Journal of Remote Sensing, 31: 6163-6187.

Gani, MA, Sajib, AM, Siddik, MA & Moniruzzaman, M 2023, Assessing the impact of land use and land cover on river water quality using water quality index and remote sensing techniques. Environmental Monitoring and Assessment, 195: 449-557.

Ghaffari, A, Nasseri, M & Pasebani Someeh, A 2022, Assessing the economic effects of drought using Positive Mathematical Planning model under climate change scenarios. Heliyon, 8: 11941.

Goodarzi, M, Pourhashemi, M & Azizi, Z 2019, Investigation on Zagros Forests cover changes under the recent droughts using satellite imagery. Journal of Forest Science, 65: 9-17.

Gu, Q, Hu, H, Ma, L, Sheng, L, Yang, S, Zhang, X & Chen, L 2019, Characterizing the spatial variations of the relationship between land use and surface water quality using self-organizing map approach. Ecological Indicators, 102: 633-643.

Hashemifard, A, Kardavani, P & Asadian, F 2018, Evaluation of Eco-geomorphology and anthropogenic factors role on Karun River water quality (between Gotvand dam to Ahwaz). Iranian Water Research, 12: 51-59.

Hua, AK 2017, Land use land cover changes in detection of water quality: A study based on remote sensing and multivariate statistics. Journal of Environmental and Public Health, 7515130: 1-12.

Im, J, Jensen, J & Tullis, J 2008 Object‐based change detection using correlation image analysis and image segmentation. International Journal of Remote Sensing, 29: 399-423.

Jalili, S 2020, Water Quality Assessment Based on HFB I& BMWP Index in Karoon River, Khouzestan Provience (Northwest of Persian Gulf). Anthropogenic Pollution, 4: 36-49.

Jalalzadeh, A, Rabieifar, HR, Vosoughifar, H, Razmkhah, A & Fataei, E 2022, Investigation of daily waste load allocation in Zarrineh-rud river for environmental management of cold-water fish species. Anthropogenic Pollution, 6: 36-46.

Kändler, M, Blechinger, K, Seidler, C, Pavlů, V, Šanda, M, Dostál, T & Štich, M 2017, Impact of land use on water quality in the upper Nisa catchment in the Czech Republic and in Germany. Science of The Total Environment, 586: 1316-1325.

Kavzoglu, T & Colkesen, I 2009, A Kernel function analysis for support vector machines for land cover classification. International Journal of Applied Earth Observation and Geoinformation, 11: 352-359.

Liao, K, Xu, S, Wu, J & Zhu, L 2014, Using support vector machines to predict cation exchange capacity of different soil horizons in Qingdao City, China. Journal of Plant Nutrition Soil Science, 177: 775-782.

Lim, J & Choi, M 2015, Assessment of water quality based on Landsat 8 operational land imager associated with human activities in Korea. Environmental Monitoring Assessessment, 187(6): 384

Luo, Z, Shao, Q, Zuo, Q & Cui, Y 2020, Impact of land use and urbanization on river water quality and ecology in a dam dominated basin. Journal of Hydrology, 584: 124655.

Mishra, AP, Khali, H, Singh, S, Pande, CB, Singh, R & Chaurasia, SK 2021, An assessment of in-situ water quality parameters and its variation with Landsat 8 Level 1 Surface Reflectance datasets. International Journal of Environmental Analytical Chemistry, pp. 1-23. DOI: 10.1080/03067319.2021.1954175

Mello, KD, Valente, RA, Randhir, TO, dos Santos, ACA & Vettorazzi, CA 2018, Effects of land use and land cover on water quality of low-order streams in Southeastern Brazil: Watershed versus riparian zone. CATENA, 167: 130-138.

Markogianni, V, Kalivas, D, Petropoulos, GP & Dimitriou, E 2018, An appraisal of the potential of Landsat 8 in estimating chlorophyll-a, ammonium concentrations and other water quality indicators. Remote Sensing, 10: 1-22.

Maynard, JJ, Karl, JW & Browning, DM 2016, Effect of spatial image support in detecting long-term vegetation change from satellite time-series. Landscape Ecology, 31: 2045-2062.

Maurya, PK, Ali, SA, Alharbi, RS, Yadav, KK, Alfaisal, FM, Ahmad, A, Ditthakit, P, Prasad, S, Jung, YK & Jeon, BH 2021, Impacts of land use change on water quality index in the Upper Ganges River near Haridwar, Uttarakhand: A GIS-based analysis. Water, 13:3572.

Mushtaq, F & Nee Lala, MG2017, Remote estimation of water quality parameters of Himalayan Lake (Kashmir) using Landsat 8 OLI imagery. Geocarto International, 32: 274-285.

Obaid, AA, Ali, KA Abiye, TA & Adam, EM 2021, Assessing the utility of using current generation high-resolution satellites (Sentinel 2 and Landsat 8) to monitor large water supply dam in South Africa. Remote Sensing Applications: Society and Environment, 22: 100521.

Office of Operation and Maintenance of Irrigation and Drainage Networks 2017, Water resources in Sefidrud irrigation and drainage network. Guilan Regional Water Authority, Rasht, Iran.

Pizani, F, Maillard, P, Ferreira, A & Amorim, C 2020, Estimation of water quality in a reservoir from Sentinel-2 MSI and Landsat-8, OLI. Sensors, V-3-2020, 401-408.

Pushparaj, J & Hegde, AV 2017, Evaluation of pan-sharpening methods for spatial and spectral quality. Applied Geomatics, 9: 1-12.

Quang, NH, Dinh, NT, Dien, NT & Son, LT 2023, Calibration of Sentinel-2 Surface Reflectance for water quality modelling in Binh Dinh’s Coastal Zone of Vietnam. Sustainability, 15:2-20.

Sarp, G 2014, Spectral and spatial quality analysis of pan-sharpening algorithms: A case study in Istanbul. European Journal of Remote Sensing, 47:19-28.

Safizadeh, E, Karimi, D, Gahfarzadeh, HR & Pourhashemi, SA 2021, Investigation of physicochemical properties of water in downstream areas of selected dams in Aras catchment and water quality assessment (Case study: Aras catchment in the border area of Iran and Armenia). Anthropogenic Pollution, 5: 41-48.

Sajjadi, N, Davoodi, M, & Jozi, S 2019, The quality assessment of Kan River's resources in terms of agricultural and drinking purposes. Anthropogenic Pollution, 3: 46-53.

Shukla, AK, Ojha, CSP, Mijic, A, Buytaert, W, Pathak, S, Garg, RD & Shukla S.2018, Population growth, land use and land cover transformations, and water quality nexus in the Upper Ganga River basin. Hydrology and Earth System Sciences, 22: 4745-4770.

Tian, Y, Jiang, Y, Liu, Q, Dong, M, Xu, D, Liu, Y & Xu, X 2019, Using a water quality index to assess the water quality of the upper and middle streams of the Luanhe River, northern China. Science of The Total Environment, 667: 142-151.

Vakili, T & Amanollahi, J 2020, Determination of optically inactive water quality variables using Landsat 8 data: A case study in Geshlagh reservoir affected by agricultural land use. Journal of Cleaner Production, 247: 119134.

Xiong, F, Chen, Y, Zhang, S, Xu, Y, Lu, Y, Qu, X, Gao, W, Wu, X, Xin, W, Gang, DD & Lin, LS 2022, Land use, hydrology, and climate influence water quality of China's largest river. Journal of Environmental Management, 318: 115581.

Xu, S & Ehlers, M 2017, Hyperspectral image sharpening based on Ehlers Fusion, International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences, XLII-2/W7: 941-947.

Xu, H 2006, Modification of normalized difference water index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing, 27: 3025-3033.

Yadav, S, Babel, MS, Shrestha, S & Deb, P 2019, Land use impact on the water quality of large tropical river: Mun River Basin, Thailand. Environmental Monitoring and Assessment, 191: 614-618.

Yia, L, Binga, L, Qian-lia, L, Chenc, P & Yuana, L 2012, A change detection method for remote sensing image based on Multi-Feature Differencing Kernel Svm, ISPRS Annals of Photogrammetry. Remote Sensing and Spatial Information Sciences, 1: 227-235

Zhang, JX, Yang, J & Reinartz, P 2016, The optimized block-regression-based fusion algorithm for pan sharpening of very high-resolution satellite imagery, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B7: XXIII ISPRS Congress, pp. 12-19.

Zhang, Z, Zhang, Du, J, Chen, D & Zhang, W 2021, Impacts of land use at multiple buffer scales on seasonal water quality in a reticular river network area, PLoS ONE, 16: e0244606.