Retrieval of Total Phosphorus Concentration in the Surface Water of Miyun Reservoir Based on Remote Sensing Data and Machine Learning Algorithms
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Zhi Qiao | Ling Xiao | Siyang Sun | Qun’ou Jiang | Yunqi Wang | Haiming Yan | Zhi Qiao | Haiming Yan | Yunqi Wang | Qun'ou Jiang | Ling Xiao | Siyang Sun
[1] Zhongfeng Qiu,et al. Detection of Total Phosphorus Concentrations of Turbid Inland Waters Using a Remote Sensing Method , 2014, Water, Air, & Soil Pollution.
[2] Ronghua Ma,et al. Climate- and human-induced changes in suspended particulate matter over Lake Hongze on short and long timescales , 2017 .
[3] Xingyuan Song,et al. Empirical Estimation of Total Nitrogen and Total Phosphorus Concentration of Urban Water Bodies in China Using High Resolution IKONOS Multispectral Imagery , 2015 .
[4] T. Louw,et al. Water quality assessment using a portable UV optical absorbance nitrate sensor with a scintillator and smartphone camera , 2021, Water SA.
[5] Victor Chang,et al. Towards an improved Adaboost algorithmic method for computational financial analysis , 2019, J. Parallel Distributed Comput..
[6] Zhaoning Gong,et al. Retrieval and Evaluation of Chlorophyll-a Concentration in Reservoirs with Main Water Supply Function in Beijing, China, Based on Landsat Satellite Images , 2021, International journal of environmental research and public health.
[7] Robert A. Shuchman,et al. Spatial and temporal variability of inherent and apparent optical properties in western Lake Erie: Implications for water quality remote sensing , 2019, Journal of Great Lakes Research.
[8] X. Lei,et al. 3-D hydro-environmental simulation of Miyun reservoir, Beijin , 2014 .
[9] Abbas Parsaie,et al. Water quality prediction using machine learning methods , 2018 .
[10] L. Vilas,et al. Neural network estimation of chlorophyll a from MERIS full resolution data for the coastal waters of Galician rias (NW Spain) , 2011 .
[11] Changchun Huang,et al. Long-term variation of phytoplankton biomass and physiology in Taihu lake as observed via MODIS satellite. , 2019, Water research.
[12] Xiaoling Chen,et al. Long-Term Distribution Patterns of Chlorophyll-a Concentration in China's Largest Freshwater Lake: MERIS Full-Resolution Observations with a Practical Approach , 2014, Remote. Sens..
[13] Jan Dirk Wegner,et al. Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network , 2019 .
[14] Andrew J. Sekellick,et al. Modeling drivers of phosphorus loads in Chesapeake Bay tributaries and inferences about long-term change. , 2018, The Science of the total environment.
[15] Mike Tsionas,et al. Diagnosing and correcting the effects of multicollinearity: Bayesian implications of ridge regression , 2019, Tourism Management.
[16] Palanisamy Shanmugam,et al. Classification of algal bloom species from remote sensing data using an extreme gradient boosted decision tree model , 2019, International Journal of Remote Sensing.
[17] Wang Meilin,et al. Retrieval model for total nitrogen concentration based on UAV hyper spectral remote sensing data and machine learning algorithms – A case study in the Miyun Reservoir, China , 2021 .
[18] Yongnian Gao,et al. Remote sensing estimation of the total phosphorus concentration in a large lake using band combinations and regional multivariate statistical modeling techniques. , 2015, Journal of environmental management.
[19] M. Kishino,et al. Retrieval of Chlorophyll a, suspended solids, and colored dissolved organic matter in Tokyo Bay using ASTER data , 2005 .
[20] Xiaoling Chen,et al. Radiometric cross-calibration of Gaofen-1 WFV cameras using Landsat-8 OLI images: A solution for large view angle associated problems , 2016 .
[21] H. Xie,et al. Modeling alpine grassland forage phosphorus based on hyperspectral remote sensing and a multi-factor machine learning algorithm in the east of Tibetan Plateau, China , 2019, ISPRS Journal of Photogrammetry and Remote Sensing.
[22] Haifeng Li,et al. Automatic fast double KNN classification algorithm based on ACC and hierarchical clustering for big data , 2018, Int. J. Commun. Syst..
[23] D. Chapman,et al. Developments in water quality monitoring and management in large river catchments using the Danube River as an example , 2016 .
[24] Peter D. Hunter,et al. A global approach for chlorophyll-a retrieval across optically complex inland waters based on optical water types , 2019, Remote Sensing of Environment.
[25] Raimund Rolfes,et al. Neural network assisted multiscale analysis for the elastic properties prediction of 3D braided composites under uncertainty , 2018 .
[26] Qun'ou Jiang,et al. Incorporating Temporal and Spatial Variations of Groundwater into the Construction of a Water-Based Ecological Network: A Case Study in Denko County , 2017 .
[27] M. Ashraf,et al. Artificial neural network model to predict transport parameters of reactive solutes from basic soil properties. , 2019, Environmental pollution.
[28] The Impact of Correlated and/or Interacting Predictor Omission on Estimated Regression Coefficients in Linear Regression , 2019, Journal of Statistical Theory and Practice.
[29] Ahmed El-Shafie,et al. Towards a time and cost effective approach to water quality index class prediction , 2019, Journal of Hydrology.
[30] Eckhard Hitzer,et al. Feature Extraction Using Conformal Geometric Algebra for AdaBoost Algorithm Based In-plane Rotated Face Detection , 2019, Advances in Applied Clifford Algebras.
[31] A. Wimmer,et al. Silver Nanoparticle Levels in River Water: Real Environmental Measurements and Modeling Approaches—A Comparative Study , 2019, Environmental Science & Technology Letters.
[32] F. Qaderi,et al. Prediction of the groundwater remediation costs for drinking use based on quality of water resource, using artificial neural network , 2017 .
[33] José M. Sempere,et al. Modeling of Decision Trees Through P Systems , 2019, New Generation Computing.
[34] Caicai Xu,et al. Temporal and spatial variability of phytoplankton in Lake Poyang: The largest freshwater lake in China , 2013 .
[35] Jafar Y. Al-Jawad,et al. A comprehensive optimum integrated water resources management approach for multidisciplinary water resources management problems. , 2019, Journal of environmental management.
[36] Chengguang Lai,et al. Tree-ring-width based streamflow reconstruction based on the random forest algorithm for the source region of the Yangtze River, China , 2019 .
[37] Benjamín Barán,et al. Spectrum defragmentation algorithms in elastic optical networks , 2019, Opt. Switch. Netw..
[38] Jie Liu,et al. Data integration by multi-tuning parameter elastic net regression , 2018, BMC Bioinformatics.
[39] Chunxiang Qian,et al. Combination of Support Vector Machine and K-Fold cross validation to predict compressive strength of concrete in marine environment , 2019, Construction and Building Materials.
[40] Dieu Tien Bui,et al. A comparative study of support vector machine and logistic model tree classifiers for shallow landslide susceptibility modeling , 2019, Environmental Earth Sciences.
[41] Yaojie Zhang,et al. Forecasting crude oil prices with a large set of predictors: Can LASSO select powerful predictors? , 2019 .
[42] Zhenyao Shen,et al. Predicting fecal coliform using the interval-to-interval approach and SWAT in the Miyun watershed, China , 2017, Environmental Science and Pollution Research.
[43] D. Diner,et al. The MISR radiometric calibration process , 2007 .
[44] Manchun Li,et al. Parallel relative radiometric normalisation for remote sensing image mosaics , 2014, Comput. Geosci..
[45] Cheng Sun,et al. National assessment of spatiotemporal loss in agricultural pesticides and related potential exposure risks to water quality in China. , 2019, The Science of the total environment.
[46] W. Hao,et al. Inversion of soil moisture content in the farmland in middle and lower reaches of Syr Darya River Basin based on multi-source remotely sensed data , 2019, JOURNAL OF NATURAL RESOURCES.
[47] Yue Zhang,et al. Integrated water resources management for an inland river basin in China , 2019, Watershed Ecology and the Environment.
[48] Zhenyao Shen,et al. Quantifying effects of conservation practices on non-point source pollution in the Miyun Reservoir Watershed, China , 2019, Environmental Monitoring and Assessment.
[49] Fangling Pu,et al. Combining Artificial Neural Networks with Causal Inference for Total Phosphorus Concentration Estimation and Sensitive Spectral Bands Exploration Using MODIS , 2020, Water.
[50] Kerrie Mengersen,et al. A Decision Tree Approach for Spatially Interpolating Missing Land Cover Data and Classifying Satellite Images , 2019, Remote. Sens..
[51] M. Kim,et al. A convolutional neural network regression for quantifying cyanobacteria using hyperspectral imagery , 2019, Remote Sensing of Environment.
[52] P. Pachura,et al. CHARACTERISTICS OF SPATIAL DISTRIBUTION OF PHOSPHORUS AND NITROGEN IN THE BOTTOM SEDIMENTS OF THE WATER RESERVOIR PORAJ , 2017 .
[53] V. Muhandiki,et al. Water resources management and Integrated Water Resources Management implementation in Malawi: Status and implications for lake basin management , 2017 .