Quantitative Estimation of Soil Salinity Using UAV-Borne Hyperspectral and Satellite Multispectral Images
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Fei Wang | Tingting Fu | Ruiying Zhao | Jie Peng | Jie Hu | Zhou Shi | Yin Zhou | Dongyun Xu | Qingsong Jiang | Fei Wang | Z. Shi | Jie Hu | R. Zhao | Yin Zhou | Tingting Fu | Jie Peng | Qingsong Jiang | Dongyun Xu | Ruiying Zhao
[1] Suresh Kumar,et al. Hyperspectral Satellite Data in Mapping Salt-Affected Soils Using Linear Spectral Unmixing Analysis , 2012, Journal of the Indian Society of Remote Sensing.
[2] Luis A. Garcia,et al. Comparison of Ordinary Kriging, Regression Kriging, and Cokriging Techniques to Estimate Soil Salinity Using LANDSAT Images , 2010 .
[3] J. Qi,et al. Detecting soil salinity with MODIS time series VI data , 2015 .
[4] Jianli Ding,et al. Monitoring and evaluating spatial variability of soil salinity in dry and wet seasons in the Werigan–Kuqa Oasis, China, using remote sensing and electromagnetic induction instruments , 2014 .
[5] Gail P. Anderson,et al. Atmospheric correction for shortwave spectral imagery based on MODTRAN4 , 1999, Optics & Photonics.
[6] Christian Walter,et al. Detecting salinity hazards within a semiarid context by means of combining soil and remote-sensing data , 2006 .
[7] Donglin Zeng,et al. Reinforcement Learning Trees , 2015, Journal of the American Statistical Association.
[8] Richard Gloaguen,et al. Radiometric Correction and 3D Integration of Long-Range Ground-Based Hyperspectral Imagery for Mineral Exploration of Vertical Outcrops , 2018, Remote. Sens..
[9] L. Lin,et al. A concordance correlation coefficient to evaluate reproducibility. , 1989, Biometrics.
[10] A. Bregt,et al. UAV based soil salinity assessment of cropland , 2019, Geoderma.
[11] John Triantafilis,et al. Five Geostatistical Models to Predict Soil Salinity from Electromagnetic Induction Data Across Irrigated Cotton , 2001 .
[12] Onisimo Mutanga,et al. High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm , 2012, Int. J. Appl. Earth Obs. Geoinformation.
[13] Peter Droogers,et al. Effects of saline reclaimed waters and deficit irrigation on Citrus physiology assessed by UAV remote sensing , 2017 .
[14] F. Meer,et al. Quantitative analysis of salt-affected soil reflectance spectra: A comparison of two adaptive methods (PLSR and ANN) , 2007 .
[15] J. D. Mcneill,et al. Rapid, Accurate Mapping of Soil Salinity by Electromagnetic Ground Conductivity Meters , 2012 .
[16] Pablo J. Zarco-Tejada,et al. Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle , 2009, IEEE Transactions on Geoscience and Remote Sensing.
[17] Cardona Alzate,et al. Predicción y selección de variables con bosques aleatorios en presencia de variables correlacionadas , 2020 .
[18] John Triantafilis,et al. Application of digital soil mapping methods for identifying salinity management classes based on a study on coastal central China , 2013 .
[19] D. R. Cameron,et al. Measurement of Apparent Electrical Conductivity of Soils by an Electromagnetic Induction Probe to Aid Salinity Surveys , 1979 .
[20] E. Cloutis,et al. Review Article Hyperspectral geological remote sensing: evaluation of analytical techniques , 1996 .
[21] Graciela Metternicht,et al. Remote sensing of soil salinity: potentials and constraints , 2003 .
[22] Jianhua Gong,et al. UAV Remote Sensing for Urban Vegetation Mapping Using Random Forest and Texture Analysis , 2015, Remote. Sens..
[23] Yuanbo Liu,et al. Soil Salinity Retrieval from Advanced Multi-Spectral Sensor with Partial Least Square Regression , 2015, Remote. Sens..
[24] Graciela Metternicht,et al. Review of Remote Sensing-Based Methods to Assess Soil Salinity , 2008 .
[25] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[26] Yan Li,et al. Ecophysiological response and morphological adjustment of two Central Asian desert shrubs towards variation in summer precipitation. , 2007, Plant, cell & environment.
[27] Tao Wang,et al. Quantitative Model Based on Field-Derived Spectral Characteristics to Estimate Soil Salinity in Minqin County, China , 2014 .
[28] D. Joshi,et al. Potentiality of Landsat, SPOT and IRS satellite imagery, for recognition of salt affected soils in Indian Arid Zone , 1996 .
[29] P. Hick,et al. Some spectral considerations for remote sensing of soil salinity , 1990 .
[30] László Pásztor,et al. Spectral band selection for the characterization of salinity status of soils , 1993 .
[31] Vincent Bretagnolle,et al. Spatial leave‐one‐out cross‐validation for variable selection in the presence of spatial autocorrelation , 2014 .
[32] C. Siebe,et al. Mapping soil salinity using a combined spectral response index for bare soil and vegetation: A case study in the former lake Texcoco, Mexico , 2006 .
[33] R. Saxena,et al. Remote sensing technique for mapping salt affected soils , 1994 .
[34] Moses Azong Cho,et al. Model-Based Integrated Methods for Quantitative Estimation of Soil Salinity from Hyperspectral Remote Sensing Data: A Case Study of Selected South African Soils , 2012 .
[35] D. R. Cutler,et al. Utah State University From the SelectedWorks of , 2017 .
[36] Carsten F. Dormann,et al. Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure , 2017 .
[37] Bin Zhao,et al. Using hyperspectral vegetation indices as a proxy to monitor soil salinity , 2010 .
[38] Jorge Torres-Sánchez,et al. An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery , 2018, Remote. Sens..
[39] F. Meer,et al. Spectral characteristics of salt-affected soils: A laboratory experiment , 2008 .
[40] Andy Liaw,et al. Classification and Regression by randomForest , 2007 .
[41] Yan Guo,et al. Mapping Spatial Variability of Soil Salinity in a Coastal Paddy Field Based on Electromagnetic Sensors , 2015, PloS one.
[42] Zhou Shi,et al. Estimating soil salinity from remote sensing and terrain data in southern Xinjiang Province, China , 2019, Geoderma.
[43] Luis A. Garcia,et al. Detecting Soil Salinity in Alfalfa Fields using Spatial Modeling and Remote Sensing , 2008 .
[44] D. Bui,et al. A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape. , 2015 .
[45] A. Karnieli,et al. Mapping of several soil properties using DAIS-7915 hyperspectral scanner data - a case study over clayey soils in Israel , 2002 .
[46] Tin Kam Ho,et al. The Random Subspace Method for Constructing Decision Forests , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[47] A. Jakeman,et al. Salinisation of Land and water Resources; Human causes , 1995 .
[48] G. F. Epema,et al. Remote sensing of salt affected soils , 1993 .
[49] K. Sreenivas,et al. Image transforms as a tool for the study of soil salinity and alkalinity dynamics , 1998 .
[50] Frédéric Baret,et al. Assessment of Unmanned Aerial Vehicles Imagery for Quantitative Monitoring of Wheat Crop in Small Plots , 2008, Sensors.
[51] Zhou Shi,et al. Prediction of soil attributes using the Chinese soil spectral library and standardized spectra recorded at field conditions , 2016 .
[52] T. Flowers,et al. Salinity tolerance in halophytes. , 2008, The New phytologist.
[53] Michael Thiel,et al. High Resolution Mapping of Soil Properties Using Remote Sensing Variables in South-Western Burkina Faso: A Comparison of Machine Learning and Multiple Linear Regression Models , 2017, PloS one.
[54] Zhou Shi,et al. Predicting total dissolved salts and soluble ion concentrations in agricultural soils using portable visible near-infrared and mid-infrared spectrometers , 2016 .
[55] Shuhe Zhao,et al. Estimating soil salinity in Pingluo County of China using QuickBird data and soil reflectance spectra , 2014, Int. J. Appl. Earth Obs. Geoinformation.
[56] D. Corwin,et al. Apparent soil electrical conductivity measurements in agriculture , 2005 .
[57] G. Taylor,et al. Field-derived spectra of salinized soils and vegetation as indicators of irrigation-induced soil salinization , 2002 .
[58] Jie Song,et al. Species, types, distribution, and economic potential of halophytes in China , 2011, Plant and Soil.
[59] Mourad Lounis,et al. Remote Sensing Techniques for Salt Affected Soil Mapping: Application to the Oran Region of Algeria , 2012 .
[60] Lalit Kumar,et al. Assessing soil salinity using soil salinity and vegetation indices derived from IKONOS high-spatial resolution imageries: Applications in a date palm dominated region , 2014 .
[61] Alfred E. Hartemink,et al. Land use and climate change effects on soil organic carbon in North and Northeast China. , 2019, The Science of the total environment.
[62] Urs Schmidhalter,et al. Comparison of the EM38 and EM38-MK2 electromagnetic induction-based sensors for spatial soil analysis at field scale , 2015, Comput. Electron. Agric..
[63] Jan G. P. W. Clevers,et al. Mapping Reflectance Anisotropy of a Potato Canopy Using Aerial Images Acquired with an Unmanned Aerial Vehicle , 2017, Remote. Sens..
[64] Andreas Burkart,et al. Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: From camera calibration to quality assurance , 2015 .
[65] Heikki Saari,et al. Processing and Assessment of Spectrometric, Stereoscopic Imagery Collected Using a Lightweight UAV Spectral Camera for Precision Agriculture , 2013, Remote. Sens..