Estimating the distribution trend of soil heavy metals in mining area from HyMap airborne hyperspectral imagery based on ensemble learning
出版年份 2020 全文链接
标题
Estimating the distribution trend of soil heavy metals in mining area from HyMap airborne hyperspectral imagery based on ensemble learning
作者
关键词
Airborne hyperspectral remote sensing, Soil heavy metal estimation, Heavy metal spectral characteristics, Overfitting, Ensemble learning
出版物
JOURNAL OF HAZARDOUS MATERIALS
Volume 401, Issue -, Pages 123288
出版商
Elsevier BV
发表日期
2020-06-27
DOI
10.1016/j.jhazmat.2020.123288
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Prediction of soil macro- and micro-elements in sieved and ground air-dried soils using laboratory-based hyperspectral imaging technique
- (2019) Mohammad Malmir et al. GEODERMA
- Monitoring of selected soil contaminants using proximal and remote sensing techniques: Background, state-of-the-art and future perspectives
- (2018) Asa Gholizadeh et al. CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY
- Hyperspectral sensing of heavy metals in soil and vegetation: Feasibility and challenges
- (2018) Fenghe Wang et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- An improved estimation model for soil heavy metal(loid) concentration retrieval in mining areas using reflectance spectroscopy
- (2018) Kun Tan et al. JOURNAL OF SOILS AND SEDIMENTS
- Assessment of soil heavy metals for eco-environment and human health in a rapidly urbanization area of the upper Yangtze Basin
- (2018) Zhongmin Jia et al. Scientific Reports
- Estimation of the Fe and Cu Contents of the Surface Water in the Ebinur Lake Basin Based on LIBS and a Machine Learning Algorithm
- (2018) Xianlong Zhang et al. International Journal of Environmental Research and Public Health
- Estimating soil zinc concentrations using reflectance spectroscopy
- (2017) Weichao Sun et al. International Journal of Applied Earth Observation and Geoinformation
- Mapping mineral prospectivity using an extreme learning machine regression
- (2017) Yongliang Chen et al. ORE GEOLOGY REVIEWS
- An overview of satellite remote sensing technology used in China’s environmental protection
- (2017) Shaohua Zhao et al. Earth Science Informatics
- Predictive geochemical mapping using environmental correlation
- (2016) John Wilford et al. APPLIED GEOCHEMISTRY
- Soil mapping, classification, and pedologic modeling: History and future directions
- (2016) Eric C. Brevik et al. GEODERMA
- A review on spectral processing methods for geological remote sensing
- (2016) Saeid Asadzadeh et al. International Journal of Applied Earth Observation and Geoinformation
- Random forest in remote sensing: A review of applications and future directions
- (2016) Mariana Belgiu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Rapid identification of soil cadmium pollution risk at regional scale based on visible and near-infrared spectroscopy
- (2015) Tao Chen et al. ENVIRONMENTAL POLLUTION
- Using ensemble models to identify and apportion heavy metal pollution sources in agricultural soils on a local scale
- (2015) Qi Wang et al. ENVIRONMENTAL POLLUTION
- Estimate of heavy metals in soil and streams using combined geochemistry and field spectroscopy in Wan-sheng mining area, Chongqing, China
- (2015) Lian Song et al. International Journal of Applied Earth Observation and Geoinformation
- Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines
- (2015) V. Rodriguez-Galiano et al. ORE GEOLOGY REVIEWS
- Contamination features and health risk of soil heavy metals in China
- (2015) Haiyang Chen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A Robust Fuzzy Neural Network Model for Soil Lead Estimation from Spectral Features
- (2015) Rohollah Goodarzi et al. Remote Sensing
- Determination of soil properties with visible to near- and mid-infrared spectroscopy: Effects of spectral variable selection
- (2014) M. Vohland et al. GEODERMA
- Estimation of Arsenic Contamination in Reclaimed Agricultural Soils Using Reflectance Spectroscopy and ANFIS Model
- (2014) Kun Tan et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- The Performance of Visible, Near-, and Mid-Infrared Reflectance Spectroscopy for Prediction of Soil Physical, Chemical, and Biological Properties
- (2013) José M. Soriano-Disla et al. APPLIED SPECTROSCOPY REVIEWS
- Prediction of low heavy metal concentrations in agricultural soils using visible and near-infrared reflectance spectroscopy
- (2013) Junjie Wang et al. GEODERMA
- Visible and near-infrared reflectance spectroscopy—An alternative for monitoring soil contamination by heavy metals
- (2013) Tiezhu Shi et al. JOURNAL OF HAZARDOUS MATERIALS
- Prediction of Soil Properties with PLSR and vis-NIR Spectroscopy: Application to Mediterranean Soils from Southern Italy
- (2012) Antonio P. Leone et al. Current Analytical Chemistry
- Hyperspectral analysis of mangrove foliar chemistry using PLSR and support vector regression
- (2012) Christoffer Axelsson et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Strategies for Soil Quality Assessment Using Visible and Near-Infrared Reflectance Spectroscopy in a Western Kenya Chronosequence
- (2012) Rintaro Kinoshita et al. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL
- Measurement of process variables in solid-state fermentation of wheat straw using FT-NIR spectroscopy and synergy interval PLS algorithm
- (2012) Hui Jiang et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- Support vector machine regression (SVR/LS-SVM)—an alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near infrared (NIR) spectroscopy data
- (2011) Roman M. Balabin et al. ANALYST
- Variable selection in near-infrared spectroscopy: Benchmarking of feature selection methods on biodiesel data
- (2011) Roman M. Balabin et al. ANALYTICA CHIMICA ACTA
- Integrating spectral indices with environmental parameters for estimating heavy metal concentrations in rice using a dynamic fuzzy neural-network model
- (2011) Meiling Liu et al. COMPUTERS & GEOSCIENCES
- Variables selection methods in near-infrared spectroscopy
- (2010) Zou Xiaobo et al. ANALYTICA CHIMICA ACTA
- Estimation of heavy-metal contamination in soil using reflectance spectroscopy and partial least-squares regression
- (2010) Caaminee M. Pandit et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration
- (2009) Hongdong Li et al. ANALYTICA CHIMICA ACTA
- Use of Reflectance Infrared Spectroscopy for Monitoring the Metal Content of the Estuarine Sediments of the Nerbioi-Ibaizabal River (Metropolitan Bilbao, Bay of Biscay, Basque Country)
- (2009) Javier Moros et al. ENVIRONMENTAL SCIENCE & TECHNOLOGY
- A review of heavy metal contaminations in urban soils, urban road dusts and agricultural soils from China
- (2009) Binggan Wei et al. MICROCHEMICAL JOURNAL
- Estimation of As and Cu Contamination in Agricultural Soils Around a Mining Area by Reflectance Spectroscopy: A Case Study
- (2009) Hong-Yan REN et al. PEDOSPHERE
- Using Imaging Spectroscopy to study soil properties
- (2009) E. Ben-Dor et al. REMOTE SENSING OF ENVIRONMENT
- Review of the most common pre-processing techniques for near-infrared spectra
- (2009) Åsmund Rinnan et al. TRAC-TRENDS IN ANALYTICAL CHEMISTRY
- On the geometry of SNV and MSC
- (2008) Tom Fearn et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Support vector machines (SVM) in near infrared (NIR) spectroscopy: Focus on parameters optimization and model interpretation
- (2008) Olivier Devos et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Mapping of heavy metal pollution in stream sediments using combined geochemistry, field spectroscopy, and hyperspectral remote sensing: A case study of the Rodalquilar mining area, SE Spain
- (2008) Eunyoung Choe et al. REMOTE SENSING OF ENVIRONMENT
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started