A comparison of multiple deep learning methods for predicting soil organic carbon in Southern Xinjiang, China

Visible-NIR spectral characteristics and grade inversion model of skarn-type iron ore

(2022) Xiaohua Li et al.   INFRARED PHYSICS & TECHNOLOGY

Modelling soil organic carbon stock distribution across different land-uses in South Africa: A remote sensing and deep learning approach

(2022) Omosalewa Odebiri et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep transfer learning of global spectra for local soil carbon monitoring

(2022) Zefang Shen et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing

(2022) Sheng Wang et al.   REMOTE SENSING OF ENVIRONMENT

Forest carbon sink in China: Linked drivers and long short-term memory network-based prediction

(2022) Chong Xu et al.   Journal of Cleaner Production

Assessing the uncertainty of deep learning soil spectral models using Monte Carlo dropout

(2022) J. Padarian et al.   GEODERMA

Data mining of urban soil spectral library for estimating organic carbon

(2022) Yongsheng Hong et al.   GEODERMA

Hyperspectral anomaly detection via fractional Fourier transform and deep belief networks

(2022) Lili Zhang et al.   INFRARED PHYSICS & TECHNOLOGY

An advanced soil organic carbon content prediction model via fused temporal-spatial-spectral (TSS) information based on machine learning and deep learning algorithms

(2022) Xiangtian Meng et al.   REMOTE SENSING OF ENVIRONMENT

Estimation of Soil Organic Carbon Using Vis-NIR Spectral Data and Spectral Feature Bands Selection in Southern Xinjiang, China

(2022) Zijin Bai et al.   SENSORS

Desert Soil Salinity Inversion Models Based on Field In Situ Spectroscopy in Southern Xinjiang, China

(2022) Yu Wang et al.   Remote Sensing

Estimating Soil Organic Matter Content in Desert Areas Using In Situ Hyperspectral Data and Feature Variable Selection Algorithms in Southern Xinjiang, China

(2022) Peimin Yang et al.   Remote Sensing

Inversion study of soil organic matter content based on reflectance spectroscopy and the improved hybrid extreme learning machine

(2022) Dong Xiao et al.   INFRARED PHYSICS & TECHNOLOGY

Optimization of assembly sequence of building components based on simulated annealing genetic algorithm

(2022) Cong Liu et al.   Alexandria Engineering Journal

Predicting the contents of soil salt and major water-soluble ions with fractional-order derivative spectral indices and variable selection

(2021) Congcong Lao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Field spectroscopy of canopy nitrogen concentration in temperate grasslands using a convolutional neural network

(2021) R.R. Pullanagari et al.   REMOTE SENSING OF ENVIRONMENT

Prediction of various soil properties for a national spatial dataset of Scottish soils based on four different chemometric approaches: A comparison of near infrared and mid-infrared spectroscopy

(2021) R.K. Haghi et al.   GEODERMA

Estimation of soil organic matter content based on CARS algorithm coupled with random forest

(2021) Jinbao Liu et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Hyperspectral monitor of soil chromium contaminant based on deep learning network model in the Eastern Junggar coalfield

(2021) Yuan Wang et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Deep learning with small datasets: using autoencoders to address limited datasets in construction management

(2021) Juan Manuel Davila Delgado et al.   APPLIED SOFT COMPUTING

Quantitative estimation of soil properties using hybrid features and RNN variants

(2021) Simranjit Singh et al.   CHEMOSPHERE

A method combining FTIR-ATR and Raman spectroscopy to determine soil organic matter: Improvement of prediction accuracy using competitive adaptive reweighted sampling (CARS)

(2021) Zhe Xing et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Soil profile analysis using interactive visualizations, machine learning, and deep learning

(2021) Vung Pham et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Soil properties: Their prediction and feature extraction from the LUCAS spectral library using deep convolutional neural networks

(2021) Liang Zhong et al.   GEODERMA

Achieving joint calibration of soil Vis-NIR spectra across instruments, soil types and properties by an attention-based spectra encoding-spectra/property decoding architecture

(2021) Tong Lei et al.   GEODERMA

Soil Moisture Retrieval Using Microwave Remote Sensing Data and a Deep Belief Network in the Naqu Region of the Tibetan Plateau

(2021) Zhihui Yang et al.   Sustainability

Estimation of soil organic matter content using selected spectral subset of hyperspectral data

(2021) Weichao Sun et al.   GEODERMA

Planetary gearbox spectral modeling based on the hybrid method of dynamics and LSTM

(2020) Ruo-Bin Sun et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Comparing laboratory and airborne hyperspectral data for the estimation and mapping of topsoil organic carbon: Feature selection coupled with random forest

(2020) Yongsheng Hong et al.   SOIL & TILLAGE RESEARCH

Combination of Convolutional Neural Networks and Recurrent Neural Networks for predicting soil properties using Vis–NIR spectroscopy

(2020) Jiechao Yang et al.   GEODERMA

Variation of soil organic carbon and physical properties in relation to land uses in the Yellow River Delta, China

(2020) Shuying Jiao et al.   Scientific Reports

Application of VIS-NIR spectroscopy for estimation of soil organic carbon using different spectral preprocessing techniques and multivariate methods in the middle Indo-Gangetic plains of India

(2020) Seema et al.   Geoderma Regional

DeepSpectra: An end-to-end deep learning approach for quantitative spectral analysis

(2019) Xiaolei Zhang et al.   ANALYTICA CHIMICA ACTA

Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data

(2019) Linjing Zhang et al.   Remote Sensing

Estimation of soil properties from the EU spectral library using long short-term memory networks

(2019) Simranjit Singh et al.   Geoderma Regional

Convolutional neural network for simultaneous prediction of several soil properties using visible/near-infrared, mid-infrared, and their combined spectra

(2019) Wartini Ng et al.   GEODERMA

A remote sensing adapted approach for soil organic carbon prediction based on the spectrally clustered LUCAS soil database

(2019) Kathrin J. Ward et al.   GEODERMA

An adapted ant colony optimization algorithm for the minimization of the travel distance of pickers in manual warehouses

(2018) Roberta De Santis et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Estimating soil salinity from remote sensing and terrain data in southern Xinjiang Province, China

(2018) Jie Peng et al.   GEODERMA

Transfer Learning for Soil Spectroscopy Based on Convolutional Neural Networks and Its Application in Soil Clay Content Mapping Using Hyperspectral Imagery

(2018) Lanfa Liu et al.   SENSORS

Application of fractional-order derivative in the quantitative estimation of soil organic matter content through visible and near-infrared spectroscopy

(2018) Yongsheng Hong et al.   GEODERMA

More Data or a Better Model? Figuring Out What Matters Most for the Spatial Prediction of Soil Carbon

(2017) P.D.S.N. Somarathna et al.   SOIL SCIENCE SOCIETY OF AMERICA JOURNAL

Application of portable XRF and VNIR sensors for rapid assessment of soil heavy metal pollution

(2017) Bifeng Hu et al.   PLoS One

The model adaptive space shrinkage (MASS) approach: a new method for simultaneous variable selection and outlier detection based on model population analysis

(2016) Ming Wen et al.   ANALYST

A social learning particle swarm optimization algorithm for scalable optimization

(2015) Ran Cheng et al.   INFORMATION SCIENCES

A strategy that iteratively retains informative variables for selecting optimal variable subset in multivariate calibration

(2013) Yong-Huan Yun et al.   ANALYTICA CHIMICA ACTA

An efficient method of wavelength interval selection based on random frog for multivariate spectral calibration

(2013) Yong-Huan Yun et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration

(2009) Hongdong Li et al.   ANALYTICA CHIMICA ACTA