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

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

Simultaneous prediction of soil properties from VNIR-SWIR spectra using a localized multi-channel 1-D convolutional neural network

(2020) Nikolaos L. Tsakiridis et al.   GEODERMA

Deep learning in environmental remote sensing: Achievements and challenges

(2020) Qiangqiang Yuan et al.   REMOTE SENSING OF ENVIRONMENT

An integrated methodology using open soil spectral libraries and Earth Observation data for soil organic carbon estimations in support of soil-related SDGs

(2020) Nikolaos Tziolas et al.   REMOTE SENSING OF ENVIRONMENT

Transfer learning to localise a continental soil vis-NIR calibration model

(2019) J. Padarian et al.   GEODERMA

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

Estimation of soil organic carbon in arable soil in Belgium and Luxembourg with the LUCAS topsoil database

(2018) F. Castaldi et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Internal soil standard method for the Brazilian soil spectral library: Performance and proximate analysis

(2018) Danilo Jefferson Romero 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

Building soil spectral library of the Czech soils for quantitative digital soil mapping

(2018) L. Brodský et al.   Soil and Water Research

Spectral features extraction for estimation of soil total nitrogen content based on modified ant colony optimization algorithm

(2018) Yao Zhang et al.   GEODERMA

Evaluating the capability of the Sentinel 2 data for soil organic carbon prediction in croplands

(2018) Fabio Castaldi et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Transferability and Scalability of Soil Total Carbon Prediction Models in Florida, USA

(2018) Sabine GRUNWALD et al.   PEDOSPHERE

LUCAS Soil, the largest expandable soil dataset for Europe: a review

(2017) A. Orgiazzi et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

(2017) Xiao Xiang Zhu et al.   IEEE Geoscience and Remote Sensing Magazine

A global spectral library to characterize the world's soil

(2016) R.A. Viscarra Rossel et al.   EARTH-SCIENCE REVIEWS

Do we really need large spectral libraries for local scale SOC assessment with NIR spectroscopy?

(2016) César Guerrero et al.   SOIL & TILLAGE RESEARCH

Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art

(2016) Liangpei Zhang et al.   IEEE Geoscience and Remote Sensing Magazine

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep Convolutional Neural Networks for Hyperspectral Image Classification

(2015) Wei Hu et al.   Journal of Sensors

Improving the prediction performance of a large tropical vis-NIR spectroscopic soil library from Brazil by clustering into smaller subsets or use of data mining calibration techniques

(2014) S. R. Araújo et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations

(2014) Zhou Shi et al.   Science China-Earth Sciences

Quantification of SOC and Clay Content Using Visible Near-Infrared Reflectance–Mid-Infrared Reflectance Spectroscopy With Jack-Knifing Partial Least Squares Regression

(2014) Yi Peng et al.   SOIL SCIENCE

The LUCAS topsoil database and derived information on the regional variability of cropland topsoil properties in the European Union

(2013) Gergely Tóth et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Prediction of Soil Organic Carbon at the European Scale by Visible and Near InfraRed Reflectance Spectroscopy

(2013) Antoine Stevens et al.   PLoS One

Prediction of soil organic carbon content by diffuse reflectance spectroscopy using a local partial least square regression approach

(2013) Marco Nocita et al.   SOIL BIOLOGY & BIOCHEMISTRY

Predicting soil properties from the Australian soil visible-near infrared spectroscopic database

(2012) R. A. Viscarra Rossel et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

VIS-NIR reflectance spectroscopy of the organic matter in several types of soils

(2012) Wen-Jun JI et al.   JOURNAL OF INFRARED AND MILLIMETER WAVES

Optimization criteria in sample selection step of local regression for quantitative analysis of large soil NIRS database

(2011) F. Gogé et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Increased sample point density in farm soil mapping by local calibration of visible and near infrared prediction models

(2010) Johanna Wetterlind et al.   GEODERMA

Using data mining to model and interpret soil diffuse reflectance spectra

(2010) R.A. Viscarra Rossel et al.   GEODERMA

Visible-near infrared reflectance spectroscopy for assessment of soil properties in a semi-arid area of Turkey

(2009) A. Volkan Bilgili et al.   JOURNAL OF ARID ENVIRONMENTS

Digital Soil Map of the World

(2009) P. A. Sanchez et al.   SCIENCE