Improvement of Clay and Sand Quantification Based on a Novel Approach with a Focus on Multispectral Satellite Images

A systematic study on the application of scatter-corrective and spectral-derivative preprocessing for multivariate prediction of soil organic carbon by Vis-NIR spectra

(2018) Andre Carnieletto Dotto et al.   GEODERMA

Geospatial Soil Sensing System (GEOS3): A powerful data mining procedure to retrieve soil spectral reflectance from satellite images

(2018) José Alexandre Melo Demattê et al.   REMOTE SENSING OF ENVIRONMENT

Sensitivity of clay content prediction to spectral configuration of VNIR/SWIR imaging data, from multispectral to hyperspectral scenarios

(2018) C. Gomez et al.   REMOTE SENSING OF ENVIRONMENT

Soil class and attribute dynamics and their relationship with natural vegetation based on satellite remote sensing

(2017) José A.M. Demattê et al.   GEODERMA

Predictive ability of soil properties to spectral degradation from laboratory Vis-NIR spectroscopy data

(2017) K.R.M. Adeline et al.   GEODERMA

Clay content mapping from airborne hyperspectral Vis-NIR data by transferring a laboratory regression model

(2017) M. Nouri et al.   GEODERMA

Using laboratory Vis-NIR spectroscopy for monitoring some forest soil properties

(2017) Massimo Conforti et al.   JOURNAL OF SOILS AND SEDIMENTS

Barest Pixel Composite for Agricultural Areas Using Landsat Time Series

(2017) et al.   Remote Sensing

Comparison of Multiple Linear Regression, Cubist Regression, and Random Forest Algorithms to Estimate Daily Air Surface Temperature from Dynamic Combinations of MODIS LST Data

(2017) Phan Noi et al.   Remote Sensing

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) Gerald Forkuor et al.   PLoS One

Machine learning based prediction of soil total nitrogen, organic carbon and moisture content by using VIS-NIR spectroscopy

(2016) Antonios Morellos et al.   BIOSYSTEMS ENGINEERING

Spatial prediction of soil surface texture in a semiarid region using random forest and multiple linear regressions

(2016) César da Silva Chagas et al.   CATENA

A global spectral library to characterize the world's soil

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

Digital mapping of soil carbon in a viticultural region of Southern Brazil

(2016) Benito R. Bonfatti et al.   GEODERMA

Mapeamento digital de areia, argila e carbono orgânico por modelos Random Forest sob diferentes resoluções espaciais

(2016) Silvio Barge Bhering et al.   PESQUISA AGROPECUARIA BRASILEIRA

Mapping soil carbon, particle-size fractions, and water retention in tropical dry forest in Brazil

(2016) Gustavo Mattos Vasques et al.   PESQUISA AGROPECUARIA BRASILEIRA

Evaluation of the potential of the current and forthcoming multispectral and hyperspectral imagers to estimate soil texture and organic carbon

(2016) Fabio Castaldi et al.   REMOTE SENSING OF ENVIRONMENT

Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography

(2016) Jean Michel Moura-Bueno et al.   REVISTA BRASILEIRA DE CIENCIA DO SOLO

Estimating the soil clay content and organic matter by means of different calibration methods of vis-NIR diffuse reflectance spectroscopy

(2016) Said Nawar et al.   SOIL & TILLAGE RESEARCH

Estimation of Clay and Soil Organic Carbon Using Visible and Near-Infrared Spectroscopy and Unground Samples

(2016) Changkun Wang et al.   SOIL SCIENCE SOCIETY OF AMERICA JOURNAL

Synergistic Use of Vis-NIR, MIR, and XRF Spectroscopy for the Determination of Soil Geochemistry

(2016) S.M. O’Rourke et al.   SOIL SCIENCE SOCIETY OF AMERICA JOURNAL

Remote Sensing from Ground to Space Platforms Associated with Terrain Attributes as a Hybrid Strategy on the Development of a Pedological Map

(2016) José Demattê et al.   Remote Sensing

Tropical Texture Determination by Proximal Sensing Using a Regional Spectral Library and Its Relationship with Soil Classification

(2016) Marilusa Lacerda et al.   Remote Sensing

An approach for delineating homogeneous within-field zones using proximal sensing and multivariate geostatistics

(2015) Carla Landrum et al.   AGRICULTURAL WATER MANAGEMENT

Integrating geospatial and multi-depth laboratory spectral data for mapping soil classes in a geologically complex area in southeastern Brazil

(2015) G. M. Vasques et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Predicting clay content on field-moist intact tropical soils using a dried, ground VisNIR library with external parameter orthogonalization

(2015) Jason P. Ackerson et al.   GEODERMA

Assessment of soil texture class on agricultural fields using ECa, Amber NDVI, and topographic properties

(2015) Michał Stępień et al.   JOURNAL OF PLANT NUTRITION AND SOIL SCIENCE

Estimating a Soil Quality Index with VNIR Reflectance Spectroscopy

(2015) Kristen S. Veum et al.   SOIL SCIENCE SOCIETY OF AMERICA JOURNAL

Soil Clay Content Mapping Using a Time Series of Landsat TM Data in Semi-Arid Lands

(2015) Marouen Shabou et al.   Remote Sensing

Spectral pedology: A new perspective on evaluation of soils along pedogenetic alterations

(2014) José A.M. Demattê et al.   GEODERMA

Köppen's climate classification map for Brazil

(2014) Clayton Alcarde Alvares et al.   METEOROLOGISCHE ZEITSCHRIFT

Abordagens semiquantitativa e quantitativa na avaliação da textura do solo por espectroscopia de reflectância bidirecional no VIS-NIR-SWIR

(2014) Marston Héracles Domingues Franceschini et al.   PESQUISA AGROPECUARIA BRASILEIRA

Morphological Interpretation of Reflectance Spectrum (MIRS) using libraries looking towards soil classification

(2014) José Alexandre Melo Demattê et al.   SCIENTIA AGRICOLA

Evaluation of Landsat TM5 Multispectral Data for Automated Mapping of Surface Soil Texture and Organic Matter in GIS

(2014) Zaheer Ahmed et al.   European Journal of 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

Estimation of agricultural soil properties with imaging and laboratory spectroscopy

(2013) Tingting Zhang et al.   Journal of Applied Remote Sensing

Building predictive models of soil particle-size distribution

(2013) Alessandro Samuel-Rosa et al.   REVISTA BRASILEIRA DE CIENCIA DO SOLO

Regional predictions of eight common soil properties and their spatial structures from hyperspectral Vis–NIR data

(2012) Cécile Gomez et al.   GEODERMA

Fine-resolution multiscale mapping of clay minerals in Australian soils measured with near infrared spectra

(2011) R. A. Viscarra Rossel   JOURNAL OF GEOPHYSICAL RESEARCH

Digitally mapping the information content of visible–near infrared spectra of surficial Australian soils

(2011) R.A. Viscarra Rossel et al.   REMOTE SENSING OF ENVIRONMENT

Measuring soil organic carbon in croplands at regional scale using airborne imaging spectroscopy

(2010) Antoine Stevens et al.   GEODERMA

Critical review of chemometric indicators commonly used for assessing the quality of the prediction of soil attributes by NIR spectroscopy

(2010) Véronique Bellon-Maurel et al.   TRAC-TRENDS IN ANALYTICAL CHEMISTRY

Diferenciação espectral de solos utilizando dados obtidos em laboratório e por sensor orbital

(2010) Peterson Ricardo Fiorio et al.   BRAGANTIA

Using Imaging Spectroscopy to study soil properties

(2009) E. Ben-Dor et al.   REMOTE SENSING OF ENVIRONMENT

Prediction of soil property distribution in paddy soil landscapes using terrain data and satellite information as indicators

(2007) Kay Sumfleth et al.   ECOLOGICAL INDICATORS