Soil Organic Carbon Mapping Using LUCAS Topsoil Database and Sentinel-2 Data: An Approach to Reduce Soil Moisture and Crop Residue Effects

Sampling Strategies for Soil Property Mapping Using Multispectral Sentinel-2 and Hyperspectral EnMAP Satellite Data

(2019) Fabio Castaldi et al.   Remote Sensing

Retrieval of soil salinity from Sentinel-2 multispectral imagery

(2019) Mohammad Mahdi Taghadosi et al.   European Journal of Remote Sensing

Imaging Spectroscopy for Soil Mapping and Monitoring

(2019) S. Chabrillat et al.   SURVEYS IN GEOPHYSICS

Sentinel-2 image capacities to predict common topsoil properties of temperate and Mediterranean agroecosystems

(2019) E. Vaudour et al.   REMOTE SENSING OF ENVIRONMENT

Factors controlling the variation in organic carbon stocks in agricultural soils of Germany

(2019) C. Vos et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Stratigraphy and age of colluvial deposits indicating Late Holocene soil erosion in northeastern Germany

(2018) Christoph Kappler et al.   CATENA

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

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

Building an exposed soil composite processor (SCMaP) for mapping spatial and temporal characteristics of soils with Landsat imagery (1984–2014)

(2018) Derek Rogge et al.   REMOTE SENSING OF ENVIRONMENT

Soil Organic Carbon Estimation in Croplands by Hyperspectral Remote APEX Data Using the LUCAS Topsoil Database

(2018) Fabio Castaldi et al.   Remote Sensing

Soil organic carbon and texture retrieving and mapping using proximal, airborne and Sentinel-2 spectral imaging

(2018) Asa Gholizadeh et al.   REMOTE SENSING OF ENVIRONMENT

Visible–Near-Infrared Spectroscopy can predict Mass Transport of Dissolved Chemicals through Intact Soil

(2018) Sheela Katuwal et al.   Scientific Reports

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

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

(2017) M. Nouri et al.   GEODERMA

Prediction of Common Surface Soil Properties Based on Vis-NIR Airborne and Simulated EnMAP Imaging Spectroscopy Data: Prediction Accuracy and Influence of Spatial Resolution

(2016) Andreas Steinberg et al.   Remote Sensing

Estimation of Soil Moisture Content from the Spectral Reflectance of Bare Soils in the 0.4–2.5 µm Domain

(2015) Sophie Fabre et al.   SENSORS

Organic Matter Modeling at the Landscape Scale Based on Multitemporal Soil Pattern Analysis Using RapidEye Data

(2015) Gerald Blasch et al.   Remote Sensing

Reducing the Influence of Soil Moisture on the Estimation of Clay from Hyperspectral Data: A Case Study Using Simulated PRISMA Data

(2015) Fabio Castaldi et al.   Remote Sensing

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

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

(2012) Cécile Gomez et al.   GEODERMA

Prediction of soil organic carbon for different levels of soil moisture using Vis-NIR spectroscopy

(2012) Marco Nocita et al.   GEODERMA

A Network of Terrestrial Environmental Observatories in Germany

(2011) Steffen Zacharias et al.   VADOSE ZONE JOURNAL

Using data mining to model and interpret soil diffuse reflectance spectra

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

Surface soil moisture quantification models from reflectance data under field conditions

(2007) S.‐N. Haubrock et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING