Spatial prediction of soil organic matter content using multiyear synthetic images and partitioning algorithms

Improved digital soil mapping with multitemporal remotely sensed satellite data fusion: A case study in Iran

(2020) Solmaz Fathololoumi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Regional soil organic carbon prediction model based on a discrete wavelet analysis of hyperspectral satellite data

(2020) Xiangtian Meng et al.   International Journal of Applied Earth Observation and Geoinformation

Mapping the fallowed area of paddy fields on Sanjiang Plain of Northeast China to assist water security assessments

(2020) Chong LUO et al.   Journal of Integrative Agriculture

Vis-SWIR spectral prediction model for soil organic matter with different grouping strategies

(2020) Yilin Bao et al.   CATENA

Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison

(2020) Nélida Elizabet Quiñonez Silvero et al.   REMOTE SENSING OF ENVIRONMENT

Estimating forest soil organic carbon content using vis-NIR spectroscopy: Implications for large-scale soil carbon spectroscopic assessment

(2019) Shangshi Liu 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

Hyper-temporal remote sensing data in bare soil period and terrain attributes for digital soil mapping in the Black soil regions of China

(2019) Haoxuan Yang et al.   CATENA

Prediction of soil organic matter using multi-temporal satellite images in the Songnen Plain, China

(2019) Xin Dou et al.   GEODERMA

Soil Organic Carbon Mapping Using Multispectral Remote Sensing Data: Prediction Ability of Data with Different Spatial and Spectral Resolutions

(2019) Daniel Žížala et al.   Remote Sensing

Variability and determinants of soil organic matter under different land uses and soil types in eastern China

(2019) Manman Fan et al.   SOIL & TILLAGE RESEARCH

Allocate soil individuals to soil classes with topsoil spectral characteristics and decision trees

(2018) Xiaokang Zhang 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

Atmospheric Correction Inter-Comparison Exercise

(2018) Georgia Doxani et al.   Remote Sensing

Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping

(2018) Patrick Griffiths et al.   REMOTE SENSING OF ENVIRONMENT

Soil organic matter as sole indicator of soil degradation

(2017) S.E. Obalum et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Assessing soil organic matter of reclaimed soil from a large surface coal mine using a field spectroradiometer in laboratory

(2017) Nisha Bao et al.   GEODERMA

Examination of Sentinel-2A multi-spectral instrument (MSI) reflectance anisotropy and the suitability of a general method to normalize MSI reflectance to nadir BRDF adjusted reflectance

(2017) David P. Roy et al.   REMOTE SENSING OF ENVIRONMENT

Cloud detection algorithm comparison and validation for operational Landsat data products

(2017) Steve Foga et al.   REMOTE SENSING OF ENVIRONMENT

Google Earth Engine: Planetary-scale geospatial analysis for everyone

(2017) Noel Gorelick et al.   REMOTE SENSING OF ENVIRONMENT

Barest Pixel Composite for Agricultural Areas Using Landsat Time Series

(2017) et al.   Remote Sensing

Remote estimation of soil organic matter content in the Sanjiang Plain, Northest China: The optimal band algorithm versus the GRA-ANN model

(2016) Xiuliang Jin et al.   AGRICULTURAL AND FOREST METEOROLOGY

Regional prediction of soil organic carbon content over temperate croplands using visible near-infrared airborne hyperspectral imagery and synchronous field spectra

(2016) E. Vaudour et al.   International Journal of Applied Earth Observation and Geoinformation

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

Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine

(2016) Jinwei Dong et al.   REMOTE SENSING OF ENVIRONMENT

Laboratory-based Vis–NIR spectroscopy and partial least square regression with spatially correlated errors for predicting spatial variation of soil organic matter content

(2015) Massimo Conforti et al.   CATENA

Prediction of soil organic matter using a spatially constrained local partial least squares regression and the Chinese vis-NIR spectral library

(2015) Z. Shi et al.   EUROPEAN JOURNAL OF SOIL SCIENCE

Improvement and expansion of the Fmask algorithm: cloud, cloud shadow, and snow detection for Landsats 4–7, 8, and Sentinel 2 images

(2015) Zhe Zhu et al.   REMOTE SENSING OF ENVIRONMENT

Conducting Meta-Analyses inRwith themetaforPackage

(2015) Wolfgang Viechtbauer   Journal of Statistical Software

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

Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services

(2012) M. Drusch et al.   REMOTE SENSING OF ENVIRONMENT

Persistence of soil organic matter as an ecosystem property

(2011) Michael W. I. Schmidt et al.   NATURE

Novel hyperspectral reflectance models for estimating black-soil organic matter in Northeast China

(2008) Huanjun Liu et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT