A deep learning method to predict soil organic carbon content at a regional scale using satellite-based phenology variables

Classification of soil aggregates: A novel approach based on deep learning

(2020) Afshin Azizi et al.   SOIL & TILLAGE RESEARCH

The Generation of Soil Spectral Dynamic Feedback Using Landsat 8 Data for Digital Soil Mapping

(2020) Canying Zeng et al.   Remote Sensing

Revealing the scale- and location-specific controlling factors of soil organic carbon in Tibet

(2020) Yin Zhou et al.   GEODERMA

A self-training semi-supervised machine learning method for predictive mapping of soil classes with limited sample data

(2020) Lei Zhang et al.   GEODERMA

Remote Sensing Techniques for Soil Organic Carbon Estimation: A Review

(2019) Theodora Angelopoulou et al.   Remote Sensing

Deep learning and its application in geochemical mapping

(2019) Renguang Zuo et al.   EARTH-SCIENCE REVIEWS

High-resolution three-dimensional mapping of soil organic carbon in China: Effects of SoilGrids products on national modeling

(2019) Zongzheng Liang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: A review

(2019) Sushil Lamichhane et al.   GEODERMA

Long-term continuity in land surface phenology measurements: A comparative assessment of the MODIS land cover dynamics and VIIRS land surface phenology products

(2019) Minkyu Moon et al.   REMOTE SENSING OF ENVIRONMENT

Agricultural soil organic carbon stocks in the north-eastern Iberian Peninsula: Drivers and spatial variability

(2019) Inmaculada Funes et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area

(2019) Dieu Tien Bui et al.   SCIENCE OF THE TOTAL ENVIRONMENT

In-situ recommendation of alternative soil samples during field sampling based on environmental similarity

(2019) Tianwu Ma et al.   Earth Science Informatics

Exploring the driving forces and digital mapping of soil organic carbon using remote sensing and soil texture

(2019) Nikou Hamzehpour et al.   CATENA

Using deep learning for multivariate mapping of soil with quantified uncertainty

(2019) Alexandre M.J.-C. Wadoux   GEODERMA

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

Improving prediction of soil organic carbon content in croplands using phenological parameters extracted from NDVI time series data

(2019) Lin Yang et al.   SOIL & TILLAGE RESEARCH

An optimized model based on convolutional neural networks and orthogonal learning particle swarm optimization algorithm for plant diseases diagnosis

(2019) Ashraf Darwish et al.   Swarm and Evolutionary Computation

Evaluation of land surface phenology from VIIRS data using time series of PhenoCam imagery

(2018) Xiaoyang Zhang et al.   AGRICULTURAL AND FOREST METEOROLOGY

Role of environmental variables in the spatial distribution of soil carbon (C), nitrogen (N), and C:N ratio from the northeastern coastal agroecosystems in China

(2018) Shuai Wang et al.   ECOLOGICAL INDICATORS

Identification of representative samples from existing samples for digital soil mapping

(2018) Yiming An et al.   GEODERMA

Optimal hyperparameter tuning of convolutional neural networks based on the parameter-setting-free harmony search algorithm

(2018) Woo-Young Lee et al.   OPTIK

Maize carbon dynamics are driven by soil erosion state and plant phenology rather than nitrogen fertilization form

(2018) M. Hoffmann et al.   SOIL & TILLAGE RESEARCH

Machine-Learning Variables at Different Scales vs. Knowledge-based Variables for Mapping Multiple Soil Properties

(2018) Jingjing Shi et al.   SOIL SCIENCE SOCIETY OF AMERICA JOURNAL

Multi-scale digital soil mapping with deep learning

(2018) Thorsten Behrens et al.   Scientific Reports

Modelling the topsoil carbon stock of agricultural lands with the Stochastic Gradient Treeboost in a semi-arid Mediterranean region

(2017) Calogero Schillaci et al.   GEODERMA

Estimating temporal changes in soil carbon stocks at ecoregional scale in Madagascar using remote-sensing

(2017) C. Grinand et al.   International Journal of Applied Earth Observation and Geoinformation

Phenologic metrics derived from MODIS NDVI as indicators for Plant Available Water-holding Capacity

(2016) Sofanit Araya et al.   ECOLOGICAL INDICATORS

An heuristic uncertainty directed field sampling design for digital soil mapping

(2016) Shu-Jie Zhang et al.   GEODERMA

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

Managing uncertainty in soil carbon feedbacks to climate change

(2016) Mark A. Bradford et al.   Nature Climate Change

Deep learning

(2015) Yann LeCun et al.   NATURE

Amount, distribution and driving factors of soil organic carbon and nitrogen in cropland and grassland soils of southeast Germany (Bavaria)

(2013) Martin Wiesmeier et al.   AGRICULTURE ECOSYSTEMS & ENVIRONMENT

Spatial variation of soil carbon and nitrogen pools by using ordinary Kriging method in an area of north Nile Delta, Egypt

(2013) Heba Elbasiouny et al.   CATENA

Evaluation of the potential of MODIS satellite data to predict vegetation phenology in different biomes: An investigation using ground-based NDVI measurements

(2013) G. Hmimina et al.   REMOTE SENSING OF ENVIRONMENT

An integrative hierarchical stepwise sampling strategy for spatial sampling and its application in digital soil mapping

(2012) L. Yang et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Variability in surface BRDF at different spatial scales (30m–500m) over a mixed agricultural landscape as retrieved from airborne and satellite spectral measurements

(2011) Miguel O. Román et al.   REMOTE SENSING OF ENVIRONMENT

Land surface phenology from MODIS: Characterization of the Collection 5 global land cover dynamics product

(2010) Sangram Ganguly et al.   REMOTE SENSING OF ENVIRONMENT

Multi-criteria characterization of recent digital soil mapping and modeling approaches

(2009) S. Grunwald   GEODERMA

Spatial variation of tundra soil organic carbon along the coastline of northern Alaska

(2009) Fugen Dou et al.   GEODERMA

Small scale digital soil mapping in Southeastern Kenya

(2008) Alejandra Mora-Vallejo et al.   CATENA