Recent progress and future prospect of digital soil map**: A review
GL Zhang, LIU Feng, XD Song - Journal of integrative agriculture, 2017 - Elsevier
To deal with the global and regional issues including food security, climate change, land
degradation, biodiversity loss, water resource management, and ecosystem health, detailed …
degradation, biodiversity loss, water resource management, and ecosystem health, detailed …
A map of the topsoil organic carbon content of Europe generated by a generalized additive model
D de Brogniez, C Ballabio, A Stevens… - European Journal of …, 2015 - Wiley Online Library
There is an increasing demand for up‐to‐date soil organic carbon (OC) data for global
environmental and climatic modelling. The aim of this study was to create a map of topsoil …
environmental and climatic modelling. The aim of this study was to create a map of topsoil …
A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and map** soil organic carbon stocks across an …
K Were, DT Bui, ØB Dick, BR Singh - Ecological Indicators, 2015 - Elsevier
Soil organic carbon (SOC) is a key indicator of ecosystem health, with a great potential to
affect climate change. This study aimed to develop, evaluate, and compare the performance …
affect climate change. This study aimed to develop, evaluate, and compare the performance …
Climate warming over the past half century has led to thermal degradation of permafrost on the Qinghai–Tibet Plateau
Air temperature increases thermally degrade permafrost, which has widespread impacts on
engineering design, resource development, and environmental protection in cold regions …
engineering design, resource development, and environmental protection in cold regions …
Map** soil organic carbon stock by hyperspectral and time-series multispectral remote sensing images in low-relief agricultural areas
High-precision digital soil organic carbon (SOC) stocks map** is very important for
agricultural production management and global carbon cycle. The spatial heterogeneity of …
agricultural production management and global carbon cycle. The spatial heterogeneity of …
Spatial prediction of soil organic carbon using machine learning techniques in western Iran
Estimation of soil organic carbon (SOC) is very useful for accurate monitoring of carbon
sequestration. However, there are still significant gaps in the knowledge of SOC reserves in …
sequestration. However, there are still significant gaps in the knowledge of SOC reserves in …
Digital map** of soil organic matter for rubber plantation at regional scale: An application of random forest plus residuals kriging approach
PT Guo, MF Li, W Luo, QF Tang, ZW Liu, ZM Lin - Geoderma, 2015 - Elsevier
Soil organic matter (SOM) plays an important role in soil fertility and C cycle. Detailed
information about the spatial distribution of SOM is vital to effective management of soil …
information about the spatial distribution of SOM is vital to effective management of soil …
Regression kriging as a workhorse in the digital soil mapper's toolbox
H Keskin, S Grunwald - Geoderma, 2018 - Elsevier
Appropriate scale, justifiably reliable, categorical and continuous spatial soil information is
urgently needed to address environmental problems and ensure sustainability of ecosystem …
urgently needed to address environmental problems and ensure sustainability of ecosystem …
Estimating soil organic carbon stocks using different modelling techniques in the semi-arid rangelands of eastern Australia
Soil organic carbon (SOC) is pivotal for biological, chemical and physical processes and
provides vital information on changes in soil fertility and land degradation. Rangelands …
provides vital information on changes in soil fertility and land degradation. Rangelands …
Estimation of forest above-ground biomass by geographically weighted regression and machine learning with sentinel imagery
Accurate forest above-ground biomass (AGB) is crucial for sustaining forest management
and mitigating climate change to support REDD+ (reducing emissions from deforestation …
and mitigating climate change to support REDD+ (reducing emissions from deforestation …