Digital soil mapping algorithms and covariates for soil organic carbon mapping and their implications: A review
This article reviews the current research and applications of various digital soil mapping
(DSM) techniques used to map Soil Organic Carbon (SOC) concentration and stocks …
(DSM) techniques used to map Soil Organic Carbon (SOC) concentration and stocks …
A review on digital mapping of soil carbon in cropland: progress, challenge, and prospect
Cropland soil carbon not only serves food security but also contributes to the stability of the
terrestrial ecosystem carbon pool due to the strong interconnection with atmospheric carbon …
terrestrial ecosystem carbon pool due to the strong interconnection with atmospheric carbon …
A quantitative analysis of factors influencing organic matter concentration in the topsoil of black soil in northeast China based on spatial heterogeneous patterns
Black soil is fertile, abundant with organic matter (OM) and is exceptional for farming. The
black soil zone in northeast China is the third-largest black soil zone globally and produces …
black soil zone in northeast China is the third-largest black soil zone globally and produces …
Predictive mapping of soil organic carbon in Northeast Algeria
Soils of semi-arid climates undergo organic carbon loss, which in turn affects their
agricultural potential. Geostatistics is often used as an interpolation tool to thoroughly …
agricultural potential. Geostatistics is often used as an interpolation tool to thoroughly …
Spatiotemporal variations in soil organic carbon and their drivers in southeastern China during 1981-2011
Understanding the spatiotemporal distribution of soil organic carbon (SOC) and its
controlling factors is extremely important for improving soil quality and developing …
controlling factors is extremely important for improving soil quality and developing …
Spatial modelling of topsoil properties in Romania using geostatistical methods and machine learning
Various research topics from the field of soil science or agriculture require digital maps of
soil properties as input data. Such maps can be achieved by digital soil mapping (DSM) …
soil properties as input data. Such maps can be achieved by digital soil mapping (DSM) …
[HTML][HTML] Modelling and mapping Soil Organic Carbon in annual cropland under different farm management systems in the Apulia region of Southern Italy
Abstract Soil Organic Carbon (SOC) plays a crucial role in many soil functions and
ecosystem services. Monitoring its spatial and temporal changes is essential for planning …
ecosystem services. Monitoring its spatial and temporal changes is essential for planning …
Using machine learning algorithms based on GF-6 and Google Earth engine to predict and map the spatial distribution of soil organic matter content
Z Ye, Z Sheng, X Liu, Y Ma, R Wang, S Ding, M Liu, Z Li… - Sustainability, 2021 - mdpi.com
The prediction of soil organic matter is important for measuring the soil's environmental
quality and the degree of degradation. In this study, we combined China's GF-6 remote …
quality and the degree of degradation. In this study, we combined China's GF-6 remote …
Digital soil assessment of soil fertility for Thai jasmine rice in the Thung Kula Ronghai region, Thailand
S Srisomkiew, M Kawahigashi, P Limtong, O Yuttum - Geoderma, 2022 - Elsevier
Digital soil assessment (DSA) is an application for the interpretation of digital soil mapping
(DSM) outputs for evaluating soil and related environmental factors. However, DSA has not …
(DSM) outputs for evaluating soil and related environmental factors. However, DSA has not …
Combining Multitemporal Sentinel-2A Spectral Imaging and Random Forest to Improve the Accuracy of Soil Organic Matter Estimates in the Plough Layer for …
L Wang, Y Zhou - Agriculture, 2022 - mdpi.com
Soil organic matter (SOM) is vital for assessing the quality of arable land. A fast and reliable
estimation of SOM is important to predict the soil carbon stock in cropland. In this study, we …
estimation of SOM is important to predict the soil carbon stock in cropland. In this study, we …