Predicting and mapping of soil organic carbon using machine learning algorithms in Northern Iran
Estimation of the soil organic carbon (SOC) content is of utmost importance in understanding
the chemical, physical, and biological functions of the soil. This study proposes machine …
the chemical, physical, and biological functions of the soil. This study proposes machine …
Modelling and mapping soil organic carbon stocks under future climate change in south-eastern Australia
Soil organic carbon (SOC) plays a key role in the sequestration of carbon that could
otherwise be warming the atmosphere. Climate change including increased temperature …
otherwise be warming the atmosphere. Climate change including increased temperature …
[HTML][HTML] Integrating additional spectroscopically inferred soil data improves the accuracy of digital soil mapping
Digital soil mapping has been increasingly advocated as an efficient approach to deliver fine-
resolution and up-to-date soil information in evaluating soil ecosystem services. Considering …
resolution and up-to-date soil information in evaluating soil ecosystem services. Considering …
Synergetic use of multi-temporal Sentinel-1, Sentinel-2, NDVI, and topographic factors for estimating soil organic carbon
Soil organic carbon (SOC) is a reliable indicator of soil productivity and land management.
Despite the widespread use of remote sensing data in estimating SOC variation, the …
Despite the widespread use of remote sensing data in estimating SOC variation, the …
Spatio-temporal dynamic of soil quality in the central Iranian desert modeled with machine learning and digital soil assessment techniques
H Fathizad, MAH Ardakani, B Heung… - Ecological …, 2020 - Elsevier
Soil degradation reduces soil quality by a loss of organic matter, reduced soil fertility, and
structural breakdown, erosion, undesirable changes in salinity, acidity or alkalinity and the …
structural breakdown, erosion, undesirable changes in salinity, acidity or alkalinity and the …
Digital mapping of agricultural soil organic carbon using soil forming factors: a review of current efforts at the regional and national scales
To explore how well large spatial scale digital soil mapping can contribute to efforts to
monitor soil organic carbon (SOC) stocks and changes, we reviewed regional and national …
monitor soil organic carbon (SOC) stocks and changes, we reviewed regional and national …
Soil organic carbon fractions in the Great Plains of the United States: an application of mid-infrared spectroscopy
Spectroscopy is a powerful means of increasing the availability of soil data necessary for
understanding carbon cycling in a changing world. Here, we develop a calibration transfer …
understanding carbon cycling in a changing world. Here, we develop a calibration transfer …
The effectiveness of digital soil mapping with temporal variables in modeling soil organic carbon changes
RM Yang, LA Liu, X Zhang, RX He, CM Zhu, ZQ Zhang… - Geoderma, 2022 - Elsevier
The effectiveness of using changes in environmental conditions to explain the
spatiotemporal variability in soil organic carbon (SOC) with digital soil mapping (DSM) …
spatiotemporal variability in soil organic carbon (SOC) with digital soil mapping (DSM) …
Dynamic modeling of topsoil organic carbon and its scenarios forecast in global Mollisols regions
Y Bao, F Yao, X Meng, J Fan, J Zhang, H Liu… - Journal of Cleaner …, 2023 - Elsevier
Global Mollisols regions play crucial roles in maintaining world food security, performing
ecosystem services and global carbon cycling. Little is known about the spatial and temporal …
ecosystem services and global carbon cycling. Little is known about the spatial and temporal …
Loss of organic carbon in suburban soil upon urbanization of Chengdu megacity, China
Urbanization is progressing rapidly. It can affect soils ecosystem services directly through
land management and indirectly through changes in the socioeconomic environment, which …
land management and indirectly through changes in the socioeconomic environment, which …