Predicting and mapping of soil organic carbon using machine learning algorithms in Northern Iran

M Emadi, R Taghizadeh-Mehrjardi, A Cherati… - Remote Sensing, 2020 - mdpi.com
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 …

Modelling and mapping soil organic carbon stocks under future climate change in south-eastern Australia

B Wang, JM Gray, CM Waters, MR Anwar, SE Orgill… - Geoderma, 2022 - Elsevier
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 …

[HTML][HTML] Integrating additional spectroscopically inferred soil data improves the accuracy of digital soil mapping

S Chen, NPA Saby, MP Martin, BG Barthes, C Gomez… - Geoderma, 2023 - Elsevier
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 …

Synergetic use of multi-temporal Sentinel-1, Sentinel-2, NDVI, and topographic factors for estimating soil organic carbon

H Shafizadeh-Moghadam, F Minaei, H Talebi-khiyavi… - Catena, 2022 - Elsevier
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 …

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 …

Digital mapping of agricultural soil organic carbon using soil forming factors: a review of current efforts at the regional and national scales

Y Xia, K McSweeney, MM Wander - Frontiers in Soil Science, 2022 - frontiersin.org
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 …

Soil organic carbon fractions in the Great Plains of the United States: an application of mid-infrared spectroscopy

J Sanderman, JA Baldock, SRS Dangal, S Ludwig… - Biogeochemistry, 2021 - Springer
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 …

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) …

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 …

Loss of organic carbon in suburban soil upon urbanization of Chengdu megacity, China

Y Luo, J Shen, A Chen, Q Tao, Q Li, PJ White… - Science of the Total …, 2021 - Elsevier
Urbanization is progressing rapidly. It can affect soils ecosystem services directly through
land management and indirectly through changes in the socioeconomic environment, which …