Machine learning in modelling the urban thermal field variance index and assessing the impacts of urban land expansion on seasonal thermal environment

M Zhang, S Tan, C Zhang, E Chen - Sustainable Cities and Society, 2024 - Elsevier
Land use practices in urban areas exert a profound influence on the urban thermal
environment and the pursuit of sustainable development. This paper aims to investigate and …

Beyond environmental sustainability: Low‐carbon land use policies can contribute to the realization of comprehensive sustainable development

K Liu, P Cheng, A Zhang, S Qin… - Sustainable …, 2024 - Wiley Online Library
In the context of climate change and sustainable development, there has been numerous
researches studying the influence of land use policies on carbon sequestration. However …

A high-resolution map of soil organic carbon in cropland of Southern China

B Hu, M ** the soil C: N ratio at the European scale by combining multi-year Sentinel radar and optical data via cloud computing
X Wang, Y Geng, T Zhou, Y Zhao, H Li, Y Liu, H Li… - Soil and Tillage …, 2025 - Elsevier
Spatial information on the soil carbon-to-nitrogen (C: N) ratio is essential for sustainable soil
use and management. The unprecedented availability of Sentinel optical and radar data on …

An application of machine-learning model for analyzing the impact of land-use change on surface water resources in Gauteng Province, South Africa

E Gidey, P Mhangara - Remote Sensing, 2023 - mdpi.com
The change in land-use diversity is attributed to the anthropogenic factors sustaining life.
The surface water bodies and other crucial natural resources in the study area are being …

Incorporating forest canopy openness and environmental covariates in predicting soil organic carbon in oak forest

L Su, M Heydari, MS Jaafarzadeh, SR Mousavi… - Soil and Tillage …, 2024 - Elsevier
The historical conversion of forests to rainfed agricultural lands in the semi-arid forest
ecosystems is one of the primary sources of human-induced, greenhouse gas emission and …

Remote sensing of depth-induced variations in soil organic carbon stocks distribution within different vegetated landscapes

O Odebiri, O Mutanga, J Odindi, R Slotow… - Catena, 2024 - Elsevier
The preservation and augmentation of soil organic carbon (SOC) stocks is critical to
designing climate change mitigation strategies and alleviating global warming. However …

Spatial optimization of land use and carbon storage prediction in urban agglomerations under climate change: Different scenarios and multiscale perspectives of …

H Wu, Y Yang, W Li - Sustainable Cities and Society, 2024 - Elsevier
Land use/land cover (LULC) structure optimization can effectively increase carbon
storage/carbon sequestration (CS) and help realize carbon neutrality goals 1. Studying the …

Spatial and temporal evolution of soil organic matter and its response to dynamic factors in the Southern part of Black Soil Region of Northeast China

X Liu, M Wang, Z Liu, X Li, X Ji, F Wang - Soil and Tillage Research, 2025 - Elsevier
Soil organic matter content (SOMC) is decreasing in the Black Soil Region of Northeast
China (BSRNC) due to the combined impacts of prolonged agricultural reclamation, climate …

Historical and future dynamics of cropland soil organic carbon stocks in an intensive human-impacted area of southeastern China

E **e, J Chen, Y Peng, G Yan, Y Zhao - Agriculture, Ecosystems & …, 2024 - Elsevier
The dynamics of soil organic carbon stocks (SOCS) in croplands are highly sensitive to
agricultural management practices, representing a crucial component of soil fertility and …