Abstract Machine learning (ML) has proven to be a powerful tool for utilizing the rapidly
increasing amounts of remote sensing data for environmental monitoring. Yet ML models …

There is a need to update soil maps and monitor soil organic carbon (SOC) in the upper
horizons or plough layer for enabling decision support and land management, while …

Abstract Knowledge of the soil organic carbon (SOC) content is critical for environmental
sustainability and carbon neutrality. With the development of remote sensing data and …

Abstract Visible-to-near-infrared (vis–NIR) and mid-infrared (MIR) spectroscopy have been
widely utilized for the quantitative estimation of soil organic carbon (SOC). The fusion of vis …

Conservation tillage practices can bring benefits to agricultural sustainability. Accurate
spatial and temporal resolved information of field-scale crop residue cover, which reflects …

Topsoil arsenic (As) contamination threatens the ecological environment and human health.
However, traditional methods for As identification rely on on-site sampling and chemical …

Greenbelts around roads are an essential part of the ecosystem that can reduce heavy metal
contamination from traffic and contribute to sustainable development. However, only limited …

Abstract Long Short-Term Memory (LSTM) has recently emerged as a crucial tool for
scientific research in hydrology and water resources. Despite its widespread use, a …

Map** of soil organic matter (SOM) in cultivated land is one of the important aspects of
digital soil map**, and its results are of great significance for agricultural precision …

Soil organic carbon (SOC) plays an important role in soil functioning and also global C
balance. Visible-near-infrared (Vis-NIR) spectroscopy can be regarded as a cost-effective …