Studies on develo** strategies to predict the stability and performance of the composting
process have increased in recent years. Machine learning (ML) has focused on process …

Organic solid waste (OSW) is not only a major source of environmental contamination, but
also a vast store of useful materials due to its high concentration of biodegradable …

The ecological resistance surfaces (ERS) are a critical component in constructing the
Ecological Security Pattern (ESP) and reflects the ecological security level of a region …

Rapid technological development opens up new opportunities for assessing ecosystem
services (ES), which may help to overcome current knowledge gaps and limitations in data …

Abstract Satellite-based Machine Learning (ML) modelling has emerged as a powerful tool
to understand and quantify spatial relationships between landscape dynamics, biophysical …

It is important to simulate urban ecosystem services and provide guidance for their
conservation and management under complex scenarios. We developed software for the …

Abstract The Millennium Ecosystem Assessment report was a milestone that placed the
concepts of Ecosystem Services (ES) and Disservices (EDS) on the research and policy …

Understanding the marginal characteristics of ecosystem services (ESs) is crucial for
sustainable management. However, there is limited research on quantifying thresholds for …

Recent advancements in deep learning have spurred the development of numerous novel
semantic segmentation models for land cover map**, showcasing exceptional …