Work

Research on topsoil protection and vegetation restoration technology for power transmission and transformation projects based on big data and artificial intelligence

Year: 2025

Type: conference-paper

Abstract: With the continuous advancement of power transmission and transformation projects, their impact on the ecological environment is becoming increasingly prominent. This paper investigates the ecological impact of power transmission projects on a coastal wetland, using Google Earth Engine and AI to study soil and vegetation. It analyzes satellite imagery to map wetland features and employs time series analysis and random forests to classify vegetation. The study proposes soil protection measures for such projects, highlighting the effectiveness of remote sensing techniques for vegetation identification and restoration planning.

Source: International Conference on Computer Information and Big Data Applications (CIBDA)

DOI: 10.1145/3746709.3746778

Authors: Qiangsheng Xu, Xingcheng Yu, Shuai Li, Jinchi Chai

Institution: State Grid Liaoning Electric Power Company (China)

Language: English

Topic: Wetland Management and Conservation

Subfield: Ocean Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Life on land, Climate action, Affordable and clean energy

Open Access status: hybrid

OpenAlex ID: W4413845195

FWCI:

Cites: 4

Cited by:

Related to: 10