Geospatial machine learning for benzene estimation in an environmentally disadvantaged area: Snapshot air quality assessment of Joppa community, Dallas, Texas
Year: 2026
Type: article
Source: Journal of Cleaner Production
Institutions: National Cheng Kung University, Texas A&M University System, Texas A&M University, University of Illinois Urbana-Champaign, National Taiwan University, Research Center for Environmental Changes, Academia Sinica, Academia Sinica, Chang Gung University of Science and Technology, Kaohsiung Medical University, National Chung Hsing University, National Health Research Institutes
Language: English
Subfield: Environmental Engineering
Field: Environmental Science
Domain: Physical Sciences
Open Access status: closed
Awards: Satellite Science Interdisciplinary Proejct-Satellite Remote Sensing Technology for Sdgs Implementation( III ), G4454105295, G521455728, Research on the Implementation of a National Tricolor Carbon Sink Digital Twin System Using Multi-Source Remote Sensing Imagery and Geo-Ai Technology( I ), Building a Sustainable and Inclusive Southern Taiwan: Transformation and Resilience of Traditional Industries and Society under High-Tech Development( I ), G7162121508, Adopting Innovative Sensor Technology and Data Science to Formulate Evidence-Based Adaptation Strategies for Tackling Environmental Health Challenges under Climate Change( III ), Application of Big Data and Ai-Based Approaches to Construct Personalized Disease Risk Models for Predicting or Preventing Childhood Allergic Diseases( I )
OpenAlex ID: W7151354482