Big Earth Data Taylor & Francis Journal Impact Factor

Big Earth Data - Taylor and Francis | 2024 Impact Factor : 3.8 | Cite Score:9.0 | Q1

Cite Score and Journal Rank of Big Earth Data

About: The Big Earth Data journal is a scholarly publication dedicated to advancing research, methodologies, and applications in the field of big data analytics for Earth observation and environmental sciences. The journal serves as a platform for researchers, practitioners, and policymakers to publish high-quality, peer-reviewed articles that explore innovative developments in the acquisition, processing, analysis, and application of large-scale Earth observation data.
Objective
The primary objective of the Big Earth Data journal is to promote interdisciplinary research and innovation in big data analytics for Earth sciences. The journal publishes original contributions that cover topics such as remote sensing, data integration and fusion, geospatial data mining, machine learning for environmental modeling, climate change analysis, disaster management, and the societal impact of Earth observation data.
Impact
The journal seeks to make a significant impact by:
Publishing cutting-edge research that advances the understanding and application of big data analytics in Earth sciences.
Facilitating collaboration among researchers, Earth scientists, data scientists, and policymakers to address global environmental challenges.
Providing a platform for the dissemination of research findings that influence environmental policies, practices, and decision-making.
Contributing to the development of innovative methodologies, tools, and frameworks that enhance the utilization and interpretation of big Earth data.
Significance
Big Earth data analytics are crucial for monitoring, understanding, and mitigating environmental changes and their impacts on societies and ecosystems. The Big Earth Data journal plays a pivotal role in advancing this field by promoting rigorous research, fostering interdisciplinary collaborations, and shaping the future of Earth observation data analytics through its impactful publications.

Journal Home: Journal Homepage

Editor-in-Chief: Huadong Guo

Scope: The Big Earth Data Journal focuses on research related to the acquisition, processing, analysis, and application of big data in Earth sciences and related disciplines.
Foundational Concepts: Theoretical foundations and methodologies for handling large-scale Earth observation data.
Integration of remote sensing, GIS (Geographic Information Systems), and big data analytics in Earth sciences.
Advanced Topics: Applications of machine learning, artificial intelligence, and data mining in analyzing Earth observation data.
Development and utilization of data-driven models for climate studies, environmental monitoring, and natural resource management.
Data Management and Processing: Techniques and technologies for managing, processing, and visualizing big Earth data.
Cloud computing, parallel processing, and distributed computing for scalable Earth data analysis.
Applications and Case Studies: Practical applications of big Earth data in disaster management, agriculture, urban planning, and biodiversity conservation.
Case studies demonstrating the use of big data technologies to address global environmental challenges.

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