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Submit a Manuscript to the Journal
Big Earth Data

For a Special Issue on
Big Earth Data for Disaster Risk Reduction

Manuscript deadline
31 October 2022

Cover image - Big Earth Data

Special Issue Editor(s)

Lei Zou, Texas A & M University, United States
[email protected]

Fang Chen, International Research Center of Big Data for Sustainable Development Goals, China
[email protected]

Xiao Huang, University of Arkansas, United States
[email protected]

Bandana Kar, Oak Ridge National Laboratory, United States
[email protected]

Samuel Rufat, Université de Cergy-Pontoise, France
[email protected]gy.fr

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Big Earth Data for Disaster Risk Reduction

In the wake of increasingly frequent disasters and population growth in disaster-prone areas worldwide, research into and practices related to reducing disaster risks have gained significant attention from researchers in various disciplines, as well as government agencies and the public. Therefore, disaster risk reduction research, which aims to protect humans from hazards and threats, is of high societal relevance and closely related to several of the United Nations Sustainable Development Goals (SDGs). The findings from research into disaster risk reduction contribute significantly to making cities and other settlements more inclusive, safe, resilient, and sustainable.

The burgeoning field of Big Earth Data offers an innovative lens for observing the development of disasters, their impacts, and the response to disasters in near real time. For instance, data collected by remote sensing systems, social media, cellphone apps, vehicles, sensor networks, and crowdsourcing can be used to make multi-dimensional observations of human behavior, urban dynamics, and environmental changes. The information obtained from these novel datasets plays a critical role in understanding how disasters develop and their cascading impacts on human societies, built environments, and natural systems, thus informing decision-making and policy-making in relation to disaster risk reduction.

This forthcoming Special Issue invites manuscripts in which Big Earth Data are analyzed with the aim of monitoring, measuring, and modeling current and future disaster risks to inform the best pathways for reducing disaster risks and achieving resilience and sustainability.

Potential topics include (but are not limited to) the following:

  • Analysis of Big Earth Data for monitoring natural hazards
  • Big data analysis for studying human behavior during disasters
  • Assessing disaster impacts on social and environmental systems and on infrastructure
  • Disaster vulnerability, resilience, and risk measurement and modeling
  • Urban and rural disparities in disaster resilience and risk reduction
  • Geospatial data and methods used to combat public health crises, including covid-19
  • Policy and planning informed by big data for disaster risk reduction
  • Uncertainties in analyzing Big Earth Data for disaster research; e.g., scale effects, MAUP, and data quality issues
  • Geo-computation and geo-visualization of Big Earth Data for disaster management

Submission Instructions

Important Dates

  • October 31, 2022        Paper submission online
  • November 30, 2022   Decision to authors
  • January 31, 2023        Revised paper submission
  • March 31, 2023           Publication

Manuscript Submission Information

Please visit the Instructions for Authors page before submitting your manuscript. Once you have finished preparing your manuscript, please submit it through the Taylor & Francis Submission Portal, ensuring that you select the appropriate Special Issue. Publication charges (APCs) will be waived for invited manuscripts submitted to Big Earth Data. Authors who need a waiver code should contact the Editorial Office ([email protected]) before submitting.

Instructions for AuthorsSubmit an Article

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