Abstract

Human health is known to be affected by the physical environment. Various environmental influences have been identified to benefit or challenge people’s physical condition. Their heterogeneous distribution in space results in unequal burdens depending on the place of living. In addition, since societal groups tend to also show patterns of segregation, this leads to unequal exposures depending on social status. In this context, environmental justice research examines how certain social groups are more affected by such exposures. Yet, analyses of this per se spatial phenomenon are oftentimes criticized for using “essentially aspatial” data or methods which neglect local spatial patterns by aggregating environmental conditions over large areas. Recent technological and methodological developments in satellite remote sensing have proven to provide highly detailed information on environmental conditions. This narrative review therefore discusses known influences of the urban environment on human health and presents spatial data and applications for analyzing these influences. Furthermore, it is discussed how geographic data are used in general and in the interdisciplinary research field of environmental justice in particular. These considerations include the modifiable areal unit problem and ecological fallacy. In this review we argue that modern earth observation data can represent an important data source for research on environmental justice and health. Especially due to their high level of spatial detail and the provided large-area coverage, they allow for spatially continuous description of environmental characteristics. As a future perspective, ongoing earth observation missions, as well as processing architectures, ensure data availability and applicability of ’big earth data’ for future environmental justice analyses.

Highlights

  • Urbanization and the Inequity of Environmental BurdensIn the Sustainable Development Goals (SDG) the United Nations highlight with SDG #3, to “ensure healthy lives and promote well-being for all at all age” [1], that health is an important humanitarian challenge for the upcoming decades and especially concerns those who are most disadvantaged

  • In this review we argue that modern earth observation data can represent an important data source for research on environmental justice and health

  • Even though some of these tools have already been used in environmental justice and environmental health research, recent methodological developments in remote sensing enable the derivation of additional environmental parameters, enriching the description of the urban environment for a multitude of health burdens

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Summary

Introduction

In the Sustainable Development Goals (SDG) the United Nations highlight with SDG #3, to “ensure healthy lives and promote well-being for all at all age” [1], that health is an important humanitarian challenge for the upcoming decades and especially concerns those who are most disadvantaged. It is known that the exposure towards health-related environmental conditions varies on global, national, regional, and local scales [2,3], and even in-between urban neighborhoods (e.g., [4]). This will lead to stark inequities in health in dependence of locations, especially due to population growth and the increasing trend of urbanization [5]. As healthy and unhealthy environments are not distributed in space and society, certain societal groups are more exposed towards hazardous environments than others This social imbalance is subsumed under the research of environmental justice or environmental (in)equity. Environmental justice combines people’s health and their socioeconomic status, bringing together various approaches and research disciplines [10]

Health Burdens of Environmental Exposure: A Historical Perspective
Spatial Scale in Environmental Justice Research
Socioeconomic Status and Individual Behavior Affecting Health
Aim and Outline of This Review
Remote Sensing of Environmental Health Burdens
Green Space
Air Pollution
Summary
The Importance of Space for Modeling Environmental Justice
Scales
Ecological Fallacy and the Modifiable Areal Unit Problem
Combining Remote Sensing and Socioeconomic Data
Establishing Remote Sensing as a Valuable Source of Spatial Data
Levels of Analysis
Limitations
Findings
Future Pathways
Conclusions

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