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In the interview with Emily Roehl, artist Steve Rowell describes his style in contrast to the more "didactic" approach of land use and documentary photography. Instead, he has come to combine his visual works with sound installations that are meant to unsettle. These sounds are often generated based on air pollution data that he has collected (Roehl and Rowell, 2022, p. 137). Rowell further describes how changes in the development of aerial video and photography technology have shaped his work. In the past, Rowell would rent expensive camera equipment and attach them to a helicopter to generate fly-over images (Roehl and Rowell, 2022, p. 140). Though commercial drones have become available, Rowell says that he soon got dissatisfied with the "slick" images they produce. When using drones, Rowell relies on an angle that faces down or is close-up, creating feelings of uncanniness. These unusual perspectives are combined with split imagery and mirroring to achieve a specific effect: “There’s a value in giving the viewer/listener a chance to distrust the work in the same way there’s value in giving them room to question the work. The landscapes I feature are all altered. What landscape isn’t now? That’s the point.” (Roehl and Rowell, 2022, p. 140).

Steve Rowell is an educator and research artist, currently working on “long-term projects that use image, sound, and archival practice to interrogate the relationship between humans, industry, and the environment” (Roehl and Rowell, 2022, p. 136). Rowell has worked extensively with the Center for Land Use Interpretation (CLUI) in Los Angeles, including a comissioned project for which he photographed every petrochemical plant in Texas (ibid, p. 137). In subsequent projects, he has focused on tracing pipelines going from the Alberta Tar Sands to petrochemical communities in Long Beach, California and Port Arthur, Texas. Another recent project focuses on the industrial ecology of Houston's Buffalo Bayou. 

There are missing data points within the dataset (attributed to non-reported information). This dataset has also been acknowledged to be limited in its prioritization of government data, which could have political limitations that may skew the degree of severity for disasters reported. 

This dataset can be used to demonstrate the geographic distribution of disasters in Vietnam over time. This database recognizes multiple dimensions of disaster, including natural (typhoons, hurricanes), technological (a chemical spill, a factory explosion), and more

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This dataset includes information at the country and regional level. Reports of disasters, both natural and human-related, are recorded at the country and province, region, or city level.  

This resource has been used in a publication written by Hoang et al., 2018 on the economic cost of the Formosa Toxic Waste Disaster in Central Vietnam. It is specifically used within the journal article to highlight the forms in which disasters can take place within a nation, and the rising cases of industrial disasters that have afflicted vulnerable communities within the last decade. This characterization sets the stage and context for the Formosa disaster, and integrates it within a wider conversation about the effects of intensified industrialization on the environment. 

These datasets all involve  a strong spatial component. The presentation of such data could best be done via GIS Software, with their integration within a story map to demonstrate the importance of environmental stewardship to natural environments as well as the people who depend on such resources for their livelihoods.  For example, EPI data can be incorporated with EM-DAT’s disaster data to better understand the relationship between  a country’s EPI performance and the amount of technological disasters it observes. A country’s EPI score on Fish Stock Status can be compared with how much the nation’s GDP relies on fisheries to draw attention to discrepancies between stewardship and a country’s reliance on this resource. This process will require a user to be familiar with GIS Software and spatial plotting of data points (as the datasets themselves have not been integrated into ArcGIS), and using this software to integrate information together into meaningful maps.

[Source: EM-DAT Public] This graphic shows the prevalence of technological disasters [includes toxic spills, industrial explosions, etc.] by country. This can be used to characterize, on a transnational level, where potential industrial harms are centralized or concentrated. While it does not characterize more insidious harms, such as air pollution, it can be a direct and easy to understand measure of environmental harm distribution across the globe. 

Additionally, data is available as excel sheets, which allows users to produce their own graphics on the prevalence of disasters within a particular nation over a desired time interval. 

This was developed in 1988 by personnel from the Center for Research on the Epidemiology of Disasters (CRED) within the Université catholique de Louvain (UCLouvain) with funding from the Belgian government and the World Health Organization (WHO), this data source aims to provide free open access information for users affiliated with academic organizations, non-profits, and international public organizations looking to gain understanding on the distribution  of disaster occurrences around the globe.

The EMT disaster database is compiled from a wide variety of sources, including UN agencies, NGOs, insurance companies, research institutes, and press agencies. The dataset compilation process prioritizes data from UN agencies, the International Federation of Red Cross and Red Crescent Societies, and government agencies. Entries are reviewed prior to consolidation, and this process of checking and incorporating data is done on a daily basis. More routined  data checking and management also occurs at a monthly interval, with revisions made at the end of each year.