Catastrophe-Cartographies (2024-2025)
Kodos (Claudio Filho and Fernanda Oliveira)
Catastrophe-Cartographies (2024-2025)
Kodos (Claudio Filho and Fernanda Oliveira)
Link to the article:
https://drive.google.com/file/d/1m3ourfqPCTa10K_kaVsulhZcWll-Rxif/view?usp=sharing
Catastrophe-Cartographies is a cartographic exercise that traces data shared online regarding the large-scale criminal fires in the Amazon rainforest. These fires spread toxic smoke from north to south across Brazil. The Kodos collective (Claudio Filho and Fernanda Oliveira) tracked multiple reports, articles, and satellite images on the fires, resulting in the cartography of images produced alongside artificial intelligence systems. These visualizations explore the intersections that catastrophes leave on human and machinic landscapes, as well as their own imaginaries.
Between July and September, the wildfires in the Amazon and Pantanal became the focal point of Brazilian media due to their extensive scale. According to data from the National Oceanic and Atmospheric Administration (NOAA), the smoke generated by these fires spread over a vast area of Brazilian territory, forming an air corridor that carried the smoke from the northern to the southern regions. Mainstream and social media, especially in Brazil, extensively covered the impacts of the fires, highlighting the harmful effects on human respiratory health and the loss of non-human lives in the affected areas. Images of burning forests, orange-hued skies, and wildlife being rescued flooded the media. This scenario reinforced the urgency of real and concrete measures to address the climate crisis. The image captured by the NOAA-20 satellite reveals the propagation of the smoke. The presence of smoke in areas far from the hotspots underscores the severity of the situation. The fires occurred due to a severe drought, which was most noticeable in the Madeira River, and spread through the states of Rondônia and Amazonas, further aggravating the challenges faced by both the ecosystem and its inhabitants.
In an era of hyper-shared images, where everyone becomes a spectator of their own life, we must critique the role of images and their performativity in relation to technological systems. From these inquiries, we seek to explore the materiality of operations that constitute images, recognizing that there is always intentions underlying these processes. We propose a collaboration with the artificial intelligence databases that feed the algorithmic image-generation systems. By defining a prompt for tracing the smoke path, we establish a predefined narrative. When comparing an AI-generated image to one captured by a smartphone camera, the complexity of image-generating systems becomes clear. Below is an image taken by Fernanda Oliveira on September 19, 2024, in Manaus-AM, using a Samsung Ultra 2023 smartphone camera and digitally edited for clarity.
Image generated from the predefined command in the NightCafe Studio system. ©Kōdos
Image captured with the Samsung Ultra 2023 smartphone camera and digitally edited by Fernanda Oliveira. © Fernanda Oliveira