The longer human activities are changed due to the COVID-19 pandemic, the more visible, wider, and longer lasting the scope of environmental impacts may be. Your challenge is to tell a visual story about the impacts of the pandemic using Earth observation data and other complementary information.
In the project, we selected parking airplane data from the dashboard to analyze how the pandemic affects airline traffic. Also, we did some research about the change of economics of commodities throughout the beginning of the pandemic since the situation at the beginning was worse than today.
Our project is aimed to summarize separate data into one completed timeline since we believe that all factors are connected together in one single society. Especially during the pandemic, we can see that COVID-19 affects many sides of people's lives or the whole society.
However, most people believe that the COVID-19 just affects the population negatively. For example, in the dashboard, we saw that these data are separable, so the dashboard let people feel that everything is disconnected. Therefore, we think it is necessary to let people know that the pandemic cannot just affect only the population on the Earth, but also everything, every side of society since all of them connects tightly. Due to this tight connection, the whole chain will start being affected once one of the parts was affected. It also showed the important responsibility of human beings since they are the dominant role of the Earth. We hope that this project can remind people of their roles.
Our team was inspired to choose this challenge because of the significance of the topic to our own lives-- every day, we are surrounded by stories. They make up our lives-- each person and each object has a story to tell. We felt drawn to the idea of creating a visual story of the COVID-19 pandemic, using the beauty of data to highlight the horrific loss that was suffered and the ways that we were able to overcome challenges to create a brighter tomorrow. In developing this project, we first examined which aspects of our own, personal lives were impacted by the pandemic. We then transitioned to examining data from the EO Dashboard and tradingeconomics.com to find striking graphs and visuals that could appropriately demonstrate one single story of the COVID-19 pandemic. From there, we proceeded to write an analysis of the data to properly explain our story on-screen. We did not use any coding, hardware, or software, but rather simply databases and images to allow us to tell our story. We faced a multitude of challenges during our work-- namely, time constraints. We began the project at around 1 PM the day of the deadline, principally because we splintered off of a separate team not submitting at the last hour. This put us under a severe time crunch, but we overcame it by working hard to make up for lost time. We feel a great sense of achievement in submitting a project to the Hackathon despite our challenges.
We selected data of airports: throughput from the dashboard. Before selecting data, we searched the top 10 busiest airports in the world since we felt that we didn't need to use all data the dashboard has. After the research, we selected data from Tokyo, Los Angeles, Heathrow, Paris and Beijing-Daxing Airports since they are named "busiest airports". We did multiple comparisons between the beginning of the pandemic and the worst period of the pandemic.
https://www.canva.com/design/DAEizCGw_po/8nnmyuHPjDmSIpmM5j2Hiw/view?utm_content=DAEizCGw_po&utm_campaign=designshare&utm_medium=link&utm_source=sharebutton
Our solution could be integrated into the Earth Observing Dashboard quite simply: by exporting our project as a document, then importing it as an article in the EO Dashboard, underneath the Coronavirus indicator.
[1]“Rice (USD/Cwt).” Trading Economics, Trading Economics, 2021, tradingeconomics.com/commodity/rice.
[2]“Crude Oil WTI USD/Bbl.” Trading Economics, Trading Economics, 2021, tradingeconomics.com/commodity.
[3]“Gold (USD/t.oz).” Trading Economics, Trading Economics, 2021, tradingeconomics.com/commodity.
[4]“Beef (USD/Kg).” Trading Economics, Trading Economics, 2021, tradingeconomics.com/commodity.
[5] Los Angeles International Airport - Lax, Throughput at principal hub airports. (n.d.). Earth Observing Dashboard. https://eodashboard.org/?poi=US021-E13b&indicator=E13b.
[6] Beijing Daxing International Airport - Pkx, Throughput at principal hub airports. (n.d.). Earth Observing Dashboard. https://eodashboard.org/?poi=CN012-E13b&indicator=E13b.
[7] Tokyo, Airports: throughput-Number of airplanes at parking areas in airports. (n.d.). Earth Observing Dashboard. https://eodashboard.org/?poi=JP02-E13b&indicator=E13b.
[8]Heathrow, Airports: throughput-Number of parked airplanes. (n.d.). Earth Observing Dashboard. https://eodashboard.org/?indicator=E13b&poi=UK4-E13b.
[9]Paris, Airports: throughput Number of parked airplanes. (n.d.). Earth Observing Dashboard. https://eodashboard.org/?indicator=E13b&poi=FR8-E13b.
#airports throughput #telling stories through images #images #economics #commodites
This project has been submitted for consideration during the Judging process.