Inspiration
GeoDeforest was inspired by the urgent need to monitor global deforestation, track its environmental impacts, and provide accessible insights for conservationists, policymakers, and the public.
What it does
GeoDeforest visualizes deforestation data using GIS and cartography, displaying tree cover loss, CO2 emissions, and other related environmental metrics across the globe. It empowers informed decision-making for conservation efforts.
How we built it
We utilized Python with libraries such as GeoPandas, Plotly, and Folium to process and display geospatial data. We integrated datasets from the Global Forest Watch and other environmental sources, creating dynamic and interactive maps.
Challenges we ran into
Handling large datasets, ensuring data accuracy, and visualizing complex geospatial information in an engaging, user-friendly way were some of the key challenges faced. We also had to clean and merge diverse data formats.
Accomplishments that we're proud of
We successfully built a web-based dashboard displaying deforestation trends, visualized CO2 emissions, and implemented interactive maps. The project enhances the understanding of global environmental changes.
What we learned
We gained deeper insights into GIS, cartography, and geospatial data visualization, as well as the importance of real-time environmental monitoring in tackling global challenges like deforestation.
What's next for GeoDeforest
Future improvements include expanding the dataset, enhancing real-time interactivity, and integrating more environmental indicators, like biodiversity loss. We also plan to make the tool scalable and accessible for global use.
Log in or sign up for Devpost to join the conversation.