Fighting Illegal Dumping in Mexico Through Building a Predictive Model

Local Chapter Mexico Chapter

Status: Completed

Project Duration: 10 Oct 2021 - 10 Nov 2021

Open Source resources available from this project

Project background.

Environmental conservation has many different factors and in Mexico one of the most influential is the relationship with dumping sites and garbage collection. Many places in Mexico are severely affected illegally and some of them are regions of nature that must be protected.

Project goals.

- To identify and visualize in a map spatial patterns of existing TrashOut dumpsites.
- To predict potential dumpsites using Machine Learning and visualize them with a heatmap.
- To understand and describe patterns of existing dumpsites to prevent future potential illegal dumping(s) with an unsupervised model.

Project plan.

    Learning outcomes.

    1. How to use Google Earth Engine for further visualization and data modeling.

    2. How to visualize certain regions in a map and create filtered visualizations.

    3. How to create a heat map based on ML predictions.

    4. How to describe unsupervised models applied to illegal dumpings.

    5. How to train and deploy image recognition models.

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