NSDC Data Science Project – Permafrost-fed Lakes in US and Canada

Permafrost-fed Lakes in the US and Canada:

Climate Studies

Project Description

In this project we will learn about the lakes in North America with a focus on permafrost-fed lakes. Permafrost is a permanently frozen layer on or under the Earth’s surface. It consists of soil, gravel, and sand, usually bound together by ice.

Natural fluctuations in the number and size of lakes are common, but decadal scale studies show that climate change is shifting these dynamic systems across a hydrological threshold, towards landscape-scale wetting (lake formation and/or expansion) or drying (lake drainage, desiccation or infilling).

Jump into this Data Science Project to practice data visualization skills while studying important climate topics.


A Global Lake/Reservoir Surface Extent Dataset (GLRSED): An integration of HydroLAKES, GRanD and OpenStreetMap

Relevant Skills You May Apply

Introductory Python Skills

Skills You May Gain

Intermediate Data Visualization Skills and Python Programming Skills

Total Time

Approximately 5 hours


Milestone 1: Data Processing
Milestone 2: Data Visualizations


Deliverables include an interactive Google Colab Notebook.