Urban Area Mapping using Sentinel-1 data Using DEA Data Cube
- Creators
- Digital Earth Africa
Description
EO is crucial for mapping and monitoring the environment in this case mapping the built environment that makes up urban areas. DE Africa provides free and open EO data and analysis tools to produce ready Earth Observation products and services for decision-making. In the past decade, urban areas have experienced rapid growth due to increased population in urban areas that are exerting pressure on the environment and threatening ecosystem degradation. This means that constant monitoring of the built environment is crucial for sustainable development.
Digital Earth Africa's (DEA) Urban area mapping using Sentinel-1 data notebook uses k-means clustering to classify land as 'urban' and then compares those results with the ESA WorldCover global land cover product for the year 2020 to produce a comparison between the urbanization prediction with the ground truth data visually and statistically. The analysis parameters for this notebook have been set using a central pair of coordinates in Nairobi County in Kenya, Africa. This notebook allows for easy replication of analysis across Africa, by simply changing the analysis parameters. The user guide provides an overview of the analysis, resources used/supplied, and directions on how to reproduce the analysis.
This knowledge package includes the necessary data, computational resources, and instructions required to reproduce the methodology used in Digital Earth Africa's Urban area mapping using Sentinel-1 data' Jupyter Notebook.
The User's Guide provides an overview of the application.