Abstract
Satellite imagery is often used to study and monitor changes in natural environments and the Earth surface. The open availability and extensive temporal coverage of Landsat imagery has enabled to monitor changes in temperature, wind, vegetation and ice melting speed for a period of up to 46 years. Yet, the use of satellite imagery to study cities has remained underutilised in Regional Science, partly due to the lack of a practical methodological approach to capture data, extract relevant features and monitor changes in the urban environment. This notebook offers a framework to demonstrate how to batch-download high-resolution satellite imagery; and enable the extraction, analysis and visualisation of features of the built environment to capture long-term urban changes.
| Original language | English |
|---|---|
| Pages (from-to) | R15-R46 |
| Journal | Region |
| Volume | 7 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 11 Sustainable Cities and Communities
Keywords
- Cities
- Computational notebooks
- Image segmentation
- Satellite imagery
- Urban change
- Urbanisation
Programme Area
- Programme Area 1: Data
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