Download full text
(external source)
Citation Suggestion
Please use the following Persistent Identifier (PID) to cite this document:
https://doi.org/10.18335/region.v7i2.295
Exports for your reference manager
A reproducible notebook to acquire, process and analyse satellite imagery: Exploring long-term urban changes
[journal article]
Abstract Satellite imagery is often used to study and monitor Earth surface changes. The open availability and extensive temporal coverage of Landsat imagery has enabled 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 c... view more
Satellite imagery is often used to study and monitor Earth surface changes. The open availability and extensive temporal coverage of Landsat imagery has enabled 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, partly due to the lack of a methodological approach to capture features and changes in the urban environment. This notebook offers a framework based on Python tools 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.... view less
Classification
Area Development Planning, Regional Research
Free Keywords
satellite imagery; image segmentation; urbanisation; cities; urban change; computational notebooks
Document language
English
Publication Year
2020
Page/Pages
p. R15-R46
Journal
Region: the journal of ERSA, 7 (2020) 2
ISSN
2409-5370
Status
Published Version; reviewed