Abstract
Remote sensing has often been applied to study cities and the spatial arrangements of their people, buildings, roads, and trees. Rarely do these studies examine the socio-ecological processes that give rise to the spatio-temporal patterns of a neighborhood’s biotic and abiotic components. Yet the primacy of land in facilitating and mediating reciprocal human-environment interactions makes remote sensing of land changes a powerful approach for investigating socio-ecological change. This article reviews recent developments in remote sensing studies of urban populations, vegetation, and housing and discusses how remote sensing observations of these patterns can connect to underlying socio-ecological processes.
| Original language | English |
|---|---|
| Title of host publication | Comprehensive Remote Sensing |
| Publisher | Elsevier |
| Pages | 90-105 |
| Number of pages | 16 |
| Volume | 1-9 |
| ISBN (Electronic) | 9780128032206 |
| ISBN (Print) | 9780128032213 |
| DOIs | |
| State | Published - Jan 1 2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
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SDG 15 Life on Land
Keywords
- Housing
- Land cover
- Land-cover change
- Neighborhood change
- Population change
- Process model
- Remote sensing
- Rust Belt
- Socio-ecological change
- Temporal change
- Urban
- Urban ecosystem
- Urban vegetation
- Vegetation
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