Review of Remote Sensing for Slum Detection, 2000-2024

A systematic literature review of 53 peer-reviewed articles published between 2000 and 2024, analyzing the application of remote sensing technologies for detecting informal settlements. The review was authored by Juzheng Fan and published on figshare in 2026. It identifies key trends, methodological evolution, and persistent challenges in the field.

Use Cases

• Benchmarking the evolution of remote sensing methods based on the analysis of 53 reviewed studies.
• Identifying geographic research gaps based on the reported strong focus on the Global South.
• Comparing model transferability challenges based on the reported difficulty in applying models across different geographic contexts.
• Analyzing accuracy assessment practices based on the reported deficiency in standardization across the literature.

Strengths

• Systematic review of 53 peer-reviewed articles, providing a structured analysis.
• Covers a 24-year time range (2000-2024), capturing methodological evolution.
• Quantifies trends, such as deep learning techniques accounting for 43% of reviewed studies.

Limitations

• The dataset is very small (52.9 KB), containing only the review document and supplementary files, not the primary data from the studies.
• Row count and column-level documentation for the underlying analysis are unknown.
• Data may reflect publication bias inherent to the academic literature reviewed.

Provenance

Source

figshare, authored by Juzheng Fan.

Collection Method

Systematic literature review extracted from an initial 635 articles identified through database search.

Time Range

2000-2024

Freshness

Last updated 2026-05-20 12:42:07

Geography

Global, with a noted strong focus on Asia and Africa (Global South).