Landscape Metrics for Urban Green Space Connectivity in Tehran, 2015-2023

A 5.5 KB Excel dataset by Zahra Omidighalehmohammadi, last updated in April 2026. It contains class-level landscape metrics values derived from Landsat satellite data processed in Google Earth Engine. The data supports analysis of spatiotemporal changes in urban green spaces and their connectivity for mitigating urban heat island effects in Tehran, Iran.

Use Cases

• Modeling connectivity flows between cold urban cores based on electrical circuit theory metrics
• Analyzing fragmentation and expansion of hot and cold zones based on landscape morphology metrics
• Identifying optimal NDVI thresholds for green area classification using ROC and TSS metrics
• Mapping core green spaces and resistance surfaces using Foreground Area Density and inverse NDVI maps

Strengths

• Data spans a 9-year time range from 2015 to 2023
• Quantifies specific changes, including a 1,400 ha decrease in cold areas and a 1,618 ha increase in hot zones
• Uses satellite-derived land surface temperature (LST) and NDVI maps for analysis

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Data is focused solely on Tehran, Iran, limiting geographic generalizability

Provenance

Source

Zahra Omidighalehmohammadi via figshare

Collection Method

Satellite data from 2015 to 2023 processed in Google Earth Engine, using Landsat-derived LST and NDVI maps

Time Range

2015 to 2023

Freshness

Last updated 2026-04-09 17:34:16; freshness should be verified

Geography

Tehran, Iran