Class-level Landscape Metrics for Urban Heat Island Analysis in Tehran, 2015-2023

A 5.5 KB XLS file contains landscape morphology metrics quantifying spatial configuration changes in urban green spaces in Tehran, Iran. The dataset, created by Zahra Omidighalehmohammadi and last updated in April 2026, was developed using Landsat satellite data processed in Google Earth Engine from 2015 to 2023. It supports analysis of connectivity flows between cold cores using electrical circuit theory to model the spatiotemporal evolution of green spaces.

Use Cases

• Modeling connectivity flows between cold urban cores based on electrical circuit theory metrics.
• Analyzing spatiotemporal fragmentation and expansion of hot/cold zones based on landscape morphology metrics.
• Identifying optimal NDVI thresholds for green area classification based on ROC and TSS metrics mentioned in the description.
• Quantifying changes in green space continuity and cooling capacity based on Foreground Area Density and inverse NDVI maps.

Strengths

• Covers an 8-year time range from 2015 to 2023 for longitudinal analysis.
• Includes specific quantified changes, such as a 1,400 ha decrease in cold areas and a 1,618 ha increase in hot zones.
• Derived from processed satellite data (Landsat LST and NDVI) using Google Earth Engine.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 5.5 KB size suggests a very limited scope, likely containing summary metrics rather than raw spatial data.

Provenance

Source

figshare, authored by Zahra Omidighalehmohammadi.

Collection Method

Satellite data (Landsat) from 2015 to 2023 processed in Google Earth Engine, with landscape metrics and connectivity modeling.

Time Range

2015 to 2023

Freshness

Last updated 2026-04-09 17:34:15; freshness should be verified.

Geography

Tehran, Iran