MNDWI-SENTINEL2: Dust Dynamics and Wetland Data for Khuzestan, Iran (2018-2022)

A 7.0 KB text dataset by Alireza Yousefi Kebriya, last updated in May 2026, supporting a study on dust events in Khuzestan Province, Iran. The data likely contains satellite-derived Aerosol Optical Depth (AOD) and Aerosol Absorption Index (AAI), ground-based PM₂.₅ and PM₁₀ measurements, HYSPLIT trajectory modeling results, and wetland assessments using the Modified Normalized Difference Water Index (MNDWI) for Sentinel-2 imagery. The analysis covers the period from 2018 to 2022.

Use Cases

• Correlating satellite-derived Aerosol Optical Depth (AOD) with ground-level particulate matter (PM₂.₅, PM₁₀) concentrations based on the strong correlations (R² up to 0.91) mentioned in the description.
• Analyzing dust transport pathways and source contributions using HYSPLIT trajectory clustering and Weighted Potential Source Contribution Function (WPSCF) mapping described in the study.
• Assessing wetland shrinkage and its impact on dust generation by examining MNDWI values and area correlations with AOD data referenced in the description.
• Modeling hydrological-air quality states (healthy, transitional, critical) based on the defined wetland area and AOD thresholds provided in the analysis.

Strengths

• Includes multi-source data integration: satellite AOD/AAI, ground PM measurements, HYSPLIT modeling, and wetland MNDWI analysis.
• Covers a defined 5-year time range from 2018 to 2022 for temporal trend analysis.
• Study reports strong quantitative correlations, such as R²=0.91 between AOD and PM₁₀, supporting data reliability.
• Focuses on a specific geographic region (Khuzestan Province, Iran) with identified transboundary dust pathways.

Limitations

• Column-level documentation is absent; field semantics and data structure must be inferred after download.
• Row count is unknown, which may limit suitability assessment for machine learning tasks.
• The dataset is very small (7.0 KB), suggesting it may contain summary results or metadata rather than raw observational records.

Provenance

Source

figshare, authored by Alireza Yousefi Kebriya.

Collection Method

Likely compiled from satellite remote sensing (Sentinel-2), ground monitoring stations, and atmospheric trajectory modeling (HYSPLIT) for a specific research study.

Time Range

2018 to 2022

Freshness

Last updated 2026-05-07 17:32:00; freshness should be verified.

Geography

Khuzestan Province, Iran, with identified dust source regions in Iraq and eastern Syria.