PODI: Urban Drought Monitoring Index from MODIS and Sentinel-2, 2018-2025

Processed remote sensing data from 2018 to 2025 supports the development of the Process-Oriented Drought Index (PODI). The dataset includes time series of vegetation indices, PODI values, and Evaporative Stress Ratio (ESR) for urban drought analysis. It was created by jing Wang and last updated in April 2026.

Use Cases

• Monitoring urban drought progression based on time series of vegetation indices.
• Analyzing evaporative stress during drought periods using Evaporative Stress Ratio (ESR) values.
• Mapping the spatial distribution of drought severity for specific events using PODI spatial maps.
• Studying interannual variations in drought conditions from averaged ESR distribution maps.

Strengths

• Includes data from two major satellite sources, MODIS and Sentinel-2.
• Covers a multi-year time series from 2018 to 2025.
• Provides derived indices like PODI and ESR specifically for phased drought analysis.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 2.5 MB size suggests a relatively small or highly compressed dataset.

Provenance

Source

figshare, author jing Wang

Collection Method

Processed data from multi-source remote sensing (MODIS, Sentinel-2).

Time Range

2018 to 2025

Freshness

Last updated 2026-04-20 11:27:46; freshness should be verified.

Geography

Urban environment(s), specific location(s) not stated.