ASTER and MODIS Fire Data Comparison for Southern Africa 2001

Southern Africa is the focus of this dataset used to validate the MODIS active fire product against higher-resolution ASTER imagery. NASA researchers employed 18 ASTER scenes from August to October 2001, applying logistic regression models to analyze detection probabilities across two MODIS algorithm versions. The data underpins a published 2005 study on improving satellite-based fire monitoring accuracy.

Use Cases

• Validating MODIS fire detection algorithms using ASTER-derived summary statistics and Moran's I spatial heterogeneity measures.
• Comparing fire detection accuracy between MODIS algorithm versions 3 and 4 for a specific region and season.
• Modeling the probability of fire detection as a function of the number of ASTER-observed fires within a MODIS pixel.
• Assessing the impact of spatial fire clustering within a sensor's pixel on detection performance.

Strengths

• Dataset is directly linked to a peer-reviewed publication (Morisette et al., 2005) in the International Journal of Remote Sensing.
• Analysis covers a defined burning season (5 August 2001 to 6 October 2001) using 18 distinct ASTER scenes.
• Validation methodology employs statistical modeling (logistic regression) to quantify detection probabilities.

Limitations

• Core dataset details like row count, column names, and exact file size are unavailable across all platforms.
• Conflicting 'last updated' dates exist between platforms (2001-10-05 on NASA Earthdata and 2026-03-12 on Data.gov).
• Specific license terms are unclear, only noted as 'other-license-specified' on Data.gov.

Provenance

Source

National Aeronautics and Space Administration (NASA)

Collection Method

Satellite imagery analysis from ASTER and MODIS sensors, processed with statistical models.

Time Range

2001-08-05 to 2001-10-06

Freshness

2026-03-12 21:50:17.031183

Geography

Southern Africa