Damage Assessment in Rural Environments Following Natural Disasters Using Multi-Sensor Remote Sensing Data.

Area of Science:

• Geoscience
• Remote Sensing
• Disaster Management

Background:

• Natural disaster damage assessment has historically focused on urban environments.
• Rural areas exhibit unique damage characteristics distinct from urban settings.
• A gap exists in methodologies for assessing damage distribution and extent in rural disaster-affected regions.

Purpose of the Study:

• To present a novel methodology for mapping, characterizing, and assessing damage in rural environments post-natural disaster.
• To address the lack of specific research on rural disaster impact assessment.
• To demonstrate the application of combined remote sensing data for rural damage evaluation.

Main Methods:

• Combining synthetic-aperture radar (SAR) and optical remote sensing data.
• Utilizing high-resolution COSMO-SkyMed and Sentinel-2 imagery.
• Applying the methodology to the Sulawesi earthquake and tsunami event in Indonesia.

Main Results:

• Developed a methodology effective for both built-up and vegetation areas in rural environments.
• Demonstrated that rural remote sensing data requires different analysis techniques than urban data.
• Showcased the importance of considering surrounding features alongside damaged structures.

Conclusions:

• Remote sensing data analysis for rural disaster assessment must be distinct from urban analysis.
• Comprehensive damage assessment requires incorporating surrounding environmental features.
• The proposed methodology is adaptable for various disaster types, multiple hazards, and different sensor combinations.