Methodology ยท Fusion
Optical-SAR data fusion
Combines optical reflectance and SAR backscatter to exploit complementary information; good for cloud-persistent monitoring, crop classification under cloud cover, and flood mapping in vegetated areas.
How it works
Feature-level or decision-level fusion; SAR provides all-weather geometric structure while optical provides spectral identity. Requires co-registration and calibration consistency across sensors. [Wikipedia: Data fusion](https://en.wikipedia.org/wiki/Data_fusion)
Topics this serves
- Crop-type mapping well suited
- Flooding adequate
- Land cover change adequate
Existing implementations
Demonstrated
Capable, undemonstrated
None on record.
Related methodologies
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Reconstructs dense time-series by blending high-frequency coarse-resolution and low-frequency fine-resolution observations; good for crop phenology tracking and cloud-gap filling.
Sources
- [wikipedia]Wikipedia: Data fusioncommunityaccessed 2026-05-22
Methodology
Edited from public sources. Last reviewed date pending by SpectraWorks editorial. See the data dictionary for field definitions.