Methodology family
Fusion
Techniques that combine outputs from two or more sensor families to exploit complementary information, trading the individual limitations of spatial resolution, temporal frequency, spectral coverage, or weather independence against each other.
Methodologies in fusion
- Multi-sensor spatiotemporal fusion - gap-filling 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.
- 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.
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