This repository contains jobs to convert S1-SLCP products to Log Amplitude Ratios (LARs) for creating Flood Proxy Maps v1 (FPMv1).
A LAR is created based on the below pairing system, using 2 SLCs --> 1 SLCP --> 1 FPM:

Note: Since SLCP:LAR is 1:1, the pairing of SLCPs is not required to make LARs. Hence, user simply needs to facet on target SLCPs to execute the LAR job on.
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Type: Iterative
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Facet: SLCPs to create LARs from
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User inputs:
Fields Description Type Example lar_range_looksRange looks to create LARs. (Overrides looks in SLCP's metadata) int 7 lar_azimuth_looksAzimuth looks to create LARs. (Overrides looks in SLCP's metadata) int 2 -
Important outputs:
Product Description Example Log Amplitude Ratio Products Geocoded, multilooked LARs logr_[burst][range_lks][az_lks].float.geo Amplitude Products Geocoded, multilooked amplitudes stored in 2 bands. Band 1 - Master scene's amp. Band 2 - Slave scene's amp. amp_[subswath][range_lks][az_lks].amp.geo
The LARs in this PGE are computed as such (from log_ratio.py):
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(Latest) From dataset
v2.0onwards:where A = Amplitudes of SLCs of the given date in the co-registered SLCPs
=> Negative values / darker pixels correspond to decreased amplitudes in the post-event scene and possible open-water flood.
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Before dataset
v2.0(v1.xetc):where A = Amplitudes of SLCs of the given date in the co-registered SLCPs
=> Positive values / brighter pixels correspond to decreased amplitudes in the post-event scene and possible open-water flood.
How to create log amplitude ratio images from ARIA SLC_PAIR products:
- Go to src.
./compile.sh
- Set environment variables. See set_env_variable.sh for details.
- Then modify slcp2lar_S1.sh and run it.
- Sang-Ho Yun - initial work