InSAR Time-Series Analysis Expert Needed
Budget: £20 – £250 GBP
Project Title:
Full InSAR Time-Series Analysis (Sentinel-1, SNAP + StaMPS)
Project Description:
I am looking for an experienced remote sensing/InSAR specialist to perform a full InSAR time-series analysis using Sentinel-1 SAR data.
The dataset consists of approximately 20 Sentinel-1 SLC acquisitions covering a long-term period (2015–2025) over a defined study area, with roughly 6-month intervals between acquisitions.
Required Workflow:
The processing must be completed using:
ESA SNAP (for preprocessing)
StaMPS (for time-series analysis: PS or SBAS)
This is NOT a basic GIS or Python-only task. It requires a full InSAR workflow, including:
SLC stack preparation
interferogram generation and preprocessing in SNAP
export to StaMPS
time-series processing (PS/SBAS)
noise reduction and filtering
Required Outputs:
The final results must include:
Displacement time-series dataset
deformation tracked over time for each pixel/point
Mean velocity map (mm/year)
showing long-term deformation rates
Time-series graphs
displacement vs time for selected points
Clear visual outputs
maps showing spatial deformation patterns (subsidence/uplift)
Reference Outputs:
Please see attached reference images. The final results should match the structure, clarity, and format of these examples.
Important Notes:
This is a time-series analysis, NOT just multiple interferograms
All acquisitions must be processed together as a single dataset
Experience with StaMPS is essential
Timeline:
Completion within 1–3 days is preferred, depending on processing capability. Please confirm a realistic timeframe when bidding.
Requirements:
Please only apply if you have:
prior experience with InSAR time-series processing
experience using SNAP + StaMPS
ability to explain your workflow if required
Full InSAR Time-Series Analysis (Sentinel-1, SNAP + StaMPS)
Project Description:
I am looking for an experienced remote sensing/InSAR specialist to perform a full InSAR time-series analysis using Sentinel-1 SAR data.
The dataset consists of approximately 20 Sentinel-1 SLC acquisitions covering a long-term period (2015–2025) over a defined study area, with roughly 6-month intervals between acquisitions.
Required Workflow:
The processing must be completed using:
ESA SNAP (for preprocessing)
StaMPS (for time-series analysis: PS or SBAS)
This is NOT a basic GIS or Python-only task. It requires a full InSAR workflow, including:
SLC stack preparation
interferogram generation and preprocessing in SNAP
export to StaMPS
time-series processing (PS/SBAS)
noise reduction and filtering
Required Outputs:
The final results must include:
Displacement time-series dataset
deformation tracked over time for each pixel/point
Mean velocity map (mm/year)
showing long-term deformation rates
Time-series graphs
displacement vs time for selected points
Clear visual outputs
maps showing spatial deformation patterns (subsidence/uplift)
Reference Outputs:
Please see attached reference images. The final results should match the structure, clarity, and format of these examples.
Important Notes:
This is a time-series analysis, NOT just multiple interferograms
All acquisitions must be processed together as a single dataset
Experience with StaMPS is essential
Timeline:
Completion within 1–3 days is preferred, depending on processing capability. Please confirm a realistic timeframe when bidding.
Requirements:
Please only apply if you have:
prior experience with InSAR time-series processing
experience using SNAP + StaMPS
ability to explain your workflow if required