I will do insar deformation and sar flood mapping using sentinel 1 data

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asadjutt3180
A
asadjutt3180
Asad Basheer
do insar deformation and sar flood mapping using sentinel 1 data
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do insar deformation and sar flood mapping using sentinel 1 data
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do insar deformation and sar flood mapping using sentinel 1 datado insar deformation and sar flood mapping using sentinel 1 datado insar deformation and sar flood mapping using sentinel 1 datado insar deformation and sar flood mapping using sentinel 1 data

About this gig

I am a radar remote sensing researcher: PhD candidate at Tianjin University, with an MS in InSAR from China University of Geosciences (Wuhan). My MS thesis used Sentinel-1 DInSAR and SBAS-InSAR to measure river erosion and deposition along the Rio Colorado, Bolivia.


DEFORMATION (InSAR): land subsidence from groundwater pumping, mining, landslides, building and infrastructure settlement, uplift, river erosion and deposition. Methods: DInSAR, SBAS, PS-InSAR, ascending + descending decomposition (vertical and east-west), GACOS atmospheric correction, GNSS validation.


FLOODS (SAR): flood extent from Sentinel-1 backscatter with automatic thresholding, coherence-change flood detection for urban and vegetated areas, flood duration and recurrence, area statistics per district. Radar sees through clouds, so you get maps even during the storm.


Software: SNAP, ISCE2, ASF HyP3, LiCSAR/LiCSBAS, StaMPS, SARscape, SNAPHU, GACOS, Google Earth Engine, ArcGIS Pro, QGIS, Python.


You get GeoTIFFs, maps, time series plots and a method note. Send me your area and dates first and I will check Sentinel-1 coverage for free.

  • Tool

    • Python

Get to know Asad Basheer

Asad Basheer

GIS and Remote Sensing Expert for InSAR and Google Earth Engine

5.0(5)
  • FromPakistan
  • Member sinceJun 2021
  • Last delivery2 years

  • Languages

    English, Spanish, French, German
I'm Asad, a GIS and remote sensing specialist: PhD researcher at Tianjin University with an MS from China University of Geosciences (Wuhan). I turn satellite data into clear maps and reliable numbers: GIS mapping and spatial analysis, InSAR land subsidence, SAR flood mapping, land cover classification, land surface temperature, and machine and deep learning (Random Forest, XGBoost, SHAP, U-Net). Tools: ArcGIS Pro, QGIS, Google Earth Engine, Python, SNAP, ENVI. Professional cadastral GIS experience and 9 research publications. Message me before ordering.

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