• Geoinformers

Training: Land Subsidence mapping using Sentinel-1


In this demo, presented in the form of a webinar is open to all registered to the Eyes' on Earth Roadshow as well as all other interested participants. You will learn how to use SAR interferometry (InSAR) to identify and map land subsidence using the ESA SNAP Sentinel-1 Toolbox. We will show you how to access the RUS Service and how to download, process, analyze and visualize the free data acquired by the Copernicus satellites.



Background

This tutorial introduces the concept and capabilities of InSAR to detect and monitor terrain motion with Sentinel-1 data, using the ESA SNAP Senitnel-1 Toolbox. Space borne InSAR is a radar satellite-based technique capableof providing precise and spatially continuous information on terrain motion over large areas. The Copernicus Sentinel-1 mission, specifically designed to collect interferometric SAR data, is opening new challenges and opportunities and increases the efficiencyof the interferometric analysis process for different applications, due to the capability of performing frequent acquisitions.

Land subsidence in Mexico City caused by groundwater overexploitation over the last century has been more than 9 meters, resulting in damages to buildings, streets, sidewalks, sewers, storm water drains and other infrastructure.Previous studies of SAR Interferometry using ERS data showed a maximum subsidence rate larger than 30 cm/year over parts of the city. Because the city is partially built on the area of a former lake (Lago Texcoco), it rests on the heavily saturated clay whichis collapsing due to the over-extraction of groundwater. Current subsidence rates using Sentinel-1 SAR data approximate 2.5 cm/month.


Schedule

13:30 – 15:00 EET

5.00 pm - 6.30pm IST

More info here


Training date

Tuesday 24th of March 2020


Application opening - closing

Sunday 15th of March 2020 - Monday 23rd of March 2020


Apply here

https://register.gotowebinar.com/register/319031400973713420


Contact: geoinformers@gmail.com, New Delhi, India

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Geoinformatics and Remote Sensing