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Summary of Proposal MTH0374

TitleDetection of active faults and determination of a vertical deformation model from InSAR and geodetic data for temporal variation corrections to geodetic leveling network.
Investigator Esquivel, Ruben - Instituto Nacional de Estadistica y Geografia (INEGI), Geodetic Processing
Team Member
Geologist Barrientos, Alejandro - National Institute of Statistics and Geography (INEGI), Geology and Physiography
PhD, researcher Lira, Jorge - National Autonomous University of Mexico (UNAM), Institute of Geophysics

In Mexico there are many cases of zones that present local deformation phenomena like subsidence or near volcanic activity. These local deformations affect geodetic leveling networks causing vertical displacements of level benchmarks and induce inconsistencies in the network adjustments. A vertical displacement model can help to maintain the consistency of the geodetic leveling networks by means of the application of time displacement corrections.

There are two main objectives:
1. Geological analysis of block displacements from TerraSAR-X data and ASTER images for detection of hazard zones.
2. To define a methodology for vertical displacement model generation using DInSAR with TerraSAR-X in combination with geodetic leveling, gravity and GPS data available to determine temporal variation corrections to leveling data.

  • Estimation of vertical displacements from GPS monitoring surveys and geodetic data available.
  • Generation of displacement maps from TerraSAR-X data.
  • To detect hazard zones at the study area.
  • To obtain a vertical displacement model based on DInSAR and GPS.
  • To make a least square adjustment applying corrections for temporal homogenization from the vertical displacements model to the geodetic leveling observations within the zone of interest.
  • Evaluation and documentation of results of the method applied.


We will use of a combination of Aster optical images and SAR differential interferometry method using TerraSAR-X data in order to obtain ground block displacements and a ruggedness descriptor.

The data from GPS monitoring surveys and other geodetic data will be used to estimate ground displacements and to get a vertical displacement models, then we will use Kriging geostatistical method to get a combined InSAR and geodetic data based vertical deformation model to finally apply corrections due to temporal variations from the InSAR/Geodetic data model to a leveling network in a least squares adjustment model.

  1. Four Multitemporal TerraSAR-X Interferometric Spotlight SSC for the study area. Incidence angle range: 45 to 55.
  2. Aster image of the study area (by own resources).
  3. GPS monitoring surveys and other geodetic data.

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DLR 2004-2016