Divya Sekhar Vaka

About

Dr. Divya Sekhar Vaka is a Satellite Remote Sensing Analyst at GEOFEM, with experience in InSAR for infrastructure and environmental monitoring. He holds a PhD in SAR Interferometry from the Indian Institute of Technology Bombay and an MTech in Remote Sensing from Andhra University, India. His expertise lies in using InSAR for monitoring and analyzing urban subsidence, slope stability (including landslides, mines, tailing dams), subsidence due to oil/natural gas extraction, groundwater exploitation, and earthquake deformations, with a specific focus on land and geohazards. He is a member of IEEE, IEEE-GRSS, ISPRS, and ISRS. He has participated, published, and reviewed technical papers in reputed conferences and journals.

Dr. Vaka has been a team member on several projects funded by the European Space Agency and other European funding bodies, and he has successfully completed numerous commercial projects. His interests and skills encompass a wide range of areas, including machine learning, deep learning, geophysical modeling, GPS-GNSS, SAR-optical data fusion, change detection, sea level rise, and geospatial analysis.

Employment

• GEOFEM Satellite Remote Sensing Analyst
  2023 - Present
• Hexagon Capability Centre India Pvt. Ltd. Software Analyst
  2014 - 2016

Education

• Indian Institute of Technology Bombay Ph.D.
  2016 - 2022
• Andhra University M.Tech.
  2012 - 2014
• Jawaharlal Nehru Technological University - Kakinada B.Tech.
  2008 - 2012

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Land Subsidence Susceptibility Modelling in Attica, Greece: A Machine Learning Approach Using InSAR and Geospatial Data
  Earth 2025 DOI: 10.3390/earth6030061
  +Save
• InSAR Integrated Machine Learning Approach for Landslide Susceptibility Mapping in California
  Remote Sensing 2024 DOI: 10.3390/rs16193574
  +Save
• Time series analysis of the pre-seismic and post-seismic surface deformation of the 2017 Iran–Iraq earthquake derived from Sentinel-1 InSAR data
  Journal of Earth System Science 2023 DOI: 10.1007/s12040-023-02085-2
  +Save
• Time series SAR interferometry approach for landslide identification in mountainous areas of Western Ghats, India
  Journal of Earth System Science 2022 DOI: 10.1007/s12040-022-01876-3
  +Save
• Surface displacements of the 12 November 2017 Iran–Iraq earthquake derived using SAR interferometry
  Geocarto International 2021 DOI: 10.1080/10106049.2019.1618927
  +Save
• Vertical Accuracy Assessment of TanDEM-X Global DEM over various Indian Terrains
  2019 URSI Asia-Pacific Radio Science Conference (AP-RASC) 2019 DOI: 10.23919/ursiap-rasc.2019.8738354
  +Save
• TIME SERIES ANALYSIS OF SURFACE DEFORMATION OF BENGALURU CITY USING SENTINEL-1 IMAGES
  ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences 2018 DOI: 10.5194/isprs-annals-iv-5-473-2018
  +Save
• MAPPING SURFACE FLOW VELOCITIES OF SIACHEN AND GANGOTRI GLACIERS USING TERRASAR-X AND SENTINEL-1A DATA BY INTENSITY TRACKING
  ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences 2018 DOI: 10.5194/isprs-annals-iv-5-325-2018
  +Save
• Deformation of Bhuj Earthquake Area Obtained with Persistent Scatterer Interferometric Analysis of Alos L-Band Sar Data
  IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium 2018 DOI: 10.1109/igarss.2018.8519072
  +Save
• Comparison of HH and VV Polarizations for Deformation Estimation using Persistent Scatterer Interferometry
  38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017 2017
  +Save