Presentation Information
[Poster 1-24]Integrated Assessment of Seasonal Land Deformation and Long-Term Sea Level Rise in the Godavari Delta
*SMRITI KUMARI1 (1. INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR (India))
The Godavari Delta covers area roughly of 4,100 to 5,100 sq.km, stretching over 170 km. It is the second largest delta in India and is known for intense fertility and paddy cultivation. It is formed where Godavari River enters the Bay of Bengal. The study area was latitude (16°40’N–16°80’N) and Longitude (81°80’E–82°20’E) for seasonal land deformation. The sea level anomaly was calculated from latitude (15°N–18°N) and longitude(80°E–84°E).
Seasonal land deformation was analyzed using 32 Sentinel-1 SBAS interferogram pairs acquired between 2017 and 2024, representing four characteristic months (February, May, August, and November) each year. A representative multi-temporal deformation map was generated using a pixel-wise median composite to identify persistent deformation patterns. Long-term sea level variability was evaluated using Copernicus Marine Sea Level Anomaly (SLA) data covering the period 1993–2024.
Sea Level Anomaly (SLA) represents deviations of sea surface height from a reference mean sea level. The monthly mean SLA values were extracted for the region and analyzed over the study period. A linear regression model was applied to the time series to estimate long-term trend in sea level change. Each SBAS interferogram was examined to identify areas of maximum negative subsidence and positive as uplift. The maximum subsidence value and its corresponding geographic coordinates were recorded for every pair. Seasonal and annual variations were then compared to identify persistent deformation patterns and region with maximum subsidence was plotted.
The combined interpretation of land subsidence and sea level rise indicates that the delta is highly vulnerable to relative sea level rise. This increases the potential risk for coastal flooding, shoreline erosion and salt-water intrusion.
Seasonal land deformation was analyzed using 32 Sentinel-1 SBAS interferogram pairs acquired between 2017 and 2024, representing four characteristic months (February, May, August, and November) each year. A representative multi-temporal deformation map was generated using a pixel-wise median composite to identify persistent deformation patterns. Long-term sea level variability was evaluated using Copernicus Marine Sea Level Anomaly (SLA) data covering the period 1993–2024.
Sea Level Anomaly (SLA) represents deviations of sea surface height from a reference mean sea level. The monthly mean SLA values were extracted for the region and analyzed over the study period. A linear regression model was applied to the time series to estimate long-term trend in sea level change. Each SBAS interferogram was examined to identify areas of maximum negative subsidence and positive as uplift. The maximum subsidence value and its corresponding geographic coordinates were recorded for every pair. Seasonal and annual variations were then compared to identify persistent deformation patterns and region with maximum subsidence was plotted.
The combined interpretation of land subsidence and sea level rise indicates that the delta is highly vulnerable to relative sea level rise. This increases the potential risk for coastal flooding, shoreline erosion and salt-water intrusion.
Comment
To browse or post comments, you must log in.Log in