There have been several reports about the sinking of the Louis Armstrong International Airport. Based on a preliminary study contained in this Fox report, Descending Airports, the sinking has been linked to several damages along runways and taxiways, resulting in over $500,000 in maintenance expenditures. One lingering question remains: to what extent does land subsidence threaten infrastructures?

In this work, we utilized sentinel-1 data with probability models to evaluate the impact of land subsidence along runways and taxiways in the airport. The aim of this project is to use probability distribution to account for the uncertainty estimates of land subsidence within the airport's critical infrastructures like its runways and taxiways. We have also include a scenario based projection of possible exposure to damage by integrating the differential settlement with non-negative probability models. 

An Island country in the Southern Pacific region with over 300 Islands. This research is focused on the Northern Island also known as Vanua Levu, the second largest Island with population of ~ 200, 000. Flooding is not new in Fiji. But Subsidence could amplify the posed damages.

Here, with 250 obtained Sentinel-1 Ascending track imagery and processing at ~28 m resolution, we look to estimate the impact of subsidence on Fiji's communities in terms of hazard exposure of infrastructures as well as possible damages. Preliminary results from InSAR processing with our probability framework showed rates with their uncertainty account up to -10mm/yr across the major area and road as well as railway infrastructures.

Utilized Synthetic Aperture Radar (SAR) imagery to investigate on the shoreline variation in Lagoon Barrier Coast in Lagos State, Nigeria. 

We used Sentinel-1 GRD data covering 2016 to 2024 covering the Atlantic coast of Lagos state. This dataset were used to investigate how the shoreline has acreated or eroded within this timeframe. The all-day and night coverage of this data help to appropriately monitor the changes and also with the integration of optical Landsat 8, we were able to see the land cover change over the same period. Findings showed that between 2016 and 2018 the rate of change was -1.6 characterizing erosion; 2018 – 2020 change rates was +0.69m/yr signifying accretion while an erosion rate of -3.36m/yr ensued between 2020 and 2022. The long-term analysis between 2016 and 2022 showed a trend of erosion at the rate of -1.22m/yr. Further findings also indicate communities like Ago Hausa, Ogungbe, Ojogun, Igbolobi, Mawo Ijebu, Lekki and Ilagbo, Tarkwa Bay, Makoko, and Igbogun as part of the erosion-threatened communities while Okun-Ibese, Mobido, Idaso, and Agerige as the communities prone to accretion.