International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 186 - Number 60 |
Year of Publication: 2025 |
Authors: Asunbiaro Sileola Charles, Oluwadare Samuel Adebayo, Ojokoh Bolanle Adefowoke, Ibam Onwuka |
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Asunbiaro Sileola Charles, Oluwadare Samuel Adebayo, Ojokoh Bolanle Adefowoke, Ibam Onwuka . Floods to Food Crisis: A Satellite Image-based Numerical Extraction for Impact Analysis of Climate Change. International Journal of Computer Applications. 186, 60 ( Jan 2025), 15-21. DOI=10.5120/ijca2025924334
Flood is a natural disaster that has affected many parts of the world with devastating consequences to properties, farmlands, humans and animals. Climate change - a global phenomenon could be seen as the major driving force with one of its negative effects being unusual heavy rainfall. Hardly can one find any country without a past or current history of a significant flooding. Even nations with robust flood risk management are not left out with hundreds of lives and many properties worth billions of dollars lost. Flood analysis was performed on Lagos State as region of interest because of many water bodies that surround the city and its constant flooding history. The flooding analysis was extended to its neighbouring States in the southwest and states in other regions making a total of 8 states investigated Google Earth Engine (GEE) cloud platform was used for coding, visualization and data source. Satellite imageries such as global surface water, hydroSHEDS DEM, Global human settlement population density layer and MODIS – cropland were sourced from the GEE. Maps showing the flooded areas were generated. Numerical data were extracted as CSV from the satellite images, showing the number of population, hectares of exposed flooded areas and affected farmland. For all the 8 States investigated a total of 529,061 persons were exposed, 468,823 hectares of land were flooded out of which 53,020 hectares were farmland. It was concluded that aside insecurity ravaging the country, the impact of the 2022 flooding on land and the people has surely added to the sudden high cost of crop produce since 2023 which has become even worse in 2024.