Data Sets for Flood Project

These files contain the key data sets used in the predictive flood detection project by Lawrence Mdegela. A total of 6 files are included: regionA.csv, regionB.csv, regionC.csv:These files provide hydrometeorological parameters derived from satellite estimates. They served as the main predictors during model development, including variables such as rainfall, temperature, relative humidity, and soil moisture. levelmain.csv:This file contains historical river level data covering the period from 1979 to 2019. It was the primary target variable for both univariate and multivariate time series forecasting models. KikuletwaTPC.csv:Historical river level data from manual stations, used for validating the sensor data collected at Kikavu Bridge. kikavu_cleaned.csv:This file represents version 3 of the cleaned sensor data collected at Kikavu Bridge, shared as part of the project. The data underwent quality control and preprocessing to ensure its reliability for analysis. Together, these data sets form the foundation of various components in the project, including model development, validation, and sensor-based real-time monitoring.