Akajiaku11 / Flood-Mapping-and-Monitoring-in-Niger-Delta-Nigeria-Links
Flood mapping and monitoring in Nigeria is a critical environmental and disaster management effort aimed at addressing the increasing prevalence of flooding due to climate change, urbanization, and poor drainage systems. It involves the use of geospatial technologies such as Geospatial,Machine Learning hydrological modeling to identify flood-pro…
☆87Updated last year
Alternatives and similar repositories for Flood-Mapping-and-Monitoring-in-Niger-Delta-Nigeria-
Users that are interested in Flood-Mapping-and-Monitoring-in-Niger-Delta-Nigeria- are comparing it to the libraries listed below
Sorting:
- This project analyzes and visualizes rainfall data for Nigeria from 2018 to 2024☆97Updated 3 months ago
- To analyze and visualize data related to the 2024 Brazil floods, providing insights into their causes, impacts, and possible mitigation s…☆96Updated 10 months ago
- This project demonstrates how to build a sales forecasting model using time series analysis. By leveraging the power of Python and the AR…☆90Updated 10 months ago
- The Enhanced Event-Based Analytics System is an interactive web application that tracks and visualizes user interactions on a webpage in …☆83Updated last year
- Predict and visualize potential plastic waste accumulation areas in the ocean using data science and machine learning☆99Updated 4 months ago
- Akajiaku11 / The-impact-of-dam-management-and-rainfall-patterns-on-flooding-in-the-Niger-Delta-Using-Sentinel-1This study explores the influence of dam management practices and rainfall variability on flood patterns in the Niger Delta.☆104Updated 4 months ago
- Akajiaku11 / Evolution-of-point-bars-along-the-Niger-River-in-the-Niger-Delta-Nigeria-using-machine-learningAssessing the evolution of point bars along the Niger River in the Niger Delta, Nigeria (1974-2024) using remote sensing and machine lear…☆83Updated last year
- This project is a simple stock data pipeline that collects, processes, and performs analysis on live stock price data.☆84Updated last year
- Identifying Suitable Dam Sites Using Geospatial Data and Machine Learning: A Case Study of the Katsina-Ala River in Benue State, Nigeria"…☆96Updated 4 months ago
- ☆75Updated last year
- This project visualizes historical global temperature anomalies, helping to analyze temperature trends and identify significant deviation…☆97Updated 4 months ago
- This project implements an Automated ETL (Extract, Transform, Load) Pipeline that fetches daily weather data, processes it, and stores it…☆102Updated 4 months ago
- The Real-Time Air Quality Ingestion System is a Python-based application designed to simulate the collection, processing, and storage of …☆111Updated 2 months ago
- This project demonstrates the use of machine learning for predicting house prices based on various features like crime rate, number of ro…☆96Updated 10 months ago
- Akajiaku11 / Utilizing-Machine-Learning-and-DSAS-to-Analyze-Historical-Trends-Forecast-Future-Shoreline-ChangeThe dynamic nature of forecasting shoreline changes in the Niger Delta over 50 years (1974–2024) by leveraging satellite imagery and mac…☆101Updated 4 months ago
- This project provides a web-based tool for detecting data drift between two uploaded Excel files. Data drift refers to the change in data…☆83Updated last year
- Akajiaku11 / Using-GIS-and-machine-learning-to-monitor-sandbars-along-the-Niger-River-in-the-Niger-Delta-Nigeria.This project uses Geographic Information Systems (GIS) and machine learning to monitor sandbars along the Niger River in Nigeria's Niger …☆112Updated 3 months ago
- This is a simple web-based application that demonstrates an NLP (Natural Language Processing) Pipeline for text classification.☆82Updated last year
- This project visualizes biodiversity levels across urban and rural areas using an interactive map and a heatmap. The goal is to compare a…☆78Updated last year
- The Multichannel Analysis of Surface Waves (MASW) method is pivotal for non-invasive subsurface shear-wave velocity profiling, essential …☆66Updated last year
- The use of advanced remote sensing technologies to measure atmospheric concentrations of gases like carbon dioxide (CO₂), methane (CH₄), …☆75Updated last year
- This project demonstrates a real-time data pipeline designed for IoT sensors that monitor environmental conditions such as temperature an…☆97Updated 4 months ago
- his project implements a Forest Fire Detection and Alert System using sensor data (temperature, humidity, and smoke levels) to monitor fo…☆83Updated last year
- This is an interactive Air Quality Monitoring Dashboard that visualizes real-time air quality data across various cities. The dashboard f…☆81Updated last year
- his project will walk you through building an API to serve climate data, which can be accessed and queried using Python. The steps involv…☆83Updated last year
- Climate Change Impact Analysis is a Python-based application designed to explore and analyze datasets related to temperature, precipitati…☆85Updated 11 months ago
- The Energy Consumption Analytics Platform is a data engineering project designed to collect, process, store, and analyze energy usage dat…☆83Updated last year
- This project predicts the quality of water based on various water parameters and pollutants using machine learning and deep learning tech…☆98Updated 10 months ago
- This project simulates a real-time water quality monitoring system, which collects, processes, and displays water quality data such as pH…☆87Updated last year
- Akajiaku11 / Predictive-Modeling-of-Iron-Concentration-in-Groundwater-Using-Machine-Learning-TechniquesA Chart for Water Parameters is a visual representation of key water quality indicators, such as pH, turbidity, dissolved oxygen, conduct…☆97Updated 4 months ago