Otutu11 / Historical-Trends-and-Forecast-Future-Shoreline-Changes-1974-2024Links
The dynamic nature of shoreline changes in the Niger Delta over 50 years (1974–2024) by leveraging satellite imagery and machine learning models. Historical satellite data (Landsat, Sentinel) were analyzed to identify trends in erosion and accretion. Machine learning techniques, including time-series analysis and predictive
☆45Updated last year
Alternatives and similar repositories for Historical-Trends-and-Forecast-Future-Shoreline-Changes-1974-2024
Users that are interested in Historical-Trends-and-Forecast-Future-Shoreline-Changes-1974-2024 are comparing it to the libraries listed below
Sorting:
- A simple password manager to store account ID and password☆59Updated 4 months ago
- Expense Tracker with Budget Alerts is a smart financial management tool designed to help users monitor their spending and stay within bud…☆49Updated 11 months ago
- A face recognition Python application with a simple desktop UI☆49Updated 8 months ago
- Fake-News-Detection-Using-Machine-Learning on your GitHub. It uses scikit‑learn + TF‑IDF + Logistic Regression (default), but also lets y…☆60Updated 5 months ago
- Highly vulnerable to seasonal flooding due to its low-lying terrain, heavy rainfall, and proximity to major water bodies. Flood mapping a…☆60Updated 5 months ago
- Flood mapping and monitoring in Nigeria is a critical environmental and disaster management effort aimed at addressing the increasing pre…☆46Updated last year
- ☆51Updated 9 months ago
- Simple budget traker written in python☆49Updated 11 months ago
- This Python-based project leverages machine learning to predict air quality levels using pollutant data, simulating real-world air qualit…☆44Updated last year
- This project is a simple stock data pipeline that collects, processes, and performs analysis on live stock price data.☆46Updated last year
- The Enhanced Event-Based Analytics System is an interactive web application that tracks and visualizes user interactions on a webpage in …☆44Updated last year
- ☆49Updated 10 months ago
- The use of advanced remote sensing technologies to measure atmospheric concentrations of gases like carbon dioxide (CO₂), methane (CH₄), …☆73Updated 3 months ago
- Otutu11 / 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 …☆40Updated 8 months ago
- Climate Change Impact Analysis is a Python-based application designed to explore and analyze datasets related to temperature, precipitati…☆48Updated 7 months ago
- A face recognition Python application with a simple desktop UI☆51Updated 11 months ago
- ☆31Updated 9 months ago
- Sea Surface Temperature (SST) Anomaly Prediction using a deep learning approach with LSTM (Long Short-Term Memory) and visualization☆48Updated 6 months ago
- This project is a Python-based tool for analyzing carbon emissions and forecasting future trends. It uses synthetic data to simulate hist…☆60Updated 5 months ago
- This project applies deep learning (U-Net architecture) to detect marine debris from satellite or drone imagery.☆58Updated 3 months ago
- his project implements a Forest Fire Detection and Alert System using sensor data (temperature, humidity, and smoke levels) to monitor fo…☆41Updated 5 months ago
- To detect budget overruns by comparing actual expenses against budgeted amounts, you can use the following Python function☆49Updated 5 months ago
- An AI-driven project for predicting chlorophyll-a concentration and ocean productivity using remote sensing data, machine learning, and o…☆47Updated 5 months ago
- Milestone-Achievement-Forecast is a predictive analytics tool that tracks project progress, evaluates performance indicators, and forecas…☆53Updated 3 months ago
- This project explores CO₂ geosequestration in depleted hydrocarbon reservoirs, investigating caprock integrity and the potential role of …☆52Updated 3 months ago
- Stakeholder-Engagement-Level-Detection leverages machine learning and data analytics to assess, classify, and visualize stakeholder engag…☆39Updated 8 months ago
- A complete, production-ready solution for renewable energy forecasting that handles real-world challenges like missing data and temporal …☆46Updated 4 months ago
- Project Schedule Adherence Dashboard is a web-based visualization tool designed to monitor project timelines, task completion progress, a…☆40Updated 7 months ago
- Issue Severity Prediction leverages machine learning to classify and prioritize reported issues based on severity levels. Using textual a…☆49Updated 4 months ago
- This project provides a simple yet powerful Streamlit dashboard to estimate software development effort using historical project data and…☆41Updated 7 months ago