Akajiaku11 / Flood-Susceptibility-Mapping-Using-Machine-Learning-and-Morphometric-AnalysisLinks
This project integrates Machine Learning (ML) techniques and morphometric analysis to assess flood susceptibility across four major catchments in Bayelsa State, Nigeria. The study leverages Shuttle Radar Topographic Mission (SRTM) data to extract hydrological features and applies machine
☆11Updated 3 months ago
Alternatives and similar repositories for Flood-Susceptibility-Mapping-Using-Machine-Learning-and-Morphometric-Analysis
Users that are interested in Flood-Susceptibility-Mapping-Using-Machine-Learning-and-Morphometric-Analysis are comparing it to the libraries listed below
Sorting:
- Project Schedule Adherence Dashboard is a web-based visualization tool designed to monitor project timelines, task completion progress, a…☆18Updated 4 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 …☆18Updated 5 months ago
- ☆11Updated 6 months ago
- Otutu11 / 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.☆14Updated 9 months ago
- Task Duration Estimator in Python. This tool allows users to input tasks and estimate their duration using simple weighted averages based…☆17Updated 4 months ago
- This project demonstrates how to solve a **resource allocation optimization problem** using Python and linear programming (via the `PuLP`…☆18Updated 4 months ago
- ☆15Updated 6 months ago
- A lightweight geospatial workflow for detecting shoreline changes using Sentinel-2 imagery, NDWI, and Google Earth Engine (GEE). It quant…☆20Updated 4 months ago
- The Climate Change Trend Analyzer by incorporating regional analyses and additional climate indicators. This will provide a more comprehe…☆20Updated 5 months ago
- This project provides a simple yet powerful Streamlit dashboard to estimate software development effort using historical project data and…☆20Updated 4 months ago
- This project implements a basic Rainfall-Runoff Modeling framework using the SCS Curve Number (CN) Method to assess flood risk based on d…☆20Updated last week
- This project classifies extreme weather events using synthetic data and machine learning techniques. It demonstrates how to generate real…☆16Updated 3 months ago
- Milestone-Achievement-Forecast is a predictive analytics tool that tracks project progress, evaluates performance indicators, and forecas…☆18Updated last week
- This project demonstrates a real-time data pipeline designed for IoT sensors that monitor environmental conditions such as temperature an…☆14Updated 8 months ago
- A machine learning-based project that predicts future events, trends, or milestones along a timeline using historical data, enabling accu…☆19Updated 5 months ago
- Stakeholder-Engagement-Level-Detection leverages machine learning and data analytics to assess, classify, and visualize stakeholder engag…☆17Updated 5 months ago
- To detect budget overruns by comparing actual expenses against budgeted amounts, you can use the following Python function☆19Updated 2 months ago
- An AI-driven project for predicting chlorophyll-a concentration and ocean productivity using remote sensing data, machine learning, and o…☆16Updated 2 months ago
- Sea Surface Temperature (SST) Anomaly Prediction using a deep learning approach with LSTM (Long Short-Term Memory) and visualization☆16Updated 3 months ago
- This project implements an Automated ETL (Extract, Transform, Load) Pipeline that fetches daily weather data, processes it, and stores it…☆14Updated 8 months ago
- A complete, production-ready solution for renewable energy forecasting that handles real-world challenges like missing data and temporal …☆16Updated last month
- Gantt-Chart-Auto-Generation-from-Task-Descriptions is a tool that transforms plain task descriptions into structured Gantt charts, enabli…☆17Updated 6 months ago
- This project detects water bodies from satellite imagery using remote sensing techniques and image classification algorithms, such as NDW…☆18Updated 5 months ago
- This project visualizes historical global temperature anomalies, helping to analyze temperature trends and identify significant deviation…☆10Updated 10 months ago
- Issue Severity Prediction leverages machine learning to classify and prioritize reported issues based on severity levels. Using textual a…☆18Updated last month
- his project implements a Forest Fire Detection and Alert System using sensor data (temperature, humidity, and smoke levels) to monitor fo…☆10Updated 2 months ago
- This project uses Sentinel-1 Synthetic Aperture Radar (SAR) imagery and Google Earth Engine to detect oil spills in water bodies through …☆20Updated 5 months ago
- This project provides a complete workflow for mapping, visualizing, and analyzing noise pollution levels in urban areas using geospatial …☆18Updated 5 months ago
- This project uses machine learning to predict the risk level (Low, Medium, High) of a project based on its characteristics.☆18Updated 4 months ago
- Project Phase Classification applies machine learning techniques to categorize project activities into distinct phases, supporting progre…☆19Updated last month