Akajiaku1 / Mangrove-Health-Monitoring-Using-NDVI-and-MLLinks
This project focuses on assessing the health of mangrove ecosystems using satellite-derived vegetation indices, particularly the Normalized Difference Vegetation Index (NDVI), combined with Machine Learning (ML) models.
☆19Updated 2 months ago
Alternatives and similar repositories for Mangrove-Health-Monitoring-Using-NDVI-and-ML
Users that are interested in Mangrove-Health-Monitoring-Using-NDVI-and-ML 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…☆15Updated 2 months ago
- The Climate Change Trend Analyzer by incorporating regional analyses and additional climate indicators. This will provide a more comprehe…☆18Updated 2 months ago
- This Python-based project leverages machine learning to predict air quality levels using synthetic pollutant data, simulating real-world …☆4Updated 8 months ago
- This project is a simple stock data pipeline that collects, processes, and performs analysis on live stock price data.☆4Updated 7 months ago
- This project demonstrates how to solve a **resource allocation optimization problem** using Python and linear programming (via the `PuLP`…☆15Updated 2 months ago
- Task Duration Estimator in Python. This tool allows users to input tasks and estimate their duration using simple weighted averages based…☆14Updated 2 months ago
- Urban Heat Island (UHI) analysis combines satellite, climate, and urban data to model city-scale temperature anomalies. We assemble open …☆18Updated 2 months ago
- ☆7Updated 3 months ago
- A lightweight geospatial workflow for detecting shoreline changes using Sentinel-2 imagery, NDWI, and Google Earth Engine (GEE). It quant…☆17Updated 2 months ago
- his project implements a Forest Fire Detection and Alert System using sensor data (temperature, humidity, and smoke levels) to monitor fo…☆4Updated 7 months ago
- ☆15Updated 3 months ago
- ☆16Updated 3 months ago
- An AI-powered early warning system that detects environmental hazards using synthetic sensor data. Built with Streamlit and a Random Fore…☆7Updated last month
- This project predicts chlorophyll-a concentrations in coastal waters using synthetic remote sensing reflectance data and machine learning…☆7Updated last month
- ☆6Updated 3 months ago
- ☆7Updated 3 months ago
- ☆6Updated 3 months ago
- ☆7Updated 3 months ago
- ☆7Updated 3 months ago
- ☆7Updated 3 months ago
- Nelvinebi / Utilizing-Machine-Learning-and-DSAS-to-Analyze-Historical-Trends-Forecast-Future-Shoreline-ChangeThe dynamic nature of shoreline changes in the Niger Delta over 50 years (1974–2024) by leveraging satellite imagery and machine learnin…☆4Updated 5 months ago
- ☆7Updated 3 months ago
- ☆7Updated 3 months ago
- ☆6Updated 3 months ago
- ☆16Updated 2 weeks ago
- This project simulates blue carbon habitat classification using synthetic NDVI and NDWI data, estimates associated carbon stocks, and vis…☆8Updated 2 months ago
- This project models fish catch using synthetic oceanographic data (temperature, salinity, chlorophyll) with linear regression. It generat…☆7Updated 2 months ago
- ☆6Updated 3 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…☆18Updated 2 months ago
- This project provides a simple yet powerful Streamlit dashboard to estimate software development effort using historical project data and…☆17Updated 2 months ago