Nelvinebi / Mangrove-Forest-Health-Assessment-Using-NDVI-NDWI-IndicesLinks
This project simulates mangrove forest health assessment using NDVI and NDWI indices derived from synthetic spectral data. It classifies vegetation health into Healthy, Moderate, or Unhealthy categories and visualizes the results for educational and prototyping purposes in remote sensing and environmental monitoring.
☆7Updated last month
Alternatives and similar repositories for Mangrove-Forest-Health-Assessment-Using-NDVI-NDWI-Indices
Users that are interested in Mangrove-Forest-Health-Assessment-Using-NDVI-NDWI-Indices are comparing it to the libraries listed below
Sorting:
- This project simulates and analyzes synthetic Sea Surface Temperature (SST) data to demonstrate climate study techniques, including trend…☆7Updated last month
- ☆7Updated 3 months ago
- ☆6Updated 3 months ago
- This project forecasts ocean current speeds using synthetic time series data and machine learning models. It demonstrates how lag-based f…☆7Updated last month
- ☆7Updated 3 months ago
- ☆6Updated 3 months ago
- ☆6Updated 3 months ago
- ☆7Updated 3 months ago
- ☆4Updated 3 months ago
- ☆7Updated 3 months ago
- This project uses Multi-Criteria Decision Analysis (MCDA) to assess and rank project sites based on environmental impact. It analyzes syn…☆7Updated last month
- ☆7Updated 3 months ago
- This project simulates blue carbon habitat classification using synthetic NDVI and NDWI data, estimates associated carbon stocks, and vis…☆8Updated 2 months ago
- ☆16Updated 3 months ago
- ☆7Updated 3 months ago
- ☆16Updated 3 months ago
- ☆16Updated 3 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
- ☆16Updated 2 weeks ago
- ☆6Updated 3 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
- Urban Heat Island (UHI) analysis combines satellite, climate, and urban data to model city-scale temperature anomalies. We assemble open …☆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
- ☆7Updated 3 months ago
- ☆7Updated 3 months ago
- This project models fish catch using synthetic oceanographic data (temperature, salinity, chlorophyll) with linear regression. It generat…☆7Updated 2 months ago
- ☆15Updated 3 months ago
- This project provides a complete workflow for mapping, visualizing, and analyzing noise pollution levels in urban areas using geospatial …☆16Updated 2 months ago
- ☆16Updated 3 months ago
- ☆6Updated 3 months ago