Dogiye12 / Illegal-Logging-Detection-via-Satellite-and-MLLinks
This project demonstrates how synthetic satellite imagery data can be used to train a machine learning model for detecting illegal logging activities. Using simulated spectral bands (Red, NIR, SWIR) and derived vegetation indices (NDVI) along with texture features, the project classifies areas as either logged or non-logged.
☆51Updated 5 months ago
Alternatives and similar repositories for Illegal-Logging-Detection-via-Satellite-and-ML
Users that are interested in Illegal-Logging-Detection-via-Satellite-and-ML are comparing it to the libraries listed below
Sorting:
- Climate-Sentiment-Analysis-from-Social-Media uses AI and NLP techniques to assess public opinions on climate issues by analyzing posts, c…☆47Updated last month
- ediPredict Nigeria is an innovative healthcare solution that uses advanced machine learning algorithms to identify possible diseases base…☆50Updated 7 months ago
- Predict WQI using lab data and ML regression models (e.g., ANN, RF).☆37Updated 7 months ago
- ML/NLP system for flagging misleading content on climate topics.☆37Updated 7 months ago
- This project compares Kriging and Random Forest machine learning for spatial interpolation of rainfall using synthetic data in Google Ear…☆50Updated 5 months ago
- This project creates an interactive heatmap to visualize CO₂ emissions from power plants using geospatial data. It helps identify high-em…☆49Updated 7 months ago
- Carbon-Credit-Fraud-Detection uses data analytics and machine learning to identify suspicious transactions in carbon credit markets. It m…☆40Updated 2 months ago
- ☆33Updated 11 months ago
- ext mining of Twitter/X posts to detect local climate adaptation strategies.☆38Updated 7 months ago
- Build a robust NLP pipeline that classifies news articles as real or fake using a fine-tuned BERT model. Use a labeled dataset (LIAR or K…☆48Updated 7 months ago
- NLP model analyzing climate policy documents for actionability and effectiveness.☆37Updated 7 months ago
- A web application that enables users to dictate notes via voice and save them locally. Use the Web Speech API and JavaScript localStorage…☆48Updated 7 months ago
- Train regression models to predict yields (e.g., maize or cassava) using rainfall, temperature, and soil pH as features. Use SHAP or LIME…☆48Updated 7 months ago
- Create a simulated ransomware that encrypts user files and displays a decryption notice (for learning and training only). Demonstrates en…☆43Updated 7 months ago
- A weather application displaying current and forecasted weather with an interactive map interface. Includes location search and dynamic w…☆43Updated 7 months ago
- Add OTP-based two-factor authentication to a user login system using Flask or Django. Send codes via Twilio or email.☆47Updated 7 months ago
- ☆36Updated last week
- ☆52Updated 7 months ago
- Based on slope, rainfall, land use, and NDVI data.☆37Updated 7 months ago
- A desktop app for hospital operations including patient registration, billing, appointment scheduling, and report generation. Uses SQLite…☆35Updated 7 months ago
- ☆49Updated 7 months ago
- Implement a facial recognition system that detects and classifies emotions (happy, sad, angry, etc.) in real time using OpenCV and CNNs. …☆48Updated 7 months ago
- Use ARIMA, SARIMA, and Facebook Prophet to forecast inflation trends and food price changes in Nigeria. Include seasonal decomposition, r…☆35Updated 7 months ago
- Use GPT/Transformer models to extract key environmental risks and mitigations.☆37Updated 7 months ago
- Develop a frontend JavaScript tool that checks password complexity, entropy, and compliance with best practices. Use zxcvbn.js or a custo…☆37Updated 7 months ago
- Track prices of BTC, ETH, etc., and send alerts when price thresholds are crossed. Implement using CoinGecko API and Python-Telegram-Bot.☆47Updated 7 months ago
- Wetland Classification Using GEE and CNNs employs synthetic spectral and index features to classify land into water, wetland, and upland.…☆46Updated 4 months ago
- pchukwuemeka424 / 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 …☆36Updated 8 months ago
- RF/XGBoost model trained on morphometric, rainfall, and DEM data☆37Updated 7 months ago
- ☆37Updated 10 months ago