Dogiye12 / River-Network-Extraction-with-Deep-LearningLinks
This project automates river network extraction from satellite imagery using deep learning. It employs a U-Net architecture for precise segmentation, saving model outputs and training history for analysis.
☆16Updated last month
Alternatives and similar repositories for River-Network-Extraction-with-Deep-Learning
Users that are interested in River-Network-Extraction-with-Deep-Learning are comparing it to the libraries listed below
Sorting:
- Scrape and display tech and cybersecurity news headlines in real time using NewsAPI. Allow user-selected topics and push notifications.☆18Updated 5 months ago
 - This project demonstrates how synthetic satellite imagery data can be used to train a machine learning model for detecting illegal loggin…☆15Updated 2 months ago
 - This project generates captions for synthetic satellite imagery using machine learning, describing environmental features such as vegetat…☆14Updated 2 months ago
 - Forecast AQI using LSTM/GRU models on PM2.5, NOx, CO data.☆14Updated 5 months ago
 - This project applies Sentinel-2 satellite imagery and machine learning to classify mangrove health, distinguishing healthy from stressed …☆16Updated last month
 - Sustainability Impact Estimator for Products uses data-driven methods to assess environmental impacts of products across their lifecycle.…☆14Updated last month
 - This project compares Kriging and Random Forest machine learning for spatial interpolation of rainfall using synthetic data in Google Ear…☆15Updated 2 months ago
 - Use multi-temporal shoreline datasets and CNN/RNN for erosion prediction.☆15Updated last month
 - ML/NLP system for flagging misleading content on climate topics.☆13Updated 5 months ago
 - NLP model analyzing climate policy documents for actionability and effectiveness.☆13Updated 5 months ago
 - ☆13Updated 5 months ago
 - This project demonstrates oil spill detection in synthetic SAR imagery using deep learning. It generates synthetic datasets with speckle …☆16Updated last month
 - This project uses synthetic environmental data and AI to track progress toward Sustainable Development Goals (SDGs). It computes a compos…☆15Updated last month
 - This project leverages crowdsourced data and machine learning to detect and classify environmental issues. It empowers communities and or…☆13Updated last month
 - ☆14Updated 5 months ago
 - ☆13Updated last week
 - This project leverages machine learning to optimize how philanthropic resources are allocated for addressing climate change. By analyzing…☆14Updated last month
 - Heavy-Metal-Prediction-in-Groundwater generates synthetic groundwater quality data and applies machine learning to predict heavy metal co…☆13Updated 2 months ago
 - This project uses AI to map biodiversity hotspots by analyzing environmental variables and species richness data. A machine learning mode…☆15Updated 4 months ago
 - Predict WQI using lab data and ML regression models (e.g., ANN, RF).☆13Updated 5 months ago
 - A synthetic machine learning pipeline for forecasting agricultural yields under climate change. It integrates climate, soil, management, …☆15Updated 2 months ago
 - Semi-automated change detection tool using PCA + supervised ML classifiers.☆13Updated 5 months ago
 - ext mining of Twitter/X posts to detect local climate adaptation strategies.☆14Updated 5 months ago
 - ☆13Updated 5 months ago
 - ☆13Updated 5 months ago
 - ☆13Updated 5 months ago
 - ☆13Updated last week
 - ESG-Risk-Analysis-with-NLP utilizes Natural Language Processing to assess Environmental, Social, and Governance risks from text data. It …☆13Updated 3 weeks ago
 - Based on slope, rainfall, land use, and NDVI data.☆13Updated 5 months ago
 - ML classifier for detecting stressed crops using spectral signature data.☆13Updated 5 months ago