This project uses AI to map biodiversity hotspots by analyzing environmental variables and species richness data. A machine learning model predicts high-biodiversity areas, supporting conservation planning and ecological research with spatially explicit outputs.
☆62Jun 6, 2025Updated last year
Alternatives and similar repositories for AI-based-Biodiversity-Hotspot-Mapping
Users that are interested in AI-based-Biodiversity-Hotspot-Mapping are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A machine learning project for predicting noise pollution levels using environmental and spatial features. Built for analysis, mapping, a…☆50Apr 2, 2025Updated last year
- A Hybrid Machine Learning Framework for Water Quality Assessment and Contamination Clustering in the Niger Delt☆55Apr 18, 2026Updated 3 months ago
- This project uses synthetic environmental data and AI to track progress toward Sustainable Development Goals (SDGs). It computes a compos…☆55Sep 11, 2025Updated 10 months ago
- This project generates captions for synthetic satellite imagery using machine learning, describing environmental features such as vegetat…☆48Aug 19, 2025Updated 11 months ago
- This project maps Urban Heat Islands using synthetic thermal imagery and machine learning in Google Earth Engine. It generates over 100 s…☆57Sep 11, 2025Updated 10 months ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Use multi-temporal shoreline datasets and CNN/RNN for erosion prediction.☆56Sep 9, 2025Updated 10 months ago
- A synthetic machine learning pipeline for forecasting agricultural yields under climate change. It integrates climate, soil, management, …☆61Sep 3, 2025Updated 10 months ago
- Time-series flood map generator using Sentinel-1 and GEE scripting.☆77Oct 10, 2025Updated 9 months ago
- A Hybrid AI Model Integrating LSTM, XGBoost, and K-Means for Interpretable Prediction and Clustering of Water Quality in Data-Scarce Regi…☆68Mar 13, 2026Updated 4 months ago
- This project creates an interactive heatmap to visualize CO₂ emissions from power plants using geospatial data. It helps identify high-em…☆68Jun 11, 2025Updated last year
- RR is a data-driven research project that integrates geospatial analysis, machine learning, and environmental monitoring to analyze histo…☆43Sep 1, 2025Updated 10 months ago
- ☆42Aug 7, 2025Updated 11 months ago
- This project demonstrates Active Learning with synthetic data, showing how models improve by labeling only the most uncertain samples. St…☆42Sep 22, 2025Updated 10 months ago
- The Carbon-Footprint-Estimator-App helps users calculate and track their carbon emissions from daily activities, promoting eco-friendly c…☆44Aug 11, 2025Updated 11 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- The Stakeholder-Engagement-Level-Detection project applies data-driven analysis to evaluate stakeholder participation and involvement. It…☆41Aug 21, 2025Updated 11 months ago
- The GHG-Emission-Dashboard-for-Nigeria-or-Global is a Streamlit-based tool that visualizes synthetic greenhouse gas emissions. It enables…☆42Aug 21, 2025Updated 11 months ago
- This project uses an LSTM neural network to predict air quality (PM2.5) from synthetic time-series data. It includes data generation, nor…☆42Aug 25, 2025Updated 11 months ago
- A Backend Webservice for Spring Food frontend application☆24Dec 9, 2024Updated last year
- NLP model analyzing climate policy documents for actionability and effectiveness.☆38May 26, 2025Updated last year
- RF/XGBoost model trained on morphometric, rainfall, and DEM data☆38May 26, 2025Updated last year
- This project demonstrates how synthetic satellite imagery data can be used to train a machine learning model for detecting illegal loggin…☆51Aug 11, 2025Updated 11 months ago
- ML/NLP system for flagging misleading content on climate topics.☆37May 26, 2025Updated last year
- A GIS-based model that combines exposure, sensitivity, and adaptive capacity indicators.☆32May 26, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- rust implementation of html to pdf...☆26May 4, 2025Updated last year
- This project automates river network extraction from satellite imagery using deep learning. It employs a U-Net architecture for precise s…☆58Sep 11, 2025Updated 10 months ago
- This project compares Kriging and Random Forest machine learning for spatial interpolation of rainfall using synthetic data in Google Ear…☆50Aug 10, 2025Updated 11 months ago
- Wetland Classification Using GEE and CNNs employs synthetic spectral and index features to classify land into water, wetland, and upland.…☆47Aug 19, 2025Updated 11 months ago
- Forecast AQI using LSTM/GRU models on PM2.5, NOx, CO data.☆38May 26, 2025Updated last year
- The Citizen Complaint Categorization in Environmental Agencies" project generates synthetic environmental complaint data and trains a mac…☆49Aug 12, 2025Updated 11 months ago
- an ai model for geospatial images in realtime☆31Jan 28, 2026Updated 6 months ago
- his project will walk you through building an API to serve climate data, which can be accessed and queried using Python. The steps involv…☆101Nov 26, 2024Updated last year
- This project applies Sentinel-2 satellite imagery and machine learning to classify mangrove health, distinguishing healthy from stressed …☆58Sep 11, 2025Updated 10 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A natural language processing project that classifies weather report text sentiment as positive, neutral, or negative, helping analyze em…☆49Aug 10, 2025Updated 11 months ago
- Based on slope, rainfall, land use, and NDVI data.☆37May 26, 2025Updated last year
- This Python-based project leverages machine learning to predict air quality levels using synthetic pollutant data, simulating real-world …☆34Mar 13, 2025Updated last year
- Use GPT/Transformer models to extract key environmental risks and mitigations.☆37May 26, 2025Updated last year
- This project uses machine learning regression techniques to reconstruct paleoclimate conditions from proxy data such as isotope ratios, p…☆48Jun 4, 2025Updated last year
- A site dedicated to tutorials, course and other learning materials and resources developed by the Earth Lab team☆26Jul 21, 2025Updated last year
- Highly vulnerable to seasonal flooding due to its low-lying terrain, heavy rainfall, and proximity to major water bodies. Flood mapping a…☆29Jul 14, 2025Updated last year