Flood mapping and monitoring in Nigeria is a critical environmental and disaster management effort aimed at addressing the increasing prevalence of flooding due to climate change, urbanization, and poor drainage systems. It involves the use of geospatial technologies such as Geospatial,Machine Learning hydrological modeling to identify flood-pro…
☆40Dec 18, 2024Updated last year
Alternatives and similar repositories for Flood-Mapping-and-Monitoring-in-Niger-Delta-Nigeria-
Users that are interested in Flood-Mapping-and-Monitoring-in-Niger-Delta-Nigeria- are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This study explores the influence of dam management practices and rainfall variability on flood patterns in the Niger Delta.☆46Aug 6, 2025Updated last year
- This project uses Geographic Information Systems (GIS) and machine learning to monitor sandbars along the Niger River in Nigeria's Niger …☆47Sep 11, 2025Updated last year
- Nigeria's extensive marine and coastal areas are vital, but their management is fragmented. To achieve sustainable development, we must m…☆55Nov 3, 2025Updated 11 months ago
- An open-source Realtime video/audio conferencing web app with features like chat, meeting notes, summary, sharing files...☆55Apr 8, 2026Updated 6 months ago
- Air pollution constitutes a critical public health challenge in rapidly urbanising sub-Saharan African cities, where industrial activity,…☆58Mar 24, 2026Updated 7 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Understanding the spatiotemporal dynamics of sandbars along major river systems is vital for shoreline stability, sediment management, in…☆52Aug 24, 2025Updated last year
- Earthdata Search is a web application developed by NASA EOSDIS to enable data discovery, search, comparison, visualization, and access ac…☆53Aug 26, 2025Updated last year
- Apply machine learning on shoreline change, wave energy, and sediment data to model and predict future coastal erosion under sea-level ri…☆45Sep 23, 2025Updated last year
- ☆42Oct 14, 2025Updated last year
- OgaStitch is a modern mobile application designed specifically for Nigerian tailors and fashion designers. It provides a complete busines…☆41Aug 3, 2025Updated last year
- ☆54Apr 2, 2026Updated 6 months ago
- Combine IoT sensor data and machine learning to monitor and forecast water quality in rivers, lakes, or reservoirs for sustainable water …☆47Sep 16, 2025Updated last year
- ☆45Apr 4, 2026Updated 6 months ago
- ☆34Aug 12, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆47Apr 5, 2025Updated last year
- Use satellite data, population density, and climate projections to predict urban heat hotspots and assess vulnerability across cities.☆38Sep 1, 2025Updated last year
- Develop predictive models that integrate rainfall, DEM, and land-use data to map areas at risk of flooding and support early-warning syst…☆39Aug 3, 2026Updated 2 months ago
- ☆42Aug 7, 2025Updated last year
- Flooding is a recurring environmental hazard with devastating socio-economic and ecological impacts, especially in vulnerable regions lik…☆54Mar 14, 2026Updated 7 months ago
- ☆51Nov 12, 2025Updated 11 months ago
- Hybrid Machine Learning Framework for Water Quality Assessment and Contamination Clustering in the Niger Delta☆51Aug 4, 2025Updated last year
- A face recognition Python application with a simple desktop UI☆51Feb 7, 2025Updated last year
- ☆54Aug 8, 2026Updated 2 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.
- This project demonstrates oil spill detection in synthetic SAR imagery using deep learning. It generates synthetic datasets with speckle …☆69Sep 30, 2025Updated last year
- This project demonstrates an AI-driven workflow for synthetic carbon sequestration potential mapping. It generates geospatial eco-variabl…☆39Sep 23, 2025Updated last year
- Wetland Classification Using GEE and CNNs employs synthetic spectral and index features to classify land into water, wetland, and upland.…☆47Aug 19, 2025Updated last year
- The Stakeholder-Engagement-Level-Detection project applies data-driven analysis to evaluate stakeholder participation and involvement. It…☆41Aug 21, 2025Updated last year
- This project simulates a real-time disaster impact analytics platform, using synthetic geospatial data to model hazard events, assess ass…☆36Sep 16, 2025Updated last year
- A machine learning pipeline that predicts climate-driven disease spread using synthetic data. It models next-week incidence via regressio…☆36Sep 11, 2025Updated last year
- This project integrates Machine Learning (ML) techniques and morphometric analysis to assess flood susceptibility across four major catch…☆51Jun 23, 2025Updated last year
- Integrate terrain, rainfall, soil, and vegetation indices to predict landslide-prone regions and support disaster risk reduction planning…☆62Oct 3, 2025Updated last year
- Heavy-Metal-Prediction-in-Groundwater generates synthetic groundwater quality data and applies machine learning to predict heavy metal co…☆47Aug 25, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Use multi-temporal shoreline datasets and CNN/RNN for erosion prediction.☆56Sep 9, 2025Updated last year
- This project maps Urban Heat Islands using synthetic thermal imagery and machine learning in Google Earth Engine. It generates over 100 s…☆58Sep 11, 2025Updated last year
- The GHG-Emission-Dashboard-for-Nigeria-or-Global is a Streamlit-based tool that visualizes synthetic greenhouse gas emissions. It enables…☆42Aug 21, 2025Updated last year
- This project compares Kriging and Random Forest machine learning for spatial interpolation of rainfall using synthetic data in Google Ear…☆51Aug 10, 2025Updated last year
- A natural language processing project that classifies weather report text sentiment as positive, neutral, or negative, helping analyze em…☆49Aug 10, 2025Updated last year
- This project applies Sentinel-2 satellite imagery and machine learning to classify mangrove health, distinguishing healthy from stressed …☆58Sep 11, 2025Updated last year
- The use of advanced remote sensing technologies to measure atmospheric concentrations of gases like carbon dioxide (CO₂), methane (CH₄), …☆42Aug 26, 2025Updated last year