Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

clibetoe/AI-Enhanced-Wetland-Monitoring-EWS

Domaine:

environment and energygeospatial

Type de record:

project
Créateur:
cli
Hôte:
Protecting Lesotho's fragile alpine wetlands requires multi-scale monitoring. We integrate satellite/UAV remote sensing with AI/ML for classification and prediction. Crucially, community reporting ensures data validity. This creates a decision support framework for early warning and sustainable management. # AI-Enhanced-Wetland-Monitoring-EWS Protecting Lesotho's fragile alpine wetlands requires multi-scale monitoring. We integrate satellite/UAV remote sensing with AI/ML for classification and prediction. Crucially, community reporting ensures data validity. This creates a decision support framework for early warning and sustainable management. # 🗂️ AI-Enhanced Wetland Monitoring & EWS – Kanban Board ## 🟥 Project Administration - Project Overview & Vision - Supervisor Feedback Log - Stakeholder Coordination - Risk Register ## 🟧 Milestone A – Draft Proposal - Draft Proposal Writing - Define Need for Software Artefact - Initial Validation - Submit Draft Proposal ## 🟨 Milestone B – Revised Proposal - Requirements Gathering - Functional Requirements - Non-Functional Requirements - Use Cases - Algorithms & Tools - Gantt Chart - Submit Revised Proposal ## 🟩 Milestone C – Preliminary Design - Class Diagrams (Preliminary) - System Architecture Draft - Test Plans - Literature Review - Similar Systems Comparison ## 🟦 Milestone D – Refined Design - Class Diagrams (Refined) - Sequence Diagrams - Architecture - Submit Final Design ## 🟪 AI Model Development - CNN/RF Classification - Invasive Species Detection - Erosion Detection - LSTM Forecasting ## 🟫 Dashboard Development - Django Frontend - API Development - Map Integration - EWS Integration ## 🟩 Pilot Deployment - Deploy Prototype - Ground-Truth Validation - Community Feedback ## 🟦 Final Documentation - Report Writing - Manuals - Presentation - Final Submission

Visit

github.com

Tasks

computer visionimage classification

Similaires

frankacquah-blip/explainable-ews-ghana: explainable-ews-ghanaAI-Enhanced Satellite Imagery in Land Use Mapping and Monitoring in Malawi: A Comparative StudyImaging Spectroscopy for Enhancing Regional Coastal Wetland Extent MonitoringMohamedAbdallaKhalil/Subnational-EWSThapeloRanneileng/AI-Enhanced-CDMS-Webmellow012/malawi-flood-ews

frankacquah-blip/explainable-ews-ghana: explainable-ews-ghana

Initial repository setup for the MSc research project "An Explainable Early-Warning Sy

AI-Enhanced Satellite Imagery in Land Use Mapping and Monitoring in Malawi: A Comparative Study

Recent advancements in AI have enabled more accurate land use mapping through satellite ima

Imaging Spectroscopy for Enhancing Regional Coastal Wetland Extent Monitoring

Coastal wetland habitats contribute to important ecosystem services, including improved water qualit

MohamedAbdallaKhalil/Subnational-EWS

A subnational, multi-dimensional early warning system for monitoring conflict escalation in Sudan. D

ThapeloRanneileng/AI-Enhanced-CDMS-Web

AI-Enhanced CDMS for Lesotho — 4-model ML ensemble, Groq LLM explanations, QC Review Workspace, AES-

mellow012/malawi-flood-ews

Near-real-time flood early warning system for the Lower Shire Valley, Malawi