Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Machine Learning for Multi-Hazard Susceptibility in Kenya: Integrating Earth Observation and Reported Events

Creator:
PenKouSur
Publisher:
unp
Host:avatar

Visit

doi.orgwww.researchgate.net

Similar

Machine learning for earth system observation and forecastingRainRunner - Machine Learning and Earth observation for reliable rainfall information in West AfricaAdvancing Earth Observation Through Machine Learning: A TorchGeo TutorialMaize yield forecast using earth observation data and machine learning for Sub-Saharan AfricaHydroSovereign AI Engine (HSAE) v6.01: An Open-Source Platform Integrating Multi-Sensor Satellite Earth Observation, Machine Learning, and the UN Watercourses Convention 1997 for Transboundary River Basin Sovereignty AnalysisFlood risk modeling for Kisumu County, Kenya: integrating multi-source geospatial data and machine learning

Machine learning for earth system observation and forecasting

In this thesis we explore the idea of replacing complex, expensive systems for earth system observat

RainRunner - Machine Learning and Earth observation for reliable rainfall information in West Africa

<p>West Africa&#8217;s economy is mainly sustained on agriculture and over 70%

Advancing Earth Observation Through Machine Learning: A TorchGeo Tutorial

Earth observation machine learning pipelines differ fundamentally from standard computer vision work

Maize yield forecast using earth observation data and machine learning for Sub-Saharan Africa

<p>In Sub-Saharan Africa, forecasting of agricultural production is becoming increasin

HydroSovereign AI Engine (HSAE) v6.01: An Open-Source Platform Integrating Multi-Sensor Satellite Earth Observation, Machine Learning, and the UN Watercourses Convention 1997 for Transboundary River Basin Sovereignty Analysis

HydroSovereign AI Engine (HSAE) v6.01 is an open-source decision-support platform for transboundary

Flood risk modeling for Kisumu County, Kenya: integrating multi-source geospatial data and machine learning

Introduction Flooding poses an escalating threat to Kisumu County, Kenya, driv