Serdan, Jayrome  <br/><br/>
A flood and landslide monitoring system using IOT and wireless sensor network/  
Jayrome Serdan, John Benedict Olpot, Dave Santillan, Alvin Pentuan, and Kian Ross Saluna .-- 
 - Manila:  Technological University of the Philippines,   2025. 
 - xii, 117pages:   29cm.  
<br/><br/> Bachelor's thesis 
<br/><br/>College of Industrial Technology .-- 
<br/><br/>Includes bibliographic references and index. 
<br/><br/> Floods and landslides were two of the greatest global threats and so require<br/>effective disaster management. Far too many places around the globe are exposed to<br/>hazards such as flooding, landslides, and earthquakes; yet early warning systems are<br/>provided only for the developed countries. Existing FLWS have limitations, such as an<br/>inadequate communication process regarding high-impact disasters, outdated<br/>communication systems, and a lack of critical information on the severity and impacts.<br/>‘This study proposes a flood and landslide monitoring system (FLMS)’, ‘using IoT and<br/>wireless sensor networks’ to enhance disaster preparedness and provide easy access to<br/>monitor floods and landslides through apps in vulnerable communities. The system<br/>integrates LiDAR sensors, Float Switch, GPS, and microcontrollers to provide accurate,<br/>real-time information and timely warnings. The FLMS is designed to improve response<br/>times, reduce loss of life, and minimize property damage. The project also aligns with the<br/>TUP and DOST agenda by advancing technology for disaster preparedness and contributes<br/>to the UN-SDG 11 by promoting ‘resilience and adapting capacity to climate-related<br/>hazards.’<br/><br/>Keywords: Wireless Sensor Network, UN-SDG 11, Flood and Landslide Monitoring<br/>System, Internet of Things, Sensor Nodes 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer engineering <br/>Software development a <br/>Flood monitoring system 
<br/><br/><label>LC Class. No.: </label>BTH QA 76.9  / S47 2025