Enhancing Climate Resilience and Disaster Management with IoT-Driven MADNI

The Drones for Climate Action and Resilience Exchange (DCARE) project aims to build upon the technological foundation of the Maneuverable Autonomous Drone for Navigation and Intelligence (MADNI) to facilitate search and rescue across climate/disaster-impacted ecosystems. This paper investigates the adaptation of MADNI's Internet of Things (IoT) enabled sensing power to flood monitoring, disaster management, and climate resilience in Pakistan. This drone, equipped with cutting-edge environmental sensing and navigation systems, facilitates real-time data collection and analysis for efficient disaster response. Combining artificial intelligence and IoT that allows for robust deployment under challenging environments reiterates its key role in addressing sustainable development goals related to climate action, sustainable cities and communities.

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Publication Details

Published
2025-04-23
DOI
https://doi.org/10.1109/icetecc65365.2025.11070239
Primary Topic
Flood Risk Assessment and Management
Type
article
Field-Weighted Citation Impact
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article

Enhancing Climate Resilience and Disaster Management with IoT-Driven MADNI

Zafi Sherhan Syed, Muhammad Usman Hadi, Muhammad Shehram Shah Syed, Cara Rose et al.
1 links
Flood Risk Assessment and Management
article

Enhancing Climate Resilience and Disaster Management with IoT-Driven MADNI

Zafi Sherhan Syed, Muhammad Usman Hadi, Muhammad Shehram Shah Syed, Cara Rose, Rajkamal Rajathanakodi
article en

Abstract

The Drones for Climate Action and Resilience Exchange (DCARE) project aims to build upon the technological foundation of the Maneuverable Autonomous Drone for Navigation and Intelligence (MADNI) to facilitate search and rescue across climate/disaster-impacted ecosystems. This paper investigates the adaptation of MADNI's Internet of Things (IoT) enabled sensing power to flood monitoring, disaster management, and climate resilience in Pakistan. This drone, equipped with cutting-edge environmental sensing and navigation systems, facilitates real-time data collection and analysis for efficient disaster response. Combining artificial intelligence and IoT that allows for robust deployment under challenging environments reiterates its key role in addressing sustainable development goals related to climate action, sustainable cities and communities.

University of Ulster (GB), Mehran University of Engineering and Technology (PK), Department for Infrastructure (GB)
Climate action
Openalex Percentile: Top 84%
Flood Risk Assessment and Management
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Enhancing Climate Resilience and Disaster Management with IoT-Driven MADNI — Zafi Sherhan Syed, Muhammad Usman Hadi, et al. · (2025) | TGRS Research Map | TGRS