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About

Midhun Mohan is a leading researcher at the intersection of remote sensing, forestry, and geospatial technology, with a particular focus on advancing drone-based applications for environmental monitoring. His most cited work, "Individual tree detection using UAV-lidar and UAV-SfM data: A tutorial for beginners" (2021, 70 citations), provides a foundational, accessible methodology for using unmanned aerial vehicles (UAVs) in forest inventory, bridging the gap between complex remote sensing data and practical field applications. This tutorial has become a key resource for students and early-career researchers entering the field. Mohan’s impact extends beyond technical methods; his case study "Applications of Drones in Emerging Economies: A case study of Malaysia" (2019, 31 citations) critically examines the socio-economic and logistical challenges of deploying UAV technology in developing regions, highlighting issues of infrastructure, regulation, and capacity building. This work underscores his commitment to making advanced geospatial tools equitable and effective across diverse global contexts. Through his research, Mohan is shaping how drones are used for sustainable forest management and environmental assessment, with a clear focus on practical, scalable solutions that empower researchers worldwide.