Shruthi Srinivasan
Papers
1
Total Citations
70
H-Index
1
About
Shruthi Srinivasan is a leading researcher in geospatial technology and forest ecology, with a primary focus on advancing unmanned aerial vehicle (UAV) applications for environmental monitoring. Her work bridges remote sensing, structure-from-motion (SfM) photogrammetry, and machine learning to improve forest inventory and management practices. Srinivasan’s most cited paper, *Individual tree detection using UAV-lidar and UAV-SfM data: A tutorial for beginners* (2021, 70 citations), provides a foundational, accessible guide for researchers and practitioners, demonstrating her commitment to democratizing complex analytical methods. This tutorial has become a key resource in the field, enabling broader adoption of UAV-based tree detection. Beyond this, her contributions include developing robust workflows for extracting individual tree metrics from high-resolution data, directly impacting carbon stock estimation and biodiversity assessment. With a growing citation record reflecting the practical utility of her work, Srinivasan is recognized for translating cutting-edge technology into actionable tools for forest science. Her efforts have been instrumental in training the next generation of researchers, making her a pivotal figure in the integration of UAVs into ecological research and sustainable resource management.
Research Focus
Key Achievements
Top Papers
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