Samir Al‐Mashharawi
Papers
1
Total Citations
1
H-Index
1
About
Samir Al‐Mashharawi is a researcher at the forefront of precision forestry and agricultural robotics, specializing in the integration of low-cost sensing technologies with agile robotic platforms. His work focuses on developing scalable, automated methods for measuring tree structural properties—such as diameter at breast height (DBH), height, and crown volume—using low-resolution LIDAR mounted on ground-based robots. This approach directly addresses the inefficiencies of traditional manual surveys, offering a faster, more consistent means of estimating aboveground biomass and carbon stocks, which is critical for climate change mitigation and sustainable forest management. His most-cited paper, published in 2025, has already garnered attention for its practical application in silviculture, demonstrating how accessible hardware can yield high-impact ecological data. Al‐Mashharawi’s contributions are particularly notable for bridging the gap between field ecology and robotics, making advanced forest monitoring more affordable and deployable. His work holds significant promise for transforming how researchers and land managers track forest health and carbon dynamics in an era of rapid environmental change.
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Top Papers
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