Dr. Nadeem Fareed | Artificial Intelligence | Research Excellence Award

Dr. Nadeem Fareed | University of Florida | United States

Dr. Nadeem Fareed Over the past two decades, Light Detection and Ranging (LiDAR) has evolved from early NASA-led airborne laser altimetry into a mature and widely adopted technology for vegetation remote sensing. Advances in laser engineering, signal processing, IMU/GNSS integration, and carrier platforms such as UAS, MLS, and SLAM systems have enabled multiscale observations of vegetation structure and dynamics. This review synthesizes developments in ALS discrete-return and full-waveform systems, photon-counting, multispectral, and hyperspectral LiDAR, alongside modern data fusion and AI-driven processing approaches. The body of work comprises 11 documents, receiving 138 citations from 135 publications, with an h-index of 7.

Citation Metrics (Scopus)

150

120

Citations
138

Documents
11

h-index
7

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Featured Publications

Interdisciplinary Applications of LiDAR in Forest Studies: Advances in Sensors, Methods, and Cross-Domain Metrics – Remote Sensing, 2026

Evaluating the Impact of Field-Measured Tree Height Errors Correction on Aboveground Biomass Modeling Using Airborne Laser Scanning and GEDI Datasets in Brazilian Amazonia – Trees, Forests and People, 2025

Aboveground Biomass Modeling Using Simulated GEDI Waveform LiDAR and Forest Inventories in Amazonian Rainforests – Forest Ecology and Management, 2025

UAS Quality Control and Crop Three-Dimensional Characterization Framework Using Multi-Temporal LiDAR Data – Remote Sensing, 2024

Quality Control and Crop Characterization Framework Using UAS LiDAR Point Clouds over Agricultural Fields – ASABE Annual International Meeting, 2023

NASA ICESat-2: Space-Borne LiDAR for Geological Education and Field Mapping of Aeolian Sand Dune Environments – Remote Sensing, 2023