Summary
Carlos Silva is an Assistant Professor of Quantitative Forest Science at the University of Florida who blends remote sensing, AI, and quantitative ecology to advance understanding of forest structure, biomass, and disturbance dynamics. With 11 years of experience and a PhD in Natural Resources, he develops open-source tools (rGEDI, TreeTop, rLiDAR, ForestGapR, leafR, ICESat2VegR) that translate LiDAR, optical, and SAR data into actionable insights for carbon monitoring and sustainable management. His work, supported by over $9M in funding and leadership on multiple NASA, NSF, USDA, and JFSP projects, bridges academic research and practical policy needs. Previously at the University of Maryland and NASA centers, he combines deep algorithmic expertise with field-informed validation across scales from TLS plots to satellite footprints. Notably, he directs SilvaLab to democratize advanced remote sensing methods, making high-precision forest metrics broadly accessible to scientists and land managers.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Natural Resources, Doctor of Philosophy - PhD Natural Resources at University of Idaho
Forestry LiDAR remote sensing - Aplicação da tecnologia LiDAR ao Inventário Florestal, Forestry LiDAR remote sensing - Aplicação da tecnologia LiDAR ao Inventário Florestal at USP - Universidade de São Paulo
English