Carlos Alberto Silva

Assistant Professor of Quantitative Forest Science

University of Florida

United States

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About

Carlos Alberto Silva is an Assistant Professor of Quantitative Forest Science at the University of Florida, USA. His research focuses on forest ecology, including the use of laser scanning technologies and remote sensing for biomass density mapping and species diversity analysis. Recent articles include explorations of mycorrhizal symbioses, forest canopy cover mapping, and the impact of urbanization on forest carbon markets.

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Collaborators (25)

Radim Matula

Mendel University in Brno

CZECH REPUBLIC

Carlos Alberto Silva

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Articles (20)

Comparing Terrestrial and Mobile Laser Scanning Approaches for Multi-Layer Fuel Load Prediction in the Western United States

Upscaling Frameworks Drive Prediction Accuracy and Uncertainty When Mapping Aboveground Biomass Density from the Synergism of Spaceborne LiDAR, SAR, and Passive Optical Data

Mycorrhizal symbioses and tree diversity in global forest communities

Aboveground Biomass and Tree Mortality Revealed Through Multi-Scale LiDAR Analysis

Automated Detection of <i>Araraucaria angustifolia</i> (Bertol.) Kuntze in Urban Areas Using Google Earth Images and YOLOv7x

Spatial resolution for forest carbon maps

Spatial Characterization of Woody Species Diversity in Tropical Savannas Using GEDI and Optical Data

Statewide Forest Canopy Cover Mapping of Florida Using Synergistic Integration of Spaceborne LiDAR, SAR, and Optical Imagery

Analyzing Thermal Environment Contributions and Driving Factors of LST Heterogeneity in Different Urban Development Zones

The status of forest carbon markets in Latin America

Climate-Change-Driven Droughts and Tree Mortality: Assessing the Potential of UAV-Derived Early Warning Metrics

Post-Hurricane Damage Severity Classification at the Individual Tree Level Using Terrestrial Laser Scanning and Deep Learning

Crown-Level Structure and Fuel Load Characterization from Airborne and Terrestrial Laser Scanning in a Longleaf Pine (<i>Pinus palustris</i> Mill.) Forest Ecosystem

Large scale multi-layer fuel load characterization in tropical savanna using GEDI spaceborne lidar data

High-Density UAV-LiDAR in an Integrated Crop-Livestock-Forest System: Sampling Forest Inventory or Forest Inventory Based on Individual Tree Detection (ITD)

Analyzing Canopy Height Patterns and Environmental Landscape Drivers in Tropical Forests Using NASA’s GEDI Spaceborne LiDAR

A Conceptual Model for Detecting Small-Scale Forest Disturbances Based on Ecosystem Morphological Traits

Open-Source tools in R for forestry and forest ecology

Relationship between spectral variables with RapidEye images and dendrometric variables in teak plantations using principal component analysis

Climate change and deforestation increase the vulnerability of Amazonian forests to post‐fire grass invasion

Collaborators (25)

Radim Matula

Eben Broadbent

Scott Goetz

Kristina Teixeira

Jeff Atkins

Pabodha G. Galgamuwe A.

Francisco Mauro

Juan Gabriel Álvarez-González

R. Valbuena

Michael Campbell

Jingjing Liang

Daniel Johnson

Mariano Garcia

Alain Paquette

Rodrigo Vargas

Kirill Korznikov

L. Monika Moskal

Lin Jiang

Aaron Weiskittel

Krzysztof Stereńczak

Denis Valle

George Hurtt

Nobuo Imai

Jesús Aguirre Gutiérrez

Tommaso Jucker

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