Luis A. Ruiz

Professor

Universitat Politècnica de València

Spain

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Professor Luis A. Ruiz is a faculty member at Universitat Politècnica de València, Spain. His research focuses on UAV photogrammetry, machine learning applications in agriculture, and forest structure analysis. Recent publications include studies on biomass estimation for fire behavior modeling and urban tree species identification using point cloud data. He is also involved in projects related to rice yield prediction and evapotranspiration assessment in agricultural systems.

Articles (19)

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2025

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2020

Collaborators (2)

Josep E. Pardo-Pascual

Professor

Universitat Politècnica de València

SPAIN

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Pablo Crespo-Peremarch

Valencian International University

SPAIN

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Luis A. Ruiz

Research Interests

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Contact this professor

About

Articles (19)

Fuel Species Classification and Biomass Estimation for Fire Behavior Modeling Based on UAV Photogrammetric Point Clouds

Processing and classification methods of UAV photogrammetric point clouds for forest structure and fire behaviour analysis

Urban Tree Species Identification Based on Crown RGB Point Clouds Using Random Forest and PointNet

Rice Yield Prediction Using Spectral and Textural Indices Derived from UAV Imagery and Machine Learning Models in Lambayeque, Peru

Class3Dp: A supervised classifier of vegetation species from point clouds

Relationships of Fire Rate of Spread with Spectral and Geometric Features Derived from UAV-Based Photogrammetric Point Clouds

Estimation of evapotranspiration from UAV high-resolution images for irrigation systems in rice fields on the northern coast of Peru

Rice Crop Yield Prediction from Sentinel-2 Imagery Using Phenological Metric

Mapping Polylepis Forest Using Sentinel, PlanetScope Images, and Topographical Features with Machine Learning

Analyzing Independent LFMC Empirical Models in the Mid-Mediterranean Region of Spain Attending to Vegetation Types and Bioclimatic Zones

Tree Species Identification in Urban Environments Using TensorFlow Lite and a Transfer Learning Approach

Live Fuel Moisture Estimation Using Sentinel 2 Data in Non-Monospecific Mediterranean Shrublands

Analyzing TLS Scan Distribution and Point Density for the Estimation of Forest Stand Structural Parameters

Classification of Mediterranean Shrub Species from UAV Point Clouds

Empirical Models for Spatio-Temporal Live Fuel Moisture Content Estimation in Mixed Mediterranean Vegetation Areas Using Sentinel-2 Indices and Meteorological Data

Modeling Phenols, Anthocyanins and Color Intensity of Wine Using Pre-Harvest Sentinel-2 Images

Modeling °Brix and pH in Wine Grapes from Satellite Images in Colchagua Valley, Chile

Identifying urban growth patterns through land-use/land-cover spatio-temporal metrics: Simulation and analysis

Processing and analysis of airborne full-waveform laser scanning data for the characterization of forest structure and fuel properties

Collaborators (2)

Josep E. Pardo-Pascual

Pablo Crespo-Peremarch

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