Publications (51) ENOC SANZ ABLANEDO publications View referenced research data.

filter_list

2025

  1. Absent Voices and Unwarranted Presences: A Combined Multi-Approach to Mapping the Roman Hydraulic System Supplying Las Médulas Gold Mine (NW, Iberia)

    Geosciences (Switzerland), Vol. 15, Núm. 1

  2. S34I Project: Secure and Sustainable Supply of Raw Materials for EU Industry

    International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM - Proceedings

2024

  1. Clasificación automática de macroalgas marinas mediante análisis discriminante lineal (LDA) a partir de reflectancia medida en campo

    Teledetección y Cambio Global: Retos y Oportunidades para un Crecimiento Azul. XX Congreso de la Asociación Española de Teledetección

  2. EvulcaRED: estudio de vulnerabilidad y riesgos geológicos aplicado a la red hidráulica de Las Médulas (León, España)

    Geotemas (Madrid), Núm. 20, pp. 439

  3. Quantifying Asian chestnut gall wasp (Dryokosmus kuriphilus Yasumatsu) impact on fruit yield and on tree growth using terrestrial LiDAR

    Scientia Horticulturae, Vol. 332

2023

  1. Fotogrametría SfM-MVS con drones: lección inaugural del curso académico 2023-2024, Campus de Ponferrada

    Universidad de León

  2. Leaf Trait Hyperspectral Characterization of Castanea sativa Miller Affected by Dryocosmus kuriphilus Yasumatsu

    Agronomy, Vol. 13, Núm. 3

  3. Total Soluble Solids in Grape Must Estimation Using VIS-NIR-SWIR Reflectance Measured in Fresh Berries

    Agronomy, Vol. 13, Núm. 9

2022

  1. Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non-forest ecosystems

    Remote Sensing in Ecology and Conservation, Vol. 8, Núm. 1, pp. 57-71

2021

  1. Estimating Soil Properties and Nutrients by Visible and Infrared Diffuse Reflectance Spectroscopy to Characterize Vineyards

    Agronomy, Vol. 11, Núm. 10

  2. High-resolution drone-acquired RGB imagery to estimate spatial grape quality variability

    Agronomy, Vol. 11, Núm. 4

  3. Imágenes RGB de alta resolución adquiridas por drones para estimar la variabilidad espacial de la calidad de la uva

    VII Jornadas de investigadoras de Castilla y León [Recurso electrónico]: la aventura de la ciencia y la tecnología (Fundación 3CIN), pp. 61

  4. Influence of the Number and Spatial Distribution of Ground Control Points in the Accuracy of UAV-SfM DEMs: An Approach Based on Generalized Additive Models

    IEEE Transactions on Geoscience and Remote Sensing, Vol. 59, Núm. 12, pp. 10618-10627

  5. Unraveling the morphological constraints on roman gold mining hydraulic infrastructure in nw spain. A uav-derived photogrammetric and multispectral approach

    Remote Sensing, Vol. 13, Núm. 2, pp. 1-24

  6. Vineyard pruning weight prediction using 3D point clouds generated from UAV imagery and structure from motion photogrammetry

    Agronomy, Vol. 11, Núm. 12

2020

  1. Drone-derived canopy height predicts aboveground biomass in non-forest ecosystems across the globe

    AGU Fall Meeting Abstracts

  2. Duration and Cost Variability of Construction Activities: An Empirical Study

    Journal of Construction Engineering and Management, Vol. 146, Núm. 1

  3. Forecasting accuracy of in-progress activity duration and cost estimates

    Journal of Construction Engineering and Management, Vol. 146, Núm. 9

  4. Forest Ecosystem Monitoring Using Unmanned Aerial Systems

    Unmanned Aerial Remote Sensing, pp. 173-196

  5. Reducing systematic dome errors in digital elevation models through better UAV flight design

    Earth Surface Processes and Landforms, Vol. 45, Núm. 9, pp. 2134-2147