A5058273086- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- 3D Surveying and Cultural Heritage
- Horticultural and Viticultural Research
- Spectroscopy and Chemometric Analyses
- Cryospheric studies and observations
- Climate change and permafrost
- Construction Project Management and Performance
- Robotics and Sensor-Based Localization
- Resource-Constrained Project Scheduling
- Optical measurement and interference techniques
- Leaf Properties and Growth Measurement
- Landslides and related hazards
- Forest ecology and management
- BIM and Construction Integration
- Winter Sports Injuries and Performance
- Plant and Fungal Interactions Research
- Fermentation and Sensory Analysis
- Soil Geostatistics and Mapping
- Building materials and conservation
- Fire effects on ecosystems
- Masonry and Concrete Structural Analysis
- Crop Yield and Soil Fertility
- Operations Management Techniques
- Public Procurement and Policy
Universidad de León
2014-2025
Universidade de Vigo
2010
The geometrical accuracy of georeferenced digital surface models (DTM) obtained from images captured by micro-UAVs and processed using structure motion (SfM) photogrammetry depends on several factors, including flight design, camera quality, calibration, SfM algorithms georeferencing strategy. This paper focusses the critical role number location ground control points (GCP) used during stage. A challenging case study involving an area 1200+ ha, 100+ GCP 2500+ photos was used. Three thousand,...
This study evaluated the opportunities and challenges of using drones to obtain multispectral orthomosaics at ultra-high resolution that could be useful for monitoring large heterogeneous burned areas. We conducted a survey an octocopter equipped with Parrot SEQUOIA camera in 3000 ha framework located within perimeter megafire Spain. assessed quality both raw imagery orthomosaic obtained, as well required processing capability. Additionally, we compared spatial information provided by drone...
Mobile laser scanning (MLS) is a modern and powerful technology capable of obtaining massive point clouds objects in short period time. Although this nowadays being widely applied urban cartography 3D city modelling, it has some drawbacks that need to be avoided order strengthen it. One the most important shortcomings MLS data concerned with fact provides an unstructured dataset whose processing very time-consuming. Consequently, there growing interest developing algorithms for automatic...
Abstract It is well established that digital elevation models (DEMs) derived from unmanned aerial vehicle (UAV) images and processed by structure motion may contain important systematic vertical errors arising limitations in camera geometry modelling. Even when significant, such ‘dome’‐shaped can often remain unnoticed unless specific checks are conducted. Previous methods used to reduce these have involved: the addition of convergent supplement traditional datasets, usage a higher number...
This study analyses the Roman hydraulic system linked to Las Médulas gold mining complex in Northwest Iberia. The research includes a detailed mapping and assessment of network, which extends over 1110 km, using advanced geomatic techniques an innovative script for tracing canals implemented Matlab. reveals previously unidentified canals, improves existing cartographic representations, addresses water sourcing canal distribution uncertainties. It identifies 41 distributed between La Cabrera...
Selecting the appropriate receiver is an issue when a major portion of global positioning system (GPS) data collection below forest canopies. This study compares four low-cost GPS receivers, in order to determine most suitable for position assessment under different canopy covers, terms ease use, accuracy, and reliability. A total 33 positional assessments were gathered per receiver, plot, method, 18 locations. Data described analyzed through sample comparison analysis at 95% confidence...
Non-forest ecosystems, dominated by shrubs, grasses and herbaceous plants, provide ecosystem services including carbon sequestration forage for grazing, are highly sensitive to climatic changes. Yet these ecosystems poorly represented in remotely sensed biomass products undersampled situ monitoring. Current global change threats emphasize the need new tools capture non-forest at appropriate scales. Here we developed deployed a protocol photogrammetric height using unoccupied aerial vehicle...
Visible, near, and shortwave infrared (VIS-NIR-SWIR) reflectance spectroscopy, a cost-effective rapid means of characterizing soils, was used to predict soil sample properties for four vineyards (central north-western Spain). Sieved air-dried samples were measured using portable spectroradiometer (350–2500 nm) compared pistol grip (PG) versus contact probe (CP) setups. Raw data processed standard normal variate (SVN) detrending transformation (DT) grouped into subsets (VIS: 350–700 nm; NIR:...
Concentrations of certain chemical elements in plants need to be controlled ensure good crop quality and yield. However, laboratory analyses are usually time-consuming expensive. Although indirect methods based on leaf reflectance both faster less expensive, most indexes that only take into account wavelengths fail full advantage the entire curve depicted by modern hyperspectral sensors. This paper applies two functional prediction models, i.e., linear regression nonparametric methods,...
Abstract Glacier roughness at sub-metre scales is an important control on the ice surface energy balance and has implications for scattering measured by remote-sensing instruments. Ice dynamic as a consequence of spatial temporal variation in ablation. To date, studies relying singular and/or spatially discrete two-dimensional profiles to describe have failed resolve common patterns or causes glacier morphology. Here we demonstrate potential close-range digital photogrammetry rapid...
The unique nature of construction projects can mean that activities often suffer from duration and cost variability. Because this variability is unplanned, it present a problem when attempting to complete project on time budget. Various factors causing have been identified in the literature, but they predominantly refer and/or context whole rather than specific activities. In paper, order magnitude correlation between activity analyzed 101 with over 5,000 To do this, first four moments...
Remotesensing techniques can help reduce time and resources spent collecting samples of crops analyzing quality variables. The main objective this work was to demonstrate that it is possible obtain information on the distribution must variables from conventional photographs. Georeferenced berry were collected analyzed in laboratory, RGB images taken using a low-cost drone which an orthoimage made. Transformation equations calculated absolute reflectances for different bands calculate 10...
Total soluble solids (TSS) is a key variable taken into account in determining optimal grape maturity for harvest. In this work, partial least square (PLS) regression models were developed to estimate TSS content Godello, Verdejo (white), Mencía, and Tempranillo (red) varieties based on diffuse spectroscopy measurements. To identify the most suitable spectral range prediction, calibrated four datasets that included following ranges: 400–700 nm (visible), 701–1000 (near infrared), 1001–2500...
In viticulture, information about vine vigour is a key input for decision-making in connection with production targets. Pruning weight (PW), quantitative variable used as indicator of vegetative vigour, associated the quantity and quality grapes. Interest has been growing recent years around use unmanned aerial vehicles (UAVs) or drones fitted remote sensing facilities more efficient crop management higher wine. Current research shown that grape production, leaf area index, biomass, other...
The accuracy of digital elevation models (DEMs) obtained with unmanned aerial vehicle (UAV)-SfM photogrammetry depends on the quality, number, and distribution ground control points (GCPs). In this work, generalized additive (GAMs) are used to analyze relationship between both, root mean square error (RMSEz) absolute (MAEz) in <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$Z$ </tex-math></inline-formula>...
Abstract A study on the variation of internal camera geometry (principal distance, principal point position and lens distortion parameters) with different focus distances has been conducted. Results demonstrate that variations parameters are continuous predictable, allowing a new way to describe geometry. The classical constant parameters, c, x p , y K 1 2 P replaced by functions, c(γ), (γ), (γ) where γ is variable describing position. Incorporation as metadata tag (for example, Exif header)...
A study on the geometric stability and decentering present in sensor-lens systems of six identical compact digital cameras has been conducted. With regard to geometrical stability, variation internal geometry parameters (principal distance, principal point position distortion parameters) was considered. lens decentering, amount radial tangential displacement resulting from related with precision camera offset center sensor. The conducted data obtained after 372 calibration processes (62 per...
This paper presents an optical measuring system based on low cost, high resolution digital cameras. Once the cameras are synchronised, portable and adjustable can be used to observe living beings, bodies in motion, or deformations of very different sizes. Each has been modelled individually studied with regard photogrammetric potential system. We have investigated precision obtained from crossing rays, repeatability results, accuracy coordinates obtained. Systematic random errors identified...
Water status controls plant physiology and is key to managing vineyard grape quality yield. usually estimated by leaf water potential (LWP), which measured using a pressure chamber; however, this method difficult, time-consuming, error-prone. While traditional spectral methods based on reflectance are faster non-destructive, most vegetation indices derived from satellite imagery (and so only take into account discrete bandwidths) do not full advantage of modern hyperspectral sensors that...