Rubén Martínez Marín

Handling Low-Density LiDAR Data: Calculating the Heights of Civil Constructions and the Accuracy Expected

During the last years, in many developed countries, administrations and private companies have devoted considerable amounts of money to obtain mapping data using airborne LiDAR. For many civil activities, we can take advantage of it, since those data are available with no cost. Some important questions arise: Are those data good enough to be used for determining the heights of the civil constructions with the accuracy we need in some civil work? What accuracy can we expect when using low-density LiDAR data (0.5 pts/m2)? In order to answer those questions, we have developed a specific methodology based on establishing a set of control points on the top of several constructions and calculating the elevation of each one using postprocessing GPS. Those results have been taken as correct values and the comparison between those values and the elevations obtained, assigning values to the control points by the interpolation of the LiDAR dataset, has been carried out. This paper shows the results obtained using low-density airborne LiDAR data and the accuracy obtained. Results have shown that LiDAR can be accurate enough (10–25 cm) to determine the height of civil constructions and apply those data in many civil engineering activities.

MONITORIZACIÓN DEL COMPORTAMIENTO TÉRMICO DE FACHADAS MEDIANTE UAV: APLICACIONES EN LA REHABILITACIÓN DE EDIFICIOS

The aim of this paper is the design and validation of a methodology for thermal and visible inspection of facades in urban areas using unmanned aerial vehicles and image analysis. Building facades present challenging problems for remote sensing analysis, given the diversity and complexity of covers and materials, and, mainly, their vertical disposition. This study validates a method for quick analysis of pathologies, leading to their geocoding and mapping. The main types of pathologies are studied and evaluated. As a case study, two public-use buildings from the Technical University of Madrid were selected for the validation and evaluation of results. This technology is ready for use in building inspection and it is very useful in the design of rehabilitation projects for tall and complex buildings in the framework of energy efficiency.

Fish habitat characterization and quantification using lidar and conventional topographic information in river survey

This study presents the application of LIDAR data to the evaluation and quantification of fluvial habitat in river systems, coupling remote sensing techniques with hydrological modeling and ecohydraulics. Fish habitat studies depend on the quality and continuity of the input topographic data. Conventional fish habitat studies are limited by the feasibility of field survey in time and budget. This limitation results in differences between the level of river management and the level of models. In order to facilitate upscaling processes from modeling to management units, meso-scale methods were developed (Maddock & Bird, 1996; Parasiewicz, 2001). LIDAR data of regulated River Cinca (Ebro Basin, Spain) were acquired in the low flow season, maximizing the recorded instream area. DTM meshes obtained from LIDAR were used as the input for hydraulic simulation for a range of flows using GUAD2D software. Velocity and depth outputs were combined with gradient data to produce maps reflecting the availability of each mesohabitat unit type for each modeled flow. Fish habitat was then estimated and quantified according to the preferences of main target species as brown trout (Salmo trutta). LIDAR data combined with hydraulic modeling allowed the analysis of fluvial habitat in long fluvial segments which would be time-consuming with traditional survey. LIDAR habitat assessment at mesoscale level avoids the problems of time efficiency and upscaling and is a recommended approach for large river basin management.