Sandra Buján

• Doctor of Sustainable Land Planning
• Professor at University of Leon

Despite the large amounts of resources destined to developing filtering algorithms of LiDAR point clouds in order to obtain a Digital Terrain Model (DTM), the task remains a challenge. As a society advancing towards the democratization of information and collaborative processes, the researchers should not only focus on improving the efficacy of fil...

Knowledge about forest road networks is essential for sustainable forest management and fire management. The aim of this study was to assess the accuracy of a new hierarchical-hybrid classification tool (HyClass) for mapping paved and unpaved forest roads with LiDAR data. Bare-earth and low-lying vegetation were also identified. For this purpose, a...

The regions of Central and South America most susceptible to the occurrence of landslides will become even more vulnerable in the context of climate change. The Josefina disaster, in 1993, demonstrated both the vulnerability of local infrastructures and communities in the Paute River basin (Ecuador). Since this natural phenomena, several landslide...

Understorey evaluation is essential in wildlife habitat management, biomass storage and wild-fire suppression, among other areas. The lack of a standardised methodology in the field meas-urements, and in their subsequent analysis, forces researchers to look for procedures that effec-tively extract understorey data to make management decisions corre...

Remotely sensed data are increasingly used together with National Forest Inventory (NFI) data to improve the spatial precision of forest variable estimates. In this study, we combined data from the 4th Spanish National Forest Inventory (SNFI-4) and from the 2nd nationwide Airborne Laser Scanning (ALS) survey to develop predictive forest inventory v...

La detección temprana de especies de plantas exóticas invasoras es fundamental para la formulación de estrategias de gestión y mitigación. Se propone evaluar la distribución espacio-temporal de Eichhornia crassipes (Mart.) Solms, en laguna La Turbina, empleando imágenes satelitales Sentinel-2 (periodo 2021-2023). Las bandas espectrales de las regio...

Ground point filtering on national-level datasets is a challenge due to the presence of multiple types of landscapes. This limitation does not simply affect to individual users, but it is in particular relevant for those national institutions in charge of providing national-level Light Detection and Ranging (LiDAR) point clouds. Each type of landsc...

Los modelos desarrollados en este estudio representan una herramienta sólida y versátil para la recuperación de contenido de clorofila en tres especies de mangles. El CCCI es la variable más relevante con diferencia (en base a la Figura de la importancia de variables), por tanto, sus características son transmitidas al contenido de clorofila de los...

Abstract. Zaruma, a well-known mining district in the province of El Oro in Ecuador, suffers from subsidence phenomena related to illegal underground mining. Mining in this area goes back to the pre-Hispanic time; recorded history shows the first settlements of the Cañari culture and thru the Inca culture, and passing from the Spanish, American, an...

Identifying ground points from LiDAR data remains a challenge more than 2 decades after automatic filtering methods were first developed. The efficacy of filtering methods depends on both the physical characteristics of the environment and on the quality of the data used. Other limitations, affecting accessibility and usability, include the choice...

In cost–benefit analysis of lidar data acquisition, point density is often artificially reduced in order to examine how this affects the quality of derived products. However, the performance of the different density reduction methods has not yet been compared and their influence on the accuracy of the models and results has not been evaluated. A no...

While forest roads are important to forest managers in terms of facilitating the exploitation of wood and timber, their role is far more multifunctional. They permit access to emergency services in the case of forest fires as well as acting as fire breaks, enhance biodiversity, and provide access to the public to enjoy recreational activities. Deta...

1.INTRODUCCIÓN Las pistas forestales son infraestructuras esenciales para la gestión sostenible de montes puesto que posibilitan el acceso a las masas forestales para su aprovechamiento, conectan distintas áreas, sirven de acceso para la lucha contra incendios… Por ello, es imprescindible disponer de una cartografía actualizada de pistas, que permi...

Se estimó el volumen de madera de rodal (V, m3 ha 1) de Piinus radiata en la provincia de Lugo (NO España) a partir de métricas de datos LiDAR de baja resolución del PNOA (Plan Nacional de Ortofotografía de España). La estimación se basó en un diseño de muestreo orientado para mejorar el ajuste del modelo y en un método inferencial basado en la var...

Digital elevation models (DEMs) are essential in many professional areas as they produce georeferenced elevation data that are critical for a wide range of studies, computations, decision-making processes, and derived products. Quality control thus becomes necessary to quantify the accuracy of the information provided. We assessed the accuracy of e...

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Actualmente la tecnología LiDAR se ha convertido en la técnica por excelencia para la recogida de datos geoespaciales de la superficie de la tierra. En este artículo se propone un método para la clasificación automática de objetos con datos LiDAR, con el objetivo de detectar los distintos elementos presentes en la superficie terrestre. El método co...

RESUMEN Actualmente la degradación y deforestación del bosque ha incrementado la cuota de gases antropogénicos, así como la pérdida de flora y fauna. Para comprender la importancia de los bosques dentro del ciclo natural del planeta es importante cuantificar su cobertura. El empleo de sensores remotos como el LiDAR puede aportar información valiosa...

Aims of study: To evaluate the potential use of canopy height and intensity distributions, determined by airborne LiDAR, for the estimation of crown, stem and aboveground biomass fractions. To assess the effects of a reduction in LiDAR pulse densities on model precision. Area of study: The study area is located in Galicia, NW Spain. The forests are...

The aim of this study was to evaluate the use of high-resolution airborne laser scanner ALS data to detect and measure individual trees. We developed and tested a new mixed pixel-and region-based algorithm using Definiens Developer 7.0 for locating individual tree positions and estimating their total heights. We computed a canopy height model CHM o...

Lidar technology has become an important data source in 3D terrain modelling. In Spain, the National Plan for Aerial Orthophotography will soon release public low-density lidar data 0.5–1 pulses/m2 for most of the country territory. Taking advantage of this fact, this article experimentally assesses the possibility of classifying a rural landscape...

1 Caso de estudio: Planteamiento de una tarifa genérica para estimación de biomasa a partir de datos LiDAR en el municipio de Guitiriz Resumen La degradación y deforestación del bosque incrementa la cuota de gases antropogénicos, así como la pérdida de flora y fauna. Para comprender la importancia de los bosques dentro del ciclo natural del planeta...

Obtaining information on the distribution of rural landscape types is an active research topic within Spanish rural studies. This paper presents a new hierarchical object-based classification method for the automatic detection of various land use classes in a rural area, combining lidar data and aerial images. In view of the upcoming availability o...