A5028447420- Remote Sensing and LiDAR Applications
- 3D Surveying and Cultural Heritage
- Satellite Image Processing and Photogrammetry
- Robotics and Sensor-Based Localization
- Maritime Transport Emissions and Efficiency
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Species Distribution and Climate Change
- Occupational and environmental lung diseases
- Cruise Tourism Development and Management
- Maritime Navigation and Safety
- Remote Sensing in Agriculture
- Animal and Plant Science Education
- Insect and Arachnid Ecology and Behavior
Philipps University of Marburg
2023-2024
Universidad de La Rioja
2022
Universitat de Lleida
2020
Unmanned aerial systems (UAS) are cost-effective, flexible and offer a wide range of applications. If equipped with optical sensors, orthophotos very high spatial resolution can be retrieved using photogrammetric processing. The use these images in multi-temporal analysis the combination data imposes demands on their accuracy. This georeferencing accuracy UAS orthomosaics is generally expressed as checkpoint error. However, error alone gives no information about reproducibility...
Abstract Ecosystem functions and services are severely threatened by unprecedented global loss in biodiversity. To counteract these trends, it is essential to develop systems monitor changes biodiversity for planning, evaluating, implementing conservation mitigation actions. However, the implementation of monitoring suffers from a trade‐off between grain (i.e., level detail), extent number study sites), temporal repetition. Here, we present an applied realized networked sensor system...
Lack of knowledge about freshwater use in ports tourist destinations hinders accurate assessment water availability and planning. In this study, the Port Palma (Spain) is analyzed by sector (commercial, mixed, navy recreational) for period 2007–2018. This study shows dynamics consumption evaluates effects increased cruise tourism from 2007 to 2018 port. Water data supplied Authority Balearic Islands each sector, together with volumes recharged ships, allow a detailed analysis used merchants...
We propose an optimized Structure-from-Motion (SfM) Multi-View Stereopsis (MVS) workflow, based on minimizing different errors and inaccuracies of historical aerial photograph series (1945, 1979, 1984, 2008 surveys), prior to generation elevation-calibrated Digital Surface Models (hDSM) at 1 m resolution. applied LiDAR techniques Airborne Laser Scanning (ALS) point clouds (Spanish PNOA flights 2014 2019) for comparison validation purposes. Implementation these products in multi-temporal...
Abstract Excessive tree mortality is a global concern and remains poorly understood as it complex phenomenon. We lack temporally continuous coverage on data. Ground-based observations mortality, e.g ., derived from national inventories, are very sparse, not standardized spatially explicit. Earth observation data, combined with supervised machine learning, offer promising approach to map over time. However, global-scale learning requires broad training data covering wide range of...
Prescribed burning and pyric herbivory play pivotal roles in mitigating wildfire risks, underscoring the imperative of consistent biomass monitoring for assessing fuel load reductions. Drone-derived surface models promise uninterrupted surveillance but require complex photogrammetric processing. In a Mediterranean mountain shrubland experiment, we refined Structure from Motion (SfM) Multi-View Stereopsis (MVS) workflow to diminish biases 3D modeling RGB drone imagery-based reconstructions....
<p>Subsidence is a highly destructive natural hazard, which can be caused by both and anthropogenic causes. Its impacts include decrease in storage capacity of aquifer systems, the creation cracks fissures, damages to buildings infrastructures, an increase susceptibility flooding. In this study, Persistent Scattered Interferometry (PSI) has been used process Synthetic Aperture Radar (SAR) images, for detection analysis ground deformation subsidence processes island Mallorca....
<p>The availability of high spatial resolution historical remote sensing products and advances in Structure from Motion (SfM), Multi-View Stereopsis (MVS) LiDAR (Light Detection And Ranging) techniques offer a wide range applications to understand landscape evolution monitor geomorphological changes. In this work, we apply an optimised SfM-MVS workflow based on minimising georeferencing error black white colour photographs acquired 1945 (American flight series A), 1979 (Spanish...