A5021692902- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Irrigation Practices and Water Management
- Plant Water Relations and Carbon Dynamics
- Horticultural and Viticultural Research
- Greenhouse Technology and Climate Control
- Leaf Properties and Growth Measurement
- Soil erosion and sediment transport
- Land Use and Ecosystem Services
- Water-Energy-Food Nexus Studies
- Flood Risk Assessment and Management
- Hydrology and Sediment Transport Processes
- Water resources management and optimization
- Hydrology and Watershed Management Studies
- Soil Moisture and Remote Sensing
- Smart Agriculture and AI
- Rice Cultivation and Yield Improvement
- Water Systems and Optimization
- Trace Elements in Health
- 3D Surveying and Cultural Heritage
- Plant and soil sciences
- Heavy Metal Exposure and Toxicity
- Soil Geostatistics and Mapping
- Remote-Sensing Image Classification
- Sustainable Agricultural Systems Analysis
University of Castilla-La Mancha
2015-2024
Heritage Malta
2021
Universidad de Costa Rica
2020
Universidad de Salamanca
2018-2019
Catholic University of Ávila
2018
The acquisition, processing, and interpretation of thermal images from unmanned aerial vehicles (UAVs) is becoming a useful source information for agronomic applications because the higher temporal spatial resolution these products compared with those obtained satellites. However, due to low load capacity UAV they need mount light, uncooled cameras, where microbolometer not stabilized constant temperature. This makes camera precision many applications. Additionally, contrast photogrammetry...
European legislation is driving the development of methods for river ecosystem protection in light concerns over water quality and ecology. Key to their success accurate rapid characterisation physical features (i.e., hydromorphology) along river. Image pattern recognition techniques have been successfully used this purpose. The reliability methodology depends on both aerial imagery technique used. Recent studies proved potential Unmanned Aerial Vehicles (UAVs) increase by capturing high...
The availability of an unprecedented amount open remote sensing data, such as Sentinel-1 and -2 data within the Copernicus program, has boosted idea combining use optical radar to improve accuracy agricultural applications crop classification. Sentinel-1’s Synthetic Aperture Radar (SAR) provides co- cross-polarized backscatter, which offers opportunity monitor crops using at high spatial temporal resolution. In this study, we assessed potential integrating information (VV VH backscatter...
The launch of Sentinel-2A and B satellites has boosted the development many applications that could benefit from fine resolution supplied information, both in time space. Crop classification is a necessary task for efficient land management. We evaluated benefits combining Landsat-8 information irrigated crop classification. also assessed robustness efficiency 22 nonparametric algorithms classifying crops semiarid region southeast Spain. A parcel-based approach was proposed calculating mean...
Because of climate change and the scarce availability natural resources there is a need to develop sustainable intensification strategies intended for optimizing water use in vineyards. In this study, regime, fertilization soil management practices were assessed terms vineyard use, by evaluating inter-row crop line evapotranspiration (ET) components using Mapping EvapoTranspiration at high Resolution with Internalized Calibration (METRIC) model combination unmanned aerial vehicle...
In arid and semi-arid regions, irrigation is crucial to mitigate water stress yield loss. However, the overexploitation of resources by agricultural sector together with climate change effects can lead scarcity. Effective regional management depends on estimating demand using maps irrigable areas or national statistics irrigated areas. These statistical data are not always reliable quality because they generally do reflect updated spatial distribution rainfed fields. this context, remote...
Leaf area index (LAI), green canopy cover (GCC), and volume (V) are associated with grape vigor, quality, yield. Thus, analyzing these parameters throughout the growing season may help optimize site-specific management of vineyards. Because direct measurements LAI destructive, tedious, not repeatable on same vine, developing validating nondestructive methods to estimate essential. Canopy pattern is characterized by GCC V, which can be measured using aerial observation. The purpose this study...
With the increasing competitiveness in vine market, coupled with need for sustainable use of resources, strategies improving farm management are essential. One such effective strategy is implementation precision agriculture techniques. Using photogrammetric techniques, digitalization farms based on images acquired from unmanned aerial vehicles (UAVs) provides information that can assist improvement and decision-making processes. The objective present work to quantify impact pest Jacobiasca...
The development of unmanned aerial vehicles (UAVs) and light sensors has required new approaches for high-resolution remote sensing applications. High spatial temporal resolution spectral data acquired by multispectral conventional cameras (or red, green, blue (RGB) sensors) onboard UAVs can be useful plant water status determination and, as a consequence, irrigation management. A study in vineyard located south-eastern Spain was carried out during the 2018, 2019, 2020 seasons to assess...
Last advances in sensors, photogrammetry and computer vision have led to high-automation levels of 3D reconstruction processes for generating dense models multispectral orthoimages from Unmanned Aerial Vehicle (UAV) images. However, these cartographic products are sometimes blurred degraded due sun reflection effects which reduce the image contrast colour fidelity quality radiometric values remote sensing applications. This paper proposes an automatic approach detecting reflections problems...
Existing regulatory frameworks aiming to improve the quality of rivers place hydromorphology as a key factor in assessment hydrology, morphology and river continuity. The majority available methods for hydromorphological characterisation rely on identification homogeneous areas (i.e., features) flow, vegetation substrate. For that purpose, aerial imagery is used identify existing features through either visual observation or automated classification techniques. There evidence believe success...
Proper control and planning of water resource use, especially in those catchments with large surface, climatic variability intensive irrigation activity, is essential for a sustainable management. Decision support systems based on useful tools involving main stakeholders hydrological offices the river basins play key role. The free availability Earth observation products high temporal resolution, such as European Sentinel-2B, has allowed us to combine remote sensing cadastral agronomic data....
In the last few years, concept of ecosystem-based approach has led to need for developing integrative assessments that consider different ecosystem components all together. Europe, Marine Strategy Framework Directive (MSFD) aims at achieving Good Environmental Status regional seas. This requires Member States (MS) implement monitoring networks and assess status in 6-years management cycles, based on 11 qualitative descriptors, ranging from biodiversity noise. For assessment MS must apply...