A5034646327- Remote Sensing in Agriculture
- Plant Water Relations and Carbon Dynamics
- Irrigation Practices and Water Management
- Hydrology and Watershed Management Studies
- Horticultural and Viticultural Research
- Remote Sensing and LiDAR Applications
- Water resources management and optimization
- Greenhouse Technology and Climate Control
- Land Use and Ecosystem Services
- Historical and socio-economic studies of Spain and related regions
- Smart Agriculture and AI
- Remote Sensing and Land Use
- Urban Heat Island Mitigation
- Environmental and Ecological Studies
- Leaf Properties and Growth Measurement
- Soil Moisture and Remote Sensing
- Flood Risk Assessment and Management
- Soil and Unsaturated Flow
- Soil erosion and sediment transport
- Soil Geostatistics and Mapping
- Sustainable Agricultural Systems Analysis
- Building Energy and Comfort Optimization
- Solar Radiation and Photovoltaics
- Fermentation and Sensory Analysis
- Solar-Powered Water Purification Methods
University of Castilla-La Mancha
2015-2024
Hospital General Universitario de Albacete
2023
The main goal of this research was to estimate the actual evapotranspiration (ETc) a drip-irrigated apple orchard located in semi-arid region Talca Valley (Chile) using remote sensing-based soil water balance model. methodology ETc is modified version Food and Agriculture Organization United Nations (FAO) dual crop coefficient approach, which basal (Kcb) derived from adjusted vegetation index (SAVI) calculated satellite images incorporated into daily root zone. A linear relationship between...
Evapotranspiration (ET) is the second largest component of water cycle in arid and semiarid environments, and, fact, more than 60% precipitation on earth returned to atmosphere through it. MOD16 represents an operational source ET estimates with adequate spatial resolution for several applications, such as resources planning, at a regional scale. However, use these routine applications will require evaluation validation using accurate ground-based measurements. The main objective this study...
Land use classification (LUC) is the process of providing information on land cover and types human activity involved in use. In this study, we perform agricultural LUC using sequences multispectral reflectance Sentinel-2 images taken 2018. can be carried out machine or deep learning techniques. Some existing models data at pixel level, performing successfully with a reduced number images. Part corresponds to temporal patterns that, despite not being especially complex, might remain...
This paper describes a procedure for obtaining green plant cover from crop digital pictures. However, the appearance of shades caused by vegetation canopy characteristics, in addition to different coloration several parts during maturity process, makes evaluation difficult, especially when separating dry vegetation. In order broach this problem, methodology has been developed obtain cover. An experience field radiometry is described where average spectra have captured each experimental plot...
This study evaluates the evaporation component of FAO-56 model under high demand. To perform this, two data sets were used as field evaluation, and a second was for comparison (a based on square root time, SRT). The results show that although FAO-56, SRT present similar cumulative over period (approximately one month), when are analysed daily, overestimated at beginning process underestimated it end. A correction is proposed to amend mismatch between field-measured conditions. Consequently,...
This work introduces a new webGIS tool to estimate the Crop Water Requirement (CWR), using time series of satellite images and meteorological data, at high spatial resolution global scale. CWRweb provides users with information on temporal evolution CWR, as first approach crop evapotranspiration, well other parameters interest. process is implemented via web requires no proficiency in remote sensing.The calculation evapotranspiration under standard conditions (ETc) stands robust FAO-56...
Vegetation indices have been used for operational quantitative monitoring of vegetation. Here, corn and barley cultures to relate meaningful biophysical parameters such as dry biomass Crop Growth Rate (CGR) the well-established Normalized Difference Index (NDVI). We explain these relationships by means use Light Use Efficiency (LUE) models, based on positive relation between primary production Absorbed Photosynthetically Active Radiation (APAR). In models we introduce NDVI a linear estimator...
Wildland fires are one of the major causes ecosystem degradation, especially in semiarid climates, where erosion hazard is high. The identification potential zones typically difficult as it requires expensive field and laboratory work. This paper proposes a methodology based on remote sensing GIS techniques, which permits speedy erosional areas semi-automatic way, tested large burn scar south-eastern Spain. Inputs were slope, aspect, fire severity. In order to obtain latter new method has...
Background and Aims This study analysed the effect of row direction on photosynthetically active radiation (PAR) absorption (APAR) fraction PAR absorbed (fPAR) both a daily hourly temporal scale in vertical shoot positioned trellised vineyards. Methods Results The analysis included experimental data model simulations. fPAR APAR were acquired commercial plots with range canopy development directions near to north–south, northeast–southwest east–west orientations. Simulated values calculated...
Downscaling techniques offer a solution to the lack of high-resolution satellite Thermal InfraRed (TIR) data and can bridge gap until operational TIR missions accomplishing spatio-temporal requirements are available. These generally based on Visible Near (VNIR)-TIR variable relations at coarse spatial resolution, assumption that relationship between spectral bands is independent resolution. In this work, we adopted previous downscaling method introduced some adjustments original formulation...