A5005333130- Plant Water Relations and Carbon Dynamics
- Remote Sensing in Agriculture
- Urban Heat Island Mitigation
- Horticultural and Viticultural Research
- Hydrology and Watershed Management Studies
- Remote Sensing and LiDAR Applications
- Climate variability and models
- Irrigation Practices and Water Management
- Solar Radiation and Photovoltaics
- Fire effects on ecosystems
- Greenhouse Technology and Climate Control
- Tree-ring climate responses
- Soil Moisture and Remote Sensing
- Land Use and Ecosystem Services
- Leaf Properties and Growth Measurement
- Soil and Unsaturated Flow
- Rangeland Management and Livestock Ecology
- Hydrology and Drought Analysis
- Atmospheric and Environmental Gas Dynamics
- Environmental Impact and Sustainability
- Aeolian processes and effects
- Geophysics and Gravity Measurements
- Aviation History and Innovations
- Forest Biomass Utilization and Management
- Advances in Cucurbitaceae Research
Instituto de Ciencias Agrarias
2022-2025
Consejo Superior de Investigaciones Científicas
2015-2025
Institute of Agrifood Research and Technology
2017-2023
Centro Nacional de Información Geográfica
2019-2022
Instituto de Agricultura Sostenible
2015-2016
University of Copenhagen
2010-2016
United States Department of Agriculture
2016
Agricultural Research Service
2016
Technical University of Denmark
2014
Geocenter Denmark
2010-2012
Abstract. Estimating evaporation is important when managing water resources and cultivating crops. Evaporation can be estimated using land surface heat flux models remotely sensed temperatures (LST), which have recently become obtainable in very high resolution lightweight thermal cameras Unmanned Aerial Vehicles (UAVs). In this study a camera was mounted on UAV applied into the field of fluxes hydrology by concatenating images mosaics LST these as input for two-source energy balance (TSEB)...
The Sentinel satellite missions are designed to provide remote-sensing observational capability many diverse operational applications, including in the field of agriculture and food security. They do this by acquiring frequent observations from a combination optical, thermal microwave sensors at various spatial resolutions. However, one currently missing capability, that would enable monitoring evapotranspiration, crop water stress use scale, is lack high-resolution (tens meters) sensor. In...
Abstract. This study investigates whether a water deficit index (WDI) based on imagery from unmanned aerial vehicles (UAVs) can provide accurate crop stress maps at different growth stages of barley and in differing weather situations. Data both the early late growing season are included to investigate WDI has unique potential be applicable when land surface is partly composed bare soil crops senescing. The differs more commonly applied (CWSI) that it uses spectral vegetation (VI), determine...
To understand what is driving spatial flux variability within a savanna type ecosystem in central Spain, data of three co-located eddy covariance (EC) towers combination with hyperspectral airborne measurements and footprint analysis were used. The EC systems show consistent, unbiased mass energy fluxes. Nevertheless, instantaneous between-tower differences i.e. paired half hourly fluxes, showed large variability. A period 13 days around an campaign was analyzed proved that can be associated...
Land Surface Temperature (LST) is one of the key inputs for Soil-Vegetation-Atmosphere transfer modeling in terrestrial ecosystems. In frame BIOSPEC (Linking spectral information at different spatial scales with biophysical parameters Mediterranean vegetation context global change) and FLUXPEC (Monitoring changes water carbon fluxes from remote proximal sensing “dehesa” ecosystem) projects LST retrieved Landsat data required to integrate ground-based observations energy, water, multi-scale...
Abstract Particularly in light of California’s recent multiyear drought, there is a critical need for accurate and timely evapotranspiration (ET) crop stress information to ensure long-term sustainability high-value crops. Providing this requires the development tools applicable across continuum from subfield scales improve water management within individual fields up watershed regional assess resources at county state levels. High-value perennial crops (vineyards orchards) are major users,...
The Sentinel-2 and Sentinel-3 satellite constellation contains most of the spatial, temporal spectral characteristics required for accurate, field-scale actual evapotranspiration (ET) estimation. one remaining major challenge is spatial scale mismatch between thermal-infrared observations acquired by satellites at around 1 km resolution multispectral shortwave 20 m resolution. In this study we evaluate a number approaches bridging gap improving thermal images. resulting data then used as...
Forests are increasingly subject to a number of disturbances that can adversely influence their health. Remote sensing offers an efficient alternative for assessing and monitoring forest A myriad methods based upon remotely sensed data have been developed, tailored the different definitions health considered, covering broad range spatial temporal scales. The purpose this review paper is identify analyse studies addressed issues applying remote techniques, in addition studying methodological...
The two-source energy balance model estimates canopy transpiration (Tr) and soil evaporation (E) traditionally from satellite partitions of remotely sensed land surface temperature (LST) the Priestley-Taylor equation (TSEB-PT) at seasonal time with limited accuracy. high spatial–temporal resolution spectral data collected by unmanned aerial vehicles (UAVs) provide valuable opportunity to estimate Tr E precisely, improve understanding diurnal cycle evapotranspiration (ET), timely detect...
Evapotranspiration (ET) is a crucial part of commercial grapevine production in California, and the partitioning this quantity allows separate assessment soil vine water energy fluxes. This has an important role agriculture since it related to stress, yield quality, irrigation efficiency, growth. Satellite remote sensing-based methods provide opportunity for ET at subfield scale. However, medium-resolution satellite imagery from platforms such as Landsat often insufficient precision...
Thermal infrared (TIR) remote sensing of the land-surface temperature (LST) provides an invaluable diagnostic surface fluxes and vegetation state, from plant sub-field scales up to regional global coverage. However, without proper consideration nuances remotely sensed LST signal, TIR imaging can give poor results for estimating sensible latent heating. For example, sensor view angle, atmospheric impacts, differential coupling soil canopy sub-pixel elements with overlying atmosphere affect...
The estimation of moisture content dead fuels is a critical variable in fire danger assessment since it strongly related to ignition and spread potential. This study evaluates the accuracy two well-known meteorological codes, Canadian Fine Fuels Moisture Content US 10-h, estimate fuel Mediterranean areas. Cured grasses litter have been used for this study. was conducted phases. former aimed select most efficient code, latter produce spatial representation that index operational conditions....
Abstract. The Dual Temperature Difference (DTD) model, introduced by Norman et al. (2000), uses a two source energy balance modelling scheme driven remotely sensed observations of diurnal changes in land surface temperature (LST) to estimate fluxes. By using time-differential measurement as input, the approach reduces model sensitivity errors absolute retrieval. original formulation DTD required an early morning LST observation (approximately 1 h after sunrise) when fluxes are minimal,...
In viticulture, detailed spatial information about actual evapotranspiration (ETa) and vine water status within a vineyard may be of particular utility when applying site-specific, precision irrigation management. Over recent decades, extensive research has been carried out in the use remote sensing energy balance models to estimate monitor ETa at field level. However, one major limitations remains coarse resolution thermal infrared (TIR) domain. this context, advent Sentinel missions...
Remote sensing estimation of evapotranspiration (ET) directly quantifies plant water consumption and provides essential information for irrigation scheduling, which is a pressing need California vineyards as extreme droughts become more frequent. Many ET models take satellite-derived Leaf Area Index (LAI) major input, but how uncertainties LAI estimations propagate to the partitioning between evaporation transpiration poorly understood. Here we assessed six satellite-based approaches using...
One of the primary applications satellite Land Surface Temperature (LST) observations lies in their utilization for modeling actual evapotranspiration (ET) agricultural crops, with goals monitoring and enhancing irrigation practices improving crop water use productivity, as stipulated by Sustainable Development Goal (SDG) indicator 6.4.1. Evapotranspiration is a complex dynamic process, both temporally spatially, necessitating LST high spatio-temporal resolution. Presently, none existing...