- Urban Heat Island Mitigation
- Plant Water Relations and Carbon Dynamics
- Calibration and Measurement Techniques
- Meteorological Phenomena and Simulations
- Remote Sensing in Agriculture
- Climate change and permafrost
- Climate variability and models
- Building Energy and Comfort Optimization
- Soil Moisture and Remote Sensing
- Greenhouse Technology and Climate Control
- Ocean Waves and Remote Sensing
- Remote Sensing and Land Use
- Solar Radiation and Photovoltaics
- Oceanographic and Atmospheric Processes
- Fire effects on ecosystems
- Arctic and Antarctic ice dynamics
- Cryospheric studies and observations
- Remote Sensing and LiDAR Applications
- Advanced Banach Space Theory
- Atmospheric and Environmental Gas Dynamics
- Medical Image Segmentation Techniques
- Precipitation Measurement and Analysis
- Marine and coastal ecosystems
- Horticultural and Viticultural Research
- Hydrology and Drought Analysis
Universitat de València
2013-2023
Terra
2018
Universitat Pompeu Fabra
2001-2016
Heinz Optical Engineering (United States)
2016
University of Castilla-La Mancha
2010
Universitat de les Illes Balears
1994-2002
Université de franche-comté
1991-1994
Laboratoire de Mathématiques
1994
Centre National de la Recherche Scientifique
1991-1992
Abstract Remote sensing techniques are specially suitable to detect and map areas affected by forest fires. In this work, Landsat 5 Thematic Mapper (TM) data has been used study a number of fires that occurred in the province Valencia (Spain) monitor vegetation regeneration over burnt areas. A reference area (non‐burnt forest) was established assess change produced fire. The radiance thermal band (10.4–12.5 μm) normalized difference reflectance between near 1R (0.76–0.90 middle IR (2.08–2.35...
We discuss possible algorithms for interpolating data given in a set of curves and/or points the plane. propose basic assumptions to be satisfied by interpolation which lead models terms possibly degenerate elliptic partial differential equations. The absolute minimal Lipschitz extension model (AMLE) is singled out and studied more detail. show experiments suggesting application, restoration images with poor dynamic range.
Weather has a significant impact on different sectors of the economy. One most sensitive is electricity market, because power demand linked to several weather variables, mainly air temperature. This work analyzes relationship between load and daily temperature in Spain, using population-weighted index. The shows trend due socioeconomic factors, addition monthly seasonal effects that have been taken into account isolate influence load. results indicate nonlinear, showing "comfort interval"...
Abstract In this paper we review the current status for deriving land surface temperatures (LSTs) by remote sensing from satellites in thermal infrared. Because of its widespread use and global applicability, concentrate on Advanced Very High Resolution Radiometer (AVHRR). The theoretical framework methodologies used to derive LSTs are reviewed amplified. Practical algorithms described their accuracy application critically evaluated through sensitivity studies inter‐comparison. important...
Ground-based measurements of land-surface temperature (LST) performed in a homogeneous site rice crops close to Valencia, Spain, were used for the validation calibration and atmospheric correction Landsat-7 Enhanced Thematic Mapper Plus (ETM+) thermal band. Atmospheric radiosondes launched at test around satellite overpasses. Field-emissivity near-full-vegetated also performed. Seven concurrences ground data obtained July August 2004-2007. The with MODTRAN-4 radiative transfer model simulate...
We prove existence and uniqueness of weak solutions for the minimizing total variation flow with initial data in $L^1$. that length level sets solution, i.e., boundaries sets, decreases time, as one would expect, solution converges to spatial average datum $t \to \infty$. also local maxima strictly decrease time; particular, flat zones immediately their level. display some numerical experiments illustrating these facts.
Abstract A split-window equation is derived for land surface temperature, yielding T = T4 + A(T4 − T5) B(ε), where the true and T5 are brightness temperatures measured in AVHRR channels 4 5, a coefficient related to atmospheric transmittances being dependent on atmosphere type independent emissivity, B(ε) takes into account emissivity effect, which depends both channel emissivities (ε4 ε5) type. The dependence of coefficients, discussed by means satellite measurements simulations situ data....
The influence of soil water content in thermal infrared emissivity is a known fact but has been poorly studied the past. A laboratory study for quantifying dependence on moisture was carried out. Six samples surface horizons different types were selected experiment. gravimetric method chosen determining moisture, whereas measured at contents using two‐lid variant box method. As result, showed that increases from 1.7% to 16% when becomes higher, especially sandy soils 8.2–9.2 μ m range....
Basic phenomenology of human color vision has been widely taken as an inspiration to devise explicit correction algorithms. The behavior these models in terms significative image features (such as, e.g., contrast and dispersion) can be difficult characterize. To cope with this, we propose use a variational formulation enhancement that is inspired by the basic perception. In particular, set requirements fulfilled energy considered 'perceptually inspired', showing there class functionals...
A split‐window algorithm for deriving land surface temperatures (LSTs) from advanced very high resolution radiometer (AVHRR) channels 4 and 5 is proposed validated with in situ measured temperatures. On the basis of radiative transfer theory defines a set surface‐independent coefficients which are equivalent to classical sea temperature (SST). These calculated using SST matchups (coincident AVHRR buoy measurements) provided by National Oceanic Atmospheric Administration (NOAA)‐NASA...
Soil Moisture and Ocean Salinity (SMOS) is an Earth Explorer Opportunity Mission from the European Space Agency with a launch date in 2007. Its goal to produce global maps of soil moisture ocean salinity variables for climatic studies using new dual-polarization L-band (1400-1427 MHz) radiometer Microwave Imaging Radiometer by Aperture Synthesis (MIRAS). SMOS will have multiangular observation capability can be optionally operated full-polarimetric mode. At this frequency sensitivity...
Abstract Studies that use multitemporal images require the conversion of original digital data into corresponding physical magnitudes. Atmospheric correction is one most important steps in this process, which usually undertaken using atmospheric radiative transfer models. The main difficulty these models need input are not available. An alternative approach to proposed Letter. It based on idea effects over two or more dates can be determined a relative way, by apparent reflectance values...
Fire danger models are a very useful tool for the prevention and extinction of forest fires. Some inputs these models, such as vegetation status temperature, can be obtained from remote sensing images, which offer higher spatial temporal resolution than direct ground measures. In this paper, we focus on Galicia region (north-west Spain), MODIS (Moderate Resolution Imaging Spectroradiometer) images used to monitor obtain land surface temperature essential in fire models. work, tested...
Thermal infrared (TIR) data are usually acquired at a coarser spatial resolution (CR) than visible and near (VNIR). Several disaggregation methods have been recently developed to enhance the TIR using VNIR data. These approaches based on retrieval of relation between CR, or training neural network, be applied fine afterward. In this work, different combination two sensors in experimental test site Barrax, Spain. The main objective is feasibility these techniques when satellites provided with...