Lucia Yanez-RausellAgresta S.Coop · Remote Sensing
Lucia Yanez-Rausell
MS Forestry Engineering, MS PhD Remote Sensing,
About
15
Publications
2,348
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124
Citations
Introduction
Additional affiliations
October 2011 - October 2013
September 2010 - September 2011
September 2009 - September 2010
Academy of Sciences of Czech Republic
Position
- Marie Curie Early stage Researcher HYPER-I-NET project
Publications
Publications (15)
Live fuel moisture content (LFMC) influences many fire-related aspects, including flammability, ignition, and combustion. In addition, fire spread models are highly sensitive to LFMC values. Despite its importance, LFMC estimation is still elusive due to its dependence on plant species traits, local conditions, and weather patterns. Although LFMC m...
Se realizó un seguimiento del estado hidrológico de 34 lagunas incluidas en la demarcación hidrográfica del Guadalquivir analizando la frecuencia de inundación y la evolución y tendencia de la extensión de su lámina de agua mediante técnicas de teledetección y una serie histórica de imágenes de los satélites Landsat abarcando el periodo de octubre...
El seguimiento de la distribución y el estado de conservación de los hábitats enumerados en el Anexo I de
la Directiva de Hábitats de la UE (92/43/CEE) se debe informar a la Comisión cada seis años según el artículo 17. Para
proporcionar datos precisos sobre cinco hábitats forestales en las Islas Baleares (España) dentro del período 2013-2018,
se c...
Needle-leaf chlorophyll content (Cab) of a Norway spruce stand was estimated from CHRIS-PROBA images using the canopy reflectance simulated by the PROSPECT model coupled with two canopy reflectance models: 1) discrete anisotropic radiative transfer model (DART); and 2) PARAS. The DART model uses a detailed description of the forest scene, whereas P...
Optical properties (OPs) of non-flat narrow plant leaves, i.e., coniferous needles, are extensively used by the remote sensing community, in particular for calibration and validation of radiative transfer models at leaf and canopy level. Optical measurements of such small living elements are, however, a technical challenge and only few studies atte...
Leaf optical properties (LOPs) are a key input parameter for vegetation canopy radiative transfer models. The uncertainty introduced in the measurement and/or the simulation of this spectral information determines a final reliability of the modelled canopy reflectance. The broad-leaf radiative transfer model PROSPECT version 3.01 has been previousl...
A forest canopy is a complex system with a highly structural multi-scale architecture. Physical based radiative transfer (RT)modelling has been shown to be an effective tool for retrieval of vegetation canopy biochemical/physical characteristics from optical
remote sensing data. A high spatial resolution RT through a forest canopy requires several...
The potential of hyperspectral sensors in monitoring the bottom depth in shallow waters is investigated by numerical simulations and by analysis of hyperspectral data.
The theoretically expected accuracy of bottom depth determination is studied by combining forward and inverse calculations for different conditions of the water medium and the botto...
A forest canopy is a complex system with a highly structural multi-scale architecture. Physical based radiative transfer (RT) modelling has been shown to be an effective tool for retrieval of vegetation canopy biochemical/physical characteristics from optical remote sensing data. A high spatial resolution RT through a forest canopy requires several...
