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George Bilas  - - - 
Top co-authors
Antonio Araujo

167 shared publications

Department of Medical Oncology, Hospital de Santo António/Centro Hospitalar do Porto, Porto, Portugal

Schalk Jan Van Andel

15 shared publications

UNESCO-IHE Institute for Water Education; Delft; The Netherlands

Ines Cherif

3 shared publications

Lab of Remote Sensing and GIS, School of Agriculture , Aristotle University of Thessaloniki , Thessaloniki , 54621 , Greece

Isnaeni M. Hartanto

1 shared publications

Waldenio G. Almeida

1 shared publications

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Distribution of Articles published per year 
(2016)
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Publications
Article 0 Reads 5 Citations Spatial and Temporal Distribution of Soil Moisture at the Catchment Scale Using Remotely-Sensed Energy Fluxes Thomas K. Alexandridis, Ines Cherif, George Bilas, Waldenio ... Published: 21 January 2016
Water, doi: 10.3390/w8010032
DOI See at publisher website ABS Show/hide abstract
Despite playing a critical role in the division of precipitation between runoff and infiltration, soil moisture (SM) is difficult to estimate at the catchment scale and at frequent time steps, as is required by many hydrological, erosion and flood simulation models. In this work, an integrated methodology is described to estimate SM at the root zone, based on the remotely-sensed evaporative fraction (Λ) and ancillary information on soil and meteorology. A time series of Terra MODIS satellite images was used to estimate SM maps with an eight-day time step at a 250-m spatial resolution for three diverse catchments in Europe. The study of the resulting SM maps shows that their spatial variability follows the pattern of land cover types and the main geomorphological features of the catchment, and their temporal pattern follows the distribution of rain events, with the exception of irrigated land. Field surveys provided in situ measurements to validate the SM maps’ accuracy, which proved to be variable according to site and season. In addition, several factors were analyzed in order to explain the variation in the accuracy, and it was shown that the land cover type, the soil texture class, the temporal difference between the datasets’ acquisition and the presence of rain events during the measurements played a significant role, rather than the often referred to scale difference between in situ and satellite observations. Therefore, the proposed methodology can be used operationally to estimate SM maps at the catchment scale, with a 250-m spatial resolution and an eight-day time step.
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