@Article{AlexandridisChBiAlHaAnAr:2016:SpTeDi,
author = "Alexandridis, Thomas K. and Cherif, Ines and Bilas, George and
Almeida, Waldenio Gambi de and Hartanto, Isnaeni M. and van Andel,
Schalk Jan and Araujo, Antonio",
affiliation = "{Aristotle University of Thessaloniki} and {Aristotle University
of Thessaloniki} and {Aristotle University of Thessaloniki} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {UNESCO-IHE
Institute for Water Education} and {UNESCO-IHE Institute for Water
Education} and {GMVIS SKYSOFT S.A.}",
title = "Spatial and temporal distribution of soil moisture at the
catchment scale using remotely-sensed energy fluxes",
journal = "Water",
year = "2016",
volume = "8",
number = "32",
keywords = "soil water content, river basin, remote sensing, thermal infrared,
MODIS.",
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 (L) 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.",
doi = "10.3390/w8010032",
url = "http://dx.doi.org/10.3390/w8010032",
issn = "2073-4441",
language = "en",
targetfile = "water-08-00032.pdf",
urlaccessdate = "28 abr. 2024"
}