Spatial and Temporal Distribution of Soil Moisture at the Catchment Scale Using Remotely-Sensed Energy Fluxes

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 metho...

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Main Authors: Thomas K. Alexandridis, Ines Cherif, George Bilas, Waldenio G. Almeida, Isnaeni M. Hartanto, Schalk Jan van Andel, Antonio Araujo
Format: Article
Language:English
Published: MDPI AG 2016-01-01
Series:Water
Subjects:
Online Access:http://www.mdpi.com/2073-4441/8/1/32
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spelling doaj-d09d185359bc440c8f628c42a3e177662020-11-24T22:22:23ZengMDPI AGWater2073-44412016-01-01813210.3390/w8010032w8010032Spatial and Temporal Distribution of Soil Moisture at the Catchment Scale Using Remotely-Sensed Energy FluxesThomas K. Alexandridis0Ines Cherif1George Bilas2Waldenio G. Almeida3Isnaeni M. Hartanto4Schalk Jan van Andel5Antonio Araujo6Lab of Remote Sensing and GIS, Faculty of Agriculture, Aristotle University of Thessaloniki, Thessaloniki 54124, GreeceLab of Remote Sensing and GIS, Faculty of Agriculture, Aristotle University of Thessaloniki, Thessaloniki 54124, GreeceLab of Applied Soil Science, Faculty of Agriculture, Aristotle University of Thessaloniki, Thessaloniki 54124, GreeceCenter for Weather Forecast and Climate Analysis, Brazilian National Institute for Space Research, Cachoeira Paulista 12630-000, BrazilIntegrated Water Systems and Governance Department, UNESCO-IHE Institute for Water Education, Delft 2611 AX, The NetherlandsIntegrated Water Systems and Governance Department, UNESCO-IHE Institute for Water Education, Delft 2611 AX, The NetherlandsGMVIS SKYSOFT S.A., Lisbon 1998-025, PortugalDespite 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.http://www.mdpi.com/2073-4441/8/1/32soil water contentriver basinremote sensingthermal infraredMODIS
collection DOAJ
language English
format Article
sources DOAJ
author Thomas K. Alexandridis
Ines Cherif
George Bilas
Waldenio G. Almeida
Isnaeni M. Hartanto
Schalk Jan van Andel
Antonio Araujo
spellingShingle Thomas K. Alexandridis
Ines Cherif
George Bilas
Waldenio G. Almeida
Isnaeni M. Hartanto
Schalk Jan van Andel
Antonio Araujo
Spatial and Temporal Distribution of Soil Moisture at the Catchment Scale Using Remotely-Sensed Energy Fluxes
Water
soil water content
river basin
remote sensing
thermal infrared
MODIS
author_facet Thomas K. Alexandridis
Ines Cherif
George Bilas
Waldenio G. Almeida
Isnaeni M. Hartanto
Schalk Jan van Andel
Antonio Araujo
author_sort Thomas K. Alexandridis
title Spatial and Temporal Distribution of Soil Moisture at the Catchment Scale Using Remotely-Sensed Energy Fluxes
title_short Spatial and Temporal Distribution of Soil Moisture at the Catchment Scale Using Remotely-Sensed Energy Fluxes
title_full Spatial and Temporal Distribution of Soil Moisture at the Catchment Scale Using Remotely-Sensed Energy Fluxes
title_fullStr Spatial and Temporal Distribution of Soil Moisture at the Catchment Scale Using Remotely-Sensed Energy Fluxes
title_full_unstemmed Spatial and Temporal Distribution of Soil Moisture at the Catchment Scale Using Remotely-Sensed Energy Fluxes
title_sort spatial and temporal distribution of soil moisture at the catchment scale using remotely-sensed energy fluxes
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2016-01-01
description 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.
topic soil water content
river basin
remote sensing
thermal infrared
MODIS
url http://www.mdpi.com/2073-4441/8/1/32
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