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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34P/3L7D85E
Repositorysid.inpe.br/mtc-m21b/2016/02.18.16.50   (restricted access)
Last Update2016:02.18.16.51.28 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21b/2016/02.18.16.50.01
Metadata Last Update2021:01.02.22.17.11 (UTC) administrator
DOI10.3390/w8010032
ISSN2073-4441
Citation KeyAlexandridisChBiAlHaAnAr:2016:SpTeDi
TitleSpatial and temporal distribution of soil moisture at the catchment scale using remotely-sensed energy fluxes
Year2016
Access Date2024, May 14
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size2965 KiB
2. Context
Author1 Alexandridis, Thomas K.
2 Cherif, Ines
3 Bilas, George
4 Almeida, Waldenio Gambi de
5 Hartanto, Isnaeni M.
6 van Andel, Schalk Jan
7 Araujo, Antonio
Resume Identifier1
2
3
4 8JMKD3MGP5W/3C9JJBR
Group1
2
3
4 DOP-CPT-INPE-MCTI-GOV-BR
Affiliation1 Aristotle University of Thessaloniki
2 Aristotle University of Thessaloniki
3 Aristotle University of Thessaloniki
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 UNESCO-IHE Institute for Water Education
6 UNESCO-IHE Institute for Water Education
7 GMVIS SKYSOFT S.A.
Author e-Mail Address1 thalex@agro.auth.gr
2 icherif@yahoo.com
3 bilas@agro.auth.gr
4 waldenio.almeida@cptec.inpe.br
5 isnaeni@gmail.com
6 s.vanandel@unesco-ihe.org
7 antonio.araujo@gmv.com
JournalWater
Volume8
Number32
History (UTC)2016-02-18 16:50:01 :: simone -> administrator ::
2021-01-02 22:17:11 :: administrator -> simone :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordssoil water content
river basin
remote sensing
thermal infrared
MODIS
AbstractDespite 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.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDOP > Spatial and temporal...
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4. Conditions of access and use
Languageen
Target Filewater-08-00032.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/43SQKNE
Citing Item Listsid.inpe.br/bibdigital/2021/01.02.22.14 1
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Host Collectionsid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notes
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