Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Soil Water Index (SWI)"'
Publikováno v:
Progress in Earth and Planetary Science, Vol 8, Iss 1, Pp 1-13 (2021)
Abstract Soil Water Index (SWI) represents the conceptual water stored in the soil and is calculated using a three-layer tank model with hourly precipitation. In Japan, landslide disasters are likely to occur when SWI in an event exceeds the maximum
Externí odkaz:
https://doaj.org/article/2bb1fe7415174208918f97c6d637a136
Publikováno v:
Remote Sensing, Vol 8, Iss 2, p 156 (2016)
A large-scale re-vegetation supported by the Grain for Green Project (GGP) has greatly changed local eco-hydrological systems, with an impact on soil moisture conditions for the Chinese Loess Plateau. It is important to know how, exactly, re-vegetati
Externí odkaz:
https://doaj.org/article/ad2c0016630348cd95878b97304b192e
Akademický článek
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Publikováno v:
Remote Sensing of Environment, 138, 172-188
Remote Sensing of Environment, 138, 172. Elsevier
Remote Sensing of Environment, 138, 172. Elsevier
The study presented in this paper is to investigate the possibility of using spaceborne remote sensing data for groundwater head prediction. Remotely-sensed soil moisture time series of SWI (Soil Water Index) derived from ERS (European Remote Sensing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5dc65f59caf253c1cef9984b45ee53a9
https://doi.org/10.1016/j.rse.2013.07.022
https://doi.org/10.1016/j.rse.2013.07.022
Akademický článek
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Publikováno v:
Water Resources Research, 1, 50, 687-705
We explore the possibility of using remotely sensed soil moisture data and in situ discharge observations to calibrate a large-extent hydrological model. The model used is PCR-GLOBWB-MOD, which is a physically based and fully coupled groundwater-land
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::31997f3d876729de8759f254a1cd42df
https://dspace.library.uu.nl/handle/1874/302614
https://dspace.library.uu.nl/handle/1874/302614
Autor:
Sutanudjaja, E. H., Van Beek, L. P H, De Jong, S. M., Van Geer, F. C., Bierkens, M. F P, Hydrologie, Landdegradatie en aardobservatie, Landscape functioning, Geocomputation and Hydrology
Publikováno v:
Water Resources Research, 50(1), 687. American Geophysical Union
We explore the possibility of using remotely sensed soil moisture data and in situ discharge observations to calibrate a large-extent hydrological model. The model used is PCR-GLOBWB-MOD, which is a physically based and fully coupled groundwater-land
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::ca700d1084d21b678228c46d2423a2f9
https://dspace.library.uu.nl/handle/1874/302614
https://dspace.library.uu.nl/handle/1874/302614
The study presented in this paper is to investigate the possibility of using spaceborne remote sensing data for groundwater head prediction. Remotely-sensed soil moisture time series of SWI (Soil Water Index) derived from ERS (European Remote Sensing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dris___00893::f80f66830d857c30f4c82383471e4411
http://resolver.tudelft.nl/uuid:d19a29fc-c60f-43ce-9e88-35c0ccba039c
http://resolver.tudelft.nl/uuid:d19a29fc-c60f-43ce-9e88-35c0ccba039c
Publikováno v:
Water Resources Research. 50(1):687
We explore the possibility of using remotely sensed soil moisture data and in situ discharge observations to calibrate a large-extent hydrological model. The model used is PCR-GLOBWB-MOD, which is a physically based and fully coupled groundwater-land
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dris___00893::b551a1f358ef8ee6ad087133451aba51
https://doi.org/10.1002/2013wr013807
https://doi.org/10.1002/2013wr013807
Akademický článek
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