Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Loise Wandera"'
Autor:
Kaniska Mallick, Loise Wandera, Nishan Bhattarai, Renaud Hostache, Malgorzata Kleniewska, Jaroslaw Chormanski
Publikováno v:
Water, Vol 10, Iss 12, p 1753 (2018)
Evapotranspiration (ET) estimation through the surface energy balance (SEB) and soil-vegetation-atmosphere-transfer (SVAT) models are uncertain due to the empirical parameterizations of the aerodynamic and canopy-substrate conductances (gA and gS) fo
Externí odkaz:
https://doaj.org/article/ed102c918b87471fb1895c2078f208f7
Autor:
Kaniska Mallick, Vincenzo Magliulo, Olivier Roupsard, Matthias Peichl, Loise Wandera, Gerard Kiely
Publikováno v:
Hydrology and earth system sciences, 21(1), 197-215. Copernicus
Hydrology and earth system sciences (2016). doi:10.5194/hess-2016-344
info:cnr-pdr/source/autori:L. Wandera, K. Mallick, G. Kiely, O. Roupsard, M. Peichl, and V. Magliulo/titolo:Upscaling instantaneous to daily evapotranspiration using modelled daily shortwave radiation for remote sensing applications: an Artificial Neural Network approach/doi:10.5194%2Fhess-2016-344/rivista:Hydrology and earth system sciences/anno:2016/pagina_da:/pagina_a:/intervallo_pagine:/volume
Hydrology and Earth System Sciences, Vol 21, Iss 1, Pp 197-215 (2017)
Hydrology and earth system sciences 21 (2017): 197–215. doi:10.5194/hess-21-197-2017
info:cnr-pdr/source/autori:L. Wandera, K. Mallick, G. Kiely, O. Roupsard, M. Peichl, and V. Magliulo/titolo:Upscaling instantaneous to daily evapotranspiration using modelled daily shortwave radiation for remote sensing applications: an Artificial Neural Network approach/doi:10.5194%2Fhess-21-197-2017/rivista:Hydrology and earth system sciences/anno:2017/pagina_da:197/pagina_a:215/intervallo_pagine:197–215/volume:21
Hydrology and Earth System Sciences
Hydrology and earth system sciences (2016). doi:10.5194/hess-2016-344
info:cnr-pdr/source/autori:L. Wandera, K. Mallick, G. Kiely, O. Roupsard, M. Peichl, and V. Magliulo/titolo:Upscaling instantaneous to daily evapotranspiration using modelled daily shortwave radiation for remote sensing applications: an Artificial Neural Network approach/doi:10.5194%2Fhess-2016-344/rivista:Hydrology and earth system sciences/anno:2016/pagina_da:/pagina_a:/intervallo_pagine:/volume
Hydrology and Earth System Sciences, Vol 21, Iss 1, Pp 197-215 (2017)
Hydrology and earth system sciences 21 (2017): 197–215. doi:10.5194/hess-21-197-2017
info:cnr-pdr/source/autori:L. Wandera, K. Mallick, G. Kiely, O. Roupsard, M. Peichl, and V. Magliulo/titolo:Upscaling instantaneous to daily evapotranspiration using modelled daily shortwave radiation for remote sensing applications: an Artificial Neural Network approach/doi:10.5194%2Fhess-21-197-2017/rivista:Hydrology and earth system sciences/anno:2017/pagina_da:197/pagina_a:215/intervallo_pagine:197–215/volume:21
Hydrology and Earth System Sciences
Upscaling instantaneous evapotranspiration retrieved at any specific time-of-day (ETi) to daily evapotranspiration (ETd) is a key challenge in mapping regional ET using polar orbiting sensors. Various studies have unanimously cited the shortwave inco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38319dbf61ac60c1bbda8db857beb1fd
https://www.hydrol-earth-syst-sci.net/21/197/2017/
https://www.hydrol-earth-syst-sci.net/21/197/2017/
Autor:
Loise Wandera, Miriam Machwitz, Lucien Hoffmann, Holger Lilienthal, Laura Giustarini, Thomas Udelhoven, Patrick Matgen, David Frantz, Martin Schlerf, Christian Bossung
Publikováno v:
Environmental Modelling & Software. 62:437-453
Complex crop growth models (CGM) require a large number of input parameters, which can cause large errors if they are uncertain. Furthermore, they often lack spatial information. The coupling of a CGM with a radiative transfer model offers the possib
Autor:
Steven Jacobs, Joanna Suliga, Boud Verbeiren, Solomon Dagnachew Seyoum, Jarosław Chormański, Tadesse Abitew, Miguel Barrios, Kaniska Mallick, Loise Wandera, Hans van der Kwast, Ann van Griensven, Patrick Meire
Publikováno v:
Vrije Universiteit Brussel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::074428cc981025670510d299dd1ad76b
https://researchportal.vub.be/en/publications/8e1dda29-77f6-4652-8f12-fa3e28df0a0a
https://researchportal.vub.be/en/publications/8e1dda29-77f6-4652-8f12-fa3e28df0a0a