Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Mélanie Weynants"'
Autor:
Begoña de la Fuente, Mélanie Weynants, Bastian Bertzky, Giacomo Delli, Andrea Mandrici, Eduardo Garcia Bendito, Grégoire Dubois
Publikováno v:
PLoS ONE, Vol 15, Iss 8, p e0224958 (2020)
Tracking changes in total biomass production or land productivity is an essential part of monitoring land transformations and long-term alterations of the health and productive capacity of land that are typically associated with land degradation. Per
Externí odkaz:
https://doaj.org/article/a3ff52baff184830a0aa40001844b4e6
Publikováno v:
Land Degradation & Development. 34:2256-2275
Autor:
Karin Mora, Gunnar Brandt, Vitus Benson, Carsten Brockmann, Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Tonio Fincke, Norman Fomferra, Fabian Gans, Maria Gonzalez, Chaonan Ji, Guido Kraemer, Eva Sevillano Marco, David Montero, Markus Reichstein, Christian Requena-Mesa, Oscar José Pellicer Valero, Mélanie Weynants, Sebastian Wieneke, Miguel D. Mahecha
Compound heat waves and drought events draw our particular attention as they become more frequent. Co-occurring extreme events often exacerbate impacts on ecosystems and can induce a cascade of detrimental consequences. However, the research to under
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2028343f9ec20aac0b300e5e79350bf7
https://doi.org/10.5194/egusphere-egu23-12657
https://doi.org/10.5194/egusphere-egu23-12657
We present improved European hydraulic pedotransfer functions (PTFs) which now use the machine learning algorithm random forest and include prediction uncertainties. The new PTFs (euptfv2) are an update of the previously published euptfv1 (Tóth et a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59688a43594b3163a2a0f562907cb84d
https://doi.org/10.5194/egusphere-egu21-904
https://doi.org/10.5194/egusphere-egu21-904
Publikováno v:
Geoscientific Model Development, Vol 14, Pp 151-175 (2021)
Soil hydraulic properties are often derived indirectly, i.e. computed from easily available soil properties with pedotransfer functions (PTFs), when those are needed for catchment, regional or continental scale applications. When predicted soil hydra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4be6bbadc2465e1043739c3e6dde29fd
https://www.geosci-model-dev-discuss.net/gmd-2020-36/
https://www.geosci-model-dev-discuss.net/gmd-2020-36/
Autor:
Julia Hackländer, Leandro Parente, Yu-Feng Ho, Tomislav Hengl, Rolf Simoes, Davide Consoli, Murat Şahin, Xuemeng Tian, Martin Jung, Martin Herold, Gregory Duveiller, Melanie Weynants, Ichsani Wheeler
Publikováno v:
PeerJ, Vol 12, p e16972 (2024)
The article presents results of using remote sensing images and machine learning to map and assess land potential based on time-series of potential Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) composites. Land potential here refer
Externí odkaz:
https://doaj.org/article/920c52b186804b4389f2d3bb70c52a6c
Publikováno v:
European Journal of Soil Science. 68:769-782
Autor:
Mélanie Weynants, Grégoire Dubois, Begoña de la Fuente, Bastian Bertzky, Eduardo Garcia Bendito, Andrea Mandrici, Giacomo Delli
Publikováno v:
PLoS ONE, Vol 15, Iss 8, p e0224958 (2020)
PLoS ONE
PLoS ONE
Tracking changes in total biomass production or land productivity is an essential part of monitoring land transformations and long-term alterations of the health and productive capacity of land that are typically associated with land degradation. Per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::842f20330f6213c658d58c091b57c6a1
Autor:
Thomas K. Alexandridis, Mélanie Weynants, Antonio Araújo, Gildo Timoteo, I. M. Hartanto, Carina Almeida, Pedro Chambel-Leitao
Publikováno v:
Environmental Engineering and Management Journal. 14:2031-2042
There is an increasing variety of hydrometeorological information sources available for operational water management. These comprise in-situ measurements, Earth Observation, meteorological models, and hydrological models. The effective use of all the
Publikováno v:
Hydrological Processes, 31(14), 2662-2666
Hydrological Processes
Hydrological Processes 31 (2017) 14
Hydrological Processes
Hydrological Processes 31 (2017) 14
Soil hydraulic properties are required in various modelling schemes. We propose a consistent spatial soil hydraulic database at 7 soil depths up to 2 m calculated for Europe based on SoilGrids250m and 1 km datasets and pedotransfer functions trained
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87942f97ac6fcace60580f922783de9b
https://research.wur.nl/en/publications/3d-soil-hydraulic-database-of-europe-at-250-m-resolution
https://research.wur.nl/en/publications/3d-soil-hydraulic-database-of-europe-at-250-m-resolution