Zobrazeno 1 - 8
of 8
pro vyhledávání: '"S. H. Alemohammad"'
Publikováno v:
Biogeosciences, Vol 15, Pp 5779-5800 (2018)
Satellite-retrieved solar-induced chlorophyll fluorescence (SIF) has shown great potential to monitor the photosynthetic activity of terrestrial ecosystems. However, several issues, including low spatial and temporal resolution of the gridded data
Externí odkaz:
https://doaj.org/article/9490e81e26ec47f79faafb2ac5a6660f
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 5341-5356 (2018)
Characterizing soil moisture at spatiotemporal scales relevant to land surface processes (i.e., of the order of 1 km) is necessary in order to quantify its role in regional feedbacks between the land surface and the atmospheric boundary layer. M
Externí odkaz:
https://doaj.org/article/0db2a2d24c344484bc4b36f61020fc61
Autor:
S. H. Alemohammad, B. Fang, A. G. Konings, F. Aires, J. K. Green, J. Kolassa, D. Miralles, C. Prigent, P. Gentine
Publikováno v:
Biogeosciences, Vol 14, Pp 4101-4124 (2017)
A new global estimate of surface turbulent fluxes, latent heat flux (LE) and sensible heat flux (H), and gross primary production (GPP) is developed using a machine learning approach informed by novel remotely sensed solar-induced fluorescence (SI
Externí odkaz:
https://doaj.org/article/fa81b0cb117f4439bd6647916ef48191
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B2, Pp 747-751 (2016)
This study aims to integrate environmental data for drought monitoring to reduce uncertainty in urban drought characterization as part of the smart city framework. Currently, drought monitoring in urban areas is a challenge. This is due, in part, to
Externí odkaz:
https://doaj.org/article/8e4d4ec386fb47c38a1a3add87b733aa
Publikováno v:
Hydrology and Earth System Sciences, Vol 19, Iss 8, Pp 3489-3503 (2015)
Validation of precipitation estimates from various products is a challenging problem, since the true precipitation is unknown. However, with the increased availability of precipitation estimates from a wide range of instruments (satellite, ground-bas
Externí odkaz:
https://doaj.org/article/34aa8472e2e34e0d98716d6dc7b3341f
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B2, Pp 747-751 (2016)
This study aims to integrate environmental data for drought monitoring to reduce uncertainty in urban drought characterization as part of the smart city framework. Currently, drought monitoring in urban areas is a challenge. This is due, in part, to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8538f372ff690ed1379eda9f3758add
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/747/2016/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/747/2016/
Validation of precipitation estimates from various products is a challenging problem, since the true precipitation is unknown. However, with the increased availability of precipitation estimates from a wide range of instruments (satellite, ground-bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18c0a2d7f2ed8b22aeba11eb80a13ba1
https://doi.org/10.5194/hessd-12-2527-2015
https://doi.org/10.5194/hessd-12-2527-2015