Zobrazeno 1 - 10
of 196
pro vyhledávání: '"Ahmad Al-Bitar"'
Publikováno v:
Radiology Case Reports, Vol 19, Iss 10, Pp 4489-4492 (2024)
Osteochondromas, the most frequent type of bone tumor, develop from the metaphysis region of bones. Osteochondroma often occurs in bones, however, it is rare when it comes to rib tumors. It is often asymptomatic and observed incidentally.We present a
Externí odkaz:
https://doaj.org/article/66bfcf02acfc43998b4fda102e551cde
Autor:
Sylvain Ferrant, Adrien Selles, Michel Le Page, Pierre-Alexis Herrault, Charlotte Pelletier, Ahmad Al-Bitar, Stéphane Mermoz, Simon Gascoin, Alexandre Bouvet, Mehdi Saqalli, Benoit Dewandel, Yvan Caballero, Shakeel Ahmed, Jean-Christophe Maréchal, Yann Kerr
Publikováno v:
Remote Sensing, Vol 9, Iss 11, p 1119 (2017)
Indian agriculture relies on monsoon rainfall and irrigation from surface and groundwater. The interannual variability of monsoon rainfalls is high, which forces South Indian farmers to adapt their irrigated areas to local water availability. In this
Externí odkaz:
https://doaj.org/article/526cc40faa9f408fa3b980453b81b8c1
Autor:
Sylvain Ferrant, Vincent Bustillo, Enguerrand Burel, Jordy Salmon-Monviola, Martin Claverie, Nathalie Jarosz, Tiangang Yin, Vincent Rivalland, Gérard Dedieu, Valerie Demarez, Eric Ceschia, Anne Probst, Ahmad Al-Bitar, Yann Kerr, Jean-Luc Probst, Patrick Durand, Simon Gascoin
Publikováno v:
Remote Sensing, Vol 8, Iss 2, p 154 (2016)
Sentinel-2 (S2) earth observation satellite mission, launched in 2015, is foreseen to promote within-field decisions in Precision Agriculture (PA) for both: (1) optimizing crop production; and (2) regulating environmental impacts. In this second scop
Externí odkaz:
https://doaj.org/article/a514d23609304a01aa85e32062deccb6
Autor:
Jérémy Guilhen, Marie Parrens, Sabine Sauvage, William Santini, Franck Mercier, Ahmad Al Bitar, Clément Fabre, Jean-Michel Martinez, José-Miguel Sànchez-Pérez
Publikováno v:
Frontiers in Water, Vol 4 (2022)
The Madeira is one of the major tributaries of the Amazon River and is characterized by a large alluvial floodplain throughout the stream continuum. This study aims to better assess the hydrological functioning of the Madeira Basin over its alluvial
Externí odkaz:
https://doaj.org/article/611fddf634ac4fc1b1a3aed522b9319b
Autor:
Sly Wongchuig, Rodrigo Paiva, Vinícius Siqueira, Sylvain Biancamaria, Fabrice Papa, Adrien Paris, Ahmad Al Bitar
The understanding and prediction of the variability of the hydrological state of watersheds across the planet is growing, as water is a fundamental human need and therefore important for science and society. In the last 20 years, significant advances
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c6f008317a62f91281b871d576f688b
https://doi.org/10.5194/egusphere-egu23-3714
https://doi.org/10.5194/egusphere-egu23-3714
Autor:
Chiara Corbari, Nicola Paciolla, Tian Hu, Franz Kai Ronellenfitsch, Martin Schlerf, Christian Bossung, Alessandro Ceppi, Mouna Feki, Rafael Llorens, Drazen Skokovic Jovanovic, Ahmad Al Bitar, Kaniska Mallick, Josè Sobrino, Marco Mancini
Agriculture is the largest consumer of water worldwide, accounting for about 70% of the global freshwater withdrawals. Thus, crop water use efficiency and impacts of water stress on crop water consumption are the key concerns for agricultural water m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cdc1aac9da66d670919460320c280ea
https://doi.org/10.5194/egusphere-egu23-7291
https://doi.org/10.5194/egusphere-egu23-7291
Autor:
Remi Madelon, Nemesio J. Rodriguez-Fernandez, Robin van der Schalie, Tracy Scanlon, Ahmad Al Bitar, Yann H. Kerr, Richard de Jeu, Wouter Dorigo
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 831-848 (2022)
Building climate data records of soil moisture (SM) requires computing long time series by merging retrievals from sensors on-board different satellites, which implies to perform a bias correction or rescaling on the original time series. Due to thei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f4bb0a028c4a83f5ff6e2aaba2c578e
https://doi.org/10.1109/jstars.2021.3137008
https://doi.org/10.1109/jstars.2021.3137008
Publikováno v:
eISSN
Soil carbon storage is a well identified climate change mitigation solution. The extensive in-situ monitoring of the soil carbon storage in cropland for agricultural policy and offset carbon markets is prohibitive, especially at intra-field scale. Fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a6f78a0c854557bfd571246acbe77d7
https://doi.org/10.5194/egusphere-2023-48
https://doi.org/10.5194/egusphere-2023-48
Publikováno v:
Water, Vol 12, Iss 11, p 3109 (2020)
This paper explores the accuracy in using an artificial neural network (ANN) to estimate root-zone soil moisture (RZSM) at multiple worldwide locations using only in situ surface soil moisture (SSM) as a training dataset. The paper also addresses the
Externí odkaz:
https://doaj.org/article/fb4c919753484bec950671391863ebed
Drought prediction is crucial especially where the rainfall regime is irregular and agriculture is mainly based on irrigated crops, such as in Mediterranean countries. In this work, the main objective is to develop an EO-based agricultural drought mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbdea643d2b4764cd23be4a1dee0300a
https://nhess.copernicus.org/preprints/nhess-2022-260/
https://nhess.copernicus.org/preprints/nhess-2022-260/