Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Jocelyne Adjizian Gerard"'
Autor:
Kamel Allaw, Jocelyne Adjizian Gerard, Makram Zouheir Chehayeb, Nada Badaro Saliba, Abbas Rammal, Zainab Jaber
Publikováno v:
Geoplanning: Journal of Geomatics and Planning, Vol 7, Iss 2, Pp 75-86 (2020)
Population estimation using remotely sensed data has been largely discussed in the literature relative to human geography. However, the previously established models can be applied on organized areas (mainly urban areas) but they are not suitable for
Externí odkaz:
https://doaj.org/article/1ea5bf524bf7444998363fa1e90dbaa5
Autor:
Carole Nehme, Sophie Verheyden, Fadi H. Nader, Jocelyne Adjizian-Gerard, Dominique Genty, Kevin De Bont, Benedicte Minster, Ghada Salem, David Verstraten, Philippe Clayes
Publikováno v:
International Journal of Speleology, Vol 48, Iss 1, Pp 63-74 (2019)
An important step in paleoclimate reconstructions based on vadose cave carbonate deposits or speleothems is to evaluate the sensitivity of the cave environment and speleothems to regional climate. Accordingly, we studied four caves, located at differ
Externí odkaz:
https://doaj.org/article/75b0881171054456bc69d6c2ace585b6
Publikováno v:
Fire, Vol 5, Iss 5, p 141 (2022)
Fire is a recurrent disturbance in Mediterranean ecosystems. Data assemblage from forest fire services can provide useful information for understanding climate controls on daily fire hazard or long term trends. Located at the driest range of the Medi
Externí odkaz:
https://doaj.org/article/22d0195dde994c52a4b3c1844ae5164c
Publikováno v:
Climate Risk Management, Vol 33, Iss , Pp 100345- (2021)
The potential capacity of an agricultural community to adapt to climate change is directly related to several indicators, mainly the initial state of local farmers’ perceptions to climate and adaptation, the socio-economy, the space and biophysical
Externí odkaz:
https://doaj.org/article/13d909489a064174ba3d598fffd118f0
Publikováno v:
Climate Risk Management, Vol 16, Iss C, Pp 120-132 (2017)
Natural phenomena, such as wildfires, usually require the coincidence of several related factors in both time and space. In wildfire studies, literature-based factors were collected and listed in Mhawej et al. (2015). The question remains: which comb
Externí odkaz:
https://doaj.org/article/efec05ceaa3c4444a9c3857f72d58647
Publikováno v:
Territoire en Mouvement, Vol 41 (2019)
Studies have shown that the air above Beirut, the Lebanese capital, is polluted. The concentration of NO2 and particulate matters are always above the acceptable limits set by the World Health Organization (WHO). In 2016, a survey has been done to st
Externí odkaz:
https://doaj.org/article/8cd4770c08174770a71c21068da14bef
Publikováno v:
Bulletin de la Société Royale des Sciences de Liège. :59-83
Coastal erosion and accretion are short-term and long-term processes that may cause changes in shoreline and beach profiles. Monitoring beach profile is important to figure out the factors that are responsible for these changes so it helps the stakeh
Autor:
Kamel Allaw, Zainab Jaber, Nada Badaro Saliba, Makram Chehayeb, Abbas Rammal, Jocelyne Adjizian Gerard
Publikováno v:
Geoplanning: Journal of Geomatics and Planning, Vol 7, Iss 2, Pp 75-86 (2020)
Population estimation using remotely sensed data has been largely discussed in the literature relative to human geography. However, the previously established models can be applied on organized areas (mainly urban areas) but they are not suitable for
Publikováno v:
Modeling Earth Systems and Environment. 7:1321-1335
This article modifies the use of the Cellular Automata Markov Chain Model to predict future land use pattern in Lebanon, and compares it to the current developed model. LandSat images of years 2000, 2009 and 2018 are used to generate land use maps wi
Publikováno v:
Arabian Journal for Science and Engineering. 46:495-508
This study validates the applicability of the extended Markov chain modeling for predicting the dynamics of land use in Lebanon by using (i) the current available population density maps, (ii) Landsat satellite images, (iii) ArcGIS software and (iv)