Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Farzin Shabani"'
Autor:
Cláudia Eduarda Borges, Ronnie Von dos Santos Veloso, Crislaine Alves da Conceição, Débora Sampaio Mendes, Nadiezhda YZ Ramirez-Cabral, Farzin Shabani, Mahyat Shafapourtehrany, Marcela Carlota Nery, Ricardo Siqueira da Silva
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Brassica napus, a versatile crop with significant socioeconomic importance, serves as a valuable source of nutrition for humans and animals while also being utilized in biodiesel production. The expansion potential of B. napus is profoundly
Externí odkaz:
https://doaj.org/article/40c431e8bc274018914aa49f31e4a6d2
Autor:
Vahideh Saeidi, Seyd Teymoor Seydi, Bahareh Kalantar, Naonori Ueda, Bahman Tajfirooz, Farzin Shabani
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 14, Iss 1 (2023)
AbstractThe estimation of water depth in coastal areas and shallow waters is crucial for marine management and monitoring. However, direct measurements using fieldwork methods can be costly and time-consuming. Therefore, remote sensing imagery is a p
Externí odkaz:
https://doaj.org/article/7cd8f62884dc4dc5b2f4fe701a87aeb4
Autor:
Mahyat Shafapourtehrany, Fatemeh Rezaie, Changhyun Jun, Essam Heggy, Sayed M. Bateni, Mahdi Panahi, Haluk Özener, Farzin Shabani, Hamidreza Moeini
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4501 (2023)
Landslides are among the most frequent secondary disasters caused by earthquakes in areas prone to seismic activity. Given the necessity of assessing the current seismic conditions for ensuring the safety of life and infrastructure, there is a rising
Externí odkaz:
https://doaj.org/article/a4213deead3143ce9da651bb40a79f9f
Publikováno v:
Ecology and Evolution, Vol 13, Iss 2, Pp n/a-n/a (2023)
Abstract Species distribution models (SDMs) are practical tools to assess the habitat suitability of species with numerous applications in environmental management and conservation planning. The manipulation of the input data to deal with their spati
Externí odkaz:
https://doaj.org/article/16d2ae39848c4d3abdbb151ef25db4d5
Autor:
Mahyat Shafapourtehrany, Maryna Batur, Farzin Shabani, Biswajeet Pradhan, Bahareh Kalantar, Haluk Özener
Publikováno v:
Remote Sensing, Vol 15, Iss 7, p 1939 (2023)
The level of destruction caused by an earthquake depends on a variety of factors, such as magnitude, duration, intensity, time of occurrence, and underlying geological features, which may be mitigated and reduced by the level of preparedness of risk
Externí odkaz:
https://doaj.org/article/022fa22816fa4063822418aa241f6a9b
Publikováno v:
Forecasting, Vol 2, Iss 2, Pp 36-58 (2020)
Forest fire is an environmental disaster that poses immense threat to public safety, infrastructure, and biodiversity. Therefore, it is essential to have a rapid and robust method to produce reliable forest fire maps, especially in a data-poor countr
Externí odkaz:
https://doaj.org/article/d81a661679014afcb4a348160b92f95f
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 10, Iss 1, Pp 79-101 (2019)
Statistical methods are the most popular techniques to model and map flood-prone areas. Although a wide range of statistical methods have been used, application of the statistical index (Wi) method has not been examined in flood susceptibility mappin
Externí odkaz:
https://doaj.org/article/cb2b1e4525b44e548471dae19be1e128
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 8, Iss 2, Pp 1695-1714 (2017)
Soil erosion is a global geological hazard which can be mitigated through better future land-use planning. In the current research, a Dempster–Shafer-based evidential belief function (EBF) and frequency ratio (FR) were used to map the soil erosion
Externí odkaz:
https://doaj.org/article/2b58a3f5f88e4d118cb7155a37271866
Autor:
Mahyat Shafapour Tehrany, Farzin Shabani, Mustafa Neamah Jebur, Haoyuan Hong, Wei Chen, Xiaoshen Xie
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 8, Iss 2, Pp 1538-1561 (2017)
The aim of this research was to evaluate the predictive performances of frequency ratio (FR), logistic regression (LR) and weight of evidence (WoE), in flood susceptibility mapping in China. In addition, the ensemble WoE and LR and ensemble FR and LR
Externí odkaz:
https://doaj.org/article/d315a5c163ff48f89536f55c088a2972
Autor:
Bahareh Kalantar, Naonori Ueda, Vahideh Saeidi, Saeid Janizadeh, Fariborz Shabani, Kourosh Ahmadi, Farzin Shabani
Publikováno v:
Remote Sensing, Vol 13, Iss 13, p 2638 (2021)
Large damages and losses resulting from floods are widely reported across the globe. Thus, the identification of the flood-prone zones on a flood susceptibility map is very essential. To do so, 13 conditioning factors influencing the flood occurrence
Externí odkaz:
https://doaj.org/article/29a7131226884b9ba5ed041c2d36e4f8