Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Narges Kariminejad"'
Publikováno v:
Global Ecology and Conservation, Vol 53, Iss , Pp e03010- (2024)
Ecological stability (ES) is recognized as a crucial factor for sustainable development at global and regional scales. However, the importance of this factor was not considered significant. Hence, the main aim of this study was to introduce a new app
Externí odkaz:
https://doaj.org/article/498b15e5013b405386d755d12d4aff01
Autor:
Mohammad Kazemi Garajeh, Fatemeh Haji, Mahsa Tohidfar, Amin Sadeqi, Reyhaneh Ahmadi, Narges Kariminejad
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract In this study, a data-driven approach employed by utilizing the product called JRC-Global surface water mapping layers V1.4 on the Google Earth Engine (GEE) to map and monitor the effects of climate change on surface water resources. Key cli
Externí odkaz:
https://doaj.org/article/67c19cbf960140fc89f897bcdd801ae3
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-16 (2022)
Abstract The quantitative spatial analysis is a strong tool for the study of natural hazards and their interactions. Over the last decades, a range of techniques have been exceedingly used in spatial analysis, especially applying GIS and R software.
Externí odkaz:
https://doaj.org/article/cc7a0d1a42984e90a81ec6ad0936529c
Autor:
Narges Kariminejad, Mohammad Kazemi Garajeh, Mohsen Hosseinalizadeh, Foroogh Golkar, Hamid Reza Pourghasemi
Publikováno v:
Drones, Vol 7, Iss 11, p 659 (2023)
This study explored the innovative use of multiple remote sensing satellites and unmanned aerial vehicles to calculate soil losses in the Loess Plateau of Iran. This finding emphasized the importance of using advanced technologies to develop accurate
Externí odkaz:
https://doaj.org/article/386e3e6fd51d402ebf2af7467a02c04d
Autor:
Narges Kariminejad, Abbas Goli Jirandeh, Hadi Alizadeh, Mohsen Hosseinalizadeh, Hamid Reza Pourghasemi
Publikováno v:
پژوهشهای آبخیزداری, Vol 34, Iss 3, Pp 19-39 (2021)
The aim of this study was to analyze the effectiveness of watershed management activities in a representative sub-catchment (treated) and its comparison with a control on, and to identify the erosion sensitive areas in these sub-catchments areas of
Externí odkaz:
https://doaj.org/article/fab0809ad509418d87da89d9c47436e1
Publikováno v:
پژوهشهای آبخیزداری, Vol 33, Iss 3, Pp 53-69 (2020)
Piping erosion is an influential landform of intensified water erosion that interact with each other in the loess-derived soilsof the Province of Golestan (NE Iran). This study attempts to emphasize the use of high-precision data through field survey
Externí odkaz:
https://doaj.org/article/dba3dab60e7e41cabcf53b6cdb1c67b1
Autor:
Hamid Reza Pourghasemi, Narges Kariminejad, Mahdis Amiri, Mohsen Edalat, Mehrdad Zarafshar, Thomas Blaschke, Artemio Cerda
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
Abstract The aim of the current study was to suggest a multi-hazard probability assessment in Fars Province, Shiraz City, and its four strategic watersheds. At first, we construct maps depicting the most effective factors on floods (12 factors), fore
Externí odkaz:
https://doaj.org/article/e49a5dfb79724dd68433a0e3aa2570e7
Publikováno v:
مدیریت بیابان, Vol 6, Iss 12, Pp 19-32 (2019)
Understanding of distribution of plants and analyzing their spatial pattern reveal the interactions of plants and environment. Nebka as an indicator phenomenon of plant-sediment interaction, plays an important role in protecting of vegetation and san
Externí odkaz:
https://doaj.org/article/b7f189f351ce44588b8876f24a3c7454
Publikováno v:
تحقیقات جنگل و صنوبر ایران, Vol 25, Iss 2, Pp 264-274 (2017)
The spatial distribution analysis of trees in arid and semi-arid regions presents valuable information about their interactions and impacts on one another. This study was aimed to investigate how biometric characteristics of mount Atlas mastic (Pista
Externí odkaz:
https://doaj.org/article/14ebb790b84c4da3a0734426dd849921
Autor:
Xinxiang Lei, Wei Chen, Mohammadtaghi Avand, Saeid Janizadeh, Narges Kariminejad, Hejar Shahabi, Romulus Costache, Himan Shahabi, Ataollah Shirzadi, Amir Mosavi
Publikováno v:
Remote Sensing, Vol 12, Iss 15, p 2478 (2020)
In the present study, gully erosion susceptibility was evaluated for the area of the Robat Turk Watershed in Iran. The assessment of gully erosion susceptibility was performed using four state-of-the-art data mining techniques: random forest (RF), cr
Externí odkaz:
https://doaj.org/article/7f897f6638a34875aef307ac0840e750