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Saeedeh Eskandari
Observed names:
Eskandari, S.,
Saiedeh Eskandari
Institutions:
Agricultural Research & Education Organization,
Research Institute of Forests and Rangelands
Observed institutions:
Sari Agricultural Sciences and Natural Resources University,
Gheorghe Asachi Technical University of Iași,
Agricultural Research & Education Organization,
Research Institute of Forests and Rangelands,
Universidade de Vigo
ORCID:
0000-0002-0099-600X
Observed ORCID:
0000-0002-0099-600X
OpenAlex ID:
A5048549263
A machine learning framework for multi-hazards modeling and mapping in a mountainous area
2020
·
Saleh Yousefi
, Hamid Reza Pourghasemi
, et al.
·
Scientific Reports
·
171
PDF
A new approach for forest fire risk modeling using fuzzy AHP and GIS in Hyrcanian forests of Iran
2017
·
Saeedeh Eskandari
·
Arabian Journal of Geosciences
·
110
Fire danger assessment in Iran based on geospatial information
2015
·
Saeedeh Eskandari
, Emilio Chuvieco
·
International Journal of Applied Earth Observation and Geoinformation
·
69
The temporal and spatial relationships between climatic parameters and fire occurrence in northeastern Iran
2020
·
Saeedeh Eskandari
, Jessica R. Miesel
, et al.
·
Ecological Indicators
·
64
Mapping Land Cover and Tree Canopy Cover in Zagros Forests of Iran: Application of Sentinel-2, Google Earth, and Field Data
2020
·
Saeedeh Eskandari
, Mohammad Reza Jaafari
, et al.
·
Remote Sensing
·
64
PDF
Relations of land cover, topography, and climate to fire occurrence in natural regions of Iran: Applying new data mining techniques for modeling and mapping fire danger
2020
·
Saeedeh Eskandari
, Hamid Reza Pourghasemi
, et al.
·
Forest Ecology and Management
·
63
Landslide susceptibility assessment and mapping using state-of-the art machine learning techniques
2021
·
Hamid Reza Pourghasemi
, Nitheshnirmal Sadhasivam
, et al.
·
Natural Hazards
·
57
Comparison of the fuzzy AHP method, the spatial correlation method, and the Dong model to predict the fire high-risk areas in Hyrcanian forests of Iran
2017
·
Saeedeh Eskandari
, Jessica R. Miesel
·
Geomatics Natural Hazards and Risk
·
56
PDF
Fire-susceptibility mapping in the natural areas of Iran using new and ensemble data-mining models
2021
·
Saeedeh Eskandari
, Hamid Reza Pourghasemi
, et al.
·
Environmental Science and Pollution Research
·
49
PDF
Comparison of new individual and hybrid machine learning algorithms for modeling and mapping fire hazard: a supplementary analysis of fire hazard in different counties of Golestan Province in Iran
2020
·
Saeedeh Eskandari
, Mahdis Amiri
, et al.
·
Natural Hazards
·
46
Assessing, mapping, and optimizing the locations of sediment control check dams construction
2020
·
Hamid Reza Pourghasemi
, Saleh Yousefi
, et al.
·
The Science of The Total Environment
·
45
Mapping land cover and forest density in Zagros forests of Khuzestan province in Iran: A study based on Sentinel-2, Google Earth and field data
2022
·
Saeedeh Eskandari
, Sajjad Ali Mahmoudi Sarab
·
Ecological Informatics
·
29
Provision of eucalyptus wood farming potential map in Iran: An application of land cover, ecological, climatic, hydrologic, and edaphic analysis in a GIS-based fuzzy AHP framework
2022
·
Saeedeh Eskandari
, Kourosh Behnamfar
, et al.
·
Ecological Indicators
·
22
Modeling and Prediction of Habitat Suitability for Ferula gummosa Medicinal Plant in a Mountainous Area
2021
·
Majid Mohammady
, Hamid Reza Pourghasemi
, et al.
·
Natural Resources Research
·
21
Detection of Fire High-Risk Areas in Northern Forests of Iran Using Dong Model
2013
·
Saeedeh Eskandari
, Jafar Oladi Ghadikolaei
, et al.
·
20
Fire susceptibility modeling and mapping in Mediterranean forests of Turkey: a comprehensive study based on fuel, climatic, topographic, and anthropogenic factors
2024
·
Ana Novo
, Hurem Dutal
, et al.
·
Euro-Mediterranean Journal for Environmental Integration
·
15
Provision of land use and forest density maps in semi-arid areas of Iran using Sentinel-2 satellite images and vegetation indices
2024
·
Saeedeh Eskandari
, Seyed Kazem Bordbar
·
Advances in Space Research
·
9
Prediction of future forest fires using the MCDM method
2015
·
Saeedeh Eskandari
, Jafar Oladi Ghadikolaei
, et al.
·
Polish Journal of Environmental Studies
·
9
Application of a CA-based model to predict the fire front in Hyrcanian forests of Iran
2016
·
Saeedeh Eskandari
·
Arabian Journal of Geosciences
·
7
Fire Risk Modeling and Prediction in District Three of Neka-zalemroud Forest, Using Geographical Information System
2013
·
Saeedeh Eskandari
, Jafar Oladi Ghadikolaei
, et al.
·
DOAJ (DOAJ: Directory of Open Access Journals)
·
7
Effect of climate change on fire regimes in natural resources of northern Iran: investigation of spatiotemporal relationships using regression and data mining models
2023
·
Saeedeh Eskandari
, Hooman Ravanbakhsh
, et al.
·
Natural Hazards
·
5
Selection of the best pixel-based algorithm for land cover mapping in Zagros forests of Iran using Sentinel-2A data: A case study in Khuzestan province
2021
·
Saeedeh Eskandari
, Sajjad Ali Mahmoudi Sarab
, et al.
·
Elsevier eBooks
·
5
Assessment of Drainage System Standards of Forest Roads in Iran Using GIS
2013
·
Saeedeh Eskandari
, Seyed Ataollah Hosseini
·
Polish Journal of Environmental Studies
·
5
Role of Human Factors on Fire Occurrence in District Three of Neka Zalemroud Forests-Iran
2013
·
Saeedeh Eskandari
, Jafar Oladi Ghadikolaei
, et al.
·
5
Biomass and Leaf Area Index of Caucasian Hackberry (celtis Caucasica Willd.) in Taileh Urban Forest, Sanandaj, Iran
2012
·
Mehdi Pourhashemi
, Saeedeh Eskandari
, et al.
·
DOAJ (DOAJ: Directory of Open Access Journals)
·
5
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Works count:
48
Citation count:
989
H-index:
15
I10-index:
16
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