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

Autor: Saeedeh Eskandari, Jessica R. Miesel

Publikováno v: Geomatics, Natural Hazards & Risk, Vol 8, Iss 2, Pp 933-949 (2017)

This study was done to evaluate the efficiency of three methods to predict the high-risk areas for fire in District Three of Neka Zalemroud forests located in Mazandaran Province, Iran. The fuzzy analytic hierarchy process (fuzzy AHP) and the spatial

Externí odkaz: https://doaj.org/article/7a76cf22a2834d14a44e45ce6bcadf58

Assessing and mapping distribution, area, and density of riparian forests in southern Iran using Sentinel-2A, Google earth, and field data

Autor: Saeedeh Eskandari, Hamid Reza Pourghasemi

Publikováno v: Environmental Science and Pollution Research. 29:79605-79617

Riparian forests in Iran are valuable ecosystems which have many ecological values. Because of destruction of these forests in recent years, providing spatio-temporal information from area and distribution of these ecosystems has been receiving much

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::430034c570fea285fac26d34f9735ffd
https://doi.org/10.1007/s11356-022-21478-2

Modeling and Prediction of Habitat Suitability for Ferula gummosa Medicinal Plant in a Mountainous Area

Autor: Emran Dastres, Saleh Yousefi, Hamid Reza Pourghasemi, Saeedeh Eskandari, Mohsen Edalat, Majid Mohammady, Soheila Pouyan

Publikováno v: Natural Resources Research. 30:4861-4884

Habitat suitability modeling and mapping are important aspects of long-term strategies for sustaining plant ecosystems. In this study, seven state-of-the-art machine learning models including boosted regression tree (BRT), functional discriminant ana

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5624f3cb2104af1d5292818b98a12107
https://doi.org/10.1007/s11053-021-09940-3

Landslide susceptibility assessment and mapping using state-of-the art machine learning techniques

Autor: Mahdis Amiri, M. Santosh, Nitheshnirmal Sadhasivam, Saeedeh Eskandari, Hamid Reza Pourghasemi

Publikováno v: Natural Hazards. 108:1291-1316

Landslides pose a serious risk to human life and the natural environment. Here, we compare machine learning algorithms including the generalized linear model (GLM), mixture discriminant analysis (MDA), boosted regression tree (BRT), and functional di

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7bbcf7f65cab683795bfd182a57672fa
https://doi.org/10.1007/s11069-021-04732-7

Contributors

Autor: Sohaib K.M. Abujayyab, Maryam Aghaei, Adeel Ahmad, Fatemeh Ahmadloo, Stavros G. Alexandris, Shakir Ali, Sajjad Ali Mahmoudi Sarab, Amir Alizadeh, Hadi Alizadeh, Meisam Amani, Ouafi Ameur-Zaimeche, Abdulfattah Ahmad Amin, Atiyeh Amindin, Mahdis Amiri, Charaf-Eddine Aouam, Ebrahim Asgari, Sedigheh Babaei, Yasser Baleghi, Abdollah Bameri, Anil Bhardwaj, Mojgan Bordbar, Ali Boustan, Trupti Chandrasekhar, Songchao Chen, Asheer Chhetri, Christian Conoscenti, Manju Sara Dahal, Ali Danandeh Mehr, Saha Dauji, Diego García de Jalón, José A.M. Demattê, Payam Ebrahimi, Mohammad Reza Ekhtesasi, Ahmed Elbeltagi, Sayed Naeim Emami, Saeedeh Eskandari, Seyed Rashid Fallah Shamsi, Zakariya Farajzadeh, Hassan Fathizad, Khosro Fazelpoor, Shilan Felegari, G.P. Ganapathy, E. Gayathiri, Hemant Ghalley, Gholamabbas Ghanbarian, Arsalan Ghorbanian, Hammad Gilani, R. Gobinath, Ahmad Golchin, Abbas Goli Jirandeh, Mohsen Golian, Farshad Haghighian, Salim Heddam, Anis Heidari, Bahram Heidari, Mohsen Hosseinalizadeh, Hooshyar Hossini, J. Jayanthi, Mohammad Kakooei, Kleomenis Kalogeropoulos, Sahar Karami, Christos A. Karavitis, Alireza Karimi, Hazhir Karimi, Mahdi Karimi, Narges Kariminejad, Abdullah Kaviani Rad, Rabah Kechiched, Tirumalesh Keesari, Farhad Khormali, Mojdeh Mohammadi Khoshoui, Mahboobeh Kiani-Harchegani, Sungwon Kim, Ozgur Kisi, Aiding Kornejady, Elham Kouchaki, Petr Kubíček, Luigi Lombardo, Sandhya Makkar, Sedigheh Maleki, Anurag Malik, Iman Mallakpour, Vanesa Martínez-Fernández, Masoud Masoudi, Ahmad Reza Mehrabian, Majid Mohammady, Marzieh Mokarram, Ali Akbar Moosavi, Kamran Moravej, Hamidreza Mosaffa, Hossein Mostafavi, Raoof Mostafazadeh, Hasan Mozaffari, Mojtaba Naghdyzadegan Jahromi, Zeynab Najafi, Farzaneh Khajoei Nasab, Andrea Nascetti, Hassan Khavarian Nehzak, Mohammad Nekooeimehr, Majid Niazkar, Rigzin Norbu, Panagiotis D. Oikonomou, Yaser Ostovari, Sina Paryani, Sangey Pasang, Moujhuri Patra, Raúl Roberto Poppiel, Hamid Reza Pourghasemi, Mehdi Pourhashemi, Soheila Pouyan, Vishnu Prasad, Hamidreza Rabiei-Dastjerdi, M.G. Ragunathan, Soroor Rahmanian, Ahmad Rastegarnia, Jesús Rodrigo-Comino, Mojtaba Sadeghi, Shahriar Sadeghi, Majid Sadeghinia, Ashwini Arun Salunkhe, Arnold R. Salvacion, Mahmood Samadi, Alireza Sarvarinezhad, Erhan Şener, Şehnaz Şener, Munawar Shah, Alireza Sharifi, Ebrahim Sharifi Teshnizi, Ifrah Shaukat, Shashank Shekhar, Safdar Ali Shirazi, Esmaeil Silakhori, Sukhdeep Singh, U. Sinthuja, Nikolaos Stathopoulos, Ruhollah Taghizadeh-Mehrjardi, Ali Talebi, Enes Taşoğlu, Mahboobeh Tayebi, S. Thavamani, John P. Tiefenbacher, Suren Timsina, Demetrios E. Tsesmelis, Simge Varol, Constantina G. Vasilakou, Tshering Wangchuk, Saleh Yousefi, Abrar Yousuf, Sara Zakeri-Anaraki, Mohammad Zakwan, Mehdi Zarei, Efthimios Zervas, Mohammad Zounemat-Kermani

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::89c6a992d5a9480966cc1e0ae1516b2b
https://doi.org/10.1016/b978-0-323-89861-4.09993-0