Assessing the Role of Environmental Covariates and Pixel Size in Soil Property Prediction: A Comparative Study of Various Areas in Southwest Iran

Autor: Pegah Khosravani, Majid Baghernejad, Ruhollah Taghizadeh-Mehrjardi, Seyed Roohollah Mousavi, Ali Akbar Moosavi, Seyed Rashid Fallah Shamsi, Hadi Shokati, Ndiye M. Kebonye, Thomas Scholten

Publikováno v: Land, Vol 13, Iss 8, p 1309 (2024)

(1) Background: The use of multiscale prediction or the optimal scaling of predictors can enhance soil maps by applying pixel size in digital soil mapping (DSM). (2) Methods: A total of 200, 50, and 129 surface soil samples (0–30 cm) were collected

Externí odkaz: https://doaj.org/article/d6c0bf6f308543d98329de81fcf49393

Economic evaluation of some of the most important ecosystem services in Zagros forests

Autor: Ali Akbar Jafarzadeh, Ali Mahdavi, Seyed Rashid Fallah Shamsi, Rasoul Yousefpour

Publikováno v: علوم محیطی, Vol 18, Iss 1, Pp 137-150 (2020)

Introduction: The contribution of ecosystems to the world's economy and human well-being has been widely recognized in science and policy. In temperate and semi-temperate forests, multi-functional services have been studied such as carbon storage, wo

Externí odkaz: https://doaj.org/article/38189a957fe34907a1098b2dd0e7370f

Spatial modeling, risk mapping, change detection, and outbreak trend analysis of coronavirus (COVID-19) in Iran (days between February 19 and June 14, 2020)

Autor: Gholamabbas Ghanbarian, Sedigheh Babaei, Bahram Heidari, Roja Safaeian, Mohammad Hassan Tarazkar, Hamid Reza Pourghasemi, Zakariya Farajzadeh, Mohammad Etemadi, Amir Azmi, Zahra Heidari, Faezeh Sadeghian, Rasoul Khosravi, John P. Tiefenbacher, Seyed Rashid Fallah Shamsi, Soheila Pouyan, Ahmad Farhadi

Publikováno v: International Journal of Infectious Diseases
International Journal of Infectious Diseases, Vol 98, Iss, Pp 90-108 (2020)

Highlights • comparing Iranian coronavirus data with other countries. • predicting the trends of deaths from COVID-19 using regression. • spatial modelling, risk mapping, and change detection of COVID-19 using the random forest (RF) machine lea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37498ff4a7cde43f405e8492ad8f3127
https://doi.org/10.1016/j.ijid.2020.06.058

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

Kernel-based granulometry of textural pattern measures on satellite imageries for fine-grain sparse woodlands mapping

Autor: Seyed Rashid Fallah Shamsi, Sara Zakeri-Anaraki, Masoud Masoudi

Textural measures of target objects have been studied to increase the accuracy of mapping sparse woodlands on satellite images. Kernel-based granulometry analyses were used to calculate BCM, NDC, RR, FI, H, and DI on QuickBird, RapidEye, and ASTER im

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1e12c29adf5e4d4a5fcf6aeec716e4cf
https://doi.org/10.1016/b978-0-323-89861-4.00016-6