Theo dơi
Zohre Sadat Pourtaghi
Zohre Sadat Pourtaghi
Department of Environment Management Engineering, College of Natural Resources, Yazd University
Email được xác minh tại birjand.ac.ir - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance …
AM Youssef, HR Pourghasemi, ZS Pourtaghi, MM Al-Katheeri
Landslides 13, 839-856, 2016
7962016
Landslide susceptibility assessment in Lianhua County (China): a comparison between a random forest data mining technique and bivariate and multivariate statistical models
H Hong, HR Pourghasemi, ZS Pourtaghi
Geomorphology 259, 105-118, 2016
4372016
Groundwater qanat potential mapping using frequency ratio and Shannon’s entropy models in the Moghan watershed, Iran
SA Naghibi, HR Pourghasemi, ZS Pourtaghi, A Rezaei
Earth Science Informatics 8, 171-186, 2015
3692015
GIS-based groundwater spring potential assessment and mapping in the Birjand Township, southern Khorasan Province, Iran
ZS Pourtaghi, HR Pourghasemi
Hydrogeology Journal, 1-20, 2014
3492014
Groundwater spring potential mapping using bivariate statistical model and GIS in the Taleghan Watershed, Iran
DD Moghaddam, M Rezaei, HR Pourghasemi, ZS Pourtaghie, B Pradhan
2792013
Investigation of general indicators influencing on forest fire and its susceptibility modeling using different data mining techniques
ZS Pourtaghi, HR Pourghasemi, R Aretano, T Semeraro
Ecological indicators 64, 72-84, 2016
2592016
GIS-based multivariate adaptive regression spline and random forest models for groundwater potential mapping in Iran
M Zabihi, HR Pourghasemi, ZS Pourtaghi, M Behzadfar
Environmental Earth Sciences 75, 1-19, 2016
1952016
Forest fire susceptibility mapping in the Minudasht forests, Golestan province, Iran
ZS Pourtaghi, HR Pourghasemi, M Rossi
Environmental earth sciences 73 (4), 1515-1533, 2015
1582015
Evaluation de la potentialité des sources d’eau souterraine à partir d’un SIG et cartographie dans le district de Birjand, Sud de la province de Khorasan, Iran
ZS Pourtaghi, HR Pourghasemi
Hydrogeol J 22 (3), 643-662, 2014
42014
Avaliaçăo e mapeamento do potencial em nascentes de água subterrânea com base em SIG no município de Birjand, sul da Província de Khorasan, Irăo
ZS Pourtaghi, HR Pourghasemi
Hydrogeology Journal 22, 643-662, 2014
12014
Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance …
AM Youssef, HR Pourghasemi, ZS Pourtaghi, MM Al-Katheeri
Landslides 13 (5), 1315-1318, 2016
2016
Landslide susceptibility assessment in Lianhua County (China): a comparison between a random forest data mining technique and bivariate and multivariate statistical models.
HHY Hong HaoYuan, HR Pourghasemi, ZS Pourtaghi
2016
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