An Automated Python Language-Based Tool for Creating Absence Samples in Groundwater Potential Mapping. - Omid Rahmati; Davoud Davoudi Moghaddam; Vahid Moosavi; Zahra Kalantari; Mahmood Samadi; Saro Lee; Dieu Tien Bui (Remote. Sens., 2019)

Multi-Hazard Exposure Mapping Using Machine Learning Techniques: A Case Study from Iran. - Omid Rahmati; Saleh Yousefi; Zahra Kalantari; Evelyn Uuemaa; Teimur Teimurian; Saskia Keesstra; Tien-Dat Pham; Dieu Tien Bui (Remote. Sens., 2019)

Spatio-Temporal Assessment of Global Gridded Evapotranspiration Datasets across Iran. - Davood Moshir Panahi; Sadegh Sadeghi Tabas; Zahra Kalantari; Carla Sofia Santos Ferreira; Bagher Zahabiyoun (Remote. Sens., 2021)

Investigating the Ability to Identify New Constructions in Urban Areas Using Images from Unmanned Aerial Vehicles, Google Earth, and Sentinel-2. - Fahime Arabi Aliabad; Hamid Reza Ghafarian Malamiri; Saeed Shojaei; Alireza Sarsangi; Carla Sofia Santos Ferreira; Zahra Kalantari (Remote. Sens., 2022)

Use of Landsat 8 and UAV Images to Assess Changes in Temperature and Evapotranspiration by Economic Trees following Foliar Spraying with Light-Reflecting Compounds. - Fahime Arabi Aliabad; Saeed Shojaei; Mortaz Morad; Carla Sofia Santos Ferreira; Zahra Kalantari (Remote. Sens., 2022)

Optimizing Crop Management with Reinforcement Learning and Imitation Learning. - Ran Tao; Pan Zhao 003; Jing Wu 020; Nicolas F. Martin; Matthew Tom Harrison; Carla Sofia Santos Ferreira; Zahra Kalantari; Naira Hovakimyan (IJCAI, 2023)

Trend of Changes in Phenological Components of Iran's Vegetation Using Satellite Observations. - Hadi Zare Khormizi; Hamid Reza Ghafarian Malamiri; Zahra Kalantari; Carla Sofia Santos Ferreira (Remote. Sens., 2023)

Using Satellite Images And Self-supervised Machine Learning Networks To Detect Water Hidden Under Vegetation. - Ioannis Iakovidis; Zahra Kalantari; Amir Hossein Payberah; Fernando Jaramillo; Francisco Pena Escobar (CoRR, 2025)