Index of Soil Moisture Using Raw Landsat Image Digital Count Data in Texas High Plains. - Sanaz Shafian; Stephan J. Maas (Remote. Sens., 2015)

Improvement of the Trapezoid Method Using Raw Landsat Image Digital Count Data for Soil Moisture Estimation in the Texas (USA) High Plains. - Sanaz Shafian; Stephan J. Maas (Sensors, 2015)

UAV Oblique Imagery with an Adaptive Micro-Terrain Model for Estimation of Leaf Area Index and Height of Maize Canopy from 3D Point Clouds. - Minhui Li; Redmond R. Shamshiri; Michael Schirrmann; Cornelia Weltzien; Sanaz Shafian; Morten Stigaard Laursen (Remote. Sens., 2022)

Estimation of Bale Grazing and Sacrificed Pasture Biomass through the Integration of Sentinel Satellite Images and Machine Learning Techniques. - Milad Vahidi; Sanaz Shafian; Summer Thomas; Rory Maguire (Remote. Sens., 2023)

Pasture Biomass Estimation Using Ultra-High-Resolution RGB UAVs Images and Deep Learning. - Milad Vahidi; Sanaz Shafian; Summer Thomas; Rory Maguire (Remote. Sens., 2023)

Integrating RS data with fuzzy decision systems for innovative crop water needs assessment. - Faezeh Sadat Hashemi; Mohammad Javad Valadan Zoej; Fahimeh Youssefi; Huxiong Li; Sanaz Shafian; Mahdi Farnaghi; Saied Pirasteh (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Multi-depth soil moisture estimation via 1D convolutional neural networks from drone-mounted ground penetrating Radar data. - Milad Vahidi; Sanaz Shafian; William Hunter Frame (Comput. Electron. Agric., 2025)

Multi-Modal sensing for soil moisture mapping: Integrating drone-based ground penetrating radar and RGB-thermal imaging with deep learning. - Milad Vahidi; Sanaz Shafian; William Hunter Frame (Comput. Electron. Agric., 2025)