Modeling and Estimating the Land Surface Temperature (LST) Using Remote Sensing and Machine Learning (Case Study: Yazd, Iran).
Remote. Sens., February, 2024
Trend of Changes in Phenological Components of Iran's Vegetation Using Satellite Observations.
Remote. Sens., September, 2023
Optimizing Crop Management with Reinforcement Learning and Imitation Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Use of Landsat 8 and UAV Images to Assess Changes in Temperature and Evapotranspiration by Economic Trees following Foliar Spraying with Light-Reflecting Compounds.
Remote. Sens., December, 2022
Investigating the Ability to Identify New Constructions in Urban Areas Using Images from Unmanned Aerial Vehicles, Google Earth, and Sentinel-2.
Remote. Sens., 2022
Multispectral vineyard segmentation: A deep learning comparison study.
Comput. Electron. Agric., 2022
Spatio-Temporal Assessment of Global Gridded Evapotranspiration Datasets across Iran.
Remote. Sens., 2021
Multispectral Vineyard Segmentation: A Deep Learning approach.
CoRR, 2021