| Estimating water level in the Urmia Lake using satellite data: a machine learning approach M Boueshagh, M Hasanlou The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 7 | 2019 |
| A Hyperspectral Change Detection (HCD-Net) Framework Based on Double Stream Convolutional Neural Networks and an Attention Module ST Seydi, M Boueshagh, F Namjoo, SM Minouei, Z Nikraftar, M Amani Remote Sensing 16 (5), 827, 2024 | | 2024 |
| A New Hyperspectral Change Detection (HCD-Net) Framework Based on Double Stream CNN and Attention Module ST Seydi, M Boueshagh, F Namjoo, SM Minouei, Z Nikraftar, M Amani Preprints, 2024 | | 2024 |
| Can Calibrated Enhanced-Resolution Brightness Temperature (CETB) Spatial Standard Deviation Document Snowpack Evolution in the Western USA? M Boueshagh, JM Ramage, V Jagdeo, MJ Brodzik, MA Hardman, ... 103rd AMS Annual Meeting, 2023 | | 2023 |
| Where in the World Don’t We Find In-Situ Snow Wetness Data? Implications for Remote Sensing and Modeling of Snow Processes V Jagdeo, JM Ramage, M Boueshagh, MJ Brodzik, E Deeb 103rd AMS Annual Meeting, 2023 | | 2023 |
| Refining/Automating DAV Snow Melt Algorithms using Passive Microwave Calibrated Enhanced-Resolution Brightness Temperature (CETB) Data in Alaska Watersheds M Boueshagh, JM Ramage, V Jagdeo, MJ Brodzik Eastern Snow Conference (ESC) 2023, 2023 | | 2023 |
| Passive Microwave Remote Sensing of Snow melt and Freeze/Thaw in the Kuparuk Basin, Alaska V Jagdeo, JM Ramage, M Boueshagh, MJ Brodzik Eastern Snow Conference (ESC) 2023, 2023 | | 2023 |
| Leveraging Passive Microwave Calibrated, Enhanced-Resolution Brightness Temperatures (CETB) for Automated Snowmelt Detection in Alaska Watersheds M Boueshagh, JM Ramage, MJ Brodzik, V Jagdeo AGU Annual Meeting 2023, 2023 | | 2023 |
| Significant Reprocessing of Calibrated, Enhanced-Resolution Brightness Temperatures (CETBs) to Improve Cryospheric Applications M Hardman, MJ Brodzik, DG Long, JZ Miller, JM Ramage, M Boueshagh, ... AGU Annual Meeting 2023, 2023 | | 2023 |
| Where in the World Do We Find In-situ Snow Wetness Data? Results of Literature Review and Community Survey V Jagdeo, M Boueshagh, JM Ramage, MJ Brodzik, EJ Deeb AGU Fall Meeting Abstracts 2022, C12B-0576, 2022 | | 2022 |
| Development of snow wetness in situ data distribution survey V Jagdeo, M Boueshagh, JM Ramage, MJ Brodzik, E Deeb CGU/CMOS/ESC 2022, 2022 | | 2022 |
| Time series prediction of Urmia Lake’s water level through Artificial Neural Network and satellite imagery M Boueshagh, M Hasanlou 6th International Conference on Signal Processing and Intelligent Systems …, 2020 | | 2020 |
| Water level estimation in the Urmia Lake using a Kernel Method M Boueshagh, M Hasanlou International Student Congress on New Technologies in Engineering (MUISC2019 …, 2019 | | 2019 |
| Assessing the Impact of Climate Change on Snowpack and Water Levels in the Urmia Lake Basin, Iran: A Remote Sensing and Machine Learning Approach M Boueshagh School of Surveying and Geospatial Engineering, College of Engineering …, 2019 | | 2019 |
| Time series water level prediction in Urmia Lake using Artificial Neural Network M Boueshagh, M Hasanlou, A Aziz IEEE International Symposium on Geoscience and Remote Sensing (IGARSS), 2019 | | 2019 |
| Time series snow depth estimation using the passive microwave remote sensing and the Support Vector Regression method M Boueshagh, M Esmaeilzade, M Hasanlou Geomatics and GIT 97 conference, 2018 | | 2018 |
Joan M. RamageEarth and Environmental Sciences and ADVANCE Center, Lehigh UniversityVerified email at lehigh.edu
