Masoud MahdianPari
Orcid: 0000-0002-7234-959X
According to our database1,
Masoud MahdianPari
authored at least 67 papers
between 2012 and 2024.
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Bibliography
2024
Enhancing Wetland Mapping: Integrating Sentinel-1/2, GEDI Data, and Google Earth Engine.
Sensors, March, 2024
Integrating SAR and Optical Data for Aboveground Biomass Estimation of Coastal Wetlands Using Machine Learning: Multi-Scale Approach.
Remote. Sens., March, 2024
State-wide forest canopy height and aboveground biomass map for New York with 10 m resolution, integrating GEDI, Sentinel-1, and Sentinel-2 data.
Ecol. Informatics, March, 2024
Compact-Polarimetric SAR Signature Analysis for Wetland Characterization Using RADARSAT Constellation Mission.
IEEE Trans. Geosci. Remote. Sens., 2024
Mapping Water Clarity in Small Oligotrophic Lakes Using Sentinel-2 Imagery and Machine Learning Methods: A Case Study of Canandaigua Lake in Finger Lakes, New York.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Enhanced Crop Discrimination and Monitoring Using Compact-Polarimetric SAR Signature Analysis From RADARSAT Constellation Mission.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Beyond Supervised Learning in Remote Sensing: A Systematic Review of Deep Learning Approaches.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
2023
FirePred: A hybrid multi-temporal convolutional neural network model for wildfire spread prediction.
Ecol. Informatics, December, 2023
Leveraging google earth engine cloud computing for large-scale arctic wetland mapping.
Int. J. Appl. Earth Obs. Geoinformation, December, 2023
Remote. Sens., October, 2023
Dual-Branch Fusion of Convolutional Neural Network and Graph Convolutional Network for PolSAR Image Classification.
Remote. Sens., January, 2023
Generating A 10 M Resolution Canopy Height Model Of New York State Using Gedi And Sentinel-2 Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Quantification and Mapping of Water Clarity for Freshwater Lakes Using Sentinel-2 Data and Random Forest Regression Model: Application on Finger Lakes, New York.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Crop Discrimination and Mapping Using Multi-Temporal RCM Compact Polarimetry SAR Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Remote Sensing and Machine Learning Tools to Support Wetland Monitoring: A Meta-Analysis of Three Decades of Research.
Remote. Sens., December, 2022
WetNet: A Spatial-Temporal Ensemble Deep Learning Model for Wetland Classification Using Sentinel-1 and Sentinel-2.
IEEE Trans. Geosci. Remote. Sens., 2022
A Meta-Analysis of Sea Ice Monitoring Using Spaceborne Polarimetric SAR: Advances in the Last Decade.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
3-D Hybrid CNN Combined With 3-D Generative Adversarial Network for Wetland Classification With Limited Training Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Wet-GC: A Novel Multimodel Graph Convolutional Approach for Wetland Classification Using Sentinel-1 and 2 Imagery With Limited Training Samples.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Mapping Two Decades of New York State Forest Aboveground Biomass Change Using Remote Sensing.
Remote. Sens., 2022
Eastern Arctic Sea Ice Sensing: First Results from the RADARSAT Constellation Mission Data.
Remote. Sens., 2022
Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification Using Sentinel-1, Sentinel-2, and LiDAR Data.
Remote. Sens., 2022
TCD-Net: A Novel Deep Learning Framework for Fully Polarimetric Change Detection Using Transfer Learning.
Remote. Sens., 2022
Remote. Sens., 2022
A Meta-Analysis of Remote Sensing Technologies and Methodologies for Crop Characterization.
Remote. Sens., 2022
PolSAR Image Classification Based on Deep Convolutional Neural Networks Using Wavelet Transformation.
IEEE Geosci. Remote. Sens. Lett., 2022
IEEE Geosci. Remote. Sens. Lett., 2022
3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer.
Ecol. Informatics, 2022
A deep learning framework based on generative adversarial networks and vision transformer for complex wetland classification using limited training samples.
Int. J. Appl. Earth Obs. Geoinformation, 2022
A Desktop-Based Methodology for Collecting Wetland Reference data over Inaccessible Arctic Landscapes.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Machine Learning Methods for Water Quality Monitoring Over Finger Lakes Using Sentinel-2.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Wetland Mapping by Jointly Use of Convolutional Neural Network and Graph Convolutional Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Iranian Wetland Hydroperiod Change Detection Using an Unsupervised Method on 20 Years of Landsat Data Within the Google Earth Engine.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the 10th International Conference on Agro-geoinformatics, 2022
2021
The Third Generation of Pan-Canadian Wetland Map at 10 m Resolution Using Multisource Earth Observation Data on Cloud Computing Platform.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
A Meta-Analysis on Harmful Algal Bloom (HAB) Detection and Monitoring: A Remote Sensing Perspective.
Remote. Sens., 2021
Comparing Solo Versus Ensemble Convolutional Neural Networks for Wetland Classification Using Multi-Spectral Satellite Imagery.
Remote. Sens., 2021
Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation.
Remote. Sens., 2021
A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth.
Remote. Sens., 2021
Assessing the Impacts of Rising Sea Level on Coastal Morpho-Dynamics with Automated High-Frequency Shoreline Mapping Using Multi-Sensor Optical Satellites.
Remote. Sens., 2021
Random Forest Outperformed Convolutional Neural Networks for Shrub Willow Above Ground Biomass Estimation Using Multi-Spectral UAS Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Wetland Mapping of Northern Provinces of Iran Using Sentinel-1 and Sentinel-2 in Google Earth Engine.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Ensemble Learning for Crop Monitoring from Multitemporal Optical and Synthetic Aperture Radar Earth Observations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the 34th IEEE Canadian Conference on Electrical and Computer Engineering, 2021
2020
Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Meta-Analysis of Wetland Classification Using Remote Sensing: A Systematic Review of a 40-Year Trend in North America.
Remote. Sens., 2020
Meta-analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-environmental Monitoring Using Machine Learning and Statistical Models.
Remote. Sens., 2020
Comparing Deep Learning and Shallow Learning for Large-Scale Wetland Classification in Alberta, Canada.
Remote. Sens., 2020
Hybrid Compact Polarimetric SAR for Environmental Monitoring with the RADARSAT Constellation Mission.
Remote. Sens., 2020
Remote. Sens., 2020
2019
Full and Simulated Compact Polarimetry SAR Responses to Canadian Wetlands: Separability Analysis and Classification.
Remote. Sens., 2019
The First Wetland Inventory Map of Newfoundland at a Spatial Resolution of 10 m Using Sentinel-1 and Sentinel-2 Data on the Google Earth Engine Cloud Computing Platform.
Remote. Sens., 2019
Mid-season Crop Classification Using Dual-, Compact-, and Full-Polarization in Preparation for the Radarsat Constellation Mission (RCM).
Remote. Sens., 2019
2018
Deep Convolutional Neural Network for Complex Wetland Classification Using Optical Remote Sensing Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery.
Remote. Sens., 2018
An efficient feature optimization for wetland mapping by synergistic use of SAR intensity, interferometry, and polarimetry data.
Int. J. Appl. Earth Obs. Geoinformation, 2018
A New Hierarchical Object-Based Classification Algorithm for Wetland Mapping in Newfoundland, Canada.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
X-band interferometric sar observations for wetland water level monitoring in newfoundland and labrador.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
A new speckle reduction algorithm of polsar images based on a combined Gaussian random field model and wavelet edge detection approach.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2012
Speckle reduction and restoration of synthetic aperture radar data with an adoptive Markov random field model.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Speckle reduction of SAR images using curvelet and wavelet transforms based on spatial features characteristics.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012