• Wetland

    Monitoring

  • Machine

    Learning

  • GHG Emission

    Monitoring

  • Crop

    Mapping

  • Geo-Big Data

    Analysis

Masoud Mahdianpari, Ph.D.

Remote Sensing Technical Lead, C-CORE

Cross-Appointed Professor, Department of Electrical and Computer Engineering, Memorial University of Newfoundland

Research Areas

Publications

Comprehensive Landsat-Based Analysis of Long-Term Surface Water Dynamics over Wetlands and Waterbodies in North America

Canadian Journal of Remote Sensing

2023-12-21 | Journal article

DOI: 10.1080/07038992.2023.2293058

State-wide forest canopy height and aboveground biomass map for New York with 10 m resolution, integrating GEDI, Sentinel-1, and Sentinel-2 data

Ecological Informatics

2023-13-13 | Journal article

DOI: 10.1016/j.ecoinf.2023.102404

Compact-Polarimetric SAR Signature Analysis for Wetland Characterization Using RADARSAT Constellation Mission

IEEE Transactions on Geoscience and Remote Sensing

2023-12-13 | Journal article

DOI: 10.1109/TGRS.2023.3342625

Leveraging google earth engine cloud computing for large-scale arctic wetland mapping

International Journal of Applied Earth Observation and Geoinformation

2023-12-01 | Journal article

DOI: 10.1016/j.jag.2023.103589

FirePred: A hybrid multi-temporal convolutional neural network model for wildfire spread prediction

Ecological Informatics

2023-12-01 | Journal article

DOI: 10.1016/j.ecoinf.2023.102282

Rapid Large-Scale Wetland Inventory Update Using Multi-Source Remote Sensing

Remote Sensing

2023-10-14 | Journal article

DOI: 10.3390/rs15204960

Beyond supervised learning in remote sensing: A systematic review of deep learning approaches

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2023-09-19 | Journal article

DOI: 10.1109/JSTARS.2023.3316733

S2MetNet: A novel dataset and deep learning benchmark for methane point source quantification using Sentinel-2 satellite imagery

Remote Sensing of Environment

2023-09-01 | Journal article

DOI: 10.1016/j.rse.2023.113708

Quantification and Mapping of Water Clarity for Freshwater Lakes Using Sentinel-2 Data and Random Forest Regression Model: Application on Finger Lakes, New York

IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium

2023-07-16 | Conference article

DOI: 10.1109/IGARSS52108.2023.10283059

Generating A 10 M Resolution Canopy Height Model Of New York State Using Gedi And Sentinel-2 Data

IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium

2023-07-16 | Conference article

DOI: 10.1109/IGARSS52108.2023.10282782

Crop Discrimination and Mapping Using Multi-Temporal RCM Compact Polarimetry SAR Data

IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium

2023-07-16 | Conference article

DOI: 10.1109/IGARSS52108.2023.10282545

Gedi and Sentinel-2 Integration for Mapping Complex Wetlands

IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium

2023-07-16 | Conference article

DOI: 10.1109/IGARSS52108.2023.10283238

The Study of Electrical Potential, Remote Sensing, and Preservation of Biosignatures at Sites of Serpentinization (SERP)

Goldschmidt 2023 Conference

2023-07-13 | Conference article

Climate Change-Driven Coastal Erosion in Sandbanks Provincial Park, Ontario, Canada

The 33rd International Ocean and Polar Engineering Conference

2023-06-19 | Conference article

Evaluation of Iceberg Draft and Iceberg-Seabed Interaction Using Random Forest Regression Algorithm

The 33rd International Ocean and Polar Engineering Conference

2023-06-19 | Conference article

Iranian wetland inventory map at a spatial resolution of 10 m using Sentinel-1 and Sentinel-2 data on the Google Earth Engine cloud computing platform

Environmental Monitoring and Assessment

2023-05 | Journal article

DOI: 10.1007/s10661-023-11202-z

Sensitivity analysis of parameters governing the iceberg draft through neural network-based models

Journal of Ocean Engineering and Marine Energy

2023-05-03 | Journal article

DOI: 10.1007/s40722-023-00285-y

Mapping potential wetlands by a new framework method using random forest algorithm and big Earth data: A case study in China’s Yangtze River Basin

Global Ecology and Conservation

2023-04-01 | Journal article

DOI: 10.1016/j.gecco.2023.e02397

HYPERSPECTRAL IMAGE CLASSIFICATION USING MULTI-LAYER PERCEPTRON MIXER (MLP-MIXER)

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2023-02-07 | Journal article

Determination of Parameters Affecting the Estimation of Iceberg Draft

China Ocean Engineering

2023-02 | Journal article

DOI: 10.1007/s13344-023-0006-6

A deep learning framework based on generative adversarial networks and vision transformer for complex wetland classification using limited training samples

International Journal of Applied Earth Observation and Geoinformation

2022-12-1 | Journal article

DOI: 10.1016/j.jag.2022.103095

Remote Sensing and Machine Learning Tools to Support Wetland Monitoring: A Meta-Analysis of Three Decades of Research

Remote Sensing

2022-12-1 | Journal article

DOI: 10.3390/rs14236104

Dual-Branch Fusion of Convolutional Neural Network and Graph Convolutional Network for PolSAR Image Classification

Remote Sensing

2022-12-23 | Journal article

DOI: 10.3390/rs15010075

Monitoring Shoreline and Land Use/Land Cover Changes in Sandbanks Provincial Park Using Remote Sensing and Climate Data

Water

2022-11-8 | Journal article

DOI: 10.3390/w14223593

3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer

Ecological Informatics

2022-12-1 | Journal article

DOI: 10.1016/j.ecoinf.2022.101904

Iceberg-seabed interaction analysis in sand by a random forest algorithm

Polar Science

2022-10-21 | Journal article

DOI: 10.1016/j.polar.2022.100902

3-D Hybrid CNN Combined With 3-D Generative Adversarial Network for Wetland Classification With Limited Training Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2022-9-26 | Journal article

DOI: 10.1109/JSTARS.2022.3206143

Mapping Two Decades of New York State Forest Aboveground Biomass Change Using Remote Sensing

Remote Sensing

2022-8-21 | Journal article

DOI: 10.3390/rs14164097

Iceberg-seabed interaction evaluation in clay seabed using tree-based machine learning algorithms

Journal of Pipeline Science and Engineering

2022-8-1 | Journal article

DOI: 10.1016/j.jpse.2022.100075

A Meta-Analysis of Sea Ice Monitoring Using Spaceborne Polarimetric SAR: Advances in the Last Decade

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2022-07-27 | Journal article

DOI: 10.1109/JSTARS.2022.3194324

Iranian Wetland Hydroperiod Change Detection Using an Unsupervised Method on 20 Years of Landsat Data Within the Google Earth Engine

IEEE International Geoscience and Remote Sensing Symposium

2022-07-17 | Conference article

DOI: 10.1109/IGARSS46834.2022.9884716

Machine Learning Methods for Water Quality Monitoring Over Finger Lakes Using Sentinel-2

IEEE International Geoscience and Remote Sensing Symposium

2022-07-17 | Conference article

DOI: 10.1109/IGARSS46834.2022.9883230

A Desktop-Based Methodology for Collecting Wetland Reference data over Inaccessible Arctic Landscapes

IEEE International Geoscience and Remote Sensing Symposium

2022-07-17 | Conference article

DOI: 10.1109/IGARSS46834.2022.9883985

Wetland Classification with Swin Transformer Using Sentinel-1 and Sentinel-2 Data

IEEE International Geoscience and Remote Sensing Symposium

2022-07-17 | Conference article

DOI: 10.1109/IGARSS46834.2022.9884602

Results Update on the Performance of the Radarsat Constellation Mission

IEEE International Geoscience and Remote Sensing Symposium

2022-07-17 | Conference article

DOI: 10.1109/IGARSS46834.2022.9883906

Wetland Mapping by Jointly Use of Convolutional Neural Network and Graph Convolutional Network

IEEE International Geoscience and Remote Sensing Symposium

2022-07-17 | Conference article

DOI: 10.1109/IGARSS46834.2022.9883783

NFNet Based Sea Ice Classification From RADARSAT Constellation Mission Data

International Conference on Agro-geoinformatics (Agro-Geoinformatics)

2022-07 | Conference article

DOI: 10.1109/LGRS.2022.3185557

A Comparative Analysis of Pixel-Based and Object-Based Approaches for Forest Above-Ground Biomass Estimation Using Random Forest Model

ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

2022-06 | Journal article

DOI: 10.5194/isprs-archives-XLVI-M-2-2022-191-2022

SAR Despeckling based on CNN and Bayesian Estimator in Complex Wavelet Domain

IEEE Geoscience and Remote Sensing Letters

2022-06 | Journal article

DOI: 10.1109/LGRS.2022.3185557

Wet-GC: A Novel Multi-model Graph Convolutional Approach for Wetland Classification using Sentinel-1 and 2 Imagery with Limited Training Samples

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2022-06 | Journal article

DOI: 10.1109/JSTARS.2022.3177579

PolSAR Image Classification based on Deep Convolutional Neural Networks using Wavelet Transformationhttps://ieeexplore.ieee.org/abstract/document/9802110

IEEE Geoscience and Remote Sensing Letters

2022-06-21 | Journal article

DOI: 10.1109/LGRS.2022.3185118

Regional Crop Characterization Using Multi-Temporal Optical and Synthetic Aperture Radar Earth Observations Data

Canadian Journal of Remote Sensing

2022-03-04 | Journal article

DOI: 10.1080/07038992.2021.2011180

THE IMPORTANCE OF SEASONAL TEXTURAL FEATURES FOR OBJECT-BASED CLASSIFICATION OF WETLANDS: NEW YORK STATE CASE STUDY

The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences

2022 | Conference article

DOI: 10.5194/isprs-archives-XLIII-B3-2022-471-2022

Meta-Learning for Wetland Cclassification using a combination of Sentinel-1 and Sentinel-2 imegery

ISPRS Annals of the Photogrammetry, Remote Sensing, and Spatial Information Sciences

2022 | Conference article

DOI: 10.5194/isprs-annals-V-3-2022-47-2022

EVALUATING PIXEL-BASED AND OBJECT-BASED APPROACHES FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF OPTICAL, SAR, AND AN EXTREME GRADIENT BOOSTING MODEL

ISPRS Annals of the Photogrammetry, Remote Sensing, and Spatial Information Sciences

2022 | Conference article

DOI: 10.5194/isprs-annals-V-3-2022-485-2022

STATE-WIDE WETLAND INVENTORY MAP OF MINNESOTA USING MULTI-SOURCE AND MULTI-TEMPORALREMOTE SENSING DATA

ISPRS Annals of the Photogrammetry, Remote Sensing, and Spatial Information Sciences

2022 | Conference article

DOI: 10.5194/isprs-annals-V-3-2022-411-2022

The RADARSAT Constellation Mission Core Applications: First Results

Remote Sensing

2022-01 | Journal article

DOI: 10.3390/rs14020301

Swin Transformer for Complex Coastal Wetland Classification Using the Integration of Sentinel-1 and Sentinel-2 Imagery

Water

2022-01 | Journal article

DOI: 10.3390/w14020178

Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification Using Sentinel-1, Sentinel-2, and LiDAR Data

Remote Sensing

2022-01 | Journal article

DOI: 10.3390/rs14020359

TCD-Net: A Novel Deep Learning Framework for Fully Polarimetric Change Detection Using Transfer Learning

Remote Sensing

2022-01 | Journal article

DOI: 10.3390/rs14030438

Eastern Arctic Sea Ice Sensing: First Results from the RADARSAT Constellation Mission Data

Remote Sensing

2022-02-26 | Journal article

DOI: 10.3390/rs14051165

Simulation of Subgouge Sand Deformations Using Robust Machine Learning Algorithms

Offshore Technology Conference

2022-04-25 | Conference article

DOI: 10.4043/31937-MS

Decision tree-based machine learning models for above-ground biomass estimation using multi-source remote sensing data and object-based image analysis

Geocarto International

2022-04-27 | Journal article

DOI: 10.1080/10106049.2022.2071475

A Systematic Review of Landsat Data for Change Detection Applications: 50 Years of Monitoring the Earth

Remote Sensing

2021-07-22 | Journal article

DOI: 10.3390/rs13152869

Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation

Remote Sensing

2021-11-02 | Journal article

DOI: 10.3390/rs13214405

A Meta-Analysis on Harmful Algal Bloom (HAB) Detection and Monitoring: A Remote Sensing Perspective

Remote Sensing

2021-10-28 | Journal article

DOI: 10.3390/rs13214347

Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data

GIScience & Remote Sensing

2021-10-03 | Journal article

DOI: 10.1080/15481603.2021.1965399

Oil spill detection from Synthetic Aperture Radar Earth observations: a meta-analysis and comprehensive review

GIScience & Remote Sensing

2021-10-03 | Journal article

DOI: 10.1080/15481603.2021.1952542

Assessing the Impacts of Rising Sea Level on Coastal Morpho-Dynamics with Automated High-Frequency Shoreline Mapping Using Multi-Sensor Optical Satellites

Remote Sensing

2021-09-09 | Journal article

DOI: 10.3390/rs13183587

A Cloud-Based Framework for Large-Scale Monitoring of Ocean Plastics Using Multi-Spectral Satellite Imagery and Generative Adversarial Network

Water

2021-09 | Journal article

DOI: 10.3390/w13182553

Deep Learning-Based Estimation of Crop Biophysical Parameters Using Multi-Source and Multi-Temporal Remote Sensing Observations

Agronomy

2021-07-03 | Journal article

DOI: 10.3390/agronomy11071363

Comparing Solo Versus Ensemble Convolutional Neural Networks for Wetland Classification Using Multi-Spectral Satellite Imagery

Remote Sensing

2021-05-22 | Journal article

DOI: 10.3390/rs13112046

CJRS’ Special Issue on Deep Learning for Environmental Applications of Remote Sensing Data

Canadian Journal of Remote Sensing

2021-03-04 | Journal article

DOI: 10.1080/07038992.2021.1931786

Comparison of Machine and Deep Learning Methods to Estimate Shrub Willow Biomass from UAS Imagery

Canadian Journal of Remote Sensing

2021-03-04 | Journal article

DOI: 10.1080/07038992.2021.1926952

Wetland Mapping Using Multi-Spectral Satellite Imagery and Deep Convolutional Neural Networks: A Case Study in Newfoundland and Labrador, Canada

Canadian Journal of Remote Sensing

2021-03-04 | Journal article

DOI: 10.1080/07038992.2021.1901562

RADARSAT Constellation Mission’s Operational Polarimetric Modes: A User-Driven Radar Architecture

Canadian Journal of Remote Sensing

2021-01-02 | Journal article

DOI: 10.1080/07038992.2021.1907566

A Meta-Analysis of Convolutional Neural Networks for Remote Sensing Applications

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2021 | Journal article

DOI: 10.1109/JSTARS.2021.3065569

The Third Generation of Pan-Canadian Wetland Map at 10 m Resolution Using Multisource Earth Observation Data on Cloud Computing Platform

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2021 | Journal article

DOI: 10.1109/JSTARS.2021.3105645

WetNet: A Spatial-Temporal Ensemble Deep Learning Model for Wetland Classification Using Sentinel-1 and Sentinel-2

IEEE Transactions on Geoscience and Remote Sensing

2021 | Journal article

DOI: 10.1109/TGRS.2021.3113856

A large-scale change monitoring of wetlands using time series Landsat imagery on Google Earth Engine: a case study in Newfoundland

GIScience & Remote Sensing

2020-11-16 | Journal article

DOI: 10.1080/15481603.2020.1846948

Meta-analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-environmental Monitoring Using Machine Learning and Statistical Models

Remote Sensing

2020-10-26 | Journal article

DOI: 10.3390/rs12213511

Hybrid Compact Polarimetric SAR for Environmental Monitoring with the RADARSAT Constellation Mission

Remote Sensing

2020-10 | Journal article

DOI: 10.3390/rs12203283

Wetland Monitoring Using SAR Data: A Meta-Analysis and Comprehensive Review

Remote Sensing

2020-07-09 | Journal article

DOI: 10.3390/rs12142190

Google Earth Engine for geo-big data applications: A meta-analysis and systematic review

ISPRS Journal of Photogrammetry and Remote Sensing

2020-06 | Journal article

DOI: 10.1016/j.isprsjprs.2020.04.001

Meta-Analysis of Wetland Classification Using Remote Sensing: A Systematic Review of a 40-Year Trend in North America

Remote Sensing

2020-06 | Journal article

DOI: 10.3390/rs12111882

The Second Generation Canadian Wetland Inventory Map at 10 Meters Resolution Using Google Earth Engine

Canadian Journal of Remote Sensing

2020-05-03 | Journal article

DOI: 10.1080/07038992.2020.1802584

Big Data for a Big Country: The First Generation of Canadian Wetland Inventory Map at a Spatial Resolution of 10-m Using Sentinel-1 and Sentinel-2 Data on the Google Earth Engine Cloud Computing Platform

Canadian Journal of Remote Sensing

2020-01-02 | Journal article

DOI: 10.1080/07038992.2019.1711366

Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2020 | Journal article

DOI: 10.1109/JSTARS.2020.3026724

An efficient feature optimization for wetland mapping by synergistic use of SAR intensity, interferometry, and polarimetry data

International Journal of Applied Earth Observation and Geoinformation

2018-12 | Journal article

DOI: 10.1016/j.jag.2018.06.005

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 Sensing

2018-12 | Journal article

DOI: 10.3390/rs11010043

Deep Convolutional Neural Network for Complex Wetland Classification Using Optical Remote Sensing Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2018-09 | Journal article

DOI: 10.1109/JSTARS.2018.2846178

Wetland Water Level Monitoring Using Interferometric Synthetic Aperture Radar (InSAR): A Review

Canadian Journal of Remote Sensing

2018-07-04 | Journal article

DOI: 10.1080/07038992.2018.1477680

Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery

Remote Sensing

2018-07 | Journal article

DOI: 10.3390/rs10071119

Fisher Linear Discriminant Analysis of coherency matrix for wetland classification using PolSAR imagery

Remote Sensing of Environment

2018-03 | Journal article

DOI: 10.1016/j.rse.2017.11.005

Multi-temporal, multi-frequency, and multi-polarization coherence and SAR backscatter analysis of wetlands

ISPRS Journal of Photogrammetry and Remote Sensing

2018 | Journal article

DOI: 10.1016/j.isprsjprs.2018.05.009

A novel contextual speckle reduction method of PolSAR images: Evaluation of speckle reduction effects on sea ice classification

IGTF 2017 – Imaging and Geospatial Technology Forum 2017, ASPRS Annual Conference

2017 | Conference paper

EID: 2-s2.0-85021734554

An Assessment of Simulated Compact Polarimetric SAR Data for Wetland Classification Using Random Forest Algorithm

Canadian Journal of Remote Sensing

2017 | Journal article

DOI: 10.1080/07038992.2017.1381550

Monitoring of wetland water levels in Newfoundland and Labrador using Interferometric Synthetic Aperture Radar (INSAR) technique

IGTF 2017 – Imaging and Geospatial Technology Forum 2017, ASPRS Annual Conference

2017 | Conference paper

EID: 2-s2.0-85021717564

Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band, and TerraSAR-X imagery

ISPRS Journal of Photogrammetry and Remote Sensing

2017 | Journal article

DOI: 10.1016/j.isprsjprs.2017.05.010

The Effect of PolSAR Image De-speckling on Wetland Classification: Introducing a New Adaptive Method

Canadian Journal of Remote Sensing

2017 | Journal article

DOI: 10.1080/07038992.2017.1381549

Unsupervised wishart classfication of wetlands in Newfoundland, Canada using polsar data based on fisher linear discriminant analysis

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives

2016 | Conference paper

DOI: 10.5194/isprsarchives-XLI-B7-305-2016

Agricultural land classification based on statistical analysis of full Polarimetric SAR data

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives

2013 | Conference paper

EID: 2-s2.0-84924334832

Image enhancement and speckle reduction of full polarimetric SAR data by Gaussian Markov random field

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences – ISPRS Archives

2013 | Conference paper

EID: 2-s2.0-84924341202

Polarimetric SAR Data for Urban Land Cover Classification Using Finite Mixture Model

EGU General Assembly Conference Abstracts

2013 | Conference paper

Speckle reduction and restoration of synthetic aperture radar data with an adoptive markov random field model

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

2012 | Conference paper

DOI: 10.1109/IGARSS.2012.6351584

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