Fariba Mohammadimanesh

Author

Memorial University of Newfoundland ORCID

Also Known As

F. Mohammadimanesh, Fariba Mohammadimanesh

Publications

Citations

H-Index

Concepts

All Affiliations

Memorial University of Newfoundland Centre For Cold Ocean Resources Engineering State University of New York Institut National de la Recherche Scientifique SUNY College of Environmental Science and Forestry

About

Fariba Mohammadimanesh is an author at Memorial University of Newfoundland specializing in remote sensing, engineering, and geography.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	30	42	4.2K
2	Social Sciences	16	17	2K
3	Medicine	2	2	206
4	Computer Science	2	2	91
5	Civil Engineering	1	1	16

Fariba Mohammadimanesh

Publications

4.5K

Citations

H-Index

Page 1

	Year	Citations
Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review Mohammadreza Sheykhmousa, Masoud Mahdianpari, Hamid Ghanbari, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing EngineeringMachine LearningForest BiometricsForestryLand Cover	2020	1K
Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery Masoud Mahdianpari, Bahram Salehi, Mohammad Rezaee, Remote Sensing Convolutional Neural NetworkEngineeringMachine LearningLand UseWetland Mapping	2018	423
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 Masoud Mahdianpari, Bahram Salehi, Fariba Mohammadimanesh, Remote Sensing Earth ObservationEnvironmental MonitoringEngineeringForestrySentinel-2 Data	2018	294
Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band, and TerraSAR-X imagery Masoud Mahdianpari, Bahram Salehi, Fariba Mohammadimanesh, ISPRS Journal of Photogrammetry and Remote Sensing Environmental MonitoringTerrasar-x ImageryAlos-2 L-bandSynthetic Aperture RadarLand Use	2017	276
A new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem Fariba Mohammadimanesh, Bahram Salehi, Masoud Mahdianpari, ISPRS Journal of Photogrammetry and Remote Sensing RadarEarth ObservationConvolutional Neural NetworkPolarimetric Sar ImageryImage Analysis	2019	222
Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation Hamid Jafarzadeh, Masoud Mahdianpari, Eric W. Gill, Remote Sensing EngineeringMachine LearningBoosting Ensemble ClassifiersEnsemble AlgorithmEarth Science	2021	179
A large-scale change monitoring of wetlands using time series Landsat imagery on Google Earth Engine: a case study in Newfoundland Masoud Mahdianpari, Hamid Jafarzadeh, Jean Granger, GIScience & Remote Sensing Earth ObservationEnvironmental MonitoringEngineeringLand UseForestry	2020	152
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 Masoud Mahdianpari, Bahram Salehi, Fariba Mohammadimanesh, Canadian Journal of Remote Sensing	2020	117
Multi-temporal, multi-frequency, and multi-polarization coherence and SAR backscatter analysis of wetlands Fariba Mohammadimanesh, Bahram Salehi, Masoud Mahdianpari, ISPRS Journal of Photogrammetry and Remote Sensing RadarEnvironmental MonitoringEngineeringSynthetic Aperture RadarGeography	2018	108
Multi-task convolutional neural networks outperformed random forest for mapping soil particle size fractions in central Iran Ruhollah Taghizadeh‐Mehrjardi, Masoud Mahdianpari, Fariba Mohammadimanesh, Geoderma Precision AgricultureEngineeringForest InventoryData ScienceSoil Modeling	2020	108

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