| Google Earth Engine for geo-big data applications: A meta-analysis and systematic review H Tamiminia, B Salehi, M Mahdianpari, L Quackenbush, S Adeli, B Brisco ISPRS journal of photogrammetry and remote sensing 164, 152-170, 2020 | 997 | 2020 |
| Support vector machine versus random forest for remote sensing image classification: A meta-analysis and systematic review M Sheykhmousa, M Mahdianpari, H Ghanbari, F Mohammadimanesh, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 809 | 2020 |
| Very deep convolutional neural networks for complex land cover mapping using multispectral remote sensing imagery M Mahdianpari, B Salehi, M Rezaee, F Mohammadimanesh, Y Zhang Remote Sensing 10 (7), 1119, 2018 | 459 | 2018 |
| 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 M Mahdianpari, B Salehi, F Mohammadimanesh, S Homayouni, E Gill Remote Sensing 11 (1), 43, 2018 | 303 | 2018 |
| Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band, and TerraSAR-X imagery M Mahdianpari, B Salehi, F Mohammadimanesh, M Motagh ISPRS Journal of Photogrammetry and Remote Sensing 130, 13-31, 2017 | 298 | 2017 |
| Deep convolutional neural network for complex wetland classification using optical remote sensing imagery M Rezaee, M Mahdianpari, Y Zhang, B Salehi IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 238 | 2018 |
| A new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem F Mohammadimanesh, B Salehi, M Mahdianpari, E Gill, M Molinier ISPRS journal of photogrammetry and remote sensing 151, 223-236, 2019 | 204 | 2019 |
| Comparing deep learning and shallow learning for large-scale wetland classification in Alberta, Canada ER DeLancey, JF Simms, M Mahdianpari, B Brisco, C Mahoney, ... Remote Sensing 12 (1), 2, 2019 | 165 | 2019 |
| A systematic review of landsat data for change detection applications: 50 years of monitoring the earth MA Hemati, M Hasanlou, M Mahdianpari, F Mohammadimanesh Remote sensing 13 (15), 2869, 2021 | 160 | 2021 |
| Bagging and boosting ensemble classifiers for classification of multispectral, hyperspectral and PolSAR data: a comparative evaluation H Jafarzadeh, M Mahdianpari, E Gill, F Mohammadimanesh, ... Remote Sensing 13 (21), 4405, 2021 | 137 | 2021 |
| 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 … M Mahdianpari, B Salehi, F Mohammadimanesh, B Brisco, S Homayouni, ... Canadian journal of remote sensing 46 (1), 15-33, 2020 | 127 | 2020 |
| A large-scale change monitoring of wetlands using time series Landsat imagery on Google Earth Engine: a case study in Newfoundland M Mahdianpari, H Jafarzadeh, JE Granger, F Mohammadimanesh, ... GIScience & Remote Sensing 57 (8), 1102-1124, 2020 | 118 | 2020 |
| Wetland monitoring using SAR data: A meta-analysis and comprehensive review S Adeli, B Salehi, M Mahdianpari, LJ Quackenbush, B Brisco, ... Remote Sensing 12 (14), 2190, 2020 | 110 | 2020 |
| Multi-temporal, multi-frequency, and multi-polarization coherence and SAR backscatter analysis of wetlands F Mohammadimanesh, B Salehi, M Mahdianpari, B Brisco, M Motagh ISPRS Journal of Photogrammetry and Remote Sensing 142, 78-93, 2018 | 105 | 2018 |
| Multi-task convolutional neural networks outperformed random forest for mapping soil particle size fractions in central Iran R Taghizadeh-Mehrjardi, M Mahdianpari, F Mohammadimanesh, ... Geoderma 376, 114552, 2020 | 98 | 2020 |
| Fisher Linear Discriminant Analysis of coherency matrix for wetland classification using PolSAR imagery M Mahdianpari, B Salehi, F Mohammadimanesh, B Brisco, S Mahdavi, ... Remote Sensing of Environment 206, 300-317, 2018 | 96 | 2018 |
| Meta-analysis of wetland classification using remote sensing: A systematic review of a 40-year trend in North America M Mahdianpari, JE Granger, F Mohammadimanesh, B Salehi, B Brisco, ... Remote Sensing 12 (11), 1882, 2020 | 84 | 2020 |
| Meta-analysis of unmanned aerial vehicle (UAV) imagery for agro-environmental monitoring using machine learning and statistical models R Eskandari, M Mahdianpari, F Mohammadimanesh, B Salehi, B Brisco, ... Remote Sensing 12 (21), 3511, 2020 | 75 | 2020 |
| WetNet: A spatial–temporal ensemble deep learning model for wetland classification using Sentinel-1 and Sentinel-2 B Hosseiny, M Mahdianpari, B Brisco, F Mohammadimanesh, B Salehi IEEE transactions on geoscience and remote sensing 60, 1-14, 2021 | 63 | 2021 |
| Wetland water level monitoring using interferometric synthetic aperture radar (InSAR): A review F Mohammadimanesh, B Salehi, M Mahdianpari, B Brisco, M Motagh Canadian journal of remote sensing 44 (4), 247-262, 2018 | 63 | 2018 |
Fariba MohammadimaneshResearch Scientist, Natural Resources Canada (NRCan)כתובת אימייל מאומתת בדומיין nrcan-rncan.gc.ca