| Google earth engine cloud computing platform for remote sensing big data applications: A comprehensive review M Amani, A Ghorbanian, SA Ahmadi, M Kakooei, A Moghimi, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 927 | 2020 |
| Remote sensing for wetland classification: A comprehensive review S Mahdavi, B Salehi, J Granger, M Amani, B Brisco, W Huang GIScience & remote sensing 55 (5), 623-658, 2018 | 378 | 2018 |
| Improved land cover map of Iran using Sentinel imagery within Google Earth Engine and a novel automatic workflow for land cover classification using migrated training samples A Ghorbanian, M Kakooei, M Amani, S Mahdavi, A Mohammadzadeh, ... ISPRS journal of photogrammetry and remote sensing 167, 276-288, 2020 | 303 | 2020 |
| Canadian wetland inventory using Google Earth Engine: The first map and preliminary results M Amani, S Mahdavi, M Afshar, B Brisco, W Huang, ... Remote Sensing 11 (7), 842, 2019 | 226 | 2019 |
| Temperature-vegetation-soil moisture dryness index (TVMDI) M Amani, B Salehi, S Mahdavi, A Masjedi, S Dehnavi Remote sensing of environment 197, 1-14, 2017 | 171 | 2017 |
| Mangrove ecosystem mapping using Sentinel-1 and Sentinel-2 satellite images and random forest algorithm in Google Earth Engine A Ghorbanian, S Zaghian, RM Asiyabi, M Amani, A Mohammadzadeh, ... Remote sensing 13 (13), 2565, 2021 | 146 | 2021 |
| Spectral analysis of wetlands using multi-source optical satellite imagery M Amani, B Salehi, S Mahdavi, B Brisco ISPRS journal of photogrammetry and remote sensing 144, 119-136, 2018 | 146 | 2018 |
| Wildfire damage assessment over Australia using sentinel-2 imagery and MODIS land cover product within the google earth engine cloud platform ST Seydi, M Akhoondzadeh, M Amani, S Mahdavi Remote Sensing 13 (2), 220, 2021 | 118 | 2021 |
| A new end-to-end multi-dimensional CNN framework for land cover/land use change detection in multi-source remote sensing datasets ST Seydi, M Hasanlou, M Amani Remote Sensing 12 (12), 2010, 2020 | 117 | 2020 |
| Wetland classification in Newfoundland and Labrador using multi-source SAR and optical data integration M Amani, B Salehi, S Mahdavi, J Granger, B Brisco GIScience & Remote Sensing 54 (6), 779-796, 2017 | 107 | 2017 |
| Wetland classification using multi-source and multi-temporal optical remote sensing data in Newfoundland and Labrador, Canada M Amani, B Salehi, S Mahdavi, JE Granger, B Brisco, A Hanson Canadian Journal of Remote Sensing 43 (4), 360-373, 2017 | 102 | 2017 |
| 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 | 99 | 2018 |
| Two new soil moisture indices based on the NIR-red triangle space of Landsat-8 data M Amani, S Parsian, SM MirMazloumi, O Aieneh International Journal of Applied Earth Observation and Geoinformation 50 …, 2016 | 95 | 2016 |
| Application of google earth engine cloud computing platform, sentinel imagery, and neural networks for crop mapping in Canada M Amani, M Kakooei, A Moghimi, A Ghorbanian, B Ranjgar, S Mahdavi, ... Remote Sensing 12 (21), 3561, 2020 | 94 | 2020 |
| A generalized supervised classification scheme to produce provincial wetland inventory maps: An application of Google Earth Engine for big geo data processing M Amani, B Brisco, M Afshar, SM Mirmazloumi, S Mahdavi, SMJ Mirzadeh, ... Big Earth Data 3 (4), 378-394, 2019 | 91 | 2019 |
| Flood hazard mapping using fuzzy logic, analytical hierarchy process, and multi-source geospatial datasets S Parsian, M Amani, A Moghimi, A Ghorbanian, S Mahdavi Remote Sensing 13 (23), 4761, 2021 | 83 | 2021 |
| Flood susceptibility mapping using multi-temporal SAR imagery and novel integration of nature-inspired algorithms into support vector regression S Mehravar, SV Razavi-Termeh, A Moghimi, B Ranjgar, F Foroughnia, ... Journal of Hydrology 617, 129100, 2023 | 82 | 2023 |
| Object-based classification of wetlands in Newfoundland and Labrador using multi-temporal PolSAR data S Mahdavi, B Salehi, M Amani, JE Granger, B Brisco, W Huang, A Hanson Canadian Journal of Remote Sensing 43 (5), 432-450, 2017 | 71 | 2017 |
| Comparison of machine learning algorithms for flood susceptibility mapping ST Seydi, Y Kanani-Sadat, M Hasanlou, R Sahraei, J Chanussot, ... Remote Sensing 15 (1), 192, 2022 | 69 | 2022 |
| Estimating daily high-resolution PM2. 5 concentrations over Texas: Machine Learning approach M Ghahremanloo, Y Choi, A Sayeed, AK Salman, S Pan, M Amani Atmospheric Environment 247, 118209, 2021 | 61 | 2021 |
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