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Meisam Amani
Meisam Amani
NRCan, Ottawa, Canada
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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
9032020
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
3682018
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
2972020
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
2202019
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
1612017
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
1452018
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
1442021
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
1172021
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
1142020
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
1052017
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
1022017
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
982018
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
952016
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
912020
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
912019
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
832021
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
792023
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
702017
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
632022
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
602021
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