Sahel Mahdavi

Orcid: 0000-0002-1670-151X

According to our database1, Sahel Mahdavi authored at least 22 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
A Combination of Remote Sensing Datasets for Coastal Marine Habitat Mapping Using Random Forest Algorithm in Pistolet Bay, Canada.
Remote. Sens., July, 2024

2023
Three-Dimensional Mapping of Habitats Using Remote-Sensing Data and Machine-Learning Algorithms.
Remote. Sens., September, 2023

2022
Remote Sensing Systems for Ocean: A Review (Part 2: Active Systems).
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Remote Sensing Systems for Ocean: A Review (Part 1: Passive Systems).
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Forty Years of Wetland Status and Trends Analyses in the Great Lakes Using Landsat Archive Imagery and Google Earth Engine.
Remote. Sens., 2022

Optimizing the Snake Model Using Honey-Bee Mating Algorithm for Road Extraction from Very High-Resolution Satellite Images.
Proceedings of the 10th International Conference on Agro-geoinformatics, 2022

River Eelgrass Detection using Very High-Resolution Satellite Imagery.
Proceedings of the 10th International Conference on Agro-geoinformatics, 2022

3D Habitat Mapping Using High-Resolution Optical Satellite and Lidar Data.
Proceedings of the 10th International Conference on Agro-geoinformatics, 2022

2021
A Probability-Based Daytime Algorithm for Sea Fog Detection Using GOES-16 Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Downscaling MODIS Land Surface Temperature Product Using an Adaptive Random Forest Regression Method and Google Earth Engine for a 19-Years Spatiotemporal Trend Analysis Over Iran.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Wetland Change Analysis in Alberta, Canada Using Four Decades of Landsat Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Evaluation of the Landsat-Based Canadian Wetland Inventory Map Using Multiple Sources: Challenges of Large-Scale Wetland Classification Using Remote Sensing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Wildfire Damage Assessment over Australia Using Sentinel-2 Imagery and MODIS Land Cover Product within the Google Earth Engine Cloud Platform.
Remote. Sens., 2021

Flood Hazard Mapping Using Fuzzy Logic, Analytical Hierarchy Process, and Multi-Source Geospatial Datasets.
Remote. Sens., 2021

2020
Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Application of Google Earth Engine Cloud Computing Platform, Sentinel Imagery, and Neural Networks for Crop Mapping in Canada.
Remote. Sens., 2020

2019
A PolSAR Change Detection Index Based on Neighborhood Information for Flood Mapping.
Remote. Sens., 2019

Canadian Wetland Inventory using Google Earth Engine: The First Map and Preliminary Results.
Remote. Sens., 2019

A dynamic classification scheme for mapping spectrally similar classes: Application to wetland classification.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2018
Speckle filtering of Synthetic Aperture Radar images using filters with object-size-adapted windows.
Int. J. Digit. Earth, 2018

2017
A dynamic hierarchical feature selection method for object-based classification of wetlands.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Evaluation of multi-temporal landsat 8 data for wetland classification in newfoundland, Canada.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017


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