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Computer Science

D-Index
36
Citations
6300
World Ranking
11160
National Ranking
4625

Overview

Bahram Salehi is affiliated with the SUNY College of Environmental Science and Forestry in the United States. Their primary field of study is Environmental Science, with focused contributions across several subfields including Environmental Engineering, Ecology, Global and Planetary Change, Aerospace Engineering, and Ocean Engineering.

Their research topics extensively cover Remote Sensing and LiDAR Applications, Remote Sensing in Agriculture, Land Use and Ecosystem Services, Flood Risk Assessment and Management, Coastal Wetland Ecosystem Dynamics, Automated Road and Building Extraction, and Peatlands and Wetlands Ecology.

Frequent collaborators in their research include Masoud Mahdianpari, Fariba Mohammadimanesh, Brian Brisco, Jean Granger, and Haifa Tamiminia.

Bahram Salehi has published articles in several scientific venues notable for remote sensing and environmental science, including:

  • Remote Sensing
  • Canadian Journal of Remote Sensing
  • ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Recent publications associated with their work include:

  • Google Earth Engine for geo-big data applications: A meta-analysis and systematic review, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • A large-scale change monitoring of wetlands using time series Landsat imagery on Google Earth Engine: a case study in Newfoundland, 2020, GIScience & Remote Sensing
  • Wetland Monitoring Using SAR Data: A Meta-Analysis and Comprehensive Review, 2020, Remote Sensing
  • 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, 2020, Canadian Journal of Remote Sensing
  • Meta-Analysis of Wetland Classification Using Remote Sensing: A Systematic Review of a 40-Year Trend in North America, 2020, Remote Sensing

Best Publications

  • Google Earth Engine for geo-big data applications: A meta-analysis and systematic review

    Haifa Tamiminia;Bahram Salehi;Masoud Mahdianpari;Lindi Quackenbush

  • Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery

    Masoud Mahdianpari;Bahram Salehi;Mohammad Rezaee;Fariba Mohammadimanesh

  • Remote sensing for wetland classification: a comprehensive review

    Sahel Mahdavi;Bahram Salehi;Jean Granger;Meisam Amani

  • 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;Saeid Homayouni

  • Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band, and TerraSAR-X imagery

    Masoud Mahdianpari;Bahram Salehi;Fariba Mohammadimanesh;Mahdi Motagh

  • Deep Convolutional Neural Network for Complex Wetland Classification Using Optical Remote Sensing Imagery

    Mohammad Rezaee;Masoud Mahdianpari;Yun Zhang;Bahram Salehi

  • A new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem

    Fariba Mohammadimanesh;Fariba Mohammadimanesh;Bahram Salehi;Masoud Mahdianpari;Masoud Mahdianpari;Eric Gill

  • Temperature-Vegetation-soil Moisture Dryness Index (TVMDI)

    Meisam Amani;Bahram Salehi;Sahel Mahdavi;Ali Masjedi

  • 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 Elizabeth Granger;Fariba Mohammadimanesh

  • Spectral analysis of wetlands using multi-source optical satellite imagery

    Meisam Amani;Meisam Amani;Bahram Salehi;Bahram Salehi;Sahel Mahdavi;Sahel Mahdavi;Brian Brisco

  • Object-Based Classification of Urban Areas Using VHR Imagery and Height Points Ancillary Data

    Bahram Salehi;Yun Zhang;Ming Zhong;Vivek Dey

  • Wetland Monitoring Using SAR Data: A Meta-Analysis and Comprehensive Review

    Sarina Adeli;Bahram Salehi;Masoud Mahdianpari;Lindi J. Quackenbush

  • Multi-temporal, multi-frequency, and multi-polarization coherence and SAR backscatter analysis of wetlands

    Fariba Mohammadimanesh;Bahram Salehi;Masoud Mahdianpari;Brian Brisco

  • 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;Masoud Mahdianpari;Bahram Salehi;Fariba Mohammadimanesh;Fariba Mohammadimanesh;Brian Brisco

  • Wetland classification in Newfoundland and Labrador using multi-source SAR and optical data integration

    Meisam Amani;Bahram Salehi;Sahel Mahdavi;Jean Granger

  • Meta-Analysis of Wetland Classification Using Remote Sensing: A Systematic Review of a 40-Year Trend in North America

    Masoud Mahdianpari;Jean Elizabeth Granger;Fariba Mohammadimanesh;Bahram Salehi

  • WetNet: A Spatial-Temporal Ensemble Deep Learning Model for Wetland Classification Using Sentinel-1 and Sentinel-2

    Benyamin Hosseiny;Masoud Mahdianpari;Brian Brisco;Fariba Mohammadimanesh

  • Meta-analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-environmental Monitoring Using Machine Learning and Statistical Models

    Roghieh Eskandari;Masoud Mahdianpari;Fariba Mohammadimanesh;Bahram Salehi

  • Fisher Linear Discriminant Analysis of coherency matrix for wetland classification using PolSAR imagery

    Masoud Mahdianpari;Bahram Salehi;Fariba Mohammadimanesh;Brian Brisco

  • A Meta-Analysis on Harmful Algal Bloom (HAB) Detection and Monitoring: A Remote Sensing Perspective

    Rabia Munsaf Khan;Bahram Salehi;Masoud Mahdianpari;Fariba Mohammadimanesh

  • Wetland Classification Using Multi-Source and Multi-Temporal Optical Remote Sensing Data in Newfoundland and Labrador, Canada

    Meisam Amani;Bahram Salehi;Sahel Mahdavi;Jean Elizabeth Granger

  • Object-Based Classification of Wetlands in Newfoundland and Labrador Using Multi-Temporal PolSAR Data

    Sahel Mahdavi;Bahram Salehi;Meisam Amani;Jean Elizabeth Granger

Frequent Co-Authors

Brian Brisco
Brian Brisco Natural Resources Canada
Yun Zhang
Yun Zhang University of New Brunswick
Mahdi Motagh
Mahdi Motagh University of Hannover
Weimin Huang
Weimin Huang Memorial University of Newfoundland
Laura L. Bourgeau-Chavez
Laura L. Bourgeau-Chavez Michigan Technological University
Timothy A. Volk
Timothy A. Volk SUNY College of Environmental Science and Forestry
Derek R. Peddle
Derek R. Peddle University of Lethbridge

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