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Refereed Journal Papers

 

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* and ** Indicate the papers for which the first author is my graduet student at the time of publication, and past graduate students, respectively (listed in reverse chronology)
68*. Jarrahizadeh, S., , Salehi, B., 2024. A Comparative Analysis of UAV Photogrammetric Software Performance for Forest 3D Modeling: A Case Study Using AgiSoft Photoscan, PIX4DMapper, and DJI Terra. Sensors, 24(1),286.

67*. Munsaf-Khan, R., , Salehi, B., Nirumand-Jadidi, M., Mahdianpari, M., 2024. Mapping Water Clarity of Small Oligotrophic Lakes Using Sentinel-2 Imagery and Machine Learning Methods: A Case Study of Canandaigua Lake in Finger Lakes, New York. IEEE J. of Selected Topics in Applied Earth Observations and Remote Sensing, Vol(18),4674-4688.

66*. Tamiminia, H., , Salehi, B., Mahdianpari, M., Goulden, T., 2023. Statewide Forest Canopy Height and Aboveground Biomass Map for New York with 10m Resolution, Integrating GEDI, Sentinel-1, and Sentinel-2 Data. Ecological Informatics, Vol(9),102404.

65*. Igwe, V., Salehi, B., Mahdianpari M.,   2023. Rapid Large-Scale Wetland Inventory Update Using Multi-Source Remote Sensing. Remote Sensing , 5(20), 4960.

64. Takhtkeshha, N., Mohammadzadeh, A., Salehi, B. 2023. A Rapid Self-Supervised Deep-Learning-Based Method for Post-Earthquake Damage Detection Using UAV Data (Case Study: Sarpol-e Zahab, Iran). Remote Sensing, 2023, 15(1), 123.

63. Radman, A., Mahdianpari, M., Brisco, B.,  Salehi, B., Mohammadimanesh, F., 2023. Jarahizadeh, S., Sarafraz, A., 2022. Dual-Branch Fusion of Convolutional Neural Network and Graph Convolutional Network for PolSAR Image Classification. Remote Sensing, 2022, 15(1), 75.

62. Jamali, A., Mahdianpari, M., Brisco, B., Mao, D., Salehi, B., Mohammadimanesh, F. 2022.  3DUNetGSFormer: A deep learning pipeline for complex wetland mapping using generative adversarial networks and Swin transformer.  Ecological Informatics, Vol 72, 101904

61. Jamali, A., Mahdianpari, M., Brisco, B., Granger, J., Mohammadimanesh, F., Salehi, B. 2021. Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data. GIScience & Remote Sensing, 58(7), 1072-1089

60. Salehi, B., Jarahizadeh, S., Sarafraz, A., 2022. An Improved RANSAC Outlier Rejection Method for UAV-derived Point Cloud. Remote Sensing, 2022, 14(19), 4917.

59. Jamali, A., Mahdianpari, M., Brisco, B., Mohammadimanesh, F., Salehi, B. , 2022. 3D Hybrid CNN Combined with 3D Generative Adversarial Network for Wetland Classification with Limited Training Data. IEEE Journal of Selected Topics in Earth Observations and Remote Sensing, 15(8095-8108). DOI: 10.1109/JSTARS.2022.3206143

58*. Tamiminia, H., Salehi, B., Mahdianpari, M., Beier, C., Johnson, L., 2022. Mapping Two Decades of New York State Forest Aboveground Biomass Change Using Remote Sensing Remote Sensing, 2022, 14 (16), 4097

57*. Tamiminia, H., Salehi, B., Mahdianpari, M., Beier, C., Johnson, L., 2022. Decision tree-based machine learning models for above-ground biomass estimation using multi-source remote sensing data and object-based image analysis. Geocarto International. DOI:   /10.1080/10106049.2022.2071475

56. Jamali, A., Mahdianpari, M., Mohammadimanesh, F., Brisco, B., Salehi, B., 2021. A Synergic Use of Sentinel-1 and Sentinel-2 Imagery for Complex Wetland Classification Using Generative Adversarial Network (GAN) Scheme. Water (13)-3601.

55. Mohsenifar, A., Mohammadzadeh, A., Moghimi, A., Salehi, B., 2021. A Novel Unsupervised Forest Change Detection Method Based on the Integration of a Multiresolution Singular Value Decomposition Fusion and an Edge-Aware Markov Random Field Algorithm. International Journal of Remote Sensing, DOI: 10.1080/01431161.2021.1995075

54*. Munsaf-Khan, R., Salehi, B., Mahdianpari, M., Mohammadimanesh, F., Mountrakis, G., Quackenbush, L., 2021. A Meta-Analysis on Harmful Algal Bloom (HAB) Detection and Monitoring: A Remote Sensing Perspective, Related Studies Utilizing Satellite-Based Remotely Sensed Imagery. Remote Sensing, 13(21), 4347.

53*. Adeli, S., Salehi, B., Mahdianpari, M., Quackenbush, L., Chapman, B., 2021. Moving towards L-Band NASA-ISRO SAR Mission (NISAR) Dense Time Series: Multi-Polarization Object-Based Classification of Wetlands using Two Machine Learning Algorithms.AGU Earth and Space Science Journal, DOI: 10.1029/2021EA001742.  2021, 8(11).

52. Hosseiny, B., Mahdianpari, M., Brisco, Mohammadimanesh, F., Salehi, B., 2021. WetNet: A Spatial-Temporal Ensemble Deep Learning Model for Wetland Classification Based on Sentinel-1 and Sentinel-2. IEEE Transactions on Geoscience and Remote Sensing, Vol. 60

51**. Mahdianpari, M., Brisco, B., Granger, J., Mohammadimanesh, F., Salehi, B., Homayouni S., B-Chavez, L. 2021. The Third Generation of Pan-Canadian Wetland Map at 10 m Resolution Using Multisource Earth Observation Data on Cloud Computing Platform.IEEE Journal of Selected Topics in Earth Observations and Remote Sensing. DOI: 10.1109/JSTARS.2021.3105645

50**. Granger, J. E. Mahdianpari, M., Puestow, T., Warren, S. Mohammadimanesh, F. Salehi, B., Brisco, B., 2021. Object-based random forest wetland mapping in Conne River, Newfoundland, Canada. Journal of Applied Remote Sensing, 5(3), 038506 (2021).

49*. Tamiminia, H., Salehi, B., Mahdianpari, M., Beier, C., D.J. Klimkowski, and Volk, T., 2021. Comparison of Machine and Deep Learning Methods to Estimate Shrub Willow Biomass from UAS Imagery.Canadian Journal of Remote Sensing. DOI: 10.1080/07038992.2021.1926952

48. Jamali, A., Mahdianpari, M., Brisco, B., Granger, J., Mohammadimanesh, F., Salehi, B., 2021. Comparing Solo versus Ensemble Convolutional Neural Networks for Wetland Classification Using Multi-Spectral Satellite Imagery. Remote Sensing 13(11), 2046.

47. Jamali, A., Mahdianpari, M., Brisco, B., Granger, J., Mohammadimanesh, F., Salehi, B., 2021. Wetland Mapping Using Multi-Spectral Satellite Imagery and Deep Convolutional Neural Networks: A Case Study in Newfoundland and Labrador, Canada.Canadian Journal of Remote Sensing. DOI: 10.1080/07038992.2021.1901562.

46**. Mahdianpari, M., Granger, J., Mohammadimanesh, F., Warren, S., Puestow, T., Salehi, B., Brisco, B., 2020. Smart solutions for smart cities: Urban wetland mapping using very-high resolution satellite imagery and airborne LiDAR data in the City of St. John's, NL, Canada. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2020.111676.

45**. Mahdianpari, M., Jafarzadeh, H., Granger, J., Mohammadimanesh, F., Brisco, B, Salehi, B., Homayouni, S., Weng, Q., 2020. A large-scale change monitoring of wetlands using time series Landsat imagery on Google Earth Engine: a case study in Newfoundland.GIScience and Remote Sensing. https://doi.org/10.1080/15481603.2020.1846948.

44. Eskandari, R., Mahdianpari, M., Mohammadimanesh, F., Salehi, B., Brisco, B., Homayouni, S., 2020. Meta-Analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-Environmental Monitoring Using Machine Learning and Statistical Models. Remote Sensing, 2(21),DOI: 10.3390/rs12213511

43**. Mahdianpari, M., Brisco, B., Granger, J., Mohammadimanesh, F., Salehi, B.; Banks S.; Homayouni, S.; Bourgeau-Chavez, L.; Weng, Q., 2020. The Second Generation Canadian Wetland Inventory Map at 10 m Spatial Resolution Using Google Earth Engine. Canadian Journal of Remote Sensing, DOI: 10.1080/07038992.2020.1802584

42*. Adeli, S., Salehi, B., Mahdianpari, Quackenbush, L., Brisco, B., Tamiminia, H., and Shaw, S., 2020. Wetland monitoring using SAR data: A meta-analysis and systematic review. Remote Sensing, 12,DOI: 10.3390/rs12142190

41**. Mahdianpari, M., Granger, J. E., Mohammadimanesh, F., Salehi, B., Brisco, B., Homayouni, S., Gill, E., Huberty, B., Lang, M. 2020. Meta-Analysis of Wetland Classification Using Remote Sensing: A Systematic Review of a 40-Year Trend in North America. Remote Sensing, 12, 1882.

40*. Tamiminia, H., Salehi, B., Mahdianpari, M., Quackenbush, L., Adeli, S., and Brisco, B., 2020. Google Earth Engine for Geo-big data Analysis and Applications: A Meta-Analysis and Systematic Review. ISPRS Journal of Photogrammetry and Remote Sensing, 164 (2020) 152-170.

39**. Mahdianpari, M., Salehi, B., Mohammadimanesh, F., Brisco, B., Homayouni, S., Gill, E., DeLancey, E.R., Bourgeau-Chavez, L., 2020. 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. Canadian Journal of Remote Sensing, https://doi.org/10.1080/07038992.2019.1711366.

38*. Mahdavi, S., Salehi, B., Huang, W., Amani, M., Brisco, B, 2019. A PolSAR change detection index based on neighbourhood information for flood monitoring. Remote Sensing, 11(16), 1854.

37*. Mahdavi, S., Salehi, B., Amani, M., Brisco, B., Granger, J., and Huang, W., 2019. A Dynamic Classification Scheme for Mapping Spectrally Similar Classes: Application to Wetland Classification.Int. J. of Applied Earth Observation and Geoinformation, 83 (2019) 101914.

36*. Amani, M., Salehi, B., Mahdavi, S., Brisco, B., 2019. Separability analysis of wetlands using multi-source SAR data. GIScinence and Remote Sensing, 56 (8), 1233-1260.

35*. Mahdianpari, M., Mohammadimanesh, F., McNairin, H., Davidson, A., Rezaee, M., Salehi, B., and Homayouni S., 2019. Mid-season crop classification using dual-, compact-, and full-polarization in preparation for the RADARSAT Constellation Mission (RCM). Remote Sensing, 11(13), 1582.

34*. Mohammadimanesh, F., Salehi, B., Mahdianpari, M., Gill, E., Molinier, M., 2019. A New Fully Convolutional Neural Network for Semantic Segmentation of Polarimetric SAR Imagery in Complex Land Cover Ecosystem. ISPRS Journal of Photogrammetry and Remote Sensing, 151(2019), 223-236.

33*. Mahdianpari, M., Motagh, M., Akbari, V., Mohammadimanesh, F., Salehi, B., 2019. A Gaussian Random Field Model for De-speckling of multi-polarized Synthetic Aperture Radar Data. Advances in Space Research, 64(1), 64-78.

32*. Mohammadimanesh, F., Salehi, B., Mahdianpari, B., Brisco, and Gill, E., 2019. Full and Simulated Compact Polarimetry SAR Responses to Canadian Wetlands: Separability Analysis and Classification. Remote Sensing, 11(5), 516.

31*. Mahdianpari, M., Salehi, B., Mohammadimanesh, F., Homayouni, S., Gill, E., 2019. The First Wetland Inventory Map of Newfoundland Using Sentinel-1 and Sentinel-2 Data on the Google Earth Engine Cloud Computing Platform. Remote Sensing, 11(1), 43.

30*. Mohammadimanesh, F., Salehi, B., Mahdianpari, M., English, J., Chamberland, J., and Alasset, P. J., 2018. Monitoring Surface Change in Discontinuous Permafrost Terrain using SAR Interferometry, Object-based Classification and Geological Features: A Case Study from Mayo, Yukon Territory, Canada. GIScience & Remote Sensing, 56 (4), 485-510.

29*. Mahdianpari, M., Salehi, B., Mohammadimanesh, F., Larsen, G., and Peddle, D., 2018. Mapping Land-Based Oil Spills Using High Spatial Resolution Unmanned Aerial Vehicle (UAV) Imagery and Electromagnetic Induction Survey Data. Journal of Applied Remote Sensing, 12 (3), 036015.

28*. Mohammadimanesh, F., Salehi, B., Mahdianpari, M., Motagh, M., Brisco, B., 2018. An efficient feature optimization for wetland mapping by synergistic use of SAR intensity, interferometry, and polarimetry data. Int. J. Appl. Earth Obs. Geoinf, 73 (2018), 450-462.

27*. Mahdianpari, M., Salehi, B.; Rezaee, M., Mohammadimanesh, F., Zhang, Y., 2018. Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery. Remote Sensing. 2018, 10, 1119.

26*. Rezaee, M.; Mahdianpari, M.; Zhang, Y.; Salehi, B, 2018. Deep Convolutional Neural Network for Complex Wetland Classification Using Optical Remote Sensing Imagery.IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 11 (9).

25*. Amani, M., Salehi, B., Mahdavi, S., Brisco, B., 2018. Spectral analysis of wetlands using multi-source optical satellite imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 144(2018), 119-136.

24*. Mohammadimanesh, F., Salehi, B., Mahdianpari, M., Brisco, B., and Motagh, M., 2018. Multi-temporal, multi- frequency, and multi- polarization coherence and SAR backscatter of wetlands. ISPRS Journal of Photogrammetry and Remote Sensing, 142(2018), 78-93.

23*. Mohammadimanesh, F., Salehi, B., Mahdianpari, M., Brisco, and M. Motagh, 2018. Wetland Water Level Monitoring Using Interferometric Synthetic Aperture Radar (InSAR): A Review.Canadian Journal of Remote Sensing. DOI: 10.1080/07038992.2018.1477680

22*. Amani, M., Salehi, B., Mahdavi, S., Brisco, B., Shehata, M., 2018. A multiple classifier system to improve mapping complex land covers: A case study of wetland classification using SAR data in Newfoundland and Labrador, Canada. International Journal of Remote Sensing, 39 (21), 7370-7383.

21*. Yavari, S., Valadan, M., and Salehi, B., 2018. An Automatic Optimum Number of Well-Distributed Ground Control Lines Selection Procedure Based on Genetic Algorithm. ISPRS Journal of Photogrammetry and Remote Sensing, 139 (2018), 46-56.

20*. Mahdavi, S., Salehi, B., Moloney, C., Huang, W., and B. Brisco 2018. Speckle Filtering of Synthetic Aperture Radar Images Using Filters with Object-Size Adapted Windows. International Journal of Digital Earth, 11(7) 703-729.

19*. Mahdavi, S., Salehi, B., Amani, M., Granger, J., and Brisco, B., 2017. Remote sensing for wetland classification: A comprehensive review.GIScience & Remote Sensing, pp. 1-36 DOI: 10.1080/15481603.2017.1419602

18*. Mahdianpari, M., Salehi, B., Mohammadimanesh, F., Brisco, B., Mahdavi, S., Amani, M., Granger, J., 2017. Fisher Linear Discriminant Analysis of the coherency matrix for wetland classification of PolSAR imagery. Remote Sensing of Environment, 206(2018) 300-317.

17*. Mahdianpari, M., Salehi, B., Mohammadimanesh, F., and B. Brisco, 2017. An Assessment of Simulated Compact Polarimetric SAR Data for Wetland Classification Using Random Forest Algorithm.Canadian Journal of Remote Sensing, Vol 43, No 5, pp. 468-484.

16*. Mahdianpari, M., Salehi, B., Mohammadimanesh, F., 2017. The effect of PolSAR image de-speckling on wetland classification: introducing a new adaptive method.Canadian Journal of Remote Sensing, Vol 43, No 5, pp. 485-503.

15*. Amani, M., Salehi, B., Amani, M., Mahdavi, S., Granger, J., Brisco, B., Hanson, A., 2017. Wetland classification using multi-source and multi-temporal optical remote sensing data in Newfoundland and Labrador, Canada. Canadian Journal of Remote Sensing, 43 (4), 360-373.

14*. Mahdavi, S., Salehi, B., Amani, M., Granger, J., Brisco, B., Hunag, W. and Hanson, A., 2017. Object-based Classification of Wetlands in Newfoundland and Labrador Using Multi-Temporal PolSAR Data.Canadian Journal of Remote Sensing, Vol. 43, No. 5, pp. 432-450.

13*. Mahdianpari, M., Salehi, B., Mohammadimanesh, F., and M. Motagh, 2017. Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band, and TerraSAR-X imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 130 (2017) 13-31.

12*. Amani, M., Salehi, B., Mahdavi, S., Granger, J., Brisco, B., 2017. Wetland classification in Newfoundland and Labrador using multi-source SAR and optical data integration. GIScience & Remote Sensing, 54 (6), 779-796.

11*. Amani, M., Salehi, B., Masjedi, A., Dehnavi, S, 2017. Temperature-Vegetation-soil Moisture Dryness Index (TVMDI). Remote Sensing of Environment, Vol. 197, pp. 1-14.

10. Salehi, B., B. Daneshfar, A. Davidson, 2017. Object-based image analysis for accurate crop type classification using multi-temporal optical and multi-polarization SAR data. International Journal Remote Sensing, 38 (14) 4130-4155.

9. Salehi, B., Z. Chen, W. Jefferies, P. Adlakha, P. Bobby, and D. Power, 2014. Well site extraction from Landsat-5 TM imagery using an object- and pixel-based image analysis method. International Journal of Remote Sensing, Vol. 35, No. 23, pp. 7941-7958.

8. Chen, Z., W. Jefferies, P. Adlakha, B. Salehi, and D. Power, 2014. Monitoring linear disturbance footprint based on dense time-series Landsat imagery. Canadian Journal of Remote Sensing, Vol. 40, pp. 348-361.

7. Salehi, B., Y. Zhang, M. Zhong, 2013. A combined pixel-and object-based image analysis framework for urban land cover classification of VHR imagery. Photogrammetric Engineering & Remote Sensing, 79 (11), 999-1014.

6. Dey, V., Y. Zhang, M. Zhong, B. Salehi, 2013. Image segmentation techniques for urban land cover segmentation of VHR imagery: Recent Developments and Future prospects. International Journal of GeoInformatics, 9 (4).

5. Salehi, B., Y. Zhang, M. Zhong, 2012. Automatic moving vehicle information extraction from single-pass WorldView-2 imagery. IEEE Journal of Selected Topic in Earth Observation and Remote Sensing, Vol. 5, No. 1, pp. 135-145.

4. Salehi, B., Y. Zhang, M. Zhong, V. Dey, 2012. A review of the effectiveness of spatial information used in urban land cover classification of VHR imagery. International Journal of GeoInformatics, Vol. 8, No.3, pp. 35-51.

3. Salehi, B., Y. Zhang, M. Zhong, 2012. Object-based land covers classification of urban areas using VHR imagery and height points ancillary data. Remote Sensing, Vol. 4, No.8, pp. 2256-2276.

2. Salehi, B., M. J. Valadan Zouj, M. Varshosaz, 2008. Projection Pursuit and Lowpass Filtering for Preprocessing of Hyperspectral Images. World Applied Sciences Journal, Vol.3, No.5, pp. 785-796.

1. Salehi, B., M. J. Valadan Zoej, M.R. Saradjian, 2008. A Preprocessing Stage before the Feature Extraction Procedure in Classification of Hyperspectral Images Data. Journal of University of Tehran, College of Engineering.Vol. 42, No. 3, pp. 102-113

Book Chapters

 
3. Mahdianpari, M., Brisco, B. Salehi, B. , Granger, J., Mohammadimanesh, F., Lang, Toure, S., 2022."Toward a North American continental wetland map from space: wetland classification using satellite imagery and machine learning algorithms on Google Earth Engine. " Book Chapter in: Earth Observation Radar Remote Sensing Application and Challenges.  Page 357-373, ISBN978-1-78985-014-7

2. Salehi, B., Mahdianpari, M., Amani, M., Mohammadimanesh, F., Granger J., Mahdavi S., Brisco, B., 2018."A collection of novel algorithms for wetland classification using optical and SAR data." Book Chapter in: Wetland Management. ISBN978-1-78985-014-7

1. Dey, V., Salehi, B., Zhang, Y., 2014. "1. Dey, V., B. Salehi, Y. Zhang 2014. "Object-based image analysis for urban studies." Book Chapter in: Global Urban Monitoring and Assessment through Earth Observation, Taylor and Francis/CRC Press, Boca Raton, Florida, USA. ".

Conferences Papers

 
43*. Tamiminia, H., Salehi, B.., Mahdianpari, M., Beier, C., Johnson, L., 2022. Evaluating Pixel-Based and Object-Based Approaches for Forest Above-Ground Biomass Estimation Using a Combination of Optical, SAR, and an Extreme Gradient Boosting Model.ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 485-492,

42*. Igwe, V., Salehi, B.., Mahdianpari, M., 2022. State-Wide Wetland Inventory Map of Minnesota Using Multi-Source and Multi-Temporal Remote Sensing Data.ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 411-416,

41*. Adeli, S., L. J. Quackenbush, B. Salehi, and M. Mahdianpari, 2022. The Importance of Seasonal Textural Features for Object-Based Classification of Wetlands: New York State Case Study.Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 471-477, 2022.

40. Salehi, B.., Jarahizadeh, S., 2022. Improving the UAV-derived DSM by Introducing a Modified RANSAC Algorithm.Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., Vol. XLIII-B2-2022, 147-152, 2022.

39*. Tamiminia, H., Salehi, B.., Mahdianpari, M., Beier, C., Klimkowski, D., Volk, T., 2021. Random Forest Outperformed Convolutional Neural Networks For Shrub Willow Above Ground Biomass Estimation Using Multi-Spectral UAS Imagery.ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-3. 235-241, 2021

38*. Tamiminia, H., Salehi, B.., Mahdianpari, M., Beier, C., Klimkowski, D., Volk, T., 2021. Random Forest Outperformed Convolutional Neural Networks For Shrub Willow Above Ground Biomass Estimation Using Multi-Spectral UAS Imagery. In Proceedings of IEEE-IGARSS 2021 Conference

37*. Munsaf Khan, R. M., Salehi, B.., Mahdianpari, M., & Mohammadimanesh, F., 2021. Water Quality Monitoring Over Finger Lakes Region Using Sentinel-2 Imagery On Google Earth Engine Cloud Computing Platform. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-3-2021, 279-283

36*. Adeli, S., Salehi, B.., Mahdianpari, M., Quackenbush, L., & Chapman, B., 2021. Wetland Classification Using Simulated NISAR Data: A Case Study in Louisiana. In Proceedings of IEEE-IGARSS 2021 Conference

35*. Adeli, S., Salehi, B.., Mahdianpari, M., & Quackenbush, L. J. 2021. Multi-Source Remote Sensing Wetland Mapping of Minnesota. In Proceedings of ASPRS 2021 Annual Conference

34*. Adeli, S., Salehi, B.., Mahidanpari, M., & Quackenbush, L. J. 2021. Toward A Multi-Source Remote Sensing Wetland Inventory Of The USA: Preliminary Results On Wetland Inventory Of Minnesota. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-3-2021, 97-100

33*. Tamiminia, H., Salehi, B.., Mahdianpari, M. Beier C., Phoenix D., Johnson, L., 2021. A Comparison of Random Forest and Light Gradient Boosting Machine for Forest above Ground Biomass Estimation Using a Combination of Landsat and Airborne LiDAR Data. In Proceedings of ASPRS 2021 Annual Conference

32*. M. Mahdianpari, Salehi, B.., Mohammadimanesh, F., Rezayee, M. 2018. Wetland classification using deep convolutional neural network. In 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IEEE.

31*. M. Mahdianpari, Salehi, B.., Mohammadimanesh, F., 2017. A novel hierarchical framework for wetland classification based on a multi frequency and multi polarization SAR data. In Proceedings of IEEE NECEC 2017 26th Annual IEEE NL Conference.

30*. F. Mohammadimanesh, Salehi, B.., Mahdianpari, M., 2017. Moving to RCM: mapping Canadian wetland. In Proceedings of IEEE NECEC 2017 26th Annual IEEE NL Conference.

29*. S. Mahdavi, Salehi, B.., Amani, M., J. Granger, Brisco, B., Huang, W., 2017. A Novel Method for Classification of Complicated Land Covers Using Remote Sensing Techniques. In Proceedings of IEEE NECEC 2017 26th Annual IEEE NL Conference.

28*. M. Amani, Salehi, B.., Mahdavi, S., J. Granger, 2017. An Operational Wetland Classification Model in NL Using Advanced Remote Sensing Methods. In Proceedings of IEEE NECEC 2017 26th Annual IEEE NL Conference.

27*. M. Amani, Salehi, B.., Mahdavi, S., J. Granger, and B. Brisco, 2017. Evaluation of multi-temporal Landsat 8 data for wetland classification in Newfoundland, Canada. In Proceedings of IEEE IGARSS 2017.

26*. Mohammadimanesh F., Salehi, B.., M. Mahdianpari, and M. Motagh, 2017. X-band interferometric SAR observations for wetland water level monitoring in Newfoundland and Labrador. In Proceedings of IEEE IGARSS 2017.

25*. Mahdavi, S., Salehi, B.., M. Amani, J. Granger, B. Brisco, W. Huang, 2017. A dynamic hierarchical feature selection method for object-based classification of wetland. In Proceedings of IEEE IGARSS 2017.

24*. Mahdianpari, M., Salehi, B.., and F. Mohammadimanesh, 2017. A new algorithm of speckle reduction for PolSAR images based on a combined Gaussian Random Field model and Wavelet edge detection approach. Proceedings of IEEE IGARSS 2017.

23*. Mahdianpari, M., Salehi, B.., and F. Mohammadimanesh, 2017. A Novel Contextual Speckle Reduction Method of PolSAR Images: Evaluation of Speckle Reduction Effects on Sea Ice Segmentation. Proceedings of IGTF 2017 (ASPRS Annual Meeting 2017).

22*. Amani, M., Salehi, B.., S. Mahdavi, J. Granger, and B. Brisco, 2017. Spectral analysis of wetlands in Newfoundland using Sentinel 2A and Landsat 8 imagery. Proceedings of IGTF 2017 (ASPRS Annual Meeting 2017).

21*. Mohammadimanesh F., Salehi, B.., B. Brisco, and M. Mahdianpari, 2017. Monitoring of Wetland Water Levels in Newfoundland and Labrador Using Interferometric Synthetic Aperture Radar (InSAR) Technique. Proceedings of IGTF 2017 (ASPRS Annual Meeting 2017).

20*. Mahdavi, M., Salehi, B.., M. Amani, J. Granger, B. Brisco, and W. Huang, 2017. An Investigation into the Capability of Various Synthetic Aperture RADAR (SAR) Sensors for Wetland Classification in Newfoundland and Labrador. Proceedings of IGTF 2017 (ASPRS Annual Meeting 2017).

19*. Mahdianpari, M., Salehi, B.., 2016. Investigating Soil indexes for Terrestrial Oil Spill Detection Using Apparent Electrical Conductivity Data and UAV Images. IEEE NECEC 2016

18*. Mohammadimanesh, F., Salehi, B., Brisco, B. and Mahdianpari, M., 2016. Water level monitoring of wetland areas in Newfoundland and Labrador: Results from C-Band Interferometric Synthetic Aperture Radar (InSAR) analysis. IEEE NECEC 2016

17*. Mohammadimanesh, F., Salehi, B., M. Mahdianpari, S. Homayouni, 2016. Unsupervised Wishart classification of wetlands in newfoundland, Canada using POLSAR data based on fisher linear discriminant analysis. ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp.305-310.

16*. Mahdavi, M., Salehi, B., Melony, C., Brisco, B., Huang, W., 2015. A New Method for Speckle Reduction in Synthetic Aperture RADAR (SAR) Images Using Optimal Window Size. International Society for Digital Earth (ISDE), 2015, Halifax, NS, Scotia, Canada.

15. Salehi, B., W. Jefferies, P. Adlakha, Z. Chen, and P. Bobby, 2014. A pixel- and object-based image analysis framework for automatic well site extraction at provincial and territorial scales using Landsat data.In Proc. of International Geoscience and Remote Sensing Symposium (IGARSS 2014), Quebec City, Canada, July 13-18, 2014.

14*. Z. Chen W. Jefferies, P. Adlakha, Salehi, B., and D. Power, 2014. Automatic linear disturbance footprint mapping in Alberta, Canada based on dense time-series Landsat imagery.In Proc. of International Geoscience and Remote Sensing Symposium (IGARSS 2014), Quebec City, Canada, July 13-18, 2014.

13*. Z. Chen W. Jefferies, P. Adlakha, Salehi, B., and D. Power, 2014. Automatic Linear Disturbance Footprint Extraction Based on Dense Time-Series Landsat Imagery.In Proc. of International Pipeline Conference and Exhibition (IPC2014), September 29-October 3, 2014, Calgary, Alberta, Canada.

12*. K. Kiani, B. Mojaradi, A. Esmaeily, and Salehi, B., 2014. Urban area object-based classification by fusion of hyperspectral and LiDAR data.In Proc. of International Geoscience and Remote Sensing Symposium (IGARSS 2014), Quebec City, Canada, July 13-18, 2014.

11. Salehi, B., Y. Zhang, M. Zhong, 2012. Object-based moving vehicle extraction from WorldView2 imagery.In Proc. of ASPRS 2012 Annual Conference, Sacramento, California.

10. Salehi, B., Y. Zhang, M. Zhong, 2012. The effect of four new multispectral bands of WorldView2 on improving urban land cover classification.In Proc. of ASPRS 2012 Annual Conference, Sacramento, California.

9. Salehi, B. , Y. Zhang, R. Mishra, 2011. Automatic Moving Vehicle Extraction and Speed Determination from Single Pass WorldView-2 Multispectral Bands. In the Archive of The DigitalGlobe 8-band Research Challenge

8. Salehi, B., Y. Zhang, M. Zhong, 2011. Object based Land cover Classification of Urban Areas Using VHR Imagery and Photogrammetrically Derived DSM.In Proc. of ASPRS 2011 Annual Conference, Milwaukee, Wisconsin.

7. Salehi, B., Y. Zhang, M. Zhong, 2011. Combination of pixel based and object based image analysis for classification of VHR imagery over urban areas.In Proc. of ASPRS 2011 Annual Conference, Milwaukee, Wisconsin.

6. Salehi, B. , Y. Zhang ,M. Zhong, V. Dey, 2011. A hierarchical rule based urban land cover classification of WorldView-2 imagery.In Proc. of 32th Canadian Symposium on Remote Sensing, Sherbrook, Canada, 2011.

5. V. Dey, Y. Zhang, M. Zhong, Salehi, B., 2011. Building detection using multi-level segmentation with a fuzzy parameter based region merging criteria.In Proc. of 32th Canadian Symposium on Remote Sensing, Sherbrook, Canada, 2011.

4. A. Beykaei, M. Zhong,Y. Zhang, Salehi, B. , M. Ircha, Y. Gweon, S. Gao, 2010. Evaluating the accuracy of extracting urban land cover/use from remotely sensed imagery and its potential application in urban planning.In Proc of Annual Conference - Canadian Society for Civil Engineering 2, pp. 1539-1548.

3. M. Zhong, Y. Zhang, S.A. Beykaei, Salehi, B., M. Ircha, Y. Gweon, S. Gao, 2010. Extracting land cover/use from remotely sensed imagery: Potentials for urban planning.In Proc. of the Conference on Traffic and Transportation Studies. ICTTS 383, pp. 1-12.

2. Salehi, B., 2008. Change Detection of Karkheh Dam Basin Using Multitemporal Landsat Images.the Proc. of the Annual Geomatics Conference, National Cartographic Center of Iran (NCC), Tehran, Iran-April, 2008.

1. Salehi, B. , M. J. Valadan Zoej, 2004. Wavelet-Based Reduction of Hyperspectral Imagery.the Proc. of XXth congress of International Society for Photogrammetry and Remote Sensing (ISPRS 2004), Istanbul, Turkey- July 2004.

International Conference Presentations



* Denotes presentations made by my Graduate students

90. ISPRS 2022 Congress (XXIV International Society for Photogrammetry and Remote Sensing Congress) June 6-11, 2022, Nice, France. "Improving the UAV-derived DSM by Introducing a Modified RANSAC Algorithm."

89. ISPRS 2022 Congress (XXIV International Society for Photogrammetry and Remote Sensing Congress) June 6-11, 2022, Nice, France. "Evaluating Pixel-Based and Object-Based Approaches for Forest Above-Ground Biomass Estimation Using a Combination of Optical, SAR, and an Extreme Gradient Boosting Model."

88. ISPRS 2022 Congress (XXIV International Society for Photogrammetry and Remote Sensing Congress) June 6-11, 2022, Nice, France. "State-Wide Wetland Inventory Map of Minnesota Using Multi-Source and Multi-Temporal Remote Sensing Data."

87*. ISPRS 2022 Congress (XXIV International Society for Photogrammetry and Remote Sensing Congress) June 6-11, 2022, Nice, France. "The Importance of Seasonal Textural Features for Object-Based Classification of Wetlands: New York State Case Study." By Sarina Adeli

86*. IEEE-STRATUS 2022 (System and Technologies for Remote Sensing Application Through Unmanned Aerial Systems) May 23-25, Syracuse, New York. , "Ground control points geometry distribution assessment on combined horizontal and vertical accuracies of UAV photogrammetric products." By Sina Jarahizadeh

85. IEEE-STRATUS 2022 (System and Technologies for Remote Sensing Application Through Unmanned Aerial Systems) May 23-25, Syracuse, New York. , "A semi-supervised deep learning approach for detecting post-earthquake building damages using UAV data."

84. ASPRS-GeoWeek 2022 (Joint American Society for Photogrammetry and Remote Sensing and GeoWeek Conference) February 6-8, Denver, Colorado. , "Two Decades of New York State Forest Above-Ground Biomass Monitoring Using an Object-Based Random Forest Regressor."

83. ASPRS-GeoWeek 2022 (Joint American Society for Photogrammetry and Remote Sensing and GeoWeek Conference) February 6-8, Denver, Colorado. , "Large Scale Classification of Wetlands Using Multi-Source Remote Sensing: Application to the State of Minnesota."

82*. IEEE-IGARSS 2021 (IEEE International Geoscience and Remote Sensing Symposium) Virtual Conference, July 12-16, 2021. "Random Forest Outperformed Convolutional Neural Networks For Shrub Willow Above Ground Biomass Estimation Using Multi-Spectral UAS Imagery." By Haifa Tamiminia

81*. IEEE-IGARSS 2021 (IEEE International Geoscience and Remote Sensing Symposium) Virtual Conference, July 12-16, 2021. "Wetland Classification Using Simulated NISAR Data: A Case Study In Louisiana." By Sarina Adeli

80*. XXIVth ISPRS (International Society for Photogrammetry and Remote Sensing) Virtual Conference, July 5-9, 2021. "A Comparison of decision tree-based models for forest above-ground biomass estimation using a combination of airborne LiDAR and Landsat data." By Haifa Tamiminia

79*. XXIVth ISPRS (International Society for Photogrammetry and Remote Sensing) Virtual Conference, July 5-9, 2021. "Toward A Multi-Source Remote Sensing Wetland Inventory of The USA: Preliminary Results On Wetland Inventory Of Minnesota." By Sarina Adeli

78*. XXIVth ISPRS (International Society for Photogrammetry and Remote Sensing) Virtual Conference, July 5-9, 2021. "Water Quality Monitoring Over Finger Lakes Region Using Sentinel-2 Imagery On Google Earth Engine Cloud Computing Platform." By Rabia Munsaf Khan

77*. STRATUS 2021 (IEEE-Systems and Technologies for Remote Sensing Applications through Unmanned Aerial Systems), Virtual Conference, May 17-19, 2021. "Shrub willow Aboveground Biomass Estimation using 3D Data from Unmanned Aerial Vehicle (UAV) Imagery." By Haifa Tamiminia. Received the best student presentation award

76*. STRATUS 2021 (IEEE-Systems and Technologies for Remote Sensing Applications through Unmanned Aerial Systems), Virtual Conference, May 17-19, 2021. "Wetland Classification Using Unmanned Aerial Vehicle (UAV) Imagery: A Case Study in Onondaga County, New York." By Sarina Adeli. Received 2nd best student presentation award

75*. ASPRS-2021 (American Society for Photogrammetry and Remote Sensing) Virtual Conference, March 29- April 2, 2021. "A Comparison of Random Forest and Light Gradient Boosting Machine for Forest above Ground Biomass Estimation Using a Combination of Landsat and Airborne LiDAR Data." By Haifa Tamiminia

74*. ASPRS-2021 (American Society for Photogrammetry and Remote Sensing) Virtual Conference, March 29- April 2, 2021. "Multi-Source Remote Sensing Wetland Mapping of Minnesota." By Sarina Adeli

73 . ASPRS 2020 (American Society for Photogrammetry and Remote Sensing) Virtual Conference, June 22-24, 2020. "A Novel Matching Method for UAV Digital Surface Model Generation - Application in Forest Height Estimation."

72 . ASPRS 2020 (American Society for Photogrammetry and Remote Sensing) Virtual Conference, June 22-24, 2020. "A Wetland Inventory Map of Canada - Combination of Optical and SAR EO Data on GEE Cloud Computing."

71 . Webinar: ASWM (Association of State Wetland Managers- Protecting the Nation's Wetland), online webinar with about 200 attendees. November 13, 2019. "Wetland Inventory Map of Canada"

70 . AGU 2019 (American Geophysical Union Fall Meeting), San Francisco, California, USA, December 9-13, 2019. "Wetland Inventory of Canada using Satellite Earth Observation Data and Google Earth Engine Cloud".

69 . Google Booth at AGU 2019 (American Geophysical Union Fall Meeting), San Francisco, California, USA, December 10, 2019. "A Nation-Wide Wetland Inventory of CANADA Using Google Earth Engine".

68 . PECORA 21/ISRSE 38, 2019 (21 Pecora Memorial Remote Sensing Symposium and 38 Int. Symposium on Remote Sensing of Environment), Baltimore, Maryland, USA, October 6-11, 2019. "A Completed Wetland Inventory of Newfoundland and an Ongoing Wetland Inventory of Canada Using EO Data on Google Earth Engine".

67 . CSRS 2019 (40th Canadian Remote Sensing Symposium), Fredericton, New Brunswick, Canada, June 4 -6, 2019. "A Wetland Inventory for Newfoundland: Toward Wetland Inventory of CANADA".

66*. STRATUS 2019 (IEEE-GRSS Systems and Technologies for Remote Sensing Applications through Unmanned Aerial Systems), Rochester, NY, USA, February 25 -27, 2019. "Pipeline Oil Spill Mapping from UAV Imagery and Ancillary Electromagnetic Induction Survey Data, Alberta Canada". By Derek Peddle

65 . STRATUS 2019 (IEEE-GRSS Systems and Technologies for Remote Sensing Applications through Unmanned Aerial Systems), Rochester, NY, USA, February 25 -27, 2019. "UAV Image Processing for Iceberg 3D Modelling".

64 . STRATUS 2019 (IEEE-GRSS Systems and Technologies for Remote Sensing Applications through Unmanned Aerial Systems), Rochester, NY, USA, February 25 -27, 2019. "A New Point Cloud Refinement Method for Tree Height Estimation of UAV Imagery".

64*. IGARSS 2018 (IEEE International Geoscience and Remote Sensing Symposium), Valencia, Spain July 22 -27, 2018. "Wetland Classification Using Deep Convolutional Neural Network". By Masoud Mahdianpari

63*. IGARSS 2018 (IEEE International Geoscience and Remote Sensing Symposium), Valencia, Spain July 22 -27, 2018. "A New Hierarchical Object-Based Classification Algorithm for Wetland Mapping in Newfoundland, Canada". By Fariba Mohammadimanesh

62 . CSRS 2018 (39th Canadian Remote Sensing Symposium), Saskatoon, Saskatchewan, Canada, June 19 -21, 2018. "Terrain Stability Analysis Using InSAR, Object-Based Classification, and Geological Features: A Case Study from the Village of Mayo, Yukon Territory, Canada".

61*. CSRS 2018 (39th Canadian Remote Sensing Symposium), Saskatoon, Saskatchewan, Canada, June 19 -21, 2018. "Backscattering analysis of wetlands". By Meisam Amani

60*. CSRS 2018 (39th Canadian Remote Sensing Symposium), Saskatoon, Saskatchewan, Canada, June 19 -21, 2018. "A New Outlier Rejection Method for Point Cloud Generation of UAV Images". By Somayeh Yavari

59 . CSRS 2018 (39th Canadian Remote Sensing Symposium), Saskatoon, Saskatchewan, Canada, June 19 -21, 2018. "A collection of novel algorithms we have developed based on SAR and optical data for wetland classification".

58 . Oil Sands Innovation Summit 2018 (COSIA Conference 2017), Calgary, Alberta, Canada, June 7-8, 2018. "Advanced remote sensing methods for operational classification of wetlands".

57*. UnmannedCanada 2017 (Unmanned Systems Canada 2017 Conference), Toronto, Canada, November 1-3, 2017. "Iceberg Profiling Using Unmanned Aerial Vehicles Imagery". By Joseph Chamberland, Somayeh Yavari.

56*. GA2017 (Geomatics Atlantic 2017 Conference), St. John's, Newfoundland, Canada, November 23-24, 2017. "A new noise removal method for point cloud generation of UAV imagery of forest areas "By Somayeh Yavari.

55*. GA2017 (Geomatics Atlantic 2017 Conference), St. John's, Newfoundland, Canada, November 23-24, 2017. "An approach to develop new leaf area index (LAI) and soil moisture index using the red-NIR spectral space "By Meisam Amani.

54*. GA2017 (Geomatics Atlantic 2017 Conference), St. John's, Newfoundland, Canada, November 23-24, 2017. "Terrestrial oil spill detection using UAV imagery "By Masoud Mahdianpari.

53*. GA2017 (Geomatics Atlantic 2017 Conference), St. John's, Newfoundland, Canada, November 23-24, 2017. "Photogrammetric-based iceberg profiling using UAV imagery "By Somayeh Yavari.

52*. GA2017 (Geomatics Atlantic 2017 Conference), St. John's, Newfoundland, Canada, November 23-24, 2017. "Separability analysis of wetland classes using optical satellite data "By Meisam Amani.

51*. GA2017 (Geomatics Atlantic 2017 Conference), St. John's, Newfoundland, Canada, November 23-24, 2017. "Moving to RADARSAT constellation mission (RCM) for wetland classification "By Fariba Mohammadimanesh.

50*. GA2017 (Geomatics Atlantic 2017 Conference), St. John's, Newfoundland, Canada, November 23-24, 2017. "A multiple classifier system to improve wetland classification using SAR data "By Meisam Amani.

49*. GA2017 (Geomatics Atlantic 2017 Conference), St. John's, Newfoundland, Canada, November 23-24, 2017. "An operational method for wetland classification in Newfoundland and Labrador using publicly available satellite data "By Sahel Mahdavi.

48*. IEEE NECEC 2017 (IEEE Newfoundland and Labrador Section), St. John's, Canada, November 15, 2017. "Tree Height Estimation Using Unmanned Aerial Vehicles Imagery", By Somayeh Yavari.

47*. IEEE NECEC 2017 (IEEE Newfoundland and Labrador Section), St. John's, Canada, November 15, 2017. "Moving to the RCM: A Compact Polarimetric Feature Selection Analysis for Monitoring Of Canadian Wetlands", By Masoud Mahdianpari.

46*. IEEE NECEC 2017 (IEEE Newfoundland and Labrador Section), St. John's, Canada, November 15, 2017. "An Operational Wetland Classification Model in Newfoundland and Labrador using Advanced Remote Sensing Methods", By Meisam Amani.

45*. IEEE NECEC 2017 (IEEE Newfoundland and Labrador Section), St. John's, Canada, November 15, 2017. "A Novel Method for Classification of Complicated Land Covers Using Remote Sensing Techniques", By Sahel Mahdavi

44*. IEEE NECEC 2017 (IEEE Newfoundland and Labrador Section), St. John's, Canada, November 15, 2017. "A Novel Hierarchical Framework for Wetland Classification Based on a Multi-Frequency and Multi-Polarization SAR Data", By Fariba Mohammadimanesh.

43*. IEEE NECEC 2017 (IEEE Newfoundland and Labrador Section), St. John's, Canada, November 15, 2017. "Dryness Estimation Using Three Variables of the Land Surface Temperature, Perpendicular Vegetation Index, and Soil Moisture Content", By Meisam Amani.

42*. IGARSS 2017 (IEEE International Geoscience and Remote Sensing Symposium), Fort Worth, Texas, USA, July 23-28, 2017. "A dynamic hierarchical feature selection method for object-based classification of wetland "By Masoud Mahdianpari.

41*. IGARSS 2017 (IEEE International Geoscience and Remote Sensing Symposium), Fort Worth, Texas, USA, July 23-28, 2017. "Evaluation of multi-temporal Landsat 8 data for wetland classification in Newfoundland, Canada." By Fariba Mohammadimanesh.

40*. IGARSS 2017 (IEEE International Geoscience and Remote Sensing Symposium), Fort Worth, Texas, USA, July 23-28, 2017. "X-band interferometric SAR observations for wetland water level monitoring in Newfoundland and Labrador" By Fariba Mohammadimanesh.

39*. IGARSS 2017 (IEEE International Geoscience and Remote Sensing Symposium), Fort Worth, Texas, USA, July 23-28, 2017. "A new algorithm of speckle reduction for PolSAR images based on a combined Gaussian Random Field model and Wavelet edge detection approach ". By Masoud Mahdianpari.

38 . EO Summit 2017 (The Earth Observation Summit including 38th CSRS, 17th AQT, 11th ASAR, and 51st AGMQ), Montreal, Canada, June 20-23, 2017. "An Interferometric Coherence Analysis of Newfoundland Wetlands".

37 . EO Summit 2017 (The Earth Observation Summit including 38th CSRS, 17th AQT, 11th ASAR, and 51st AGMQ), Montreal, Canada, June 20-23, 2017. "Newfoundland and Labrador Wetland Classification and Water Level monitoring using Optical, PolSAR, and InSAR Earth Observation Data".

36 . EO Summit 2017 (The Earth Observation Summit including 38th CSRS, 17th AQT, 11th ASAR, and 51st AGMQ), Montreal, Canada, June 20-23, 2017. "A Comparison of SAR compact Polarimetry with dual and quad Polarimetry for Wetland Classification using an Object-based Random Forest Algorithm".

35 . EO Summit 2017 (The Earth Observation Summit including 38th CSRS, 17th AQT, 11th ASAR, and 51st AGMQ), Montreal, Canada, June 20-23, 2017. "A New Spectral Index for Terrestrial Oil Spill Detection based on UAV Imagery".

34 . ISRSE 2017 (The 37th International Symposium on Remote Sensing of Environment), Tshwane, South Africa, May 8-12, 2017. "A Novel Unsupervised Object-Based Sea Ice Classification of Polarimetric Synthetic Aperture Radar Data".

33 . ISRSE 2017 (The 37th International Symposium on Remote Sensing of Environment), Tshwane, South Africa, May 8-12, 2017. "An Interferometric Synthetic Aperture Radar (InSAR) Analysis for Water Level Monitoring: A Case Study in Newfoundland and Labrador".

32 . AGTF 2017 (Imaging & Geospatial Technology Forum, former ASPRS), Baltimore, Maryland, USA, March 12-16, 2017. "A Novel Contextual Speckle Reduction Method of PolSAR Images: Evaluation of Speckle Reduction Effects on Sea e Segmentation".

31 . AGTF 2017 (Imaging & Geospatial Technology Forum, former ASPRS), Baltimore, Maryland, USA, March 12-16, 2017. "Monitoring of Wetland Water Levels in Newfoundland and Labrador Using Interferometric Synthetic Aperture Radar (InSAR) Technique".

30 . AGTF 2017 (Imaging & Geospatial Technology Forum, former ASPRS), Baltimore, Maryland, USA, March 12-16, 2017. "An Investigation into the Capability of Various Synthetic Aperture RADAR (SAR) Sensors for Wetland Classification in Newfoundland and Labrador".

29 . AGTF 2017 (Imaging & Geospatial Technology Forum, former ASPRS), Baltimore, Maryland, USA, March 12-16, 2017. "Spectral analysis of wetlands in Newfoundland using Sentinel 2A and Landsat 8 imagery".

28 . SKI 2017 (Spatial Knowledge and Information-Canada), Banff, Alberta, Canada, February 23-24, 2017. "A Novel Oil Spill Detection Approach on Terrestrial Area: A Case Study in Alberta".

27 . SKI 2017 (Spatial Knowledge and Information-Canada), Banff, Alberta, Canada, February 23-24, 2017. "Object-based Wetland Classification in Newfoundland and Labrador using Random Forest Algorithm".

26*. IEEE NECEC 2016 (IEEE Newfoundland and Labrador Section), St. John's, Canada, November 10, 2016. "Investigating Soil indexes for Terrestrial Oil Spill Detection Using Apparent Electrical Conductivity Data and UAV Images", by Masoud Mahdianpari.

25*. IEEE NECEC 2016 (IEEE Newfoundland and Labrador Section), St. John's, Canada, November 10, 2016. "Water level monitoring of wetland areas in Newfoundland and Labrador: Results from C-Band Interferometric Synthetic Aperture Radar (InSAR) analysis", by Fariba Mohammadimanesh.

24*. Newleef 2016 (Newfoundland and Labrador's Green Economy Conference), St. John's, Canada, October 12-13, 2016. "A Novel Contextual Unsupervised Sea Ice Segmentation of Polarimetric Synthetic Aperture Radar Data", by Masoud Mahdianpari.

23*. Newleef 2016 (Newfoundland and Labrador's Green Economy Conference), St. John's, Canada, October 12-13, 2016."New technologies for wetland classification", by Meisam Amani

22*. Aldrich 2016, St. John's, Canada. "Newfoundland and Labrador's wetland classification using remote sensing satellite imagery", by Meisam Amani.

21 . ISPRS 2016 (XXIII ISPRS- International Society for Photogrammetry and Remote Sensing Congress), Prague, Czech, July 12-19, 2016. "Unsupervised Wishart classification of wetlands in newfoundland, Canada using POLSAR data based on fisher linear discriminant analysis"

20*. CSRS 2016 (37th Canadian Remote Sensing Symposium), Winnipeg, Manitoba, Canada, June 7-9, 20

19*. CSRS 2016 (37th Canadian Remote Sensing Symposium), Winnipeg, Manitoba, Canada, June 7-9, 2016. "Object-based multi-temporal SAR analysis for wetland classification in Newfoundland and Labrador", by Sahel Mahdavi

18*. CSRS 2016 (37th Canadian Remote Sensing Symposium), Winnipeg, Manitoba, Canada, June 7-9, 2016. "A wetland classification framework for Newfoundland and Labrador using multisource SAR and optical data fusion", by Meisam Amani

17*. CAG 2016 (Canadian Association of Geographers Conference), Halifax, Nova Scotia, Canada, May 30-June 04, 2016. "Developing a framework for Newfoundland and Labrador wetland inventory mapping using remote sensing technologies", by Jean Granger

16 . AGU 2015 (American Geophysical Union Fall Meeting), San Francisco, California, USA, December 14-18, 2015. "Object-Based Classification of Wetlands Using Optical and SAR Data with a Compound Kernel in Support Vector Machine"

15 . 36th CSRS (Canadian Symposium on Remote Sensing), St. John's, Canada (June 11-14, 2015). "A Preliminary study on the synergistic use of SAR and high-resolution optical data for wetland classification in Newfoundland and Labrador"

14 . 36th CSRS (Canadian Symposium on Remote Sensing), St. John's, Canada (June 11-14, 2015). "Object-based image analysis for operational forest mapping using aerial imagery and digital surface model data"

13 . Geomatics Atlantic 2014, St. John's, Canada (November 03, 2014). "Forest canopy height mapping using aerial imagery and digital surface model (DSM) data"

12 . 1st APVE (Arctic Product Validation and Evolution), Ottawa, Canada (November 13, 2014). "Object-based image analysis for disturbance and habitat land cover mapping"

11 . IGARSS 2014, Quebec City, Canada (June 18, 2014). "Urban area object-based classification by fusion of hyperspectral and LiDAR data"

10 . RPM Technical Transfer Presentation Series (Geological Survey of Canada) Ottawa, Canada (March 15, 2013). "Accurate crop type classification using the combination of object- and pixel-based image analyses of multi-temporal high resolution imagery"

9 . GSDI 13 Symposium (Global Spatial Data Infrastructure), Quebec City, Canada (May 15, 2012). "Object-based classification of traffic and built-up areas using a stereo pair of GeoEye-1 imagery"

8 . ASPRS 2012 (American Society for Photo. and Remote Sensing), Sacramento, USA (March 23, 2012). "The effect of four new multispectral bands of WorldView2 on improving urban land cover classification"

7 . ASPRS 2012 (American Society for Photo. and Remote Sensing), Sacramento, USA (March 21, 2012). "Object-based moving vehicle extraction from WorldView2 imagery"

6 . 32th CSRS (Canadian Symposium on Remote Sensing) Sherbrook, Canada (June 15, 2011)."A hierarchical rule based urban land cover classification of WorldView-2 imagery"

5 . ASPRS 2011 (American Society for Photog. and Remote Sensing), Milwaukee, USA (May 02, 2011). "Combination of pixel based and object based image analysis for classification of VHR imagery over urban areas"

4 . ASPRS 2011 (American Society for Photo. and Remote Sensing), Milwaukee, USA (May 04, 2011). "Object based Land cover Classification of Urban Areas Using VHR Imagery and Photogrammetrically Derived DSM"

3 . Geomatics 87 (Iranian Annual Geomatics Conference), Tehran, Iran (April 10, 2008). "Change Detection of Karkheh Dam Basin Using Multi-temporal Landsat Images"

2 . XXth ISPRS Congress (Int. Society for Photogrammetry and Remote Sensing), Istanbul, Turkey (July 2004). "Wavelet-Based Reduction of Hyperspectral Imagery"

1 . MapIndia 2004, New Delhi, India (January 2004). "Wavelet spectral analysis for automatic reduction of hyperspectral images data"