Mir Mustafizur Rahman, PhD
Mir Mustafizur Rahman, PhD
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Cited by
Cited by
Geospatial technologies to improve urban energy efficiency
GJ Hay, C Kyle, B Hemachandran, G Chen, MM Rahman, TS Fung, ...
Remote Sensing 3 (7), 1380-1405, 2011
UAV remote sensing can reveal the effects of low‐impact seismic lines on surface morphology, hydrology, and methane (CH4) release in a boreal treed bog
J Lovitt, MM Rahman, S Saraswati, GJ McDermid, M Strack, B Xu
Journal of Geophysical Research: Biogeosciences 123 (3), 1117-1129, 2018
A new method to map groundwater table in peatlands using unmanned aerial vehicles
MM Rahman, GJ McDermid, M Strack, J Lovitt
Remote Sensing 9 (10), 1057, 2017
Assessing the value of UAV photogrammetry for characterizing terrain in complex peatlands
J Lovitt, MM Rahman, GJ McDermid
Remote Sensing 9 (7), 715, 2017
Petroleum exploration increases methane emissions from northern peatlands
M Strack, S Hayne, J Lovitt, GJ McDermid, MM Rahman, S Saraswati, ...
Nature communications 10 (1), 1-8, 2019
A comparison of four relative radiometric normalization (RRN) techniques for mosaicing H-res multi-temporal thermal infrared (TIR) flight-lines of a complex urban scene
MM Rahman, GJ Hay, I Couloigner, B Hemachandran, J Bailin
ISPRS Journal of Photogrammetry and Remote Sensing 106, 82-94, 2015
Developing allometric equations for estimating shrub biomass in a boreal fen
A He, GJ McDermid, MM Rahman, M Strack, S Saraswati, B Xu
Forests 9 (9), 569, 2018
Mapping coarse woody debris with random forest classification of centimetric aerial imagery
G Lopes Queiroz, GJ McDermid, G Castilla, J Linke, MM Rahman
Forests 10 (6), 471, 2019
An assessment of polynomial regression techniques for the relative radiometric normalization (RRN) of high-resolution multi-temporal airborne thermal infrared (TIR) imagery
M Mustafizur Rahman, GJ Hay, I Couloigner, B Hemachandran, J Bailin
Remote Sensing 6 (12), 11810-11828, 2014
Hydrological effects of resource-access road crossings on boreal forested peatlands
S Saraswati, RM Petrone, MM Rahman, GJ McDermid, B Xu, M Strack
Journal of Hydrology 584, 124748, 2020
Comparison of LiDAR and digital aerial photogrammetry for characterizing canopy openings in the Boreal Forest of Northern Alberta
A Dietmaier, GJ McDermid, MM Rahman, J Linke, R Ludwig
Remote Sensing 11 (16), 1919, 2019
Optical and SAR imagery for mapping vegetation gradients in Brazilian savannas: synergy between pixel-based and object-based approaches
L Carvalho, M Rahman, G Hay, J Yackel
Int. Conf. on Geographic Object-based Image Analysis 38 (4), C7, 2010
A workflow to minimize shadows in UAV-based orthomosaics
MM Rahman, GJ McDermid, T Mckeeman, J Lovitt
Journal of Unmanned Vehicle Systems 7 (2), 107-117, 2019
Geographic object-based mosaicing (OBM) of high-resolution thermal airborne imagery (TABI-1800) to improve the interpretation of urban image objects
MM Rahman, GJ Hay, I Couloigner, B Hemachandran, J Bailin, Y Zhang, ...
IEEE Geoscience and Remote Sensing Letters 10 (4), 918-922, 2013
Transforming image-objects into multiscale fields: A GEOBIA approach to mitigate urban microclimatic variability within h-res thermal infrared airborne flight-lines
MM Rahman, GJ Hay, I Couloigner, B Hemachandran
Remote Sensing 6 (10), 9435-9457, 2014
GEOBIA—Evolving beyond segmentation
GJ Hay, B Hemachandran, M Rahman, B Karim, I Couloigner, ...
Proceedings of the 5th International GEOBIA Conference, Thessaloniki, Greece 24, 2014
Use of an unmanned aerial vehicle and sound localization to determine bird microhabitat
SJ Wilson, RW Hedley, MM Rahman, EM Bayne
Journal of Unmanned Vehicle Systems 9 (1), 59-66, 2020
Mapping peat groundwater table dynamics using unmanned aerial vehicle and photogrammetric techniques
MM Rahman, J Lovitt, GJ McDermid, M Strack, B Xu
Remote Sensing 9 (12), 1057, 2017
Geospatial Object Based Mosaicing Of High-Resolution Thermal Airborne Imagery (Tabi 1800) To Improve Roof Shape And Thermal Statistics
MM Rahmana, GJ Haya, B Hemachandrana, S Mahb, A Tamb
Conference proceedings of GEOBIA, 7-9, 2012
The Forest Line Mapper: A Semi-Automated Tool for Mapping Linear Disturbances in Forests
GL Queiroz, GJ McDermid, MM Rahman, J Linke
Remote Sensing 12 (24), 4176, 2020
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