Comparison of Machine and Deep Learning Methods to Estimate Shrub Willow Biomass from UAS Imagery
Tamiminia, Haifa, Salehi, Bahram, Mahdianpari, Masoud, Beier, Colin M., Klimkowski, Daniel J., Volk, Timothy A.
Published in Canadian journal of remote sensing (04.03.2021)
Published in Canadian journal of remote sensing (04.03.2021)
Get full text
Journal Article
A particle swarm optimized kernel-based clustering method for crop mapping from multi-temporal polarimetric L-band SAR observations
Tamiminia, Haifa, Homayouni, Saeid, McNairn, Heather, Safari, Abdoreza
Published in International journal of applied earth observation and geoinformation (01.06.2017)
Published in International journal of applied earth observation and geoinformation (01.06.2017)
Get full text
Journal Article
Decision tree-based machine learning models for above-ground biomass estimation using multi-source remote sensing data and object-based image analysis
Tamiminia, Haifa, Salehi, Bahram, Mahdianpari, Masoud, Beier, Colin M., Johnson, Lucas, Phoenix, Daniel B., Mahoney, Michael
Published in Geocarto international (13.12.2022)
Published in Geocarto international (13.12.2022)
Get full text
Journal Article
A COMPARATIVE ANALYSIS OF PIXEL-BASED AND OBJECT-BASED APPROACHES FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING RANDOM FOREST MODEL
Tamiminia, H., Salehi, B., Mahdianpari, M., Beier, C. M., Johnson, L.
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (25.07.2022)
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (25.07.2022)
Get full text
Journal Article
Conference Proceeding
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
Tamiminia, H., Salehi, B., Mahdianpari, M., Beier, C. M., Johnson, L.
Published in ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (17.05.2022)
Published in ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (17.05.2022)
Get full text
Journal Article
A COMPARISON OF RANDOM FOREST AND LIGHT GRADIENT BOOSTING MACHINE FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF LANDSAT, ALOS PALSAR, AND AIRBORNE LIDAR DATA
Tamiminia, H., Salehi, B., Mahdianpari, M., Beier, C. M., Johnson, L., Phoenix, D. B.
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (2021)
Published in International archives of the photogrammetry, remote sensing and spatial information sciences. (2021)
Get full text
Journal Article
Conference Proceeding
A COMPARISON OF DECISION TREE-BASED MODELS FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF AIRBORNE LIDAR AND LANDSAT DATA
Tamiminia, H., Salehi, B., Mahdianpari, M., Beier, C. M., Johnson, L., Phoenix, D. B.
Published in ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (17.06.2021)
Published in ISPRS annals of the photogrammetry, remote sensing and spatial information sciences (17.06.2021)
Get full text
Journal Article
Random Forest Outperformed Convolutional Neural Networks for Shrub Willow Above Ground Biomass Estimation Using Multi-Spectral UAS Imagery
Tamiminia, Haifa, Salehi, Bahram, Mahdianpari, Masoud, Beier, Colin M., Klimkowski, Daniel J., Volk, Timothy A.
Published in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (11.07.2021)
Published in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (11.07.2021)
Get full text
Conference Proceeding