
|
10 Aug 2021
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
H. Tamiminia, B. Salehi, M. Mahdianpari, C. M. Beier, L. Johnson, and D. B. Phoenix
Related authors
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
H. Tamiminia, B. Salehi, M. Mahdianpari, C. M. Beier, and L. Johnson
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 485–492, https://doi.org/10.5194/isprs-annals-V-3-2022-485-2022,https://doi.org/10.5194/isprs-annals-V-3-2022-485-2022, 2022
Automatic detection of agricultural plastic greenhouses using deep learning and aerial RGB images
Davoud Omarzadeh, Mehran Alizadeh Pirbasti, Hamed Bahrevar, Hoda Khalaghi, Gavin McArdle, and Bahram Salehi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., XI-4-2026, 53–61, https://doi.org/10.5194/isprs-annals-XI-4-2026-53-2026,https://doi.org/10.5194/isprs-annals-XI-4-2026-53-2026, 2026
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
H. Tamiminia, B. Salehi, M. Mahdianpari, C. M. Beier, and L. Johnson
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2022, 485–492, https://doi.org/10.5194/isprs-annals-V-3-2022-485-2022,https://doi.org/10.5194/isprs-annals-V-3-2022-485-2022, 2022