The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
Articles | Volume XLIV-M-3-2021
https://doi.org/10.5194/isprs-archives-XLIV-M-3-2021-163-2021
https://doi.org/10.5194/isprs-archives-XLIV-M-3-2021-163-2021
10 Aug 2021
 | 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

A COMPARATIVE ANALYSIS OF PIXEL-BASED AND OBJECT-BASED APPROACHES FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING RANDOM FOREST MODEL
H. Tamiminia, B. Salehi, M. Mahdianpari, C. M. Beier, and L. Johnson
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-2-2022, 191–196, https://doi.org/10.5194/isprs-archives-XLVI-M-2-2022-191-2022,https://doi.org/10.5194/isprs-archives-XLVI-M-2-2022-191-2022, 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
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
A COMPARISON OF DECISION TREE-BASED MODELS FOR FOREST ABOVE-GROUND BIOMASS ESTIMATION USING A COMBINATION OF AIRBORNE LIDAR AND LANDSAT DATA
H. Tamiminia, B. Salehi, M. Mahdianpari, C. M. Beier, L. Johnson, and D. B. Phoenix
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 235–241, https://doi.org/10.5194/isprs-annals-V-3-2021-235-2021,https://doi.org/10.5194/isprs-annals-V-3-2021-235-2021, 2021