Qing Xu
Qing Xu
International Center for Bamboo and Rattan
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Calibration of area based diameter distribution with individual tree based diameter estimates using airborne laser scanning
Q Xu, Z Hou, M Maltamo, T Tokola
ISPRS journal of photogrammetry and remote sensing 93, 65-75, 2014
Quantification of uncertainty in aboveground biomass estimates derived from small-footprint airborne LiDAR
Q Xu, A Man, M Fredrickson, Z Hou, J Pitkänen, B Wing, C Ramirez, B Li, ...
Remote sensing of environment 216, 514-528, 2018
Use of ALS, Airborne CIR and ALOS AVNIR-2 data for estimating tropical forest attributes in Lao PDR
Z Hou, Q Xu, T Tokola
ISPRS Journal of Photogrammetry and Remote Sensing 66 (6), 776-786, 2011
Spatial analysis of the ecological effects of negative air ions in urban vegetated areas: A case study in Maiji, China
X Yan, H Wang, Z Hou, S Wang, D Zhang, Q Xu, T Tokola
Urban Forestry & Urban Greening 14 (3), 636-645, 2015
Relative radiometric correction of multi-temporal ALOS AVNIR-2 data for the estimation of forest attributes
Q Xu, Z Hou, T Tokola
ISPRS journal of photogrammetry and remote sensing 68, 69-78, 2012
Extraction of remote sensing-based forest management units in tropical forests
Z Hou, Q Xu, T Nuutinen, T Tokola
Remote sensing of environment 130, 1-10, 2013
Effects of temporally external auxiliary data on model-based inference
Z Hou, Q Xu, RE McRoberts, JA Greenberg, J Liu, J Heiskanen, ...
Remote Sensing of Environment 198, 150-159, 2017
Impact of plot size and spatial pattern of forest attributes on sampling efficacy
Z Hou, Q Xu, S Hartikainen, P Antilla, T Packalen, M Maltamo, T Tokola
Forest Science 61 (5), 847-860, 2015
Remote sensing-assisted data assimilation and simultaneous inference for forest inventory
Z Hou, L Mehtätalo, RE McRoberts, G Ståhl, T Tokola, P Rana, J Siipilehto, ...
Remote sensing of environment 234, 111431, 2019
Training area concept in a two-phase biomass inventory using airborne laser scanning and RapidEye satellite data
P Rana, T Tokola, L Korhonen, Q Xu, T Kumpula, P Vihervaara, ...
Remote Sensing 6 (1), 285-309, 2013
How much can natural resource inventory benefit from finer resolution auxiliary data?
Z Hou, RE McRoberts, G Ståhl, P Packalen, JA Greenberg, Q Xu
Remote sensing of environment 209, 31-40, 2018
Updating annual state-and county-level forest inventory estimates with data assimilation and FIA data
Z Hou, GM Domke, MB Russell, JW Coulston, MD Nelson, Q Xu, ...
Forest Ecology and Management 483, 118777, 2021
Species-specific combination and calibration between area-based and tree-based diameter distributions using airborne laser scanning
Z Hou, Q Xu, J Vauhkonen, M Maltamo, T Tokola
Canadian Journal of Forest Research 46 (6), 753-765, 2016
Predicting tree diameter using allometry described by non-parametric locally-estimated copulas from tree dimensions derived from airborne laser scanning
Z Xu, Q., Li, B., Maltamo, M., Tokola, T. & Hou
Forest Ecology and Management 434, 205-212, 2019
Harnessing data assimilation and spatial autocorrelation for forest inventory
Q Xu, B Li, RE McRoberts, Z Li, Z Hou
Remote Sensing of Environment 288, 113488, 2023
Generalizing systematic adaptive cluster sampling for forest ecosystem inventory
Q Xu, G Ståhl, RE McRoberts, B Li, T Tokola, Z Hou
Forest Ecology and Management 489, 119051, 2021
Retrieving suppressed trees from model-based height distribution by combining high-and low-density airborne laser scanning data
Q Xu, Z Hou, M Maltamo, T Tokola
Canadian Journal of Remote Sensing 40 (3), 233-242, 2014
Observations and Geoinformation
Y Chen, Z Hou, S Saarela, RE McRoberts, G Ståhl, A Kangas, P Packalen, ...
International Journal of Applied Earth Observation and Geoinformation 110 …, 2022
Cross-classes domain inference with network sampling for natural resource inventory
Z Hou, RE McRoberts, C Zhang, G Ståhl, X Zhao, X Wang, B Li, Q Xu
Forest Ecosystems 9, 100029, 2022
Leveraging remotely sensed non-wall-to-wall data for wall-to-wall upscaling in forest inventory
F Chen, Z Hou, S Saarela, RE McRoberts, G Ståhl, A Kangas, P Packalen, ...
International Journal of Applied Earth Observation and Geoinformation 119 …, 2023
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