[1] 国家自然科学基金青年项目：基于小光斑激光雷达单木识别的竹林生物量误差传播研究（项目编号：32001252），主持。

[2] 国家社会科学基金一般项目：森林生态系统碳汇监测核算体系构建与评价研究（项目编号：22BTJ005），参与。

代表性文章：

[1] Xu, Q., Li, B., McRoberts, R.E., Li, Z., Hou, Z. (2023). Harnessing data assimilation and spatial autocorrelation for forest inventory. Remote Sensing of Environment, 288, 113488.

运用数据同化和空间自相关强化森林资源清查，环境遥感

影响因子：13.85，中科院期刊分区：环境科学与生态学1区TOP

 

[2] Xu, Q., Ståhl, G., McRoberts, R.E., Li, B., Tokola, T., Hou, Z. (2021) Generalizing systematic adaptive cluster sampling for forest ecosystem inventory. Forest Ecology and Management, 489:119051.

广义系统适应性群团抽样，森林生态与管理

影响因子：3.17，中科院期刊分区：农林科学1区TOP

 

[3] Xu, Q., Li, B., Maltamo, M., Tokola, T. & Hou, Z. (2019). Predicting tree diameter using allometry described by non-parametric locally-estimated copulas from tree dimensions derived from airborne laser scanning. Forest Ecology and Management, 434, 205-212.

运用非参局域copula描述异速生长关系预测林木胸径，森林生态与管理

影响因子：3.17，中科院期刊分区：农林科学1区TOP

 

[4] Xu, Q., Man, A., Fredrickson, M., Hou, Z., Pitkänen, J., Wing, B., Ramirez, C., Li, B., & Greenberg, J.A. (2018) Quantification of uncertainty in aboveground biomass estimates derived from small-footprint airborne LiDAR. Remote Sensing of Environment, 216, 514-528.

量化小光斑机载LiDAR反演地上生物量的不确定性，环境遥感

影响因子：8.218，中科院期刊分区：环境科学与生态学1区TOP

 

[5] Xu, Q., Hou, Z., Maltamo, M., & Tokola, T. (2014). Retrieving suppressed trees from model-based height distribution by combining high and low density airborne laser scanning data. Canadian Journal of Remote Sensing, 40, 233-242.

结合高密度和低密度机载LiDAR数据恢复底层植被信息，加拿大遥感

影响因子：2.126，中科院期刊分区：工程技术3区

 

[6] Xu, Q., Hou, Z., Maltamo, M., & Tokola, T. (2014). Calibration of area based diameter distribution with individual tree based diameter estimates using airborne laser scanning. ISPRS Journal of Photogrammetry and Remote Sensing, 93, 65-75.

机载LiDAR数据结合面积法和单株识别法校正森林胸径分布，摄影测量与遥感

影响因子：7.319，中科院期刊分区：工程技术1区，遥感1区TOP

 

[7] Xu, Q., Hou, Z., & Tokola, T. (2012). Relative Radiometric Correction of Multi-temporal ALOS AVNIR-2 Data for the Estimation of Forest Attributes. ISPRS Journal of Photogrammetry and Remote Sensing, 68, 69-78.

ALOS AVNIR-2多光谱数据相对辐射矫正对森林属性估计的影响，摄影测量与遥感

影响因子：7.319，中科院期刊分区：工程技术1区，遥感1区TOP

 

[8] Hou, Z., Yuan, K., Ståhl, G., McRoberts, R.E., Kangas, A., Tang, H., Jiang, J., Meng, J., Xu, Q.*, Li, Z. (2023). Conjugating remotely sensed data assimilation and model-assisted estimation for efficient multivariate forest inventory. Remote Sensing of Environment, 299, 113854.

耦合数据同化和模型辅助的估计用于多元森林资源调查，环境遥感

影响因子：13.85，中科院期刊分区：环境科学与生态学1区TOP (*共同通讯作者)

 

[9] Chen, F., Hou, Z.*, Saarela, S., McRoberts, R.E., Stahl, G., Kangas, A., Packalen, P., Xu, Q.* (2023). Leveraging remotely sensed non-wall-to-wall data for wall-to-wall upscaling in forest inventory. International Journal of Applied Earth Observations and Geoinformation, 119, 103314.

利用非全覆盖遥感数据调查全域森林资源，应用地球观测和地理信息科学

影响因子：7.5，中科院期刊分区：地球科学1区TOP (*共同通讯作者)

 

[10] Hou, Z., Mehtätalo, L., McRoberts, R.E., Ståhl, G., Tokola, T., Rana, P., Siipilehto, J., Xu, Q.* (2019). Remote sensing-assisted data assimilation and simultaneous inference for forest inventory. Remote Sensing of Environment, 234, 111431.

遥感辅助数据同化和同步推断用于森林资源调查，环境遥感

影响因子：9.085，中科院期刊分区：环境科学与生态学1区TOP (*共同通讯作者)

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