Zhengyang Hou. University of Nevada, Reno Natural Resources & Environmental Science Reno, NV 89667, United States (+1)

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1 Zhengyang Hou University of Nevada, Reno Natural Resources & Environmental Science Reno, NV 89667, United States (+1) RESEARCH INTERESTS My general interests lie in the fields of sampling, statistical inference, spatial statistics, time series analysis, programming, GIS and remote sensing with LiDAR and optical scanners. In terms of applications, my research centers on addressing questions of the natural resource inventory, spatial-temporal modeling of important forest and ecological attributes, the succession and dynamics of interrelated patterns and processes in forest ecosystems, and the effects of climate change and land use/land cover change on forests using remote sensing. A recurrent theme in my research is the use of modeling and model-based inference to integrate information from disparate sources to improve prediction, estimation and consequential analyses that take associated uncertainties into account. EDUCATION AND APPOINTMENTS CURRENT: Postdoctoral Researcher, Department of Natural Resources and Environmental Science, University of Nevada, Reno, United States. Terrestrial Laser Scanning Facilitated Change Detection on North Sierra Natural and Forest Resources. Advisor: Jonathan A. Greenberg PAST: Postdoctoral Researcher, University of Eastern Finland. Specialization group in forest mensuration and planning, School of Forest Sciences. (1) Seedling Stand Inventory (SSI) project. Advisor: Timo Tokola (2) Biocarbon and Rural Development (BIODEV) project. Advisor: Petteri Packalen (3) Data to Intelligence (D2I) program. Advisor: Timo Tokola Visiting Scholar, Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Urbana, IL, United States. Carbon Monitoring System project. Advisor: Jonathan A. Greenberg Researcher, European Forest Institute. Foresight and Policy Support Program Advisor: Lauri Hetemäki Intern, Silve (Dutch company providing consultancy in forest sector, located in Wageningen, the Netherlands). Advisor: Henny Schoonderwoerd, Frits Mohren May

2 EDUCATION Ph.D. (D.Sc.) University of Eastern Finland, Agriculture and Forestry. Dissertation: Mapping of growing stock and stand delineation for tropical forests using remote sensing Advisors: Timo Tokola, Matti Maltamo, Tuula Packalen M.Sc. University of Eastern Finland, European Forestry. Dissertation: Use of ALS, Airborne CIR and ALOS AVNIR-2 data in estimation of tropical forest attributes in Lao PDR Advisor: Timo Tokola M.Sc. Swedish University of Agricultural Sciences, Forest Management. Advisor: Göran Ståhl M.Sc. Beijing Forestry University, Forest Management. Dissertation: Study based on TM images on constructive status quo of coastal shelter system along sandy seacoast in Shandong Advisor: Zhongke Feng B.A. Hunan University, English Language and Literature. GRANTS AND FELLOWSHIPS Finnish Cultural Foundation ($12 210) 2013 Finnish Society of Forest Science ($2 000) 2011 Finnish Graduate School in Forest Sciences ($1 700) Foundation for European Forest Research ($88 800) Erasmus Mundus Scholarship ($53 280) PEER-REVIEWED PUBLICATIONS 13. Singh, M., Tokola, T., Hou, Z., & Notarnicola, C. (2017). Remote sensing based landscape indicators for the evaluation of threatened-bird habitats in tropical forest. Ecology and Evolution, in press. DOI: /ece Hou, Z., Xu, Q., Vauhkonen, J., Maltamo, M., & Tokola, T. (2016) Species-specific combination and calibration between area-based and tree-based diameter distributions using airborne laser scanning. Canadian Journal of Forest Research, 46, Hou, Z., Xu,Q., Zhang, C., Maltamo, M., & Tokola, T. (2016). Simple approach to improving the extraction of canopy metrics from airborne laser scanning data for tropical forests. SPIE Journal of Applied Remote Sensing, 10, (01601) Yan, X., Wang, H., Hou, Z., Wang, S., Zhang, D., Xu, Q. & Tokola, T. (2015). Spatial analysis of the ecological effects of negative ions in urban vegetated areas: a case study in Maiji, China. Urban Forestry & Urban Greening, 14, May

3 9. Hou, Z., Xu, Q., Hartikainen, S., Antilla, P., Packalen, T., Maltamo, M. & Tokola, T. (2015). Impact of plot size and spatial pattern of forest attributes on sampling efficacy. Forest Science, 61, Hou, Z. (2015). Mapping of growing stock and stand delineation for tropical forests using remote sensing. Doctoral dissertation. Dissertationes Forestales, 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, 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, Hou, Z., Xu, Q., Nuutinen, T., & Tokola, T. (2013). Extraction of remote sensing based forest management units in tropical forest. Remote Sensing of Environment, 130, Tokola, T., & Hou, Z. (2012). Alternative remote sensing materials and inventory strategies in tropical forest inventory - Case Lao PDR. Ambiência, 8, Xu, Q., Hou, Z., & Tokola, T. (2012). Relative Radiometric Correction of Multitemporal ALOS AVNIR-2 Data for the Estimation of Forest Attributes. ISPRS Journal of Photogrammetry and Remote Sensing, 68, Hou, Z., Xu, Q., & Tokola, T. (2011). Use of ALS, Airborne CIR and ALOS AVNIR-2 data for estimating tropical forest attributes in Lao PDR. ISPRS Journal of Photogrammetry and Remote Sensing, 66, Hou, Z., Xu, Q., & Feng, Z. (2008). New framework of forest management in the new age. Journal of Beijing Forestry University, 30, MANUSCRIPTS IN REVIEW OR IN PREPARATION 7. Hou, Z., McRoberts, R. E., Ståhl, G., Packalen, P., Greenberg, J., & Xu, Q. (2017). How much can natural resource inventory benefit from a finer spatial resolution? Under review. 6. Hou, Z., Xu, Q., McRoberts, R. E., Greenberg, J. A., Liu, J., Heiskanen, J., Pitkänen, S., & Packalen, P. (2017). Effects of temporally external auxiliary data on model-based inference. Under review. 5. Xu, Q., Man, A., Fredrickson, M., Hou, Z., Pitkänen, J., Wing, B., Ramirez, C., Li, B., & Greenberg, J.A. (2017) Quantification of the uncertainty in the aboveground biomass estimates derived from small-footprint airborne LiDAR. Under review. May

4 4. Xu Q., Hou Z., Vauhkonen J., Li B., Greenberg J., Maltamo M., & Tokola, T. (2017). DBH prediction using allometry described by bivariate copula distribution. Under review. 3. Rana, P., Vauhkonen, J., Junttila, V., Hou, Z., Gautam, B., & Timo Tokola (2017). Large tree diameter distribution modelling using airborne laser scanning data in a subtropical forest of Nepal. Under review. 2. Hou, Z., Xu, Q., Mehtätalo, L., Siipilehto, J., Greenberg, J. A., & Tokola, T. Improve young stands inventory through calibration with remote sensing and best linear unbiased prediction. In preparation. 1. Hou, Z., Xu,Q., Maltamo, M., & Tokola, T. (2017). Systematic adaptive cluster sampling for assessing general populations in forest inventory. In preparation. CONFERENCE PRESENTATIONS AND PROCEEDINGS 4. Hou, Z. & Xu, Q. (2016). Spatial-temporal effects of remote sensing auxiliary data on model-based inference. International Workshop on Quantitative Remote Sensing for Heterogeneous Land Surface, 9-10, July, Beijing, China. 3. Xu, Q., Hou, Z., Maltamo, M., & Tokola, T. (2015) Calibration of the diameter distribution derived from the area-based approach with individual tree-based diameter estimates using the airborne laser scanning. American Geographic Union Fall Meeting, December 2015, San Francisco, USA. 2. Hou, Z., Xu, Q., & Tokola, T. (2013). Analysis of ALS-based prediction errors: an implication for mapping tropical forests. Silvilaser 2013, the 13 th International Conference on LiDAR Applications for Assessing Forest Ecosystems, 9-11, October, 2013, Beijing, China. 1. Xu, Q., Hou, Z., Maltamo, M., & Tokola, T. (2013). Retrieving suppressed trees from model-based height distribution by combining high and low density airborne laser scanning data. Silvilaser 2013, the 13 th International Conference on LiDAR Applications for Assessing Forest Ecosystems, 9-11, October, 2013, Beijing, China. TEACHING EXPERIENCE Summer 2013 Spring 2014 LiDAR data processing and analyses with R, Mekrijärvi research station, University of Eastern Finland. Advanced GIS, University of Eastern Finland. May

5 SERVICE AND PROFESSIONAL SOCIETIES: Reviewed manuscripts for Remote Sensing of Environment, Canadian Journal of Remote Sensing, Canadian Journal of Forest Research, Remote Sensing, Sensors and Annals of Forest Science. Member, American Geophysical Union (since 2015). LANGUAGES Chinese English French Native Fluent Fluent COMPUTER AND ANALYTICAL SKILLS Programming Statistics Remote sensing GIS Optimization Computing Operating Systems Hardware Driving experience C/C++, R, Matlab, Python, IDL Copula, Monte Carlo, Bootstrapping, simulations, sampling, designbased inference, model-based inference, variance estimators, statistical inference, Bayesian inference, stochastic process, hypothesis tests, mix-effect modeling, regressions, estimation, prediction, machine learning, nonparametric imputation, random forests, artificial neural networks, k-nn, k-msn, clustering, k-means, classification, watershed algorithm, multiscale region merging algorithm, R, Minitab, SPSS, etc. LiDAR data processing, multispectral data processing, hyperspectral data processing, raster data processing, vector data processing, unmanned airborne vehicles, GDAL/OGR package, rgdal package, raster package, Erdas Imagine, ENVI, GDAL, Leica Photogrammetry Suite, ecognition, Terrasolid, OPALS, FUSION, LAStools, etc. ArcGIS, SQL, Grass, QGIS, etc. SIMO, MONSU, GAYA, J, REMSOFT, etc. High-performance computing, big data processing and analysis, Linux. MacOS 7-10,*NIX (Debian, Ubuntu, Redhat, BSD), Windows 3.x/95/98/NT/2000/XP/Vista/7, DOS. Assemblage and maintenance of PC, server, network and peripherals 15 years May

6 REFEREES Timo Tokola (Professor) Professor in remote sensing and geographical information technology School of Forest Sciences, University of Eastern Finland P.O.Box 111, Joensuu, Finland Tel: Matti Maltamo (Professor) Professor in forest inventory and mensuration, specialized in LiDAR sensing School of Forest Sciences, University of Eastern Finland P.O.Box 111, Joensuu, Finland Tel: Tuula Packalen (Professor) Professor in forest modeling and analyses Natural Resources Institute Finland (Luke) P.O. Box 68, Joensuu, Finland Tel: Petteri Packalen (Associate Professor) Professor in forest remote sensing, specialized in LiDAR and optical sensing School of Forest Sciences, University of Eastern Finland P.O.Box 111, Joensuu, Finland Tel: Jonathan A. Greenberg (Associate Professor) (new affiliation) Randall Endowed Professor and Associate Professor of Remote Sensing Natural Resources & Environmental Science University of Nevada, Reno Fleischmann Agriculture Room N Virginia St MS0186, Reno, NV Tel: jgreenberg@unr.edu May