Education Award Interests Publications Teaching Other
  Back to the top  Education

back to top

  Back to the top  Selected Awards

back to top

  Back to the top  Research Interests
  • Remote sensing of environment and natural resources: image processing and classification; biophysical and biochemical information extraction; LIDAR remote sensing; mapping fire, vegetation health, and invasive species
  • GIS, spatial data analysis, geostatistics: GIS database design, system design, visualization, digital elevation model generation, spatial pattern analysis, variogram parameters extraction
  • Environmental Science: vegetation and atmosphere interactions; the role of heterogeneity in ecological modeling; land surface parameterizations; ecosystem ecology.

back to top

  Back to the top  Publications
Lidar Remote Sensing
  1. Vaglio Laurin, G., N., Puletti, Q. Chen, P. Corona, D., Papale, and R. Valentini, 2016. Above ground biomass and tree species richness estimation with airborne lidar in tropical Ghana forests. International Journal of Applied Earth Observation and Geoinformation, 52, 371-379.
  2. McRoberts, R.E., G. Domke, Q. Chen, E. Næsset, and T. Gobakken, 2016. Using genetic algorithms to optimize k-Nearest Neighbors configurations for use with airborne laser scanning data. Remote Sensing of Environment, 184, 387-395.
  3. McRoberts, R.E., Q. Chen, G. Domke, G. Ståhl, S. Saarela, and J. Westfall, 2016. Hybrid estimators for mean aboveground carbon per unit area. Forest Ecology and Management, 378, 44-56.
  4. McRoberts, R.E., Q. Chen, G. Domke, E. Naesset, T. Gobakken, G. Chirici, M. Mura, 2016. Optimizing nearest neighbor configurations for airborne laser scanning-assisted estimation of forest volume and biomass. Forestry: An International Journal of Forest Research, doi:10.1093/forestry/cpw035.
  5. Chen, Q., R.E. McRoberts, C. Wang, P. Radtke, 2016. Forest aboveground biomass mapping and estimation across multiple spatial scales using model-based inference. Remote Sensing of Environment, 184, 350-360.
  6. Chen, Q., D. Lu, M. Keller, M. dos-Santos, E. Bolfe, Y. Feng, C. Wang, 2016. Modeling and Mapping Agroforestry Aboveground Biomass in the Brazilian Amazon Using Airborne Lidar Data. Remote Sensing, 8(1), 21; doi: 10.3390/rs8010021.
  7. Chen, Q., 2015. Modeling aboveground tree woody biomass using national-scale allometric methods and airborne lidar. ISPRS Journal of Photogrammetry and Remote Sensing, 106, 95-106.
  8. Chen, Q., G. Vaglio Laurin, R. Valentini, 2015. Uncertainty of Remotely Sensed Aboveground Biomass over an African Tropical Forest: Propagating Errors from Trees to Plots to Pixels. Remote Sensing of Environment, 160, 134-143. (Top 1% cited paper in the field of Geosciences based on a highly cited threshold for the field and publication year)
  9. Lu, D., Q. Chen, G. Wang, L. Liu, G. Li, E. Moran, 2014. A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems. International Journal of Digital Earth, doi:10.1080/17538947.2014.990526.
  10. Vaglio Laurin, G., Q. Chen, J.A. Lindsell, D.A. Coomes, F. Del Frate, L. Guerriero, F. Pirotti, R. Valentini, 2014. Above ground biomass estimation in an African tropical forest with lidar and hyperspectral data. ISPRS Journal of Photogrammetry and Remote Sensing, 89, 49-58. (Top 1% cited paper in the field of Geosciences based on a highly cited threshold for the field and publication year)
  11. Cooper, H., and Q. Chen, 2013. Incorporating uncertainty of future sea-level rise estimates into vulnerability assessment: A case study in Kahului, Maui. Climatic Change, 121(4), 635-647.
  12. Chen, Q., 2013. Lidar remote sensing of vegetation biomass. In: Remote Sensing of Natural Resources, edited by Q. Weng and G. Wang, CRC Press: Taylor & Francis Group, pp 399-420.
  13. Cooper, H., C. Fletcher, Q. Chen, and M. Barbee, 2013. Sea-level rise vulnerability mapping for adaptation decisions using LiDAR. Progess in Physical Geography, 37(6), 745-766.
  14. Liu, W., Q. Chen, 2013. Synergistic use of satellite laser altimetry and Shuttle Radar Topography Mission DEM for estimating ground elevation over mountainous vegetated areas. IEEE Geoscience and Remote Sensing Letters, 10(3), 481-485.
  15. Guo, J., C. Han, Q. Chen, 2012. Application of LIDAR technology to monitoring and management of interior water system . Environmental Science & Technology , 35(12), 193-197. (In Chinese with English abstract)
  16. Cooper, H., Q. Chen, C. Fletcher, and M. Barbee, 2012. Vulnerability assessment due to sea-level rise in Maui, Hawai'i using LiDAR remote sensing and GIS. Climatic Change, 116(3-4), 547-563.
  17. Lu, D., Q. Chen, G. Wang, E. Moran, M. Batistella, M. Zhang, G. Vaglio Laurin, and D. Saah, 2012. Aboveground forest biomass estimation with Landsat and LiDAR data and uncertainty analysis of the estimates. International Journal of Forestry Research, doi:10.1155/2012/436537.
  18. Chen, Q., G. Vaglio Laurin, J. Battles, and D. Saah, 2012. Integration of airborne lidar and vegetation types derived from aerial photography for mapping aboveground live biomass. Remote Sensing of Environment, 121, 108-117.
  19. Lee, S., W. Ni-Meister, W. Yang, Q. Chen, 2011. Physically based vertical vegetation structure retrieval from ICESat data: Validation using LVIS in White Mountain National Forest, New Hampshire, USA. Remote Sensing of Environment, 115, 2776-2785.
  20. Chen, Q., 2010. Retrieving canopy height of forests and woodlands over mountainous areas in the Pacific coast region using satellite laser altimetry, Remote Sensing of Environment, 114, 1610-1627.
  21. Chen, Q., 2010. Assessment of terrain elevation derived from satellite laser altimetry over mountainous forest areas using airborne lidar data, ISPRS Journal of Photogrammetry and Remote Sensing, 65(1),111-122.
  22. Chen, Q., 2009. Improvement of the Edge-based Morphological (EM) method for lidar data filtering, International Journal of Remote Sensing, 30(4), 1069-1074.
  23. Chen, Q., P. Gong, D.D. Baldocchi, and Y. Tian, 2007. Estimating basal area and stem volume for individual trees from LIDAR data, Photogrammetric Engineering and Remote Sensing, 73(12), 1355-1365
  24. Chen, Q., 2007, Airborne lidar data processing and information extraction, Photogrammetric Engineering and Remote Sensing, 73(2), 109-112 (cover story)
  25. Chen, Q., P. Gong, D.D. Baldocchi, and G. Xie., 2007, Filtering airborne laser scanning data with morphological methods, Photogrammetric Engineering and Remote Sensing, 73(2),175-185
  26. Chen, Q., D.D. Baldocchi, P. Gong, and M. Kelly, 2006. Isolating individual trees in a savanna woodland using small footprint LIDAR data, Photogrammetric Engineering and Remote Sensing, 72(8), 923-932

Multispectral & Hyperspectral Remote Sensing

  1. Chen, Q., 2016. Classifying tree species using high spatial resolution imagery for the palila habitat in Hawaii, In Remote Sensing for Sustainability, CRC Press, Taylor & Francis Group, Boca Raton, Florida.
  2. Vaglio Laurin, G., N. Puletti, W. Hawthorne, V. Liesenberg, P. Corona, Q. Chen, and R. Valentini, 2016. Discrimination of tropical forest types, dominant species, and functional guilds mapping by hyperspectral and simulated Sentinel-2 data, Remote Sensing of Environment, 176, 163-176.
  3. Vaglio Laurin, G., J. Chan, Q. Chen, J. Lindsell, D. Coomes, L. Guerriero, F. Del Frate, F. Miglietta, and R. Valentini, 2014. Biodiversity mapping in a tropical west african forest with airborne hyperspectral data, PLoS ONE, 9(6):e97910. doi:10.1371/journal.pone.0097910.
  4. Vaglio Laurin, G., V. Liesenberg, Q. Chen, L. Guerriero, F. Del Frate, A. Bartolini, D. Coomes, B. Wilebore, J. Lindsell, and R. Valentini, 2013. Optical and SAR sensor synergies for forest and land cover mapping in a tropical site in West Africa, International Journal of Applied Earth Observation and Geoinformation, 21, 7-16.
  5. Luz, N., D.Santos, A. Mendonca, A. Antunes, H. Araki, Q. Chen, 2012. Combined use of Quickbird and lidar data for mapping an urban environment, French Journal of Photogrammetry and Remote Sensing, 198-199, 78-87.
  6. Martinez Morales, R., T. Idol, and Q. Chen, 2012. Differentiation of Acacia koa forest stands across an elevation gradient in Hawaii using fine-resolution remotely sensed imagery, International Journal of Remote Sensing, 33(11), 3492-3511.
  7. Szuster, B., Q. Chen, and M. Borger, 2011. A comparison of classification techniques to support land cover and land use analysis in tropical coastal zones. Applied Geography, 31(2), 525-532.
  8. An, R., Gong, P., Wang, H., Feng, X., Xiao, P., Chen, Q., Zhang, Q., Chen, C., Yan, P., 2010. A modified PSO algorithm for remote sensing image template matching, Photogrammetric Engineering and Remote Sensing, 76(4), 379-389.
  9. Pu, R., N. M. Kelly, Q. Chen, and P. Gong, 2008. Spectroscopic determination of health levels of Coast Live Oak (Quercus agrifolia) leaves. Geocarto International, 23(1), 3-20
  10. Chen, Q., P. Gong, 2004. Automatic variogram parameter extraction for textural classification of high resolution IKONOS Imagery, IEEE Transactions on Geoscience and Remote Sensing, 42(5), 1106-1115

Ecosystem & Environmental Science

  1. Ren, Y., L. Deng, S. Luo, Y. Liao, C. Xu, Q. Chen, Z. Li, and Z. Li, 2016. Quantifying the influence of various ecological factors on land surface temperature of urban forests. Environmental Pollution, doi:10.1016/j.envpol.2016.06.004.
  2. Mora, C., C. Wei, A. Rollo, T. Amaro, A.R. Baco, D. Billett, L. Bopp, Q. Chen, and 21 more co-authors, 2013. Biotic and human vulnerability to projected changes in ocean biogeochemistry over the 21st century. Plos Biology, 11(10): e1001682. doi:10.1371/journal.pbio.1001682.
  3. Tomo'omi, K., R. Mudd, Y. Miyazawa, W. Liu, T. Giambelluca, N. Kobayashi, T. Lim, M. Jomura, K. Matsumoto, M. Huang, Q. Chen, A. Ziegler, S. Yin, 2013. Simulation of canopy CO2/H2O fluxes for a rubber (Hevea brasiliensis) plantation in central Cambodia: the effect of the regular spacing of planted trees. Ecological Modelling, 265, 124-135.
  4. Kobayashi, H., D. Baldocchi, R. Youngryel, Q. Chen, S. Ma., J. Osuna, and S. Ustin, 2012. Modeling energy and carbon fluxes in a heterogeneous oak woodland: A three-dimensional approach. Agricultural and Forest Meteorology, 152, 83-100.
  5. Baldocchi, D.D. Chen, Q., Chen, X., Ma, S., Miller, G., Ryu, Y., Xiao, J., Wenk, R. and Battles, J. 2010. The dynamics of energy, water and carbon fluxes in a Blue Oak (Quercus douglasii) savanna in California, USA, In: Ecosystem Function in Global Savannas: Measurement and Modeling at Landscape to Global Scales – edited by Michael J. Hill and Niall P. Hanan and published by CRC/Taylor and Francis.
  6. Chen, Q., D.D. Baldocchi, P. Gong, and T. Dawson, 2008. Modeling radiation and photosynthesis of a heterogeneous savanna woodland landscape with a hierarchy of model complexities, Agricultural and Forest Meteorology, 148(6-7), 1005-1020
  7. Ye, Q, S. Chen, Q. Chen, C. Huang, G. Tian, S. Chen, Y. Shi, Q. Liu, and G. Liu, 2006, Spatial-temporal characteristics in landscape evolution of the Yellow River Delta during 1855 – 2000 and a way out for the Yellow River estuary, Chinese Science Bulletin, 51 (Supp. 197—209), DOI: 10.1007/s11434-006-8197-9

GIS, statistical analysis

  1. Giambelluca, T., Q. Chen, A.G. Frazier, J.P. Price, Y. Chen, P. Chu, J.K. Eischeid, and D.M. Delparte, 2013. Online rainfall atlas of Hawaii. Bulletin of the American Meteorological Society, 94, 313-316. (Top 1% cited paper in the field of Geosciences based on a highly cited threshold for the field and publication year)
  2. Zhang, W., Q. Chen, H. McCubbin, L. McCubbin, and S. Foley, 2011. Predictors of mental and physical health: Individual and neighborhood levels of education, social well-being, and ethnicity. Health and Place, 17(1), 238-247.
  3. Zhang, W., McCubbin, H., McCubbin, L., Chen, Q., Foley, S., Kehl, L., and Storm, I., 2010, Education and self-rated health: An individual and neighborhood level analysis of Asian Americans, Hawaiians, and Caucasians, Social Science & Medicine, 70, 561-569.
  4. Wang, Z., X. Feng, and Chen, Q., 2000. Implementation of an Arc/Info-based enterprise GIS - a case study in Zhuzhou surveying and mapping information system of houses properties. Application Research of Computers, 17(10) (in Chinese)
  5. Li, M., Chen, Q., Y. Zhou, X. Li, 2000. Data organizing and processing of enterprise-GIS based on spatial data engine Journal of Images and Graphics , 5A(3), 179-185 (in Chinese with English abstract)
  6. Chen, Q., M. Li, G. Wu, Z. Wang, 1999. Some issues on designing a land-use planning management information system. Application Research of Computers, 16(5) (in Chinese)
  Back to the top  Teaching
  • Spring 2009, GEOG 488, Geographic Information Systems.
  • Spring 2009, GEOG 470, Remote Sensing.
  • Fall, 2008, GEOG 762, Graduate Seminar: Remote Sensing
  • Fall 2008, GEOG 370, Map Use and Aerial Photo Interpretation
  • Spring, 2008, GEOG 470, Remote Sensing.
  • Fall, 2007, GEOG 762, Graduate Seminar: Remote Sensing.

back to top

  Back to the top  Other
  • Editor:
  • Reviewer:
    • Remote sensing and GIS journals: Remote Sensing of Environment (IF impact factor: 3.9); Photogrammetric Engineering and Remote Sensing (IF: 1.8); International Journal of Remote Sensing (IF: 1.0); ISPRS Journal of Photogrammetry and Remote Sensing (IF: 2.3); IEEE Geoscience and Remote Sensing Letters (IF: 1.4); Computers & Geosciences (IF: 0.9); Remote Sensing (MDPI journal).
    • Environmental science journals: Agricultural and Forest Meteorology (IF: 3.7);  Plant Cell & Environment (IF: 4.5); Journal of Geophysical Research - Biogeosciences (IF: 3.0);  Journal of Applied Meteorology and Climatology (IF: 1.9); New Phytologist (IF: 5.2)
    • Forestry journals: The Forestry Chronicle (IF: 0.8); Forest Science (IF: 1.3); Annals of Forest Science (IF: 1.6); Canadian Journal of Forest Research (IF: 1.4); Western Journal of Applied Forestry (0.4).
    • Proposals: NASA Terrestrial Ecology Program; U.S. Geological Survey;  Netherlands Organisation for Scientific Research (NWO); Chinese Academy of Science
  • Chair of membership committee (2007-now), General Secretary (2006-2007) of International Association of Chinese Professionals in Geographic Information Sciences (CPGIS)
  • Lab members:
    • Changwei Wang, Visiting Professor, South China Agricultural University.
    • Fuxiang Wang, Visiting Professor, Beihang University.
    • Rodolfo Martinez Morales (PhD): Graduated in 2010 Spring. PhD Dissertation: Differentiation of forest stands, assessment of forest health and silvicultural guidelines for growing and managing the native Hawaiian hardwood Acacia koa. Current Position: Director of the Terrestrial Science, The Charles Darwin Foundation, Galápagos, Ecuador.
    • Lisa Wedding (PhD): Expected in 2010 fall. Applying a landscape ecology approach to quantify the structure, ecology and use of the seascape by coral reef fish assemblages at multiple spatial scales.
    • Wen Liu (PhD):
    • Elizabeth McLeod (PhD):
    • Naíssa Batista da Luz (Visiting PhD Student, Federal University of Paraná, Brazil, 2010.3-2010.9). Dissertation topic: High resolution image pattern recognition and landscape ecology analysis applied to an important Araucaria forest remnant conservation.
    • Gaia Vaglio Laurin (Visiting PhD student, University of Tor Vergata, Rome, Italy. 2010.12-2011.4). Research topic: lidar remote sensing of vegetation.
    • Migraliette U Purbaranti (MA): Graduated in 2009 spring. Thesis: Temporal and spatial impacts of mining in Kalanaman watershed, central Kalimantan, Indonesia and the local perspective on watershed management.
    • Bixler McClure (MA): Graduated in 2009 spring. Thesis: Assessing recreational scuba diver perceptions of crowding.
    • Ryan Riddle (MA): Graduated in 2010 fall. Thesis: Remote sensing techniques for classifying the habitat of an endangered bird species on Mauna Kea.
    • Hannah Cooper (BA). URC Undergraduate Summer Research Awardee. Research topic: Assessment of sea level rise with lidar data.
  • External Ph.D. Dissertation Examiner:
    • Solomon G. Tesfamichael, University of KwaZulu-Natal, Graduated 2009 Spring. Dissertation: Assessment of structural attributes of even-aged Eucalyptus grandis forest plantations using small-footprint discrete return lidar data.

     

back to top