Book Chapters
 

  • Zhang, L. and Q. Weng*. 2018. Impervious surface estimation by the integrated use of Landsat and MODIS time series in Wuhan, China. In Weng, Q. (ed.): Remote Sensing Time Series Image Processing, Boca Raton, FL: CRC Press/Taylor and Francis, Chapter 6, pp. 121-134.

  • Ha, H.Q. and Q. Weng*. 2018. Mapping impervious surfaces in the greater Hanoi area, Vietnam, from time series Landsat image, 1988–2015, In Weng, Q., Quattrochi, D.A. and P. Gamba (eds.): Urban Remote Sensing (Second Edition). Boca Raton, FL: CRC Press/Taylor and Francis, Chapter 8, pp. 173-194.

  • Cheng, M. and Q. Weng*. 2017. Urban road extraction from combined datasets of high-resolution satellite imagery and LiDAR data using GEOBIA. In D.A. Quattrochi, E. Wentz, N. S.-N. Lam, and C.W. Emerson (eds.): Integrating Scale in Remote Sensing and GIS, Boca Raton, FL: CRC Press/Taylor and Francis, Chapter 10, pp. 283-302.

  • Zhang, L. and Q. Weng. 2016. Assessment of urban growth in the Pearl River Delta, China, using time series Landsat imagery. In Weng, Q. editor. Remote Sensing for Sustainability. Boca Raton, FL: CRC Press/Taylor and Francis, Chapter 3, pp. 45-60.
  • Xiao, H. and Q. Weng. 2016. A tale of two cities: Urbanization in Greensboro, North Carolina, USA, and Guiyang, Guizhou, China. In Weng, Q. editor. Remote Sensing for Sustainability. Boca Raton, FL: CRC Press/Taylor and Francis, Chapter 5, pp. 81-99.
  • Jiang, Y. and Q. Weng. 2016. Heat hazard monitoring with satellite-derived land surface temperature. In Weng, Q. editor. Remote Sensing for Sustainability. Boca Raton, FL: CRC Press/Taylor and Francis, Chapter 11, pp. 211-228.
  • Xie, Y. and Q. Weng. 2016. Use of nighttime imaging data to assess decadal trends in energy use in China. In Weng, Q. editor. Remote Sensing for Sustainability. Boca Raton, FL: CRC Press/Taylor and Francis, Chapter 15, pp. 277-296.
  • Zheng, Y. and Q. Weng. 2016. Assessing solar energy potential and building energy use in Indianapolis using geospatial techniques. In Weng, Q. editor. Remote Sensing for Sustainability. Boca Raton, FL: CRC Press/Taylor and Francis, Chapter 17, pp. 317-350.
  • Weng, Q. 2014. What is special about global urban remote sensing? In Weng, Q. editor. Global Urban Monitoring and Assessment through Earth Observation. Boca Raton, FL: CRC Press/Taylor and Francis, Chapter 1, pp. 1-12.
  • Weng, Q., Esch, T., Gamba, P., Quattrochi, D.A. and G. Xian. 2014. Global urban observation and information: GEO’s effort to address the impacts of human settlements. In Weng, Q. editor. Global Urban Monitoring and Assessment through Earth Observation. Boca Raton, FL: CRC Press/Taylor and Francis, Chapter 2, pp. 15-34.
  • Weng, Q., Gamba, P., Mountrakis, G. and 14 others. 2014. Urban observation sensors. In Weng, Q. editor. Global Urban Monitoring and Assessment through Earth Observation. Boca Raton, FL: CRC Press/Taylor and Francis, Chapter 4, pp. 49-79.
  • Liang, B. and Q. Weng. 2014. Multiscale fractal characteristics of urban landscape in Indianapolis, USA. In: Weng, Q. editor. Scale Issues in Remote Sensing. Hoboken, NJ: John Wiley & Sons, Chapter 12, pp. 230-252.
  • Liu, H. and Q. Weng. 2014. Scaling issues in studying the relationship between landscape pattern and land surface temperature. In: Weng, Q. editor. Scale Issues in Remote Sensing. Hoboken, NJ: John Wiley & Sons, Chapter 11, pp. 217-229.
  • Weng, Q. 2014. On the issue of scale in urban remote sensing. In: Weng, Q. editor. Scale Issues in Remote Sensing. Hoboken, NJ: John Wiley & Sons, Chapter 4, pp. 61-78.
  • Weng, Q. 2014. Characterizing, measuring, analyzing and modeling scale in remote sensing - an overview. In: Weng, Q. editor. Scale Issues in Remote Sensing. Hoboken, NJ: John Wiley & Sons, Chapter 1, pp. 3-10.
  • Hu, X. and Q. Weng. 2013. Extraction of impervious surfaces from hyperspectral imagery: linear vs. nonlinear methods. In Wang, G.X. and Q. Weng (eds.): Remote Sensing of Natural Resources. CRC Press, Boca Raton, Florida, Chapter 8, pp. 141-153.
  • Weng, Q. 2013. Introduction to remote sensing systems, data, and applications. In Wang, G.X. and Q. Weng (eds.): Remote Sensing of Natural Resources. CRC Press, Boca Raton, Florida, Chapter 1, pp. 3-19.
  • Weng, Q. 2011. Thermal remote sensing of urban areas: theoretical backgrounds and case studies. In Weng, Q. (ed.): Advances in Environmental Remote Sensing: Sensors, Algorithms, and Applications, CRC Press/Taylor and Francis, chapter 6, pp. 143-160.
  • Lu, D., Weng, Q., Moran, E., Li, G. and S. Hetrick. 2011. Remote sensing image classification. In Weng, Q. (ed.): Advances in Environmental Remote Sensing: Sensors, Algorithms, and Applications, CRC Press/Taylor and Francis, chapter 9, pp. 223-243.
  • Weng, Q. 2011. Remote sensing of urban biophysical environment. In Weng, Q. (ed.): Advances in Environmental Remote Sensing: Sensors, Algorithms, and Applications, CRC Press/Taylor and Francis, chapter 20, pp. 513-533.
  • Weng, Q. 2010. Urban environmental studies. In Warf, B. (ed.): Encyclopedia of Geography (vol. 6). Thousand Oaks, CA: Sage Reference, pp. 2927-2933. <http://www.sage-ereference.com/geography/Article_n1184.html>.
  • Weng, Q. 2009. Guangzhou. In Pong, D. (ed.): Encyclopedia of Modern China. Detroit, MI: Charles Scribner’s Sons, Volume 4, pp. 159-161.
  • Weng, Q., Hu, X. and D. Lu. 2007. Extracting impervious surface from hyperspectral imagery with linear spectral mixture analysis. In Weng, Q. (ed.): Remote Sensing of Impervious Surfaces. Boca Raton, FL: CRC/Taylor & Francis, pp. 93-118.
  • Lu, D. and Weng, Q. 2007. Mapping urban impervious surfaces from medium and high spatial resolution multispectral imagery. In Weng, Q. (ed.): Remote Sensing of Impervious Surfaces. Boca Raton, FL: CRC/Taylor & Francis, pp. 59-74.
  • Liang, B., Weng, Q. and D. Lu. 2007. Census-based multiple scale residential population modeling with impervious surface data. In Weng, Q. (ed.): Remote Sensing of Impervious Surfaces. Boca Raton, FL: CRC/Taylor & Francis, pp. 409-430.
  • Weng, Q. and D. Lu. 2006. Sub-pixel analysis of urban landscapes. In Weng, Q. and D. Quattrochi (eds.): Urban Remote Sensing. Boca Raton, FL: CRC/Taylor & Francis, pp. 71-90.
  • Li, G. and Weng, Q. 2006. The integration of GIS and remote sensing for assessing urban quality of life: Model development and validation. In Weng, Q. and D. Quattrochi (eds.): Urban Remote Sensing. Boca Raton, FL: CRC/Taylor & Francis, pp. 311-336.
  • Weng, Q. 2006. An evaluation of spatial interpolation accuracy of elevation data, In Riedl, A., Kainz, W. and G.A. Elmes (eds.): Progress in Spatial Data Handling. Springer-Verlag, Berlin, pp. 805-824.
  • Weng, Q. and R.C. Larson. 2005. Satellite remote sensing of urban heat islands: current practice and prospects. In Gatrell, J., Jensen, R. and D. McLean (eds.): Geo-Spatial Technologies in Urban Environments. Springer-Verlag, Berlin, pp. 91-112.
  • Weng, Q. 2002. Quantifying uncertainty of digital elevation models derived from topographic maps. In Richardson, D. and P. van Oosterom (eds.): Advances in Spatial Data Handling, In Springer-Verlag, New York, pp.403-418.
  • Carpenter, L.M. and Q. Weng. 2000. GIS-based environmental equity assessment of the Birmingham Metropolitan area. University of Alabama McNair Journal, 1: 59-67.