Publications

(* advisee)
*Zhang, Q., Bilsborrow, R. E., Song, C., Tao, S. and Huang, Q. 2019. Rural household income distribution and inequality in China: Effects of payment for ecosystem services policies and other factors. Ecological Economics, 160: 114-127.

*Wang, Y., Bilsborrow, R., *Zhang, Q., Li, J. and Song, C. 2019. Effects of payment for ecosystem services and agricultural subsidy programs on rural household land use decisions in China: synergy or trade-off? Land Use Policy, 81: 785-801.

Hakkenberg, C. R., Dannenberg, M. P., Song, C., and Ensor, K. B. 2019. Characterizing multi-decadal, annual land cover change dynamics in Houston, TX based on automated classification of Landsat imagery, International Journal of Remote Sensing, 40(2): 693-718. doi: 10.1080/01431161.2018.1516318.

*Zhang, Q., Bilsborrow, R., Song, C. , Huang, Q. 2018. Determinants of out-migration in rural China: Effects of payment for ecosystem services. Population and Environment, doi: 10.1007/s11111-018-0307-5.

Chen, X., *Zhang, Q., Peterson, N. and Song, C. 2018. Feedback effect of crop-raiding in payments for ecosystem services. Ambio, doi: 10.1007/s13280-018-1105-0.

Treacy, P., Jagger, P., Song, C., *Zhang, Q. and Bilsborrow, R. E., 2018. Impacts of China’s Granin for Green Program on Migration and Household Income. Environmental Management, doi: 10.1007/s00267-018-1047-0.

Dannenberg, M. P., Hakkenberg, C. R. and Song, C., 2018. A long-term, consistent land cover history of the southeastern United States. Photogrammetric Engineering and Remote Sensing, 84(9): 35-44. doi: 0.14358/PERS.84.9.485 (Early Career Award winning paper for Dr. Dannenberg from the Remote Sensing Specialty Group of American Association of Geographers; John I. Davidson President’s Award for Practical Papers, 2nd place).

*Wu, Q., Song, C., Song, J., Wang, J., Chen, S, and Yu, B. 2018. Impacts of leaf age on canopy spectral signature variation in evergreen Chinese fir forests. Remote Sensing, 10(2), 262, doi: 10.3390/rs10020262.

*Zhang, Q., Song, C., and Chen, X. 2018. Effects of China’s Payment for Ecosystem Services on Cropland Abandonment: A Case Study in Tiantangzhai Township, Anhui, China. Land Use Policy, 73: 239-248.

*Hakkenberg, C. R., Zhu, K., Peet, R. K. and Song, C.. 2018. Mapping multi-scale vascular plant richness in a forest landscape with integrated LiDAR and hyperspectral remote-sensing. Ecology, 99(2): 474-487.

*Hakkenberg, C.R., Peet, R.K., Urban, D.L. and, Song, C. 2018. Modeling plant composition community-continua in a Piedmont forest landscape with LiDAR and hyperspectral remote sensing. Ecological Applications, 28(1): 177-190. doi:10.1002/eap.1638.

Song, C., Bilsborrow, R., Jagger, P., *Zhang, Q., Chen, X. and Huang, Q. 2018. Rural household energy use and its determinants in China: How important are influences of payment for ecosystem services vs. other factors. Ecological Economics, 145: 148-159; doi:10.1016/j.ecolecon.2017.08.028 (paper highlighted by Nature Energy: http://www.nature.com/articles/s41560-017-0041-8).

*Qiu, T., Song, C. and Li, J. 2017. Impacts of urbanization on vegetation phenology over the past three decades in Shanghai, China. Remote Sensing, 9, 970; doi:10.3390/rs9090970.

Zhang, K., Song, C., *Zhang, Y., Dang, H., Cheng, X. and Zhang, Q. 2017. Global-scale patterns of nutrient density and partitioning in forests in relation to climate. Global Change Biology, DOI: 10.1111/gcb.13860.

*Dannenberg, M. P., *Hakkenberg, C. R. and Song, C. 2017. Automatic Adaptive Signature Generalization in R. DOI:10.17632/s7c3vfr84w.1. https://data.mendeley.com/datasets/s7c3vfr84w/1.

*Zhang, Y., Song, C., Band, L. E., Sun, G. and Li, J. 2017. Reanalysis of global terrestrial vegetation trends from MODIS products: browning or greening? Remote Sensing of Environment, 191:144-155.

*Ran, L., Pleim, J., Song, C., Band, L., Walker, J. T. and Binkowski, F. S. 2017. A Photosynthesis-based two-leaf canopy stomatal conductance model for meteorology and air quality modeling with WRF/CMAQ PX LSM. Journal of Geophysical Research-Atmosphere, 122, DOI: 10.1002/2016JD025583.

Zhang, K., Song, C., *Zhang, Y. and Zhang, Q. 2017. Natural Disasters and Economic Development Drive Forest Dynamics and Transition in China. Forest Policy and Economics, 76: 56-64. doi: 10.1016/j.forpol.2015.08.010.

*Zhang, Q., *Hakkenberg, C. R. and Song, C. 2016. Evaluating the Effectiveness of Forest Conservation Policies with Multi-temporal Remotely Sensed Imagery: A case study from Tiantangzhai Township, Anhui, China. In: Comprehensive Remote Sensing: Remote Sensing Applications for Societal Benefits, Walsh, S. J. (ed). Elsevier. DOI: 10.1016/B978-0-12-409548-9.10434-X.

*Hakkenberg, C. R., Song, C., Peet, R. K. and White, P. S. 2016. Forest Structure as a Predictor of Tree Species Diversity in the North Carolina Piedmont. Journal of Vegetation Science, dos: 10.1111/jvs.12451.

*Dannenberg, M. P., *Hakkenberg, C. R. and Song, C. 2016. Consistent classification of Landsat time series with an improved automatic adaptive signature generalization algorithm. Remote Sensing, 8, 691; doi:10.3390/rs8080691.

*Zhang, Y., Song, C., Sun, G., Band, L. E., McNulty, S., Noormets, A., and Zhang, Q. and Zhang, Z., 2016. Development of a coupled carbon and water model for estimating global gross primary productivity and evapotranspiration based on eddy flux and remote sensing data. Agricultural and Forest Meteorology, 223: 116-131.

*Zhang, Y., Song, C., Sun, G., Band, L. E., Noormets, A., and Zhang, Q. 2015.  Understanding moisture stress on light-use efficiency across terrestrial ecosystems based on global flux and remote sensing data. Journal of Geophysical Research-Biogeosciences, 120, doi:10.1002/2015JG003023.

*Jones, C., Song, C. and Moody, A. 2015. Where’s Woolly? An Integrative Use of Remote Sensing to Improve Predictions of the Spatial Distribution of an Invasive Forest Pest the Hemlock Woolly Adelgid. Forest Ecology and  Management, 358: 222-229.

*Dannenberg, M. P., Song, C., Hwang, T. and Wise, E. K. 2015.  Empirical evidence of El Niño-Southern Oscillation influence on land surface phenology and productivity in the western United States. Remote Sensing of Environment, doi:10.1016/j.rse.2014.11.026.

Song, C., Chen J. M., Hwang, T., Gonsamo, A., Croft, H., Zhang, Q., *Dannenberg, M., *Zhang, Y., *Hakkenberg, C., Li, J. 2015. Ecological Characterization of Vegetation Using Multi-Sensor Remote Sensing in the Solar Reflective Spectrum. In: Remote Sensing Handbook II: Land Resources Monitoring, Modeling and Mapping with Remote Sensing, Thenkabail, P. S. (ed). Page 533-574. Taylor and Francis, ISBN: 978-1-4822-1795-7.

Cheng, X., Wei, B., Chen, G., Li, J., Song, C. 2014. The influence of park size and its surrounding urban landscape patterns on the park cooling effect. Journal of Urban Planning and Development, DOI: 10.1061/(ASCE)UP.1943-5444.0000256.

*Zhang, Y., Song, C., Zhang, K., Cheng, X., Band, L. E. and Zhang, Q. 2014. Effects of land use/land cover and climate changes on terrestrial net primary productivity in the Yangtze River Basin, China from 2001 to 2010. Journal of Geophysical Research-Biogeosciences, doi: 10.1002/ 2014JG002616.

Zhou, L., Tian, Y., Myneni, R. B., Ciais, P., Saatchi, S., Liu, Y. Y., Piao, S., Chen, H., Vermote, E. F., Song, C. and Hwang, T. 2014. Widespread decline of Congo rainforest greenness in the past decade. Nature, 509: 86-90, doi: 10.1038/nature13265 (selected as NEWS&VIEWS paper; Chambers, J.Q., Roberts, D.A. 2014. Ecology: Drought in the Congo Basin, Nature, 509, 36-37; NASA press release 14-117).

*Hwang, T., Band, L. E., Miniat, C. F., Song, C., Bolstad, P. V., Vose, J. M. and Love, J. P. 2014. Divergent phonological response to hydroclimate variability in forested mountain watersheds. Global Change Biology, doi:10.1111/gcb.12556.

Song, C., *Zhang, Y., Mei, Y., Liu, H., Zhang, Z., Zhang, Q., Zha, T., Zhang, K., Huang, C., Xu, X., Jagger, P., Chen, C., Bilsborrow, R. 2014. Forests Sustainability and China’s Sloping Land Conversion Program (SLCP): A Comparison among Three Sites in Anhui, Hubei and Shanxi. Forest Policy and Economics, 38: 161-167.

*Zhang, Y., Song, C., Zhang, K., Cheng, X. and Zhang, Q. 2014. Spatial-temporal variability of terrestrial vegetation productivity in the Yangtze River Basin during 2000-9. Journal of Plant Ecology, 7(1): 10-23. 

*Kim, Y., Band, L. E. and Song, C. 2014. The influence of forest re-growth on the stream discharge in the North Carolina Piedmont watersheds. Journal of the American Water Resources Association, 50(1): 57-73.

Song, C., *Dannenberg, M. P. and *Hwang, T. 2013. Optical Remote Sensing of Terrestrial Primary Productivity (invited progress report). Progress in Physical Geography, 37(6): 834-854.

Li, J., Li, C., Zhu, F., Song, C. and Wu, J. 2013. Spatiotemporal pattern of urbanization in Shanghai, China between 1989 and 2005. Landscape Ecology, 28(8): 1545-1565.

*Gray, J. and Song, C. 2013. Consistent classification of image time series with automatic adaptive signature generalization. Remote Sensing of Environment, 134: 333-341.

*Sexton, J. O., Urban, D. L., Donodue, M. J. and Song, C. 2013. Long-term land cover dynamics by multi-temporal classification across the Landsat-5 record. Remote Sensing of Environment, 128: 246-258.

Song, C. 2013. Optical remote sensing of forest leaf area index and biomass (invited progress report). Progress in Physical Geography, 37(1): 98-113.

*Alvarez, J., Allen, H. L., Albaugh, T. J., Stape, J. L., Bullock, B. P. and Song, C. 2013. Factors influencing the growth of radiate pine plantation in Chile. Forestry, 86: 13-16. DOI: 10.1093/forestry/cps072.

Gao, F., de Colstoun, E. B., Ma, R., Weng, Q., Masek, J. G., Chen, J. Pan, Y. and Song, C. 2012. Mapping impervious surface expansion using medium resolution satellite image time series: A case study in the Yangtze River Delta, China. International Journal of Remote Sensing, 33:24, 7609-7628.

*Gray, J. M. and Song, C.  2012. Mapping leaf area index using spatial, spectral and temporal information from multiple sensors. Remote Sensing of Environment, 119: 173-183.

Li, J., Song, C., Cao, L., Zhu, F. Meng, X., Wu, J. 2011. Impacts of landscape structure on surface urban heat islands: A Case Study of Shanghai, China. Remote Sensing of Environment, 115: 3249-3263.

*Hwang, T., Song, C. Paul V. Bolstad, and Lawrence E. Band, 2011. Downscaling real-time vegetation dynamics by fusing multi-temporal MODIS Landsat NDVI in topographically complex terrain. Remote Sensing of Environment, 115: 2499-2512.

*Hwang, T.,  Song, C., Vose, J. M. and Band, L. E. 2011. Topography-mediated controls on local vegetation phenology estimated from MODIS vegetation index. Landscape Ecology, 26(4): 541-556.

Song, C., *Gray, J. M. and Gao, F. 2011. Remote Sensing of Vegetation with Landsat Imagery. In Advances in Environmental Remote Sensing, Weng, Q. (ed). CRC Press, Taylor and Francis Group. ISBN-13: 978-1-4200-9175-5, pp 3-29.

Song, C., White, B. L., *Heumann, B. W. 2011. Hyperspectral Remote Sensing of Salinity Stress on Red (Rhizophora mangle) and White (Laguncularia racemosa) Mangroves on Galapagos Islands. Remote Sensing Letters, 2(3): 221-230.

Song, C., Dickinson, M. B., *Su, L., *Zhang, S. and Yaussy, D. 2010. Estimating Average Tree Crown Size Using Spatial Information from Ikonos and QuickBird Images:  Across-Sensor and Across-Site Comparisons. Remote Sensing of Environment, 114: 1099-1107.

Song, C. and Zhang, Y. 2010. Forest Cover in China from 1949 to 2006. In: Reforesting Landscapes: Linking Pattern and Process, Nagendra, H. and Southworth, J. (Eds.). ISBN-13: 978-1-4020-9655-6, pp 341-356.

Song, C., Katul, G., Oren, R. Band, L. E., Tague, C. L., Stoy, P. C. and McCarthy, H. R. 2009. Energy, Water and Carbon Fluxes in a Loblolly Pine Stand: Results from Uniform and Gappy Canopy Models with Comparisons to Eddy Flux Data. Journal of Geophysical Research-Biogeosciences, 114, G04021, doi:10.1029/2009JG000951 (18 pages).

Song, C., *Lord, W. J., Zhou, L. and Xiao, J. 2008. Empirical Evidence for Impacts of Internal Migration on Vegetation Dynamics in China from 1982 to 2000. Sensors, 8: 5069-5080; DOI: 10.3390/s8085069.

Song, C. and Dickinson, M. B. 2008. Extracting Forest Canopy Structure from Spatial Information of High Resolution Optical Imagery: Tree Crown Size and Leaf Area Index. International Journal of Remote Sensing, 29(19): 5605-5622. DOI: 10.1080/01431160802060904.

Liu, W., Song, C., Schroder, T. A. and Cohen, W. B. 2008. Predicting Forest Successional Stages with Multitemporal Landsat Imagery and Forest Inventory and Analysis Data. International Journal of Remote Sensing, 29(13):3855-3872.

Song, C.  2007. Estimating Tree Crown Size with Spatial Information of High Resolution Optical Remotely Sensed Imagery. International Journal of Remote Sensing, 28(15): 3305-3322.

Song, C., Schroeder, T. A. Cohen, W. B. 2007. Predicting Temperate Conifer Forest Successional Stage Distributions with Multitemporal Landsat Thematic Mapper Imagery, Remote Sensing of Environment, 106: 228-237.

Song, C. 2006. Bayesian Spectral Mixture Analysis for Urban Vegetation. In: Urban Remote Sensing, Weng, Q. and Quattrochi, D. (edts), Taylor and Francis CRC Press.

Zhang, Y. and Song, C. 2006. Impacts of afforestation, deforestation and reforestation on forest cover in China from 1949 to 2003. Journal of Forestry. 104(7): 383-387.

Schroeder, T. A., Cohen, W. B., Song, C., Canty, M. J. and Yang, Z. 2006. Radiometric correction of multi-temporal Landsat data for characterization of early successional forest patterns in western Oregon. Remote Sensing of Environment, 103(1):16-26.

Song, C. 2005. Spectral mixture analysis for subpixel vegetation fractions: How to incorporate endmember variabilities? Remote Sensing of Environment, 95(2):248-263.

Song, C. 2004. Cross-sensor calibration between Ikonos and Landsat ETM+ for spectral mixture analysis. IEEE Geoscience and Remote Sensing Letters, 1(4):272-276.

Song, C. and Band, L. E.  2004. MVP: A model to simulate the spatial patterns of  photosynthetically active radiation under discrete forest canopies. Canadian Jouranl of Forest Research, 34(6):1192-1203.

Song, C. and Woodcock, C. E. 2003. Monitoring Forest Succession with Multitemporal Landsat Images: Factors of Uncertainty. IEEE Transactions on Geoscience and Remote Sensing, 41(11):2557-2567.

Song, C. and Woodcock, C. E. 2003. Estimating Tree crown size from multiresolution remotely sensed imagery. Photogrammetric Engineering and Remote Sensing, 69(11):1263-1270.

Song, C.  and Woodcock, C. E. 2003. The importance of landuse history and forest age structure in regional terrestrial carbon budgets. Ecological Modelling. 64:33-47.

Song, C., Woodcock, C. E. and Li, X.  2002. The spectral/temporal manifestation of forest succession in optical  imagery: the potential of multitemporal imagery. Remote Sensing of Environment. 82:285-302.

Song, C. and Woodcock, C. E. 2002. The spatial manifestation of  forest succession in optical imagery: the potential of multiresolution imagery. Remote Sensing of Environment. 82:271-284.

Seto, K. C., Woodcock, C.E., Song, C., Huang, X., Kaufmann, R. K., Lu, J. 2002. Measuring landuse change with Landsat TM: evidence from Pearl River Delta. International Journal of Remote Sensing. 23:1985-2004.

Pax-Lenney, M., Woodcock, C. E., Macomber, S. A., Gopal, S. and Song, C. 2001. Forest Mapping with a Generalized Classifier and Landsat TM Data. Remote Sensing of Environment. 77:241-276  (RSE 2001 3rd Most Downloaded Paper)

Song, C., Woodcock, C. E., Seto, K. C., Pax-Lenney, M. and Macomber, S. A. 2001. Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects? Remote Sensing of Environment.  75:230-244.

Song, C., Woodcock, C. E. and Li, X. 2001. Manifestation of forest succession in optical imagery. IEEE 2001 International Geoscience And Remote Sensing Symposium (IGARSS), 9-13 July 2001, The University of New South Wales, Sydney, Australia.

Wang, P. X., Li, X. Gong, J. Y. and Song, C. 2001. Vegetation temperature condition index and its application for drought Monitoring. IEEE 2001 International Geoscience And Remote Sensing Symposium (IGARSS), 9-13 July 2001, The University of New South Wales, Sydney, Australia.

Salvucci, G. D. and  Song, C. 2000. Derived distribution of storm depth and frequency conditioned on monthly total  precipitation: adding value to historical and satellite-derived estimates of monthly precipitation. Journal of Hydrometeorology. 1:113-120.

Pax-lenney, M., Woodcock, C. E., Macomber, S. A. and Song, C. 1999 Identification of conifer forests in Landsat imagery: Generalization in time and space in the pacific northwest, USA. Proceedings, ASPRS 1999 Annual Conference, Portland, Oregon, USA, May 17-21, pp.721-725.

Seto, K. C.,  Song, C., Woodcock, C. E. 1999. Land-use land-cover change in the Pearl River Delta, 1988-1996: Evidence from Landsat TM. Proceedings, ASPRS 1999 Annual Conference, Portland, Oregon, USA, May 17-21, pp. 633-636.

Woodcock, C. E., Macomber, S. A.,  Song, C., Pax-Lenney, M., Gopal, S. 1999. Regional to continental monitoring of change in temperate conifer forests. Pecora 14: Land Satellite Information III Proceedings, ASPRS, pp. 322-327.

He, Q. and  Song, C. 1994. Effects of Forest on the budgets of water, energy and gases in the environment. Journal of Beijing Forestry University (English Edition). 3:1-12.

Song, C. 1993. The microclimate effects of forest ecosystem on the loessial plateau in western Shanxi province (in Chinese). In: The Ecological effects of forest ecosystem on the Loessial Plateau (Ed. Lida Sun and Jinzhao Zhu). The Science Press, China.

Song, C. 1993. The application of Bowen ratio energy balance approach and its error analysis (In Chinese). Journal of Hebei Forestry College. 8:85-96.

Song, C., Zhai, B., Zhang, H. and Wang, W. 1992. A study on the leaf area and the light conditions for Chinese pine at the Permanent Ecosystem Plot in Taiyue forest region Shanxi Province (in Chinese with English abstract). Journal of Beijing Forestry University. 14:164-170.

Zhai, B., Song, C., Zhang, H. and Wang, W. 1992. Studies on Biomass and productivity of Pinus Tabulaeformis plantation at a Permanent Ecosystem Plot in Taiyue forest region Shanxi Province (in Chinese with English abstract).   Journal of Beijing Forestry University. 14:156-163.