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Shang, Jiali, Ph.D.

Scientist

Contact Information:

960 Carling Ave
K.W Neatby
Ottawa, Ontario K1A 0C5
Telephone: 613-759-1435
Fax: 613-759-1924
Email: jiali.shang@agr.gc.ca

Research publications

2018

  • Batarseh, Feras A., and Ruixin Yang. Federal Data Science: Transforming Government and Agricultural Policy Using Artificial Intelligence. Academic Press, 2017.

2017

2016

  • Chen, X., Su, Y., Liao, J., Shang, J., Dong, T., Wang, C., Liu, W., Zhou, G., and Liu, L. (2016). "Detecting significant decreasing trends of land surface soil moisture in eastern China during the past three decades (1979-2010).", Journal of Geophysical Research: Atmospheres, 121(10). doi : 10.1002/2015JD024676
  • Dong, T., Liu, J., Qian, B., Zhao, T., Jing, Q., Geng, X.Y., Wang, J., Huffman, E.C., and Shang, J. (2016). "Estimating winter wheat biomass by assimilating leaf area index-derived from fusion of Landsat-8 and MODIS data.", International Journal of Applied Earth Observation and Geoinformation, 47(7), pp. 63-74. doi : 10.1016/j.jag.2016.02.001
  • Dong, T., Liu, J., Shang, J., Qian, B., Huffman, E.C., Zhang, Y., Champagne, C., and Daneshfar, B. (2016). "Assessing the Impact of Climate Variability on Cropland Productivity in the Canadian Prairies Using Time Series MODIS FAPAR.", Remote Sensing, 8(4: Article 281), pp. 1-18. doi : 10.3390/rs8040281
  • Huang, X.Q., Wang, J.-G, and Shang, J. (2016). "An Adaptive Two-Component Model-Based Decomposition on Soil Moisture Estimation for C-Band RADARSAT-2 Imagery Over Wheat Fields at Early Growing Stages.", IEEE Geoscience and Remote Sensing Letters, 13(3), pp. 1-5. doi : 10.1109/LGRS.2016.2517082
  • Huang, X.Q., Wang, J.-G, and Shang, J. (2016). "An Integrated Surface Parameter Inversion Scheme Over Agricultural Fields at Early Growing Stages by Means of C-Band Polarimetric RADARSAT-2 Imagery.", IEEE Transactions on Geoscience and Remote Sensing, 99, pp. 1-19. doi : 10.1109/TGRS.2015.2502600
  • Liu, J., Huffman, E.C., Shang, J., Qian, B., Dong, T., and Zhang, Y. (2016). "Identifying major crop types in Eastern Canada using a fuzzy decision tree classifier and phenological indicators derived from time series MODIS data.", Canadian Journal of Remote Sensing, 42(3), pp. 259-273. doi : 10.1080/07038992.2016.1171133
  • Liu, J., Huffman, T., Shang, J., Qian, B., Dong, T., Zhang, Y., Jing, Q. 2016. Estimation of crop yield in regions with mixed crops using different cropland masks and time-series MODIS data. IGARSS 2016, July 10-15, Beijing, China. doi:10.1109/IGARSS.2016.7730868.

2015

2014

2013

  • Chen, Z., Zhang, Y., Guindon, B., Esch, T., Roth, A., and Shang, J. (2012). "Urban land use mapping using high resolution SAR data based on density analysis and contextual information.", Canadian Journal of Remote Sensing, 38(6), pp. 738-749. doi : 10.5589/m13-002
  • Guo, L., Pei, Z., Ma, S., Sun, J., and Shang, J. (2013). "Study of rice identification during early season using multi-polarization terraSAR-X data.", 7th IFIP WG 5.14 International Conference on Computer and Computing Technologies in Agriculture (CCTA 2013), Beijing, China, September 18-20, 2013, Published in IFIP Advances in Information and Communication Technology. Volume 419, 2014, Pages 337-347.
  • Liu, Chen, Shang, J., Vachon, P.W., and McNairn, H. (2013). "Multiyear crop monitoring using polarimetric RADARSAT-2 data.", IEEE Transactions on Geoscience and Remote Sensing, 51(4), pp. 2227-2240. doi : 10.1109/TGRS.2012.2208649
  • Magagi, R., Berg, A.A., Goïta, K., Bélair, S., Jackson, T.J., Toth, B.M., Walker, A.S., McNairn, H., O'Neill, P.E., Moghaddam, M., Gherboudj, I., Colliander, A., Cosh, M.H., Burgin, M., Fisher, J.B., Kim, S.-B., Mladenova, I., Djamaï, N., Rousseau, L.-P.B., Bélanger, J., Shang, J., and Merzouki, A. (2013). "Canadian experiment for soil moisture in 2010 (CanEx-SM10): Overview and preliminary results.", IEEE Geoscience and Remote Sensing Letters, 51(1), pp. 347-363. doi : 10.1109/tgrs.2012.2198920

2012

  • Deschamps, B., McNairn, H., Shang, J., and Jiao, X. (2012). "Towards operational radar-only crop type classification: comparison of a traditional decision tree with a random forest classifier.", Canadian Journal of Remote Sensing, 38(1), pp. 60-68. doi : 10.5589/m12-012

2011

2010

  • Charbonneau, F.J., Brisco, B., Raney, R.K., McNairn, H., Liu, Chen, Vachon, P.W., Shang, J., Champagne, C., Merzouki, A., and Geldsetzer, T. (2010). "Compact polarimetry overview and applications assessment.", Canadian Journal of Remote Sensing, 36(Suppl. 2), pp. S298-S315. doi : 10.5589/m10-062

2009

  • McNairn, H., Champagne, C., Shang, J., Holmstrom, D.A., and Reichert, G. (2009). "Integration of optical and Synthetic Aperture Radar (SAR) imagery for delivering operational annual crop inventories.", ISPRS Journal of Photogrammetry and Remote Sensing, 64(5), pp. 434-449. doi : 10.1016/j.isprsjprs.2008.07.006
  • McNairn, H., Shang, J., Champagne, C., and Jiao, X. (2009). "TerraSAR-X and RADARSAT-2 for crop classification and acreage estimation.", International Geoscience and Remote Sensing Symposium (IGARSS), pp. II898-II901. doi : 10.1109/IGARSS.2009.5418243
  • McNairn, H., Shang, J., Jiao, X., and Champagne, C. (2009). "The Contribution of ALOS PALSAR Multi-polarization and Polarimetric Data to Crop Classification.", IEEE Transactions on Geoscience and Remote Sensing, 47(12, Article No. 5233805), pp. 3981-3992. doi : 10.1109/TGRS.2009.2026052
  • Shang, J., McNairn, H., Champagne, C., and Jiao, X. (2009). "Application of Multi-Frequency Synthetic Aperture Radar (SAR) in Crop Classification.", in Jedlovec, G. (ed.) - Advances in Geoscience and Remote Sensing, InTech, Open Access Publisher, Chapter 27, pp. 557-568.
  • Shang, J., McNairn, H., Champagne, C., and Jiao, X. (2009). "Application of Multi-Frequency Synthetic Aperture Radar (SAR) in Crop Classification.", in Jedlovec, G. (ed.) - Advances in Geoscience and Remote Sensing, InTech, Open Access Publisher, Chapter 27.
  • Shang, J., Morris, B., Howarth, P., Lévesque, J., Staenz, K., and Neville, B. (2009). "Mapping mine tailing surface mineralogy using hyperspectral remote sensing.", Canadian Journal of Remote Sensing, 35(Suppl. S1), pp. S126-S141. doi : 10.5589/m10-001

Other science related publications

2017

  • Budong Qian, Qi Jing, Gilles Bélanger, Jiali Shang, Ted Huffman, Jiangui Liu. 2017. Limitations of earlier seeding of canola as an adaptation measure to climate change in Canada. 2nd Agriculture and Climate Change Conference, March 26-28 2017, Stiges, Spain.
  • Lalonde, C., Liu, J., Shang, J., Huffman, T., Davidson, A., Wellisch, M. 2017. Predicting Biomass of Corn Stover using satellite Imaging in Eastern Canada. Agro-Geoinformatics 2017, Fairfax, VA, USA, August 7-10. Presentation.
  • Lalonde, C.,Wellisch, M., Liu, J.,Shang, J., Huffman, T., Davidson, A. 2017. Predicting Biomass Yields of Corn Stover using Satellite Imaging in Eastern Canada. 25th European Biomass Conference and Exhibition. Stockholm, Sweden, June 12-15, 2017. Poster.

2016

  • Budong Qian, Qi Jing, Gilles Belanger, Jiali Shang, Ted Huffman, Jiangui Liiu. 2016. Simulated responses of canola development and growth to climate change in Canada. 7th International Crop Science Congress, Beijing, 2016/08/14 - 2016/08/19
  • Herath, A., B.L. Ma, J. Shang, X. Jiao, J. Kovacs, and D. Walters. 2016. Soil mineral nitrogen supply and grain yield estimation of canola in relation to growing-season canopy reflectance measurements. Poster presentation at joint annual conference for the Canadian Society of Agronomy and the Canadian Society for Horticultural Science. Montreal, QC, Canada. Jul. 24-26.
  • Herath, A., B.L. Ma, J. Shang, X. Jiao, J. Kovacs, and D. Walters. 2016. Spatial characterization of soil mineral nitrogen, crop growth, and yield of canola as affected by nitrogen application. Poster presentation at joint annual conference for the Canadian Society of Agronomy and the Canadian Society for Horticultural Science. Montreal, QC, Canada. July 24-26.
  • Liu, j., Shang, J., Qian, B., Huffman, T., Pattey, E., Geng, X., Dong, T. 2016. “Approach to soil productivity assessment over Canada’s agricultural land using Earth observation technology”. The Fifth International Conference on Agro-Geoinformatics. July 18-20, 2016. Tianjin, China.

2015

  • Pattey, E., Jégo, G., Liu, J., Smith, W.N., VanderZaag, A.C., Desjardins, R.L., Tremblay, N., Geng, X.Y., Qiu, B., Shang, J., McNairn, H., and Jarvis, I.E. (2015). "Field-scale research to quantify the impact of climate variations on crop production and to enhance the environmental performance.", Invited Presentation at ECORC/ACGEO Agri-Environmental Science Day, Ottawa, ON, Canada, February 10, 2015. (Presentation)

2014

  • Charbonneau, F.J., Brisco, B., van der Sanden, J.J., Toutin, T., Touzi, R., Chen, H., Liu, C., McNairn, H., Shang, J., Buckley, J.R., Arkett, M., and Poitevin, J. (2014). "RCM compact polarimetry applications development overview.", Joint 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2014) and the 35th Canadian Symposium on Remote Sensing (CSRS 2014), Quebec Convention Centre, Quebec City, Canada, July 13-18, 2014.
  • Li, Y., Liu, T., McNairn, H., Shang, J., and Touzi, R. (2014). "RADARSAT-2 PolInSAR coherence optimization for agriculture crop change detection.", Joint 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2014) and the 35th Canadian Symposium on Remote Sensing (CSRS 2014), Quebec Convention Centre, Quebec City, Canada, July 13-18, 2014.
  • Liu, J., Huffman, E.C., Qian, B., Shang, J., and Dong, T. (2014). "Assessment of MODIS products for crop yield estimation in the Canadian Prairies.", 3rd International Conference on Agro-Geoinformatics, Beijing, China, August 11-14, 2014, Oral presentation.
  • Ma, B.-L., Smith, D.L., Shang, J., Whalen, J.K., Caldwell, B.C., Earl, H.J., Vanasse, A., and Scott, P. (2014). "Improving nutrient use efficiency and yield of canola in eastern Canada.", 20th World Congress of Soil Science, Jeju, South Korea, June 8-13, 2014, Presentation. (Poster)
  • McNairn, H., Powers, J., Shang, J., Merzouki, A., Pacheco, A., Fisette, T., Wiseman, G., and Homayouni, S. (2014). "RADARSAT-2 to support risk reduction for the agriculture sector.", Joint 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2014) and the 35th Canadian Symposium on Remote Sensing (CSRS 2014), Quebec Convention Centre, Quebec City, Canada, July 13-18, 2014.
  • McNairn, H., Wiseman, G., Powers, J., Merzouki, A., and Shang, J. (2014). "Assessment of disease risk in canola using multi-frequency SAR: preliminary results.", EUSAR 2014 – 10th European Conference on Synthetic Aperture Radar, Berlin, Germany, June 2-6, 2014.
  • Niazmardi, S., Homayouni, S., McNairn, H., Shang, J., and Safari, A. (2014). "Multiple kernels learning for classification of agricultural time series data.", 3rd International Conference on Agro-Geoinformatics, Beijing, China, August 11-14, 2014, Article number 6910640.
  • Shang, J., Huffman, E.C., Liu, J., Ma, B.-L., Zhao, T., Qian, B., McNairn, H., Geng, X.Y., Lantz, N., and Wang, J. (2014). "Using Earth Observation to Monitor Corn Growth in Eastern Canada.", 68th North Eastern Corn Improvement Conference, Wooster, Ohio, USA, February 13-14, 2014.
  • Shang, J., Liu, J., Huffman, E.C., Qian, B., Pattey, E., Zhao, T., Ma, B.-L., and Wang, J.M. (2014). "Estimation of crop leaf area index using Landsat-8 and Rapideye images.", 3rd International Conference on Agro-Geoinformatics, Beijing, China, August 11-14, 2014, Oral presentation.

2013

  • Shang, J., McNairn, H., Champagne, C., and Jiao, X. (2013). "Radar’s potential to estimate crop bio-physical parameters and beyond.", Remote sensing: Beyond images Workshop, Mexico City, México, December 14-15, 2014.

2012

  • Liu, T., McConkey, B.G., Kulshreshtha, S., Huffman, E.C., Green, M., Liu, J., Du, Y., and Shang, J. (2012). "Bioenergy production potential on marginal land in Canada.", 1st International Conference on Agro-Geoinformatics, Shanghai, China, August 2-4, 2012, doi: 10.1109/Agro-Geoinformatics.2012.6311729.
  • Shang, J., McNairn, H., Charbonneau, F.J., Chen, Z., and Jiao, X. (2012). "Sensitivity analysis of compact polarimetry parameters to crop growth using simulated RADARSAT-2 SAR data.", IEEE International Geoscience & Remote Sensing Symposium (IGARSS 2012), Munich, Germany, July 22-27, 2012, pp. 1825-1828.

2011

  • Guo, L., Pei, Z., Zhang, S., Wang, Q., McNairn, H., Shang, J., and Jiao, X. (2011). "Rice identification using TerraSAR-X data.", Proceedings of SPIE - The International Society for Optical Engineering, 8203(Article No. 82030J).

2010

  • Shang, J., McNairn, H., Jiao, X., and Champagne, C. (2010). "Integration of Radarsat-2, Terrasar-X and Alos Palsar Data for In-Season Crop Acreage Estimates: A Canadian Example.", IEEE International Geoscience & Remote Sensing Symposium (IGARSS 2010), Honolulu, HI, USA, July 25-30, 2010, Section: TH4.L09.

2009

  • Jiao, X., McNairn, H., Pattey, E., Shang, J., and Champagne, C. (2009). "The sensitivity of RADARSAT-2 quad-polarization SAR data to crop LAI.", SPIE Remote Sensing and Modeling of Ecosystems for Sustainability VI, San Diego Convention Center, San Diego, CA, USA, August 5-6, 2009, Vol. 7454, Article No. 7454-23.
  • Liu, J., Pattey, E., Shang, J., Admiral, S., Jégo, G., McNairn, H., Smith, A., Hu, B., Zhang, F., and Freemantle, J. (2009). "Quantifying Crop Biomass Accumulation Using Multi-temporal Optical Remote Sensing Observations.", 30th Canadian Symposium on Remote Sensing / 30e Symposium canadien sur la télédétection, Lethbridge, AB, Canada, June 22-25, 2009, 14 pages.
  • Shang, J., McNairn, H., Champagne, C., Jiao, X., and Geng, X. (2009). "Integration of RadarSAT-2 ScanSAR and AWiFS for operational agricultural land use monitoring over the Canadian Prairies.", IEEE International Geoscience & Remote Sensing Symposium (IGARSS 2009), Capetown, South Africa, July 12-17, 2009, Vol. 4, Article number 5417496, pp. IV793-IV796.
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