Yuhong He , Associate Professor


Home Campus:
U o f T Mississauga

University of Saskatchewan (2008)

Other Degrees:
MSc Nanjing Institute of Meteorology, China (2002)
BSc Nanjing Institute of Meteorology, China (1999)

Cross Appointments:
Graduate Department of Physical & Environmental Sciences, University of Toronto Scarborough (UTSC)
Centre for Global Change Science, University of Toronto

Honours & Awards:
Early researcher award, Ministry of Research and Innovation - Ontario, 2015
Early Career Award, Remote Sensing Specialty Group, American Association of Geographers 2011 annual meeting

Contact Information:

Phone:    (905) 569-4679
Location:  DV3271 (UTM)
Downtown Office: SSH5023 (100 St. George Street)
Email:     yuhong.he@utoronto.ca

Personal Website: http://sites.utm.utoronto.ca/yuhong

Research Interests:

  • Remote sensing
  • Advanced spatial analysis
  • Invasive and endangered species detection and mapping
  • Grassland productivity modelling
  • Critical Wetland habitat monitoring for the endangered species
  • Climate Change

Teaching This Academic Year:

GGR276 – Spatial Data Analysis and Mapping (UTM)

GGR335H5F – GIS and Remote Sensing Integration (UTM)

GGR372H5S – Geographical Analysis of Land Resources (UTM)

GGR1200H5F – Physical Geography Core Course (UTSG with UTM&UTSC tours)


Selected Publications:

Refereed Articles

(HQP’s names in bold)

Lu, B., Y. He. 2017. Species classification using Unmanned Aerial Vehicle (UAV)-acquired high spatial resolution imagery in a heterogeneous grassland. ISPRS Journal of Photogrammetry and Remote Sensing. 128: 73-85. (5-year IF: 5.062)

Yang, J., Y. He, and J. Caspersen. 2017. Region merging using local spectral angle thresholds: a more accurate method for hybrid segmentation of remote sensing images. Remote Sensing of Environment. 192: 137-148. (5-year IF: 7.388)

Tong, A., and Y. He. 2017. Estimating and mapping chlorophyll content for a heterogeneous grassland: Comparing prediction power of a suite of vegetation indices across scales between years. ISPRS P&RS. 126: 146-167. (5-year IF: 5.062)

Yang, J., and Y. He. 2017. Automated mapping of impervious surfaces in urban and suburban areas: linear spectral unmixing of high spatial resolution imagery. International Journal of Applied Earth Observation & Geoinformation. 54: 53-64. (5-Year IF: 3.904)

Mui, A., B. Caverhill, M.J- Fortin, B. Johnson, and Y. He. 2017. Using multiple metrics to estimate seasonal landscape connectivity for Blanding’s turtles (Emydoidea blandingii) in a fragmented landscape. Landscape Ecology. 43: 531-546. (IF: 3.657)

Yang, J., Y. He, J. Caspersen, and T. Jones. 2016. Delineating individual tree crowns using multi-spectral watershed segmentation and multi-scale fitting. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 99: 1-12. (IF: 2.145)

Murfitt, J., Y. He, A. Mui, J. Yang, and K. Demille. 2016. Ash decline assessment in Emerald Ash Borer infested natural forests using high spatial resolution images. Remote Sensing; 8(3), 256; doi:10.3390/rs8030256. (IF: 3.180)

Xu, J., Y. Zheng, Y. He, and R. Wu. 2016. The effect of elevated ozone concentrations with varying shading on dry matter loss in a winter wheat-producing region in China. PLOS ONE; 11(1):e0145446. doi: 10.1371/journal.pone.0145446. (IF: 3.234)

Yang, J., T. Jones, J. Caspersen, and Y. He. 2015. Object-based canopy gap segmentation and classification: quantifying the pros and cons of integrating optical and LiDAR data. Remote Sensing; 7 (12): 15917-15932. (IF: 3.180)

Mui, A., C.B. Edge, J. Paterson, B. Caverhill, B. Johnson, J.D. Litzgus, and Y. He. 2015. Nesting sites in agricultural landscapes are potential sinks for turtle populations. Canadian Journal of Zoology; Published on the web 18 November 2015, 10.1139/cjz-2015-0154. (IF: 1.303)

Lu, B., Y. He, and A. Tong. 2015. Evaluation of spectral indices for estimating burn severity in semi-arid grasslands. International Journal of Wildland Fire; Published on the web 1 December 2015, http://dx.doi.org/10.1071/WF15098. ( IF: 2.506)

Mui, A., Y. He, and Q. Weng. 2015. An object-based approach to delineate wetlands across landscapes of varied disturbance with high spatial resolution satellite imagery. ISPRS P&RS; 109: 30-46. (5-Year IF: 4.652)

He, Y., Z. Ma, X. Guo. 2015. Grassland productivity simulation: integrating remote sensing and an ecosystem process model. In Li J. and Yang X. (eds): Monitoring and Modeling of Global Changes: A Geomatics Perspective, Springer Remote Sensing/Photogrammetry, DOI 10.1007/978-94-017-9813-6_8.

Yang, J., Y. He, and Q. Weng. 2015. An automated method to parameterize segmentation scale by enhancing intra-segment homogeneity and inter-segment heterogeneity. IEEE Geoscience and Remote Sensing Letters; 12(6): 1282-1286. (5-Year IF: 1.98)

Yang, J., Y. He, J. Caspersen, and T. Jones. 2015. A discrepancy measure for segmentation evaluation from the perspective of object recognitionISPRS Journal of Photogrammetry and Remote Sensing101: 186-192. (5-Year IF: 4.202)

Yang, J., Y. He, and J. Caspersen. 2015. Fully constrained linear spectral unmixing based global shadow compensation for high resolution satellite imagery of urban areasInternational Journal of Applied Earth Observation and Geoinformation; 38: 88-98. (5-Year IF: 2.809)

Tong, A., and Y. He. 2014. Remote sensing of grassland chlorophyll content: Assessing the spatial-temporal performance of spectral indices. IGARSS 2014, Quebec, Canada (IEEE: EI).

Yang, J., Y. He, J. Caspersen, and T. Jones. 2014. A multi-band watershed segmentation method for individual tree crown delineation from high spatial resolution multispectral aerial imageIGARSS 2014, Quebec, Canada (IEEE: EI).

Lu, B., and Y. He. 2014. Analyzing a North American prairie wildfire using remote sensing imagery. IGARSS 2014, Quebec, Canada (IEEE: EI).

He, Y. 2014. The effect of precipitation on vegetation cover over three landscape units in a protected semi-arid grassland: temporal dynamics and suitable climatic index. Journal of Arid Environments; 109:74-82. (5-Year IF: 2.120)

He, Y. 2014. The relationship between an invasive shrub and soil moisture: seasonal interactions and spatially covarying relations. ISPRS Int. J. Geo-Inf. 3: 1139-1153.

Yang, J., P. Li, and Y. He. 2014. A multi-band approach to unsupervised scale parameter selection for multi-scale image segmentation. ISPRS Journal of Photogrammetry and Remote Sensing; 94:13-24. (5-Year IF: 4.202)

Yang, J., Y. He, and T. Oguchi. 2014. An endmember optimization approach for linear spectral unmixing of fine-scale urban imagery. International Journal of Applied Earth Observation and Geoinformation; 27: 137-146. (5-Year IF: 2.809)

Proctor, C, and Y. He. 2013. Estimation of foliar pigment concentration in floating Macrophytes using hyperspectral vegetation indices. International Journal of Remote Sensing. 34(22): 8011-8027. (5-Year IF: 1.67)

He, Y. 2013. Estimating grassland chlorophyll content from leaf to landscape level: bridging the gap in spatial scales. In Q. Weng (ed.) Scale Issues in Remote Sensing. John Wiley and Sons. Pg 127-138.

Jiang, X., B. Lu, and Y. He. 2013. Response of the turbidity maximum zone to fluctuations of sediment discharge from river to estuary in the Changjiang Estuary (China). Journal of Estuarine, Coastal and Shelf Science. 131: 24-30. (5-Year IF: 2.804)

Wong, K. and Y. He. 2013. Estimating grassland chlorophyll content using remote sensing data at the species, canopy, and landscape scales. Canadian Journal of Remote Sensing, 39(2): 155-166. (5-Year IF: 1.27)

Proctor, C., Y. He, and V. Robinson. 2013. Texture augmented detection of Macrophyte species using Decision Trees. ISPRS Journal of Photogrammetry and Remote Sensing. 80, 10-20. (5-Year IF: 4.026)

Tong, A., and Y. He, 2013. Remote sensing of leaf area index in a mixed grassland ecosystem: comparing SPOT, Landsat, MODIS, and AVHRR data. Journal of Applied Remote Sensing. 7 (1), 073599; doi: 10.1117/1.JRS.7.073599. (5-Year IF: 1.33)

Shen, L., Y. He, and X. Guo. 2013. Suitability of the normalized difference vegetation index and the adjusted transformed soil-adjusted vegetation index for spatially characterizing Loggerhead Shrike habitats in North American mixed prairie. Journal of Applied Remote sensing. 7 (1), 073574; doi: 10.1117/1.JRS.7.073574. (5-Year IF: 1.33)

Shen, L., Y. He, and X. Guo, 2013. Exploration of loggerhead shrike habitats in Grassland National Park based on in situ measurements and satellite-derived adjusted transformed soil-adjusted vegetation index. Remote sensing. 5: 452-453. (5-Year IF: 2.171)

He, Y., P. Dixon, J.F. Wilmshurst, and X. Guo.  2012. AVHRR NDVI baseline for natural vegetation ecosystems in Northern Canadian national parks. J Geophys Remote Sensing 1:103. doi:10.4172/jgrs.1000103.

He, Y., A. Khan, and A. Mui. 2012. Integrating remote sensing and wavelet analysis for studying fine-scaled vegetation spatial variation among three different ecosystems, Photogrammetric Engineering & Remote Sensing. 78(2): 161–168. (AAG REMOTE SENSING SPECIALTY GROUP 2010 Early Career Award Winner). (5-Year IF: 2.04)

Proctor, C., V. Robinson, and Y. He. 2012. Multispectral detection of European Frog-bit in the South Nation River using Quickbird imagery. Canadian Journal of Remote Sensing, 38(4): 1-11. (5-Year IF: 1.27)

He, Y., X. Guo, P., Dixon, and J. Wilmshurst. 2012. NDVI variation and its relations to climate in Canadian Ecozones. The Canadian Geographer. 56(4): 492-507.

Banerjee, S., Y. He, X. Guo, and B.C. Si. 2011. Spatial relationships between leaf area index and topographic factors in a semiarid grassland. Australian Journal of Crop Science. 5(6):756-763.

Franklin, S.E., Y. He, A.D. Pape, X. Guo and G.J. McDermid. 2011. Landsat-comparable land cover maps using ASTER and SPOT images: a case study for large-area mapping programmes. International Journal of Remote Sensing. 32(8): 2185-2205.

Guo, X., S. Black and Y. He. 2011. Estimation of leaf CO2 exchange rates using a SPOT image. International Journal of Remote Sensing. 32(2), 353-366.

He, Y., and A. Mui. 2010. Scaling up semi-arid grassland biochemical content from the leaf to the canopy level: challenges and opportunities. Sensors. 10: 11072-11087; doi:10.3390/s101211072. (5-Year IF: 2.395)

He, Y., S.E. Franklin, X. Guo, and G.B. Stenhouse. 2010. Object-oriented classification of multi-resolution images for the extraction of narrow linear forest disturbance. Remote Sensing Letters, 2(2): 147-155.

He, Y., S.E. Franklin, X. Guo, and G.B. Stenhouse. 2009. Narrow-linear and small-area forest disturbance detection and mapping from high spatial resolution Imagery. Journal of Applied Remote Sensing, 3:033570.

He, Y., X. Guo, and J. Wilmshurst. 2009. Reflectance measures of grassland biophysical structure. International Journal of Remote Sensing. 30 (10): 2509-2521.

Wang, K., S.E. Franklin, X. Guo, Y. He and G. J. McDermid. 2009. Problems in remote sensing of landscapes and habitats. Progress in Physical Geography. 33 (6): 747-768.

Dixon, P., Y. He, and X. Guo. 2008. Satellite monitoring of Northern ecosystems. Geomatica. 62 (2):151-158.

Guo, X., and Y. He. 2008. Mismatch of band sequence between image and header file: a potential error in SPOT L1A Products. Canadian Journal of Remote Sensing. 34(1): 1-4.

He, Y., X. Guo, and B.C. Si. 2007. Detecting grassland spatial variation by a wavelet approach. International Journal of Remote Sensing. 28 (7): 1527 – 1545.

He, Y., X. Guo, and J. Wilmshurst. 2007. Comparison of different methods for measuring LAI in a mixed grassland. Canadian Journal of Plant Science. 87: 803-813.

He, Y., X. Guo, and J. Wilmshurst. 2006. Studying mixed grassland ecosystems II: optimum pixel size. Canadian Journal of Remote Sensing. 32(2): 108-115.

He, Y., X. Guo, and J. Wilmshurst. 2006. Studying mixed grassland ecosystems I: suitable hyperspectral vegetation indices. Canadian Journal of Remote Sensing. 32(2): 98-107.

Li, Z., X. Guo, P. Dixon, and Y. He. 2008. Applicability of land surface temperature (LST) estimates from AVHRR satellite image composites in northern Canada. Prairie Perspectives. 11:119-130.

He, Y., and X., Guo. 2006. Leaf Area Index Estimation Using Remotely Sensed Data in a Mixed Grassland Ecosystem. Prairie Perspectives. 9(1):105-117.

He, Y., X., Guo, and Y. Zheng. 2005. Impact of Climate Change with Enhanced UV-B Radiation on Chinese Agricultural NPP. Prairie Perspectives. 8:50-60.


Research Clusters:
Climate Processes and Climate and Carbon Cycle Modelling, Earth-Surface Processes and Hydrology, Nature, Society and Environmental Change