Yanli Zhang Ph.D.
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  1. Co-PI, Water quality effects of urban riparian vegetation restoration, Natural Resources Conservation Service (NRCS), East Texas Plant Material Center, $47,118.5, 1.2013-12.2014 (under review)
  2. Co-PI, Surface water pollution control with stormwater management rain gardens, Stephen F. Austin State University, $13,000, 9.2012-8.2013.
  3. Co-PI, Developing a Large Woody Debris Budget for the Lower San Antonio River, Texas, Sponsored by Texas Water Development Board, State, $50,000 (January 2011 - September 2013).
  4. PI, Geospatial Modeling of the impact of forest change on water resources in East Texas, 2011-2015, $179,965, funded by USDA, Forest Service
  5. PI, Watershed Modeling to study the impacts of forest biomass harvesting on water resources in East Texas, Stephen F. Austin State University, $22,384, 9.2010-8.2011.
  6. PI, Development and validation of a GIS algorithm to assess reservoir topography and volume, CRA, Inc. $1000, 9.2009-6.2010
  7. PI, Spatial analysis of the impact of land cover change on water resources in Southern Region, USFS, $10,000, 6.2009 – 12.2010
  8. PI, Development of an ArcGIS extension: Urban Watershed Management Assistance (UWMA), City of Cedar Falls, $10,000, 6.2009 – 1.2010
  9. Co-PI, Iowa LiDAR Web-Portal Project, Iowa DOT/DNR, $44,200, 03/2008-12/2009 http://geotree2.geog.uni.edu/lidar/


  1. Web-based Watershed Management Priority Index (WMPI), GeoTREE, UNI
  2. LiDAR data analysis tool (GeoLiTE) (2007), GeoTREE, UNI http://www.geotree.uni.edu/GeoLITE.aspx
  3. Crowdsourcing with ArcGIS Online to collect the infestation of giant salvinia

Giant Salvinia




  • Zhang, Y., M.W. McBroom, B.P. Oswald, and W. Conway. 2014. Visual Traverse: an open source Python program to assess, post-process and visualize polygon data.  J. of Surveying Engineering, under review
  • Kulhavy, D.L., D.R. Unger, Y. Zhang, P. Bedford, and I. Hung. 2014.  Comparing remotely sensed Pictometry web based slope distance estimates with In Situ total station and tape slope distance estimates.  Applied Remote Sensing, under review
  • Unger, D.R., I. Hung, Y. Zhang, and D.L. Kulhavy. 2014. Evaluating GPS effectiveness for natural resource professionals: integrating undergraduate students in the decision making process. J. of Studies in Education. 4(4): 30-44 DOI: 10.5296/jse.v4i4.6389
  • McBroom, M.W., M. Ringer, and Y. Zhang.  2014.  In stream woody debris and riparian forest characteristics in the Sabine River, Texas.  Southeastern Naturalist, 13(5): 1-14
  • Unger, D.R., D.L. Kulhavy, I. Hung, and Y. Zhang. 2014. Quantifying natural resources using field-based instruction and hand-on applications. J. of Studies in Education, 4(2):1-14
  • Zhang, Y., H. Li, M. McBroom and S. Bullard. 2013. A spatial analysis of the forestry industry in East Texas, Annals of GIS, 19(3): 187-193 DOI: 10.1080/19475683.2013.806357
  • Unger, D.R, I. Hung ,Y. Zhang, J. Parker, D. Kulhavy, and D. Coble. 2013. Accuracy assessment of perimeter and area calculations using consumer-grade Global Positioning Systems (GPS) units in southern forests. Southern J. of Applied Forestry, 37(4): 208-215
  • McBroom, M.W., T.N. Thomas, and Y. Zhang. 2012. Soil erosion and surface water quality impacts of natural gas development in east Texas, USA. Water, 4(4):944-958 DOI:10.3390/w4040944
  • DeGroote P. J., S.R. Larson, Y. Zhang, R. Sugumaran. 2012. Application of geospatial technologies for understanding and predicting vector populations and vector-borne disease incidence, Geography Compass, 6(11): 645-659 DOI: 10.1111/gec3.12003
  • Zhang, Y., R. Sugumaran, M. McBroom, J. DeGroote, R. Kauten, and P. K. Barten. 2011. Web-based spatial decision support system and watershed management with a case study. International J. of Geosciences. 2(3):195-203. DOI: 10.4236/ijg.2011.23021
  • Zhang, Y., N.T. Woodward, D. Unger, I. Hung, B.P. Oswald, and K.W. Farrish. 2011. A GIS tool for plant Spatial pattern analysis, Environmental Modeling and Software 26(10): 1251-1254, DOI: 10.1016/j.envsoft.2011.05.005
  • Zhang, Y., J. DeGroote, C. Wolter, R. Sugumaran. 2009. Integration of Modified Universal Soil Loss Equation (MUSLE) into a GIS Framework to assess soil erosion risk. Land Degradation & Development, 20: 84-91 DOI: 10.1002/ldr.893
  • Zhang, Y. and P.K. Barten. 2009. Watershed Forest Management Information System (WFMIS), Environmental Modeling and Software, 24(4):569-575 DOI: 10.1016/j.envsoft.2008.10.006
  • Zhang, Y., P. K. Barten, R. Sugumaran, J. DeGroote, 2008, Evaluating Forest Harvesting to Reduce its Hydrologic Impact with a Spatial Decision Support System. Applied GIS, 4(1): 1-1





Last updated: Feb. 12, 2015

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