Dr. Chunhua Zhang

GEOG1026--Introduction to the Physical Environment 

GEOG 2016--Digital Earth 

GEOG 2996--The Great Lakes: Resources, People, and the Environment

GEOG 3037--Remote Sensing of the Environment 

GEOG 3076--Advanced Geographic Information Systems 

GEOG 3106-- Climatology: The Context for Climate Change 

GEOG 4006--Geographic Information System Research Project 

GEOG 4296--Impact Assessment and Environmental Management

Zhang, C., Wang, K., Yue, Y., Qi, X., Zhang, M. 2023. Assessing Regional Ecosystem Conditions Using Geospatial Techniques—A Review. Sensors, 23(8):4101. (https://doi.org/10.3390/s23084101)

Chang, J., Yue, Y., Tong, X., Brandt, M., Zhang, C., Zhang, X., Qi, X., Wang, K. 2023. Rural outmigration generates a carbon sink in South China karst. Progress in Physical Geography: Earth and Environment (10.1177/03091333231154177)

Zhang, M., Liu, H., Wang, K., Chen, Y., Ren, Y., Yue, Y., Deng, Z., Zhang, C. (2023). Nonlinear trends of vegetation changes in different geomorphologic zones and land use types of the Yangtze River basin, China. Land Degradation & Development, 34: 2548–2559. (https://doi.org/10.1002/ldr.4627)

Qi, X., Li, Q., Yue, Y., Liao, C., Zhai, L., Zhang, X., Wang, K., Zhang, C., Zhang, M., Xiong, Y. 2021. Rural–urban migration and conservation drive the ecosystem services improvement in China Karst: A case study of HuanJiang County, Guangxi. Remote Sensing, 13, 566 (https://doi.org/10.3390/rs13040566 )

Wang, K., Zhang, C., Chen, H., Yue, Y., Zhang, W., Zhang, M., Qi, X., Fu, Z. 2019. Karst landscapes of China: pattern, ecosystem processes, and ecosystem services. Landscape Ecology, 34(3): 2743–2763 (https://doi.org/10.1007/s10980-019-00912-w)  

Zhang, C., Walters, D, & Kovacs, J.M. In press. 2019. The use of small unmanned aerial systems (UASs) in precision agriculture. In Stafford, J. Precision Agriculture for Sustainability. Cambridge, UK: Burleigh Dodds Science Publishing , pp 107-128 Link

Qi, X., Zhang, C., He, Y., & Wang, K. (2018). Fraction Vegetation Cover Extraction Using High Spatial Resolution Imagery in Karst Areas. In He, Y. & Weng, Q. High Spatial Resolution Remote Sensing. Boca Raton, Florida, United States: CRC Press, pp. 347-359 Link

 Qi, X., Zhang, C., Wang, K. 2017. Comparing remote sensing methods for rocky desertification monitoring at sub-pixel level in a highly heterogeneous karst region. Scientific Reports 9: 13368 Link 

Zhang, C., Qi, X., Wang, K., Zhang, M., Yue, Y. 2017. The application of geospatial techniques in monitoring karst vegetation recovery in southwest China - a review. Progress in Physical Geography, 41: 450-477 (doi: 10.1177/0309133317714246)  

Tong, X., Wang, K., Yue, Y., Brandt, M., Liu, B., Zhang, C., Liao, C., Fensholt, R. 2017. Quantifying the effectiveness of ecological restoration projects on long term vegetation dynamics in the karst regions of Southwest China. International Journal of Applied Earth Observation & Geoinformation, 54: 105–113 (doi: 10.1016/j.jag.2016.09.013)

 Flores-de-Santiago, F., Kovacs, J.M., Wang, J., Flores-Verdugo, F., Zhang, C., & González-Farías, F. 2016. Examining the influence of seasonality,
condition, and species composition on mangrove leaf pigment contents and laboratory based spectroscopy data. Remote Sensing, 8: 226.
(doi: 10.3390/rs8030226)

Wang, J., Wang, K., Zhang, M., Zhang, C. 2015. Impacts of climate change and human activities on vegetation cover in hilly southern China. Ecological
Engineering, 81:451-461. (doi: 10.1016/j.ecoleng.2015.04.022)

 Zhang, C., Kovacs, J.M., Liu, Y., Flores-Verdugo, F., & Flores-de-Santiago, F. 2014. Separating mangrove species and conditions using laboratory hyperspectral data: a case study of a degraded mangrove forest of the Mexican Pacific. Remote Sensing, 6: 11673-11688 (doi: 10.3390/rs61211673)  

Zhang, C., Walters, D, & Kovacs, J.M. 2014. Applications of low altitude remote sensing in agriculture upon farmers' requests - a case study in Northeastern Ontario, Canada. PLoS ONE, 9: e112894 (doi: 10.1371/journal.pone.0112894) 

Qi, X., Wang, K., Zhang, C., Chen, H., & Zhang, W. 2014. Effects of the implementation of ecological restoration policies on soil organic carbon storage in a discontinuous soil region. Acta Agriculture Scandinavica, Section B – Plant Soil Science, 64: 97-108 (doi: 10.1080/09064710.2013.865780) 

Wilson, J.H., Zhang, C., & Kovacs, J.M. 2014. Separating crop species in Northeastern Ontario using hyperspectral data. Remote Sensing, 6: 925-945 (doi: 10.3390/rs6020925) 

Kovacs, J.M., Jia, X., Flores-de-Santiago, F., Zhang, C., & Flores-Verdugo, F. 2013. Assessing relationships between Radarsat-2 C-band and structural parameters of a degraded mangrove forest. International Journal of Remote Sensing, 34: 7002-7019 (doi: 10.1080/01431161.2013.813090) 

Quan, C., Han, S., Utescher, T., Zhang, C., & Liu, Y.S. 2013. Validation of temperature–precipitation based aridity index: Paleoclimatic implications. Palaeogeography, Palaeoclimatology, Palaeoecology, 386: 86-95 (doi:10.1016/j.palaeo.2013.05.008) 

Kovacs, J.M., Lu, X.X., Flores-de-Santiago, F., Zhang, C., Flores-Verdugo, F., & Jiao, X. 2013. Applications of ALOS PALSAR for monitoring biophysical parameters of a degraded black mangrove (Avicennia germinans) forest. ISPRS Journal of Photogrammetry and Remote Sensing, 82: 102-111 (doi:10.1016/j.isprsjprs.2013.05.004) 

Qi, X., Wang, K., & Zhang, C. 2013. Effectiveness of ecological restoration projects in a karst region of southwest China assessed using vegetation succession mapping. Ecological Engineering, 54: 245-253 (doi: 10.1016/j.ecoleng.2013.01.002)

 Zhang, C., Kovacs, J.M., Wachowiak, M.P., & Flores-Verdugo, F. 2013. Relationship between hyperspectral measurements and mangrove leaf nitrogen concentrations. Remote Sensing, 5: 891-908 (doi: 10.3390/rs5020891)  

Zhang, C. & Kovacs, J.M. 2012. The application of small unmanned aerial systems for precision agriculture: A review. Precision Agriculture, 13: 693-712 (doi: 10.1007/s11119-012-9274-5)  

Zhang, C., Liu, Y., Kovacs, J.M., Flores-Verdugo, F., Flores-Santiago, F., & Chen, K. 2012. Spectral response to varying levels of leaf pigments collected from a degraded mangrove forest. Journal of Applied Remote Sensing, 6 (063501): 1-14 (doi: 10.1117/1.JRS.6.063501)

Chen, K., Gunter, C., & Zhang, C. 2012. How global is U.S. Major League Baseball? A geographic perspective. GeoJournal, 77: 429-444 (doi: 10.1007/s10708-011-9406-x)

 Kovacs, J. M., Liu, Y., Zhang, C., Flores-Verdugo., F., & Flores-Sandiago, F. 2011. A field based statistical approach for validating a remotely sensed mangrove forest classification scheme of Isla La Palma, Sinaloa, Mexico. Wetlands Ecology and Management, 19: 409-421 (doi: 10.1007/s11273-011-9225-3) 

Zhang, M., Zhang, C., Wang, K., Liu, H., Yue, Y., Qi, X., & Fan, F. 2011. Spatiotemporal variations of Karst ecosystem service values in Northwest Guangxi, China. Environmental Management, 49: 933-944 (doi: 10.1007/s00267-011-9735-z) 

Yang, Q., Wang, K., Zhang, C., Yue, Y., Tian, R., & Fan, F. 2011. Spatio-temporal evolution of rocky desertification and its driving forces in karst area of Northwest Guangxi, China. Environmental Earth Science, 64: 383-393 (doi: 10.1007/s12665-010-0861-3) 

Zhang, M., Wang, K., Zhang, C., Chen, H., Liu, H., Luffman, I., & Qi, X. 2011. Using the radial basis function network model to assess rocky desertification in Northwest Guangxi, China. Environmental Earth Science, 64: 69-76 (doi: 10.1007/s12665-010- 0498-2) 

Kovacs, J.M., Zhang, C., & Flores, F. 2008. Mapping coastal wetland using C-band ENVISAT ASAR and Landsat optical data. Ciencias Marina, 34: 407-418  

Zhang, C. & Guo, X. 2008. Monitoring northern mixed grassland health using broadband satellite imagery. International Journal of Remote Sensing, 29: 2257-2271 (doi: 10.1080/01431160701408378)  

Zhang, C., Guo, X., & Wilmshurst, J. 2008. Monitoring temporal heterogeneity in a protected mixed grassland ecosystem using 10-day NDVI composite. Prairie Forum, 33: 145-166 

Chen, K., Kennedy, J.,Kovacs, J.M., & Zhang, C. 2007. A spatial perspective for predicting enrollment in a regional pharmacy school. GeoJournal, 70:133-143 Link  

Zhang, C. & Guo, X. 2007. Measuring biological heterogeneity in the northern mixed grassland: A remote sensing approach. The Canadian  Geographer, 51: 462-474 Link  

Zhang, C., Guo, X., Wilmshurst, J., & Sissons, R. 2006. Application of Radarsat imagery to grassland biophysical heterogeneity assessment. Canadian Journal of Remote Sensing, 32: 281-287. Link