Wang, Jianmin

Ph.D. Geospatial Science & Engineering
Email: 
Jianmin.Wang@sdstate.edu

Jianmin Wang is a PhD student at GSCE started in Fall 2015. He is working with Dr. Xiaoyang Zhang. He currently focuses on the wildfire impacts on satellite derived land surface phenology. His research interests are exploring the mechanisms of environmental conditions regulating the vegetation composition and growth with the biophysical parameters of vegetation retrieved by remote sensing. Commonly used methodologies include land surface phenology (LSP) detection, data fusion, spectral mixture analysis (SMA), radiative transfer modelling, etc. Before coming to GSCE, Jianmin Wang earned his BS (major in Physics) in 2011 and ME (major in GIS) in 2014 at Beijing Normal University, Beijing, China.

 

Google Scholarhttps://scholar.google.com/citations?user=ygIEo5wAAAAJ&hl=en

Publications:

Wang, J. & Zhang X. 2017. Impacts of wildfires on interannual trends in land surface phenology: an investigation of the Hayman Fire. Environmental Research Letters, 12(5):54008.

Zhang, X., Wang, J., Gao, F., Liu, Y., Schaaf, C., Friedl, M., ... & Yan, D. (2017). Exploration of scaling effects on coarse resolution land surface phenology. Remote Sensing of Environment190, 318-330.

Wang, J., Cao, X., Chen, J., & Jia, X. (2015). Assessment of Multiple Scattering in the Reflectance of Semiarid Shrublands. IEEE Transactions on Geoscience and Remote Sensing53(9), 4910-4921.

Rao, Y., Zhu, X., Chen, J., & Wang, J. (2015). An improved method for producing high spatial-resolution NDVI time series datasets with multi-temporal MODIS NDVI data and Landsat TM/ETM+ images. Remote Sensing7(6), 7865-7891.

Cao, X., Wang, J., Chen, J., & Shi, F. (2014). Spatialization of electricity consumption of China using saturation-corrected DMSP-OLS data. International Journal of Applied Earth Observation and Geoinformation28, 193-200.

Wang, J., Lin, J., Cheng, Q., & Wang, H. (2011) Studying Dwell-Time Distributions for Kinesin's Mechanical Steps in an Asymmetric Conformational Potential with the Absorbing-Boundary Method. Acta Biophysica Sinica, 27(10), 883-889, 2011. 

 

Conference Presentations:

Wang, J. & Zhang, X. (2017). Impacts of Wildfires on Land Surface Phenology of Western US Forests, AGU Fall Meeting, New Orleans, LA, USA.

Wang, J. & Zhang, X. (2016). Impacts of Wildfires on Long-term Land Surface Phenology, AGU Fall Meeting, San Francisco, CA, USA.

Zhang, X., Jayavelu, S., Wang, J., Henebry, GM., Gray, JM., Friedl, MA., … & An, Shuai. (2016). Validation of VIIRS Land Surface Phenology using Field Observations, PhenoCam Imagery, and Landsat data. AGU Fall Meeting, San Francisco, CA, USA.

Zhang, X., Friedl, MA., Henebry, GM., Jayavelu, S., Gray, JM., Liu, Y., Schaaf, C., Wang, J. (2016) Development and Validation of a Land Surface Phenology Product from VIIRS. NASA MODIS/VIIRS Science Team Meeting, Silver Spring, MD, USA.

Wang, J., Cao, X., Chen, J., Liu, D., & Rao, Y. (2015). A quantitative assessment of multiple scattering in plant-soil mixtures and the implications on nonlinear spectral unmixing models. In Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International (pp. 1757-1760). IEEE.

Rao, Y., Chen, J., Chen, X., & Wang, J. (2013). Quantitative assessment of the different methods addressing the endmember variability. In Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International (pp. 3317-3320). IEEE.

Wang, J., Chen, J., & Wang, S. (2012). Effect of plants’ stem on canopy spectra and some vegetation indices. The 5th Japan-China-Korea Graduate Student Forum, Tsukuba, Japan.

Last modified: 
Jun 27, 2018