Li, W., D. Li, S. Liu, F. Baret, Z. Ma, C. He, T.A. Warner, C. Guo, T. Cheng, Y. Zhu, W. Cao and X. Yao, 2023. RSARE: A physically-based vegetation index for estimating wheat green LAI to mitigate the impact of leaf chlorophyll content and residue-soil background. ISPRS Journal of Photogrammetry and Remote Sensing 200, 138-152. DOI: 10.1016/j.isprsjprs.2023.05.012
Ma, Z., W. Li, T.A. Warner, C. He, X. Wang, Y. Zhang, C. Guo, T. Cheng, Y. Zhu, W. Cao and X. Yao, 2023. A framework combined stacking ensemble algorithm to classify crop in complex agricultural landscape of high altitude regions with Gaofen-6 imagery and elevation data. International Journal of Applied Earth Observation and Geoinformation 122, 103386. DOI: 10.1016/j.jag.2023.103386
Wang, K., J. Zhu, X. Xu, T. Li, X. Wang, T. A. Warner, T. Cheng, Y. Zhu, W. Cao, X. Yao, Z. Zhang, 2023. Quantitative monitoring of salt stress in rice with solar-induced chlorophyll fluorescence. European Journal of Agronomy 150, 126954. DOI: 10.1016/j.eja.2023.126954
Yin, Y., J. Zhu, X. Xu, M. Jia, T. A. Warner, X. Wang, T. Li, T. Cheng, Y. Zhu, W. Cao, and X. Yao, 2023. Tracing the nitrogen nutrient status of crop based on solar-induced chlorophyll fluorescence. European Journal of Agronomy 149, 126924. DOI: 10.1016/j.eja.2023.126924
Zhu, J., Y. Yin, J. Lu, T. A. Warner, X. Xu, M. Lyu, X. Wang, C. Guo, T. Cheng, Y. Zhu, W. Cao, X. Yao, Y. Zhang, L. Liu, 2023. The relationship between wheat yield and sun-induced chlorophyll fluorescence from continuous measurements over the growing season. Remote Sensing of Environment 298, 113791. DOI: 10.1016/j.rse.2023.113791
Remote Sensing in the Geology and Geography Department at WVU
Remote sensing is an exciting field of study, especially with the current interest in lidar, high spatial resolution imagery, and object-oriented analysis. In the Department of Geology and Geography at WVU, remote sensing is part of a core emphasis on Geographic Information Science (GISc).
My research interests include the spatial properties of remotely sensed images, lidar, high spatial resolution imagery, thermal imagery, machine learning classification, wildfire mapping, and information literacy. I have a particular interest in the use of remote sensing for promoting transparency and non-proliferation. A list of past students is available here.
The Cooperative Ecosystems Studies Units (CESU) highlighted training in remote sensing that I periodically help provide to the US Natural Resources Conservation Service (NRCS).
I occasionally run workshops on how to write and publish remote sensing papers.