Gaertner, B., N. Zegre, T.A. Warner, R. Fernandez; Y. He, and E. Merriam, 2019. Contribution of Growing Season Length to Water Cycle Intensification: Implications for Long Term Forest Evapotranspiration in the central Appalachian Mountains, USA. Science of the Total Environment 650: 1371-1381. DOI: 10.1016/j.scitotenv.2018.09.129
Li, J., T.A. Warner, Y. Wang; J. Bai; and A. Bao, 2019. Mapping Glacial Lakes Partially Obscured by Mountain Shadow for Time Series and Regional Mapping Applications. International Journal of Remote Sensing, DOI: 10.1080/01431161.2018.1433343
Maxwell, A.E., M.P. Strager, T.A. Warner, C.A. Ramezan, A.N. Morgan, and C.E. Pauley, 2019. Large-Area, High Spatial Resolution Land Cover Mapping using Random Forests, GEOBIA, and NAIP Orthophotography: Findings and Recommendations. Remote Sensing 11, 1409. DOI: 10.3390/rs11121409
Maxwell, A., and T.A. Warner, 2019. Is high spatial resolution DEM data necessary for mapping palustrine wetlands? International Journal of Remote Sensing. 40(1): 118-137. DOI: 10.1080/01431161.2018.1506184
Ramezan, C.A., T.A Warner and A.E. Maxwell, 2019. Evaluation of Sampling and Cross-Validation Tuning Strategies for Regional-Scale Machine Learning Classification. Remote Sensing 11, 185. DOI: 10.3390/rs11020185
Warner, T. A., 2019. How to write an effective peer-review report: an editor’s perspective. International Journal of Remote Sensing. 40(13): 4871-4875. DOI: 10.1080/01431161.2019.1596342
Zhou, C., H. Lan, H. Gong, Y. Zhang, T.A. Warner, J.J. Clague and Y. Wu, 2019. Reduced rate of land subsidence since 2016 in Beijing, China: evidence from Tomo-PSInSAR using RadarSAT-2 and Sentinel-1 datasets. International Journal of Remote Sensing. 40(13): 4871-4875. DOI: 10.1080/01431161.2019.1662967
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
My students are working on:
Recently 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.