False-color composite, Valley and Ridge, south-central PA

Latest publications:


Fang, F., B. McNeil, T.A. Warner, G. Dahle and E. Eutsler, 2020. Street tree health from space? An evaluation using WorldView-3 data and the Washington D.C. Street Tree Spatial Database. Urban Forestry & Urban Greening 49: 126634. DOI: 10.1016/j.ufug.2020.126634 (Free access)


Zhou, C., H. Lan, H. Gong, Y. Zhang, T.A. Warner, J.J. Clague and Y. Wu, 2020. 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. 41(4): 1259-1285. DOI: 10.1080/01431161.2019.1662967



Remote Sensing in the Geology and Geography Department at WVU

grape juice

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:

  • The role of sample selection in affecting classification;
  • Mapping shurbland in the Eastern US; and
  • Using lidar to map butterfly habitat.
  • A list of past students is available here.

    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.