MSc Shailesh Shrestha

MSc Shailesh Shrestha

Shailesh Shrestha, MSc in Photogrammetry and Geoinformatics from the University of Applied Sciences, Stuttgart (Germany). He is a GIONET Early Stage Researcher working on “Monitoring of land cover or land use changes using HR satellite images”. Shaliesh’s research interest is focused on Land use and Land Cover (LULC) monitoring in regional as well as global scale using moderate to high resolution remote sensing imagery, change detection, object based classification, object based classification using very high resolution remote sensing imagery in an urban environment, LiDAR processing for varying purpose specifically in an urban environment for the purpose of building detection, image processing in MATLAB, Hyperspectral image analysis and GIS.


Recent publications:

  • Shrestha, S., Bochenek, Z., & Smith, S., 2014. ”Object oriented contextual rule based classification and change detection in an urban area with high rise buildings”. GEOBIA 2014 Advancements, trends and challenges, 5th Geographic Object-Based Image Analysis Conference , South-Eastern European Journal of Earth Observation and Geomatics , Vol 3, No 2S, 21-24 May, Thessaloniki, Greece.
  • Shrestha, S., Bochenek, Z., & Smith, S., 2012. ”ARTIFICIAL NEURALNETWORK (ANN) BEYOND COTS REMOTE SENSING PACKAGES: IMPLEMENTATION OFEXTREME LEARNING MACHINE (ELM) IN MATLAB”. In Proceedings of the IGARSS 2012, 22-27 July 2012, Munich, Germany
  • Shrestha, S., Bochenek, Z., & Smith, S., 2012. ”A comparison of supervised classification techniques for landcover classification for the Warsaw region using SPOT 4 imagery”. In Proceedings of the Sentinel-2 Preparatory Symposium, 23-27 April 2012, Frascati, Italy.
  • Shrestha S. , Behr, F-J.,2011. “Implementation of Full Text Search for Opengeocoding.org”. Applied Geoinformatics for Society and Environment (AGSE), Stuttgart University of Applied Sciences, Hochschule für Technik Stuttgart , ISBN 978-3-943321-00-5.
  • Shrestha, S., Johannes, E., Hahn, M., 2011, Änderungsdetektion in urbanen Oberflächen (Change Detection in Urban Areas). 31th Wissenschaftlich-Technische Jahrestagung der DGPF (German Society for Photogrammetry, Remote Sensing and Geoinformation), Mainz, Germany.
  • Shrestha, S., Behr, F-J., 2010, Data Visualization Using Google Maps: the Hard Way and the Easy Way. Applied Geoinformatics for Society and Environment (AGSE), Stuttgart University of Applied Sciences, Hochschule für Technik Stuttgart, Volume 109, ISBN 978-3-940670-19-9.