Jayan Wijesingha

Jayan Wijesingha

Address Universität Kassel
Ökologische Agrarwissenschaften
Steinstr. 19
37213 Witzenhausen
Building: Labor- und Hörsaalgebäude
Room 1004
Telephone +49 561 804-1338
Telefax +49 561 804-1230
Picture of  Jayan  Wijesingha

Introduction

Jayan Wijesingha is a researcher and PhD student at the section of Grassland and Renewable Resources at the Universität Kassel. His research interests are the Unmanned Aerial Vehicle (UAV) borne remote sensing for grassland and agriculture monitoring. He studied Surveying Sciences in Sri Lanka and Geomatics at the Lund University, Sweden specialised in remote sensing. His core area is to develop models to quantify biophysical and biochemical characteristics of grassland and agricultural crops utilising UAV-borne hyperspectral image data. The second focus of his research is using the 3D point cloud data from remote sensing for vegetation monitoring.

Research Interests:

  • Remote Sensing
  • GIS
  • Biomass
  • Grassland

 Projects:

Curriculum vitae

2007-2011

Studies in "Surveying Sciences" with specialisation in Photogrammetry and Remote Sensing at Sabaragamuwa University of Sri Lanka, B.Sc., Topic of the Bachelor-Thesis: "Automatic road feature extraction from high-resolution satellite images using LVQ neural networks."

2014-2016

Studies in "Geomatics" at Lund University, Sweden, M.Sc., Topic of the Master-Thesis: "Geometric quality assessment of multi-rotor unmanned aerial vehicle-borne remote sensing products for precision agriculture."

Since 2017

PhD Student at the Department of Grassland Science and Renewable Plant Resources.

 

 

2012-2013

Academic Demonstrator at Sabaragamuwa University of Sri Lanka.

2013-2014

Research Associate at Geoinformatics Center, Asian Institute of Technology, Bangkok, Thailand.

2016-2017

Freelance GIS Consultant in Land Copernicus project at European Environment Agency, Copenhagen, Denmark.

Publications in peer reviewed journals

2019

Wijesingha J, Moeckel T., Hensgen F., Wachendorf M. (2019): Evaluation of 3D point cloud-based models for the prediction of grassland biomass. International Journal of Applied Earth Observation and Geoinformation 78, 352-359. PDF

other publications

2018 

Wijesingha J., Möckel T., Hensgen F., Wachendorf M. (2018): Grassland biomass modelling from remote sensing 3D point clouds.  In: Mitteilungen der Gesellschaft für Pflanzenbauwissenschaften. Bd. 30, 37-38.