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Dr. Jayan Wijesingha
Postdoctoral Researcher
- Telephone
- +49 561 804-1245
- jayan.wijesingha[at]uni-kassel[dot]de
- Leader of working group
- GIS & Remote Sensing Methods and Applications
- Location
- University of Kassel
Faculty of Organic Agricultural Sciences
Section of Grassland Science and Renewable Plant Resources
Steinstr. 19
37213 Witzenhausen
- Room
- Lecture hall building Steinstrasse
Brief introduction
Jayan Wijesingha is a postdoctoral researcher at the section of Grassland Science and Renewable Plant 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
- Application of satellite-borne and UAV-borne remote sensing data (RGB, multi-/hyperspectral, LiDAR) models for plant biophysical and biochemical parameter estimation
- Analysis of Satellite remote sensing data for agricultural land-cover/land-use mapping
- Evaluate spatial-temporal land-use/land-cover pattern and changes due to agricultural intensification, urbanisation, bioeconomic activities etc.
Vegetation cover mapping using high-resolution image semantic segmentation with deep learning
Current research projects
TRIO - Transformative Mixed Crop Systems for One Health
GreenDairy - Integrated animal-plant agroecosystems
SYMOBIO 2.0 - Systemic Monitoring and Modelling of the Bioeconomy (Phase II)
Klee-Ass - Differentiated forage management - System comparison at crop rotation level
Completed research projects
DFG FOR2432/2 "Social-Ecological Systems in the Indian Rural-Urban Interface: Functions, Scales, and Dynamics of Transition"
RE-DIRECT I - EU Interreg NWE "REgional Development and Integration of unused biomass wastes as REsources for Circular products and economic Transformation"
RE-DIRECT II - EU Interreg NWE "REgional Development and Integration of unused biomass wastes as REsources for Circular products and economic Transformation"
DBU Lupine - Conservation and Restoration of Species Diversity in the Mountain Meadows of the Rhön Biosphere Reserve - Management of the Invasive Perennial Lupine (Lupinus polyphyllus Lindl.) in a Complex System of Protected Areas
Publications
2024
| Wijesingha, J., Schulze-Brüninghoff, D., Wachendorf, M., 2024. Mapping invasive Lupine on grasslands using UAV images and deep learning, in: Hoffmann, C., Stein, A., Gallmann, E., Dörr, J., Krupitzer, C., Floto, H. (Eds.), 44. GIL-Jahrestagung. Stuttgart-Hohenheim, pp. 461–466. |
| Wijesingha, J., Dzene, I., Wachendorf, M., 2024. Evaluating the spatial–temporal transferability of models for agricultural land cover mapping using Landsat archive. ISPRS Journal of Photogrammetry and Remote Sensing 213, 72–86. https://doi.org/https://doi.org/10.1016/j.isprsjprs.2024.05.020 |
| Saucke, H., Nicol, C., Schelp, C., Wengert, M., Wijesingha, J., Stein-Bachinger, K., 2024. Kleegrasflächen mit Milchviehbeweidung: Einflüsse auf die Artenvielfalt am Beispiel Hessische Staatsdomäne Frankenhausen, in: Oberhofer, M. (Ed.), Beiträge Zur 17. Wissenschaftstagung Ökologischer Landbau. FiBL Projekt GmbH, FiBL Frick, p. TBD. |
2023
2022
| Wengert, M., Wijesingha, J., Schulze-Brüninghoff, D., Wachendorf, M., Astor, T., 2022. Multisite and Multitemporal Grassland Yield Estimation Using UAV-Borne Hyperspectral Data. Remote Sensing 14, 2068. https://doi.org/10.3390/rs14092068 |
2021
| Wengert, M., Piepho, H.-P., Astor, T., Graß, R., Wijesingha, J., Wachendorf, M., 2021. Assessing spatial variability of barley whole crop biomass yield and leaf area index in silvoarable agroforestry systems using UAV-borne remote sensing. Remote Sensing 13, 2751. https://doi.org/10.3390/rs13142751 |
| Wijesingha, J., Dayananda, S., Wachendorf, M., Astor, T., 2021. Comparison of spaceborne and UAV‐borne remote sensing spectral data for estimating monsoon crop vegetation parameters. Sensors 21, TBD. https://doi.org/10.3390/s21082886 |
2020
| Wijesingha, J., Astor, T., Schulze-Brüninghoff, D., Wengert, M., Wachendorf, M., 2020. Predicting Forage Quality of Grasslands Using UAV-Borne Imaging Spectroscopy. Remote Sensing 12, 126. https://doi.org/10.3390/rs12010126 |
| Wijesingha, J., Astor, T., Schulze-Brüninghoff, D., Wachendorf, M., 2020. Mapping Invasive Lupinus polyphyllus Lindl. in Semi-natural Grasslands Using Object-Based Image Analysis of UAV-borne Images. Journal of Photogrammetry, Remote Sensing and Geoinformation Science 88, 391–406. https://doi.org/10.1007/s41064-020-00121-0 |
| Karunaratne, S., Thomson, A., Morse-McNabb, E., Wijesingha, J., Stayches, D., Copland, A., Jacobs, J., 2020. The fusion of spectral and structural datasets derived from an airborne multispectral sensor for estimation of pasture dry matter yield at paddock scale with time. Remote Sensing 12, TBD. https://doi.org/10.3390/rs12122017 |
2019
| Dayananda, S., Astor, T., Wijesingha, J., Chickadibburahalli Thimappa, S., Dimba Chowdappa, H., Nidamanuri, R.R., Nautiyal, S., Wachendorf, M., 2019. Multi-Temporal Monsoon Crop Biomass Estimation Using Hyperspectral Imaging. Remote Sensing 11, 1771. https://doi.org/10.3390/rs11151771 |
| Wijesingha, J., Astor, 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. https://doi.org/10.1016/j.jag.2018.10.006 |
| Wengert, M., Wijesingha, J., Astor, T., Wachendorf, M., 2019. Ertrags- und Qualitätsschätzung von Grünland mittels drohnengestützter hyperspektraler Bilder, in: Stützel, H., Fricke, A., Francke-Weltmann, L. (Eds.), Landscape Matters - Agrarlandschaften Der Zukunft. Kurzfassungen Der Vorträge Und Poster. Verlag Liddy Halm, Göttingen, pp. 29–30. |
| Wijesingha, J., Astor, T., Hensgen, F., Wachendorf, M., 2019. Hyperspectral ortho-mosaic from UAV-borne images for discriminating different grassland management regimes, in: EARSeL (Ed.), 11th EARSel Sig Imaging Spectroscopy Workshop. EARSeL, Brno, Czech Republic, p. NN. |
2018
| Wijesingha, J., Astor, T., Hensgen, F., Wachendorf, M., 2018. Grassland biomass modelling from remote sensing 3D point clouds, in: Stützel, H., Fricke, A., Francke-Weltmann, L. (Eds.), 61. Jahrestagung Der Gesellschaft Für Pflanzenbauwissenschaften - From Big Data to Smart Farming. Verlag Liddy Halm, Göttingen, pp. 37–38. |
Vita
Analyse von Satelliten-Fernerkundungsdaten für die Kartierung der landwirtschaftlichen Bodenbedeckung/Landnutzung Auswertung von räumlich-zeitlichen Landnutzungs-/Landbedeckungsmustern und Veränderungen u.a. aufgrund von landwirtschaftlicher Intensivierung, Urbanisierung, bioökonomischen Aktivitäten etc. Kartierung der Vegetationsbedeckung durch semantische Segmentierung hochauflösender Bilder mittels Deep Learning |