StartStaff

Talha Mahmood

Research focus
  • Optical and SAR Remote sensing
  • Crop mapping
  • Soil moisture mapping
  • Machine Learning
Scientific career
  • since 09/2017
    PhD Student, Martin Luther University Halle-Wittenberg
  • 07/2016 – 07/2017
    Scientific Officer, National Agriculture Research Center, Islamabad, Pakistan
  • 08/2013 – 04/2016
    Research Assistant, Department of Irrigation and Drainage, University of Agriculture, Faisalabad, Pakistan
  • 09/2012 – 08/2014
    MSc. (Hons.) Agricultural Engineering, University of Agriculture, Faisalabad, Pakistan
  • 09/2008 -08/2012
    Study Agricultural Engineering at the University of Agriculture, Faisalabad, Pakistan

Publications

1
Mahmood, T., Loew, J., Poehlitz, J., Wenzel, J.L. and Conrad, C. (2024) Estimation of 100 m Root Zone Soil Moisture by Downscaling 1 Km Soil Water Index with Machine Learning and Multiple Geodata. Environmental Monitoring and Assessment, 196, 823. https://doi.org/https://doi.org/10.1007/s10661-024-12969-5.
1
Saddique, Mahmood, T. and Bernhofer, C. (2020) Quantifying the Impacts of Land Use/Land Cover Change on the Water Balance in the Aforested River Basin, Pakistan. https://link.springer.com/content/pdf/10.1007/s12665-020-09206-w.pdf.
1
Usman, M., Mahmood, T., Conrad, C. and Bodla, H.U. (2020) Remote Sensing and Modelling Based Framework for Valuing Irrigation System Efficiency and Steering Indicators of Consumptive Water Use in an Irrigated Region. Sustainability, 12, 9535. https://doi.org/10.3390/su12229535.
1
Liaqat, M.U., Cheema, M., Huang, W., Mahmood, T., Zaman, M. and Khan, M.M. (2017) Evaluation of MODIS and Landsat Multiband Vegetation Indices Used for Wheat Yield Estimation in Irrigated Indus Basin. https://www.sciencedirect.com/science/article/abs/pii/S0168169916310456.
1
Usman, M., Mahmood, T. and Conrad, C. (2019) Performance Assessment of Human Controlled Irrigation System in the Semi-Arid Punjab of Pakistan. https://ui.adsabs.harvard.edu/abs/2019AGUFM.H31L1895U/abstract.
Talha Mahmood