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Talha Mahmood

Profile Picture: Talha Mahmood TM

Talha Mahmood Fellow

Research assistant Geoecology

Mail: talha.mahmood@student.uni-halle.de Tel: +49 (0)345 55-26048 Room: Raum H4 1.37 Consultation hours: by arrangement(during the semester break only by appointment)

Focus Areas:

Mapping of crop species, soil moisture, remote sensing

Research

  • Optical and SAR remote sensing
  • Crop mapping
  • Soil moisture mapping
  • Machine learning

Biography

  • since 09/2017
    PhD student at the Institute of Geosciences and Geography
  • 07/2016 – 07/2017
    Scientific Officer, National Agriculture Research Centre, 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
    Agricultural Engineering at the University of Agriculture, Faisalabad, Pakistan

Publications

2355391MDLREVTXPeerReviewMahmood 1american-journal-of-plant-sciences50datedesc1 Mahmood, T. 12616https://geo.uni-halle.de/wp-content/plugins/zotpress/
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Mahmood, T., Usman, M. and Conrad, C. (2025) Selecting Relevant Features for Random Forest-Based Crop Type Classifications by Spatial Assessments of Backward Feature Reduction. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science. https://doi.org/10.1007/s41064-024-00329-4.
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Mahmood, T., Löw, J., Pöhlitz, 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.
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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.
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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.
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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.

2355391MDLREVTXConferencePaperMahmood 1american-journal-of-plant-sciences50datedesc1 Mahmood, T. 12616https://geo.uni-halle.de/wp-content/plugins/zotpress/
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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.