Charles Sturt University
Charles Sturt University

Mobushir (Moby) Riaz Khan

 Mobushir (Moby) Khan

PhD

Moby Khan is spatial scientist and has joined CSU in January, 2020. Prior to joining CSU, he was working in Swinburne University of Technology as Adj. Associate professor on remote sensing for water resources. He holds a doctorate from ITC, University of Twente, Netherlands. His doctoral thesis focused on mapping and monitoring of crop production systems using Remote sensing and GIS along with crop production estimation using crop growth algorithms with remote sensing data. In 2013, he researched on geospatial technologies for disaster management as a post doc researcher at the department of computer science and informatics, Cardiff University, UK.

Dr Khan has about ten years of university teaching and research experience with execution and implementation of geospatial projects specializing in remote sensing, GIS and modelling in agriculture, forestry, groundwater, and natural resource management. He has also supervised more than 20 masters’ students and two PhD researchers to the completion of their degrees. He has been geospatial lead in many projects funded by international organizations (e.g. Australian Centre for International Agricultural Research (ACIAR), Food and Agriculture Organization (FAO), Asian Development Bank (ADB).

Top of page


  • SCI103 – Introduction to Geospatial Science
  • SPA443 – Remote Sensing 3: Information Extraction

Top of page


Applications of geospatial science for agriculture, surface & groundwater, forests and allied natural resources.

Currently, I am working as a geospatial lead geospatial expert for a project “Improving groundwater management to enhance agriculture and farming livelihoods in Pakistan”. Funded by Australian Center For International Agricultural Research (ACIAR).

Web Link of a Decision Support Tool using GIS, Remote Sensing and Spatial analysis

Top of page


  • Member Surveying & Spatial Sciences Institute (SSSI), Australia
  • Member International Society for Photogrammetry and Remote Sensing (ISPRS)

Top of page


Journal Articles (Selected)

Complete list can be accessed at ResearchGate

  1. Khan IA, Khan M. R, Baig MHA, Hussain Z, Hameed N, et al. (2020) Assessment of forest cover and carbon stock changes in sub-tropical pine forest of Azad Jammu & Kashmir (AJK), Pakistan using multi-temporal Landsat satellite data and field inventory. PLOS ONE 15(1): e0226341.
  2. Amin, M, Bano, D, Hassan, SS, Goheer, M. A., Khan, A.A., Khan M. R., Hina, S.M. Mapping and monitoring of glacier lake outburst floods using geospatial modelling approach for Darkut valley, Pakistan. Meteorol Appl. 2020; 27:e1877.
  3. M. Usman, R. N. Ahmad, Khan. M. R. (2018). Quantification of spatio-temporal variations of potential evapotranspiration in lower Chenab Canal East. International Journal of Biosciences,13(1), 148-158.
  4. M. Imran, I. Basit, Khan, M. R. Ahmad S.R. (2018) Analyzing the Impact of Spatio-Temporal Climate Variations on the Rice Crop Calendar in Pakistan. International Journal of Agricultural and Biosystems Engineering 12(06), 177-184
  5. Khan, M. R., Ahmed, H., Panadero-Fontán, R., López Sández, C., Aamir khan, M., Asif, S., … Qayyum, M. (2015). Risk mapping of bovine hypodermosis using geographical information system (GIS) in cattle of subtropical region, Pakistan. The Journal of Infection in Developing Countries, 09, 872–877.
  6. Hasson, S. ul, Lucarini, V., Khan, M. R., Petitta, M., Bolch, T., & Gioli, G. (2013). Early 21st century climatology of snow cover for the western river basins of the Indus River System. Hydrology and Earth System Sciences, 10, 13145–13190.
  7. Ahmed, H., Khan, M. R., Panadero-Fontán, R., López Sández, C., M, F., Naqvi, S. M. S., & Qayyum, M. (2012). Geographical distribution of hypodermosis (Hypoderma sp.) in Northern Punjab, Pakistan. Kafkas Üniversitesi Veteriner Fakültesi Dergisi, 18, 215–219.
  8. de Bie, C. A. J. M., Khan, M. R., Smakhtin, V. U., Venus, V., Weir, M. J. C., & Smaling, E. M. A. (2011). Analysis of multi-temporal SPOT NDVI images for small-scale land-use mapping. International Journal of Remote Sensing, 32(21), 6673–6693.
  9. Khan, M. R., Bie, C. A. J. M., van keulen, H., Smaling, E., & Real, R. (2010). Disaggregating and mapping crop statistics using hypertemporal remote sensing. International Journal of Applied Earth Observation and Geoinformation, 12, 36–46.
  10. Mobeen, M., Ahmed, H., Ullah, F., Riaz, M. O., Mustafa, I., Khan, M. R., & Hanif, M. U. (2017). Impact of climate change on the precipitation pattern of district Sargodha, Pakistan. International Journal of Climate Change Strategies and Management, 9(1), 21–35.
  11. Arshad, M., N, A., Muqadas, H., I, M., Khan, M. R., Ahmed, H., … Ahmed, H. (2014). Avifauna Studies in Co-Relation with Alteration in Climatic Patterns and Hydrology of Uchalli Lake, Punjab, Pakistan. Pakistan Journal of Zoology, 46, 513–520.

Top of page