Research output per year
Research output per year
Personal profile
Personal profile
Dr Moby Khan holds a doctorate in Spatial Sciences for Natural Resources from the Twente University, Netherlands and 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. His research focus has been on developing innovative mapping and monitoring using earth observations data. He has conducted research projects on relevant remote sensing technologies for organizations (e.g. Australian Centre for International Agricultural Research (ACIAR), Food and Agriculture Organization (FAO), Asian Development Bank (ADB).
Research Interests
- Food security
- Agriculture mapping and monitoring
- Groundwater and surface water hydrology
- Mobile and web-based decision support tools
- Cattle disease (hotspot)
Teaching
GEO303 - Climatology
GEO503 - Climatology
SPA 308 - GIS Applications
SPA 432 - Geographic Infomation Scinece Applications
SPA 433 - Advnaced Geographic Information Scinece
SPA 442 - Remote Sensing 2: Image Processing and Analaysis
SPA 443 - Remote Sensing 3: Information Extraction
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
ITC, PhD, University of Twente
Award Date: 01 Nov 2011
Agriculture, Bachelor of Agriculture Honours, Pakistan
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Applications of geospatial technologies for precision agriculture
Khan, M., 01 May 2023, (E-pub ahead of print) Precision Agriculture Evolution, Insights and Emerging Trends. Vol. 1. p. 71 - 82 290 p.Research output: Book chapter/Published conference paper › Conference paper › peer-review
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Determining satellite-based evapotranspiration product and identifying relationship with other observed data in Punjab, Pakistan
Amin, M., Khan, M. R., Hassan, S. S., Imran, M., Hanif, M. & Baig, I. A., Jan 2023, In: Environment, Development and Sustainability. 25, 1, p. 23-39 17 p.Research output: Contribution to journal › Article › peer-review
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Plant Water Requirements and Evapotranspiration
Khan, M., 30 Jun 2023, Handbook of Irrigation Hydrology and Management. 1st ed. Coca Raton, p. 147 163 p.Research output: Book chapter/Published conference paper › Chapter (peer-reviewed) › peer-review
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Epidemiology, distribution and identification of ticks on livestock in Pakistan
Khan, S. S., Ahmed, H., Afzal, M. S., Khan, M. R., Birtles, R. J. & Oliver, J. D., 04 Mar 2022, In: International Journal of Environmental Research and Public Health. 19, 5, p. 1-11 11 p., 3024.Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Citations (Scopus)58 Downloads (Pure) -
Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest
Tariq, A., Yan, J., Gagnon, A. S., Riaz Khan, M. & Mumtaz, F., 21 Jul 2022, (E-pub ahead of print) In: Geo-spatial Information Science. 0, 0, p. 1-19 19 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile32 Citations (Scopus)133 Downloads (Pure)
Datasets
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Classified NDVI image for flood damage assessment
Khan, M. (Creator), Mobushir Riaz Khan, 01 Nov 2022
Dataset
Press/Media
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‘Terrific tool’ – the Australian app that could be a game changer for farmers in Pakistan
26/08/20
1 Media contribution
Press/Media: Press / Media