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Dr Sarchil Hama Qader BSc, MSc, PhD

Research Fellow

Dr Sarchil Hama Qader is a Research Fellow within Geography and the Environmental Science at the University of Southampton.

Sarchil has worked at University of Southampton since 2016 and he has been involved in different projects led by Worldpop research group and Flowminder foundation. He has also worked as a lecturer at University of Sulaimani from 2005 to 2011.

Sarchil H. Qader received his B.Sc. degree (Department First) in soil science in 2005 and the M.Sc. degree in remote sensing and GIS for drought monitoring from the University of Sulaimani, Kurdistan, in 2010. He completed his PhD in Geography and Environment at the University of Soutampton/UK in 2016, where his research focused on monitoring decadal land cover and crop production in Iraq (food security) using time series remote sensing data. He worked as a Lecturer with the University of Sulaimani from 2005 to 2011. Sarchil Has been a Research Fellow in the Department of Geography and Environment at the University of Southampton since 2016 and works on a variety of projects led by Worldpop project and Flowminder Foundation.

Qualifications

BSc First on the department (Soil and Water Science, faculty of Agriculture)

M.Sc. (Remote sensing and GIS for drought monitoring)

PhD (Geography and Environment) University of Southampton

Research

Responsibilities

Publications

Contact

Research interests

Processing time-series of remote sensing data for crop forecasting (Food security), Satellite derived land surface phenology, land cover classification and drought monitoring.

1. Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) project

GRID3 is a project newly funded by the Bill & Melinda Gates Foundation and UK Department for International Development (DFID). Activities are implemented and coordinated by a global consortium of complementary institutions, the United Nations Population Fund (UNFPA), Flowminder/WorldPop - a research project at the University of Southampton, and the Center for International Earth Science Information Network (CIESIN) of Columbia University’s Earth Institute. GRID3 provides support to low- and middle-income countries to collect, analyze, integrate, disseminate and utilize high-resolution geo-referenced data on population, boundaries, settlements and infrastructure along with other key spatial datasets for evidence-based development and humanitarian decision making.

2. Define new Somali National Sampling frame and generating Poverty maps for Somalia

Research group

Population, Health and Wellbeing (PHeW)

Affiliate research group

Support WorldPop research projects with GIS, spatial statistical and remote sensing analyses, as well as leading engagement with UN agencies and governments in low income countries

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Articles

Qader, S., Lefebvre, V., Tatem, A., Pape, U. J., Himelein, K., Ninneman, A., Bengtsson, L., & Bird, T. J. (2021). Semi-automatic mapping of pre-census enumeration areas and population sampling frames. Humanities & Social Sciences Communications, 8(1), [3 (2021)]. https://doi.org/10.1057/s41599-020-00670-0
Khwarahm, N., Qader, S., Ararat, K., & Fadhil Al-Quraishi , A. (2020). Predicting and mapping land cover/land use changes in Erbil /Iraq using CA-Markov synergy model. Earth Science Informatics. https://doi.org/10.1007/s12145-020-00541-x
Qader, S., Lefebvre, V., Tatem, A., Pape, U. J., Jochem, W., Himelein, K., Ninneman, A., Wolburg, P., Nunez-Chaim, G., Bengtsson, L., & Bird, T. J. (2020). Using gridded population and quadtree sampling units to support survey sample design in low-income settings. International Journal of Health Geographics, 19(1), [10]. https://doi.org/10.1186/s12942-020-00205-5
Qader, S., Dash, J., & Atkinson, P. (2018). Forecasting wheat and barley crop production in arid and semi-arid regions using remotely sensed primary productivity and crop phenology: a case study in Iraq. Science of the Total Environment, 613-614, 250-262. https://doi.org/10.1016/j.scitotenv.2017.09.057
Qader, S., Dash, J., Atkinson, P. M., & Rodriguez Galiano, V. (2016). Classification of vegetation type in Iraq using satellite-based phenological parameters. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(1), 414-424. https://doi.org/10.1109/JSTARS.2015.2508639
Qader, S., Atkinson, P., & Dash, J. (2015). Spatiotemporal variation in the terrestrial vegetation phenology of Iraq and its relation with elevation. International Journal of Applied Earth Observation and Geoinformation, 41, 107-117. https://doi.org/10.1016/j.jag.2015.04.021

Book Chapter

Fadhil Al-Quraishi, A. M., Qader, S., & Wu, W. (2019). Drought monitoring using spectral and meteorological based indices combination: a case study in Sulaimaniyah, Kurdistan region of Iraq. In Environmental Remote Sensing and GIS in Iraq (pp. 377-393). (Springer Water). Springer, Cham. https://doi.org/10.1007/978-3-030-21344-2_15

Thesis

Qader, S. H. (2016). Monitoring decadal land cover and crop production in Iraq using time series remote sensing data. University of Southampton.

Dr Sarchil Hama Qader
Building 44 University of Southampton University Road Southampton SO17 1BJ

Room Number: Regus Cumberland Hse

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