MUHAMMAD SADIQ KHAN

Designation:
POSTDOC RESEACHER
Department:
Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems
University:
University of Chinese Academy of Sciences
Country:
CHINA
Email: Journal Associated: Annals of Environmental Science and Toxicology Biography:

Dr. Muhammad Sadiq Khan, a dedicated and accomplished Ph.D. in Ecology from the Research Center For Eco-Environmental Sciences, UCAS, is a leading expert in Geographic Information Systems (GIS) and remote sensing. With a profound passion for environmental sciences, he has spent seven years unraveling the intricate relationships between ecosystems and human activities using cutting-edge geospatial technology. Their academic journey began with a solid urban and regional ecology foundation, leading to extensive GIS and remote sensing application research. Driven by a commitment to environmental conservation, they have significantly contributed to developing sustainable practices and informed decision-making.

As a visionary scientist, Dr. Muhammad Sadiq Khan continues working as a Postdoc Researcher from 2022 at South China Botanical Garden, UCAS China, pushing ecological research boundaries, using GIS and remote sensing to address complex environmental challenges and promote a healthier planet.

Research Interest(s): 

Main research interests are earth system dynamics, including climate monitoring, land-use land cover changes, landscape spatial analysis, and natural resources monitoring, specifically through the potential use of GIS and remote sensing.

Publications list:

  1. Khan. M.S et al. (2023). Comparative study and effects of urban greenscape on land surface temperature of a big metropolis and green city (Revision submitted in Heliyon journal)
  2. Khan. M.S et al. (2023). Khan, M. S., Ullah, S., & Chen, L. (2023). Variations in Surface Urban Heat Island and Urban Cool Island Intensity: A Review Across Major Climate Zones. Chinese Geographical Science, 1-18. https://doi.org/10.1007/s11769-023-1375-8
  3. Khan, M. S., Ullah, S., & Chen, L. (2021). Comparison on land-use/land-cover indices in explaining land surface temperature variations in the city of Beijing, China. Land, 10(10), 1018. https://doi:10.3390/land10101018
  4. Khan, M.S, Ullah, S., Sun, T., Rehman, A. U., & Chen, L. (2020). Land-use/land-cover changes and its contribution to urban heat Island: A case study of Islamabad, Pakistan. Sustainability, 12(9), 3861.  https://doi.org/10.3390/su1209386 1
  5. Ullah, S, Dees, M, Datta, P; Adler, Tahir Saeed, Khan, M.S; Koch, B. Comparing the potential of stereo aerial photographs, stereo very high-resolution satellite images, and TanDEM-X for estimating forest height. International Journal of Remote Sensing 2019, 8, 215. https://doi.org/10.1080/01431161.2020.1752414
  6. Sun, T., Sun, R., Khan, M. S., & Chen, L. (2021). Urbanization increased annual precipitation in temperate climate zone: A case in Beijing-Tianjin-Hebei region of North China. Ecological Indicators, 126,107621. https://doi:10.1016/J.ECOLIND.2021.107621
  7. Rehman, A., Qin, J., Shafi, S., Khan, M. S., Ullah, S., Ahmad, K., Faheem, M. (2022). Modelling of Land Use/Cover and LST Variations by Using GIS and Remote Sensing: A Case Study of the Northern Pakhtunkhwa Mountainous Region, Pakistan. Sensors, 22(13), 4965. https://doi.org/10.3390/s22134965
  8. Rehman, A., Qin, J., Pervez, A., Khan, M. S., Ullah, S., Ahmad, K., and Rehman, N. U. (2022). Land-use/land cover changes contribute to land surface temperature: a case study of the Upper Indus Basin of Pakistan. Sustainability, 14(2), 934. https://doi.org/10.3390/su14020934
  9. Ur Rehman, A. U., Ullah, S., Liu, Q., & Khan, M. S. (2021). Comparing different space-borne sensors and methods for the retrieval of land surface temperature. Earth Science Informatics, 1-11. https://doi.org/10.1007/s12145-021-00578-6
  10. Ur Rehman, A., Ullah, S., Shafique, M., Khan, M. S., Badshah, M. T., & Liu, Q. J. (2021). Combining Landsat-8 spectral bands with ancillary variables for land cover classification in mountainous terrains of northern Pakistan. Journal of Mountain Science, 18(9), 2388-2401. https://doi.org/10.1007/s11629- 020-6548-7
  11. Feng, S., Chen, L., Sun, R., Feng, Z., Li, J., Khan, M. S., & Jing, Y. (2019). The distribution and accessibility of urban parks in Beijing, China: Implications of social equity. International journal of environmental research and public health, 16(24), 4894.  https://doi.org/10.3390/ijerph16244894
  12. Khan et al., 2023, Assessment of Vegetation Success Concerning Climate-Topography for Effective Ecological Protection and Management (Under Review in Environmental Research Letter)
  13. Khan et al., 2023,  Understanding Vegetation Dynamics of the World's Largest Mangrove Forest under Climate Crises: A Comprehensive Analysis (Under Review in Ecological Indicators)
  14. Khan, M. S., Hussain, A., Saeed, M., Latif, M., Khan, S. M., Shah, W., ... & Ali, G. (2016). Impact assessment of forest resources on the fauna and socio economic conditions of local community.
  15. Khan, M. S., Khan, S., Shah, W., Hussain, A., & Masaud, S. (2016). Height growth, diameter increment and age relationship response to sustainable volume of subtropical Chir pine (Pinus roxburghii) forest of Karaker Barikot forest. Pure and Applied Biology, 5(4), 1. DOI:10.19045/bspab.2016.50095    
  16. Khan, M. S., Shah, W. I. S. A. L., Hussain, A. H. M. A. D., Naz, A. L. I. A., & Masaud, S. H. A. H. (2015). Predicting the present growing stock for the next ten years keeping in view the dependency of local community in karaker forest swat. J. Sci. Technol. Univ. Peshawar, 39, 37-55.
  17. Yaseen, M., Saad, M., Salim, M., Saeed, M., Suliman, M., Khan, S., ... & Amir, H. H. (2018). Impact of joint forest management on the insect population and socio-economics of local communities of village miandam district swat, Pakistan.

Indexing/Archiving