Dr. Zahraa Al Ali

Dr. Zahraa Al Ali

Assistant Professor of Geography, Remote Sensing and GIS

  • Bio
  • Project grants and consultations
  • Publications
  • Teaching courses
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Publications

  1. Abdullah, M., Al-Ali, Z., Abdullah, M.T., Srinivasan, S., and Al Atiqi, S. (2021). Investigating the applicability of UAVs in characterizing desert shrubs biomass and developing biological indicators for the selection of suitable revegetation sites. Journal of environmental management, 288, 112416.
  2. Meshal M. Abdullah, Amjad Assi, Waleed K. Zubari, Hamed Eidan, Zahraa M. Al-Ali, Virender K. Sharma, Xingmao, and Ma Rabi Mohtar. (2021). Revegetation of Native Desert Plants Enhances Food Security and Water Sustainability in Arid Regions. Science of the total environment. 15129.
  3. Abdullah, M. M., Al-Ali, Z. M., Abdullah, M. T., & Al-Anzi, B. (2021). The Use of Very-High-Resolution Aerial Imagery to Estimate the Structure and Distribution of the Rhanterium epapposum Community for Long-Term Monitoring in Desert Ecosystems. Plants, 10(5), 977.
  4. Meshal M. Abdullah., Zahraa M. Al-Ali., and Shruthi Srinivasan. (2021).  The use of UAV-based remote sensing to estimate biomass and carbon stock for native desert shrubs. MethodsX 8, 101399.
  5. Asadalla N.B, Abdullah M.M, Al-Ali Z.M, and Abdullah M. (2021). Vegetation restoration targeting approach to identify the optimum environmental conditions for the restoration of native desert plants using Remote Sensing and MaxEnt modeling, Restoration ecology, e13425.
  6. Al-Ali, Z., Abdullah, M., Assi. A., Alhumimidi, M., Al-Qurnawi, S., and Ali, T. (2021). The Immediate Impact of the Associated COVID-19’s Lockdown Campaign on the Native Vegetation Recovery of Wadi Al Batin Tri-state Desert.  Remote Sensing Applications: Society and Environment, 100557.
  7. Al-Ali, Z., Bannari, A., Rhinane, H., El-Battay, A. Shahid, S. A., and Hameid, N. (2021). Validation and Comparison of Physical Models for Soil Salinity Mapping Over Arid Landscape Using Spectral Reflectance Measurements and Landsat-OLI Data.  Remote Sensing, 13 (3), 494. (Citations: 2).
  8. Al-Ali, Z., Abdullah, M., Asadalla, N., and Gholoum, M. (2020). A comparative study of remote sensing classification methods for monitoring and assessing desert vegetation using a UAV-based multispectral sensor. Environmental Monitoring Assessment, 192(6).
  9. Bannari, A. and Al-Ali, Z. M. (2020). Assessing the Climate Change Impact on Soil Salinity Dynamic during the Last 30 years (1972-2017) in the Arid Landscape using Landsat TM, ETM+ and OLI data: A Case study of Kuwait State. Remote Sensing: Special Issue, 12: 1-32.
  10. Meshal M. Abdullah, Talal Al-Awadhi, Zahraa Al-Ali, Ammar Abulibdeh, Mohammed Al-Barwani, Noura Al Nasiri, and Sara Al-Nabi. (2022). Using water streams’ physical characteristics as an indicator to predict high risk potential areas for future cyclone- a case study of Shaheen cyclone in Oman. Science of the total environment. In review
  11. Abdullah, M., Assi, A., Al-Ali, Z., Feagin, R., and Whisenant, S. (2022). Quantifying vegetation response to seasonal rainfall fluctuation to estimate the probability of receiving maximum vegetation growth in arid landscapes: an investigative study in Kuwait. In review.