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Publications

Note: * indicates HQPs who are supervised or co-supervised by the CLISA team. Only peer-reviewed journal publications are listed here.

1 Imtiaz, F.*, A. Farooque, G. Randhawa, X. Wang, T. Esau, B. Acharya, and S. E. Hashemi (2024). An Inclusive Approach to Crop Soil Moisture Estimation: Leveraging Satellite Thermal Infrared Bands and Vegetation Indices on Google Earth Engine. Agricultural Water Management, 306:109172. DOI:https://doi.org/10.1016/j.agwat.2024.109172

2 Tamayo-Vera, D.*, K. Liu, A. Bolufé-Röhler, and X. Wang (2024). Projecting future changes in potato yield using machine learning techniques: a case study for Prince Edward Island, Canada. Environmental Research Communications, 6(105025). DOI:https://doi.org/10.1088/2515-7620/ad85c5

3 Basheer, S.*, X. Wang, R. A. Nawaz*, T. Pang*, T. Adekanmbi*, and M. Q. Mahmood* (2024). A comparative analysis of PlanetScope 4-band and 8-band imageries for land use land cover classification. Geomatica, 76(2):10023. DOI:https://doi.org/10.1016/j.geomat.2024.100023

4 Mahmood, M. Q.*, X. Wang, F. Aziz*, and T. Pang* (2024). Evaluating the sustainability of groundwater abstraction in small watersheds using time series analysis. Groundwater for Sustainable Development, 26(101288). DOI:https://doi.org/10.1016/j.gsd.2024.101288

5 Tamayo-Vera, D.*, X. Wang, and M. Mesbah (2024). A Review of Machine Learning Techniques in Agroclimatic Studies. Agriculture, 14(3):481. DOI:https://doi.org/10.3390/agriculture14030481

6 Maqsood, J*, X. Wang, A. Farooque, and R. A. Nawaz* (2024). Future projections of temperature-related indices in Prince Edward Island using ensemble average of three CMIP6 models. Scientific Reports, 14(12661). DOI:https://doi.org/10.1038/s41598-024-63450-9

7 Basheer, S.*, X. Wang, A. Farooque, R. A. Nawaz*, T. Pang*, and E. O. Neokye* (2024). A Review of Greenhouse Gas Emissions from Agricultural Soil. Sustainability, 16(11):4789. DOI:https://doi.org/10.3390/su16114789

8 Zhang, S.*, X. Wang, P. Kinay*, and Q. Dau* (2024). Climate Change Impacts on Potato Storage. Foods, 13(7):1119. DOI:https://doi.org/10.3390/foods13071119

CLISA is the first multi-institutional training program in Canada towards climate smart agriculture to help address the need for HQPs who possess appropriate knowledge and expertise in climate change, precision agriculture, water and soil management, sustainable food production and food value chains, and climate-smart financing and policies to promote the development and application of innovative technologies and strategies in Canadian farming practices.

The CLISA project is made possible with the financial support from the NSERC CREATE.