Innovative Research Award
Abderrazak Bannari
University of Ottawa, Canada
| Abderrazak Bannari | |
|---|---|
| Affiliation | University of Ottawa |
| Country | Canada |
| Google Scholar ID | D6sZhSQAAAAJ |
| Documents | 230 |
| Citations | 6,585 |
| h-index | 29 |
| Subject Area | Environmental Science |
| Event | International Soil Scientist Awards |
Abderrazak Bannari is a researcher in remote sensing, geomatics, environmental monitoring, and Earth observation. His academic work has addressed satellite and UAV-based multispectral, hyperspectral, and radar sensing, natural-resource assessment, precision agriculture, land degradation, soil salinity, and environmental impact assessment. University and scholarly records associate his research with the University of Ottawa and document an extensive publication record in environmental and geospatial science. [1] [2]
Contents
Abstract
This academic recognition profile summarizes the documented research of Abderrazak Bannari in the context of the Innovative Research Award associated with the International Soil Scientist Awards. The supplied Google Scholar metrics record 230 documents, 6,585 citations, and an h-index of 29. His research is strongly connected with remote sensing, environmental monitoring, agricultural applications, soil assessment, and geospatial analysis. [1]
Keywords
- Abderrazak Bannari
- Remote Sensing
- Environmental Science
- Soil Salinity
- Precision Agriculture
- Hyperspectral Imaging
Introduction
Bannari’s research has developed around the use of Earth-observation technologies to characterize environmental and agricultural systems. His documented interests include satellite and UAV remote sensing, multispectral and hyperspectral analysis, radar, geomatics, natural resources, precision agriculture, land degradation, soil salinity, climate change, and environmental assessment. [2] These areas connect geospatial measurement with practical environmental monitoring and resource-management applications.
Research Profile
The supplied Google Scholar profile identifies 230 documents, 6,585 citations, and an h-index of 29. [1] Independent publication records document Bannari’s contributions to remote sensing and environmental applications, including research published through the University of Ottawa’s Department of Geography. [4] His work has also appeared in journals covering remote sensing, geoscience, environmental science, and agricultural applications.
Research Contributions
A significant part of Bannari’s research concerns the extraction of environmental and agricultural information from remotely sensed imagery. His work has investigated crop residue using Hyperion hyperspectral data, demonstrating how spectral information can support the assessment of agricultural surfaces and soil-management practices. Other research has examined soil salinity dynamics using Landsat TM, ETM+, and OLI observations, providing a remote-sensing framework for evaluating changes in arid landscapes. [5]
Publications
- Bannari, A. et al. Spatial Variability Mapping of Crop Residue Using Hyperion (EO-1) Hyperspectral Data. Remote Sensing, 2015. DOI: 10.3390/rs7068107. [3]
- Bannari, A. & Al-Ali, Z. M. Assessing Climate Change Impact on Soil Salinity Dynamics between 1987–2017 in Arid Landscape Using Landsat TM, ETM+ and OLI Data. Remote Sensing, 2020. DOI: 10.3390/rs12172794. [5]
- Maimouni, S., El-Harti, A., Bannari, A. et al. Water erosion risk mapping using derived parameters from digital elevation model and remotely sensed data. Geo-Spatial Information Science, 2012. DOI: 10.1080/10095020.2012.715855.
Research Impact
The supplied citation profile indicates substantial scholarly visibility, with 6,585 citations and an h-index of 29. [1] The research has addressed practical environmental questions including soil salinity, crop residues, erosion risk, agricultural monitoring, and Earth-observation sensor calibration. Such applications demonstrate the role of remote sensing and geospatial analysis in generating spatially explicit environmental information for research and resource management. [5]
Award Suitability
For consideration under an Innovative Research Award, Bannari’s documented research provides relevant evidence of innovation in environmental observation and geospatial science. His work connecting remote sensing with soil salinity, agricultural monitoring, erosion assessment, and land degradation is particularly relevant to interdisciplinary environmental research. [5] Formal recognition should be determined using the complete nomination record and the published eligibility and evaluation criteria of the International Soil Scientist Awards.
Conclusion
Abderrazak Bannari’s research profile reflects sustained contributions to remote sensing, geomatics, environmental monitoring, and agricultural applications. His documented publications address soil salinity, crop residues, erosion, sensor calibration, and related environmental processes, while the supplied scholarly metrics indicate 230 documents, 6,585 citations, and an h-index of 29. [1] These elements provide a substantial scholarly basis for consideration within an innovation-focused academic recognition framework.
External Links
References
- Google Scholar. (n.d.). Abderrazak Bannari — Scholar Profile. Google Scholar.
https://scholar.google.com/citations?user=D6sZhSQAAAAJ&hl=fr - MDPI. (n.d.). Remote Sensing — Special Issue: Remote Sensing of Soil Salinity. Research profile and subject interests of Prof. Dr. Abderrazak Bannari.
https://www.mdpi.com/journal/remotesensing/special_issues/RS_soil_salinity - Bannari, A. et al. (2007). A Comparison of Hyperspectral Chlorophyll Indices for Wheat Crop Chlorophyll Content Estimation Using Laboratory Reflectance Measurements. IEEE Transactions on Geoscience and Remote Sensing. DOI: https://doi.org/10.1109/TGRS.2007.897429
- Bannari, A. & Al-Ali, Z. M. (2020). Assessing Climate Change Impact on Soil Salinity Dynamics between 1987–2017 in Arid Landscape Using Landsat TM, ETM+ and OLI Data. Remote Sensing, 12(17), 2794. DOI: https://doi.org/10.3390/rs12172794
- Maimouni, S., El-Harti, A., Bannari, A. et al. (2012). Water erosion risk mapping using derived parameters from digital elevation model and remotely sensed data. Geo-Spatial Information Science, 15(3), 157–165. DOI: https://doi.org/10.1080/10095020.2012.715855