Innovative Research Award

BIN BAI
University of Science and Technology Beijing, China

The Innovative Research Award recognizes researchers whose scientific work contributes to knowledge development, methodological advancement, and solutions to contemporary environmental challenges. This profile presents BIN BAI, affiliated with the University of Science and Technology Beijing, China, based on the supplied academic identifiers and bibliometric information. The reported research classification is Environmental Science, a broad field encompassing environmental processes, pollution control, resource management, and sustainability.

Abstract

BIN BAI is presented in this academic recognition profile through the supplied affiliation, environmental science classification, researcher identifiers, and Scopus metrics. The reported record comprises two documents, five citations, and an h-index of one. These indicators offer a limited snapshot of indexed scholarly activity and should be interpreted in relation to publication history, research quality, and disciplinary context. Environmental science research can contribute to understanding ecological systems, reducing environmental pressures, and supporting sustainable resource management. Further verification of the researcher’s publications is necessary to describe individual scientific contributions accurately. [1]

Keywords

Innovative Research Award, BIN BAI, environmental science, University of Science and Technology Beijing, research innovation, environmental sustainability, scientific publications, research impact, International Soil Scientist Awards.

Introduction

Environmental science integrates scientific approaches to investigate interactions between natural systems and human activities. Research in this field supports environmental assessment, pollution prevention, ecosystem protection, and sustainable development. Recognition of scientific work requires consideration of documented contributions, methodological reliability, originality, and the potential relevance of research findings. [2]

Research Profile

The supplied Scopus record identifies BIN BAI through author ID 58126931700 and reports two documents, five citations, and an h-index of one. These values may change as publications are indexed and citation records are updated. Bibliometric indicators are useful for describing publication activity but cannot independently establish research quality or broader scientific influence. The author record and institutional affiliation should be checked before formal academic evaluation. [1]

Research Contributions

Environmental science encompasses research directions that address environmental quality and sustainability. Relevant areas of investigation may include:

• Environmental monitoring and assessment.
• Pollution prevention and remediation technologies.
• Sustainable management of natural resources.
• Scientific approaches to environmental risk reduction.

These topics describe the wider discipline and are not presented as verified research contributions by BIN BAI.

Publications

The supplied information does not include publication titles, journal details, or DOI identifiers associated with BIN BAI. Accordingly, individual papers cannot be reliably listed here. The Scopus author profile provides the appropriate starting point for reviewing indexed documents and confirming authorship. DOI links should be added when verified publication records become available.

Research Impact

Research impact may be assessed through citation patterns, methodological contribution, reproducibility, collaboration, and application of findings. The reported citation count provides one quantitative indicator, but a fuller assessment requires examination of the underlying publications and their scientific context. Environmental research can have practical relevance when supported by robust evidence and appropriate implementation.

Award Suitability

The Innovative Research Award recognizes research-related achievement within the framework of the International Soil Scientist Awards. A fair assessment should consider verified publications, originality, research methods, scientific relevance, and documented contributions. The supplied profile provides basic identifying and bibliometric information; award eligibility or selection should not be inferred from these metrics alone.

Conclusion

This profile summarizes the supplied academic information for BIN BAI of the University of Science and Technology Beijing, China. The reported Scopus indicators offer a preliminary overview of indexed scholarly activity. Verified publications, DOI records, and further evidence of research contributions would support a more detailed account of scientific achievements.

External Links

• Scopus Profile
• ORCID Profile

References

1. Elsevier. (n.d.). Scopus author details: BIN BAI, Author ID 58126931700. Scopus.
   https://www.scopus.com/authid/detail.uri?authorId=58126931700
2. ORCID. (n.d.). BIN BAI researcher identifier.
   https://orcid.org/0009-0005-7070-3718
3. Research on carbon emission accounting model for open-pit mines in alpine ecologically fragile areas.
   https://cje.ustb.edu.cn/en/article/Y2025/I3/430
4. International Soil Scientist Awards. (n.d.). Official website.
   https://soilscientists.org/

Innovative Research Award

Abderrazak Bannari
University of Ottawa, Canada

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]

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

• Google Scholar
• International Soil Scientist Awards Website

References

1. Google Scholar. (n.d.). Abderrazak Bannari — Scholar Profile. Google Scholar.
   https://scholar.google.com/citations?user=D6sZhSQAAAAJ&hl=fr
2. 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
3. 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
4. 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
5. 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