Rocío Nayelly Ramos Bernal | Best Researcher Award | Geospatial Information Science

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Best Researcher Award

Rocío Nayelly Ramos Bernal
Autonomous University of Guerrero (UAGro), Mexico

Rocío Nayelly Ramos Bernal
Affiliation Autonomous University of Guerrero (UAGro)
Country Mexico
Scholar ID yiC0UOoAAAAJ&hl
Documents 49
Citations 394
h-index 10
Subject Area Geospatial Information Science
Event International Academic Achievements & Awards

Rocío Nayelly Ramos Bernal is a researcher affiliated with the Autonomous University of Guerrero (UAGro), Mexico, whose documented academic work centers on geomatics, remote sensing, geographic information systems, spatial analysis, and natural-hazard assessment. Her public ORCID record identifies her as a Profesora-Investigadora at UAGro and lists research keywords including landslides, remote sensing, and geographic information systems. [1]

Her publication record includes research on landslide susceptibility, land-cover change, remote-sensing methods, spatial risk assessment, and environmental applications of geospatial technologies. These themes provide a multidisciplinary basis for evaluating her research profile within an academic recognition framework. [2]

Abstract

The Best Researcher Award profile for Rocío Nayelly Ramos Bernal highlights a research trajectory associated with geomatics, remote sensing, geographic information systems, spatial analysis, and natural-hazard assessment. Her documented scholarly activities include investigations of landslide susceptibility, land-cover change, environmental risk, seismic mapping, and the application of geospatial and machine-learning methods to territorial analysis. [1] [3]

Her research record demonstrates an interdisciplinary connection between Earth observation, geospatial modelling, environmental assessment, and risk-informed territorial planning. Several publications indexed through her ORCID record have associated DOI identifiers, providing persistent bibliographic pathways for scholarly verification. [1]

Keywords

Rocío Nayelly Ramos Bernal, Best Researcher Award, geomatics, remote sensing, geographic information systems, GIS, landslide susceptibility, spatial analysis, natural hazards, environmental risk, machine learning, Earth observation, territorial analysis, Mexico, UAGro.

Introduction

Rocío Nayelly Ramos Bernal is associated with the Unidad Académica de Ingeniería of the Autonomous University of Guerrero. Her ORCID profile records employment at Universidad Autónoma de Guerrero from 2012 onward and identifies research interests involving landslides, remote sensing, and geographic information systems. [1]

Institutional information from UAGro describes her research line as Geomática, Análisis Espacial y Resiliencia ante Desastres Naturales, emphasizing the use of geomatics and GIS for sustainable territorial management, spatial modelling, remote sensing, and the assessment of natural hazards. [4]

The supplied award profile classifies the recognition subject area as Planetary Sciences. In the publicly documented research record, however, the strongest evidence concerns Earth observation and terrestrial geospatial science. This distinction is relevant when interpreting the award profile in an academically responsible manner.

Research Profile

Ramos Bernal’s research profile is characterized by the integration of geospatial data, remote-sensing imagery, spatial analysis, and risk assessment. Her work addresses practical questions concerning landscape dynamics and natural hazards, particularly landslide processes and territorial vulnerability. [1]

Her academic activities also extend to research supervision. UAGro’s postgraduate repository identifies Ramos Bernal as director of research projects addressing landslide inventories, satellite imagery, digital elevation models, and monitoring of land displacement in Guerrero. [5]

  • Geomatics and geographic information systems.
  • Remote sensing and Earth-observation imagery.
  • Landslide susceptibility and natural-hazard assessment.
  • Spatial modelling and environmental risk analysis.
  • Land-cover and landscape-change analysis.
  • Application of machine-learning methods to geospatial problems.

Research Contributions

One major contribution of Ramos Bernal’s research is the application of remote sensing and spatial modelling to landslide-risk analysis. Her publication record includes a study evaluating conditioning factors of slope instability and the use of continuous-change maps for landslide inventory generation with machine-learning algorithms. [1]

Her work also addresses the integration of vulnerability and hazard factors for landslide-risk assessment, demonstrating the importance of combining environmental and spatial indicators when evaluating territorial risk. [6]

Another research direction concerns land-cover monitoring and change detection. Publications associated with her ORCID record examine unsupervised change-detection methods, Landsat imagery, topographic correction, and land-cover mapping, illustrating the methodological breadth of her geospatial research. [1]

Her research has additionally contributed to the mapping and interpretation of seismic and environmental hazards in Guerrero. A 2023 article involving Ramos-Bernal examined maximum ground accelerations associated with the 7 September 2021 earthquake in Guerrero and produced isoseismal mapping using seismic information and spatial analysis. [7]

Publications

Selected publications associated with Ramos Bernal’s ORCID and indexed scholarly record include the following works. DOI identifiers are included where publicly documented to support persistent access and bibliographic verification. [1]

Research Impact

The research portfolio demonstrates relevance to environmental monitoring and disaster-risk reduction because geospatial methods can support the identification, mapping, and interpretation of areas exposed to natural hazards. Institutional information from UAGro specifically describes her work as contributing to sustainable territorial management and resilience against natural disasters. [4]

Her publication activity also reflects international collaboration. The ORCID record associates her with research involving institutions and researchers in Mexico and Spain, while the 2018 International Journal of Remote Sensing article connects her work with the Universidad Rey Juan Carlos and UAGro. [1] [8]

Academic impact may be considered through multiple dimensions, including peer-reviewed publications, indexed scholarly output, citations, research collaboration, methodological contributions, postgraduate supervision, and practical relevance to environmental and hazard-management challenges. The supplied award profile reports 49 documents, 394 citations, and an h-index of 10; these figures should be understood as profile-specific metrics that may change over time.

Award Suitability

The Best Researcher Award profile is supported by a documented body of peer-reviewed research, international scholarly collaboration, applied geospatial methodologies, and postgraduate research supervision. Her work addresses research questions with direct relevance to natural-hazard assessment, environmental monitoring, and spatial decision-making. [1] [4]

A structured academic assessment of award suitability may consider the following dimensions:

  • Research originality: development and application of geospatial and remote-sensing approaches to environmental and natural-hazard problems.
  • Publication record: peer-reviewed publications appearing in established international journals.
  • Research impact: scholarly visibility reflected in the supplied citation and h-index metrics.
  • Interdisciplinary relevance: integration of geomatics, remote sensing, machine learning, environmental assessment, and disaster-risk research.
  • Academic contribution: supervision and development of postgraduate research projects related to geomatics and natural hazards.
  • Societal relevance: application of spatial information and risk analysis to challenges involving environmental safety and territorial resilience.

These factors provide an evidence-based framework for considering Ramos Bernal for the Best Researcher Award while recognizing that final award decisions depend on the official evaluation procedures and eligibility requirements of the awarding organization.

Conclusion

Rocío Nayelly Ramos Bernal has developed a research profile centered on geomatics, remote sensing, GIS, spatial analysis, and natural-hazard assessment. Her publications demonstrate applications of geospatial and computational methods to landslide susceptibility, land-cover change, environmental risk, and seismic mapping. [1] [7]

The combination of peer-reviewed research, international collaboration, postgraduate supervision, and applied relevance provides a substantive basis for academic recognition. The Best Researcher Award profile therefore presents her work as an example of research connecting geospatial science with environmental and disaster-risk challenges in Mexico and beyond.

References

  1. Universidad Autónoma de Guerrero. Repositorio de MIIDT — Geomática research projects and postgraduate theses. UAGro.
    https://www.desa-posgradoingenieria.uagro.mx/tesis-miidt/lies/geomatica.php
  2. Ramos-Bernal, R. N., et al. Integration of Vulnerability and Hazard Factors for Landslide Risk Assessment. International Journal of Environmental Research and Public Health (2021). DOI: https://doi.org/10.3390/ijerph182211987
  3. Flores-Martínez, R., Arroyo-Matus, R., & Ramos-Bernal, R. N. (2023). Mapa de isosistas de las aceleraciones sísmicas máximas del suelo, provocadas por el sismo ocurrido el 7 de septiembre de 2021 en el estado de Guerrero. Investigación y Ciencia de la Universidad Autónoma de Aguascalientes, 90. DOI: https://doi.org/10.33064/iycuaa2023904195
  4. Arrogante-Funes, P., Novillo, C. J., Romero-Calcerrada, R., Vázquez-Jiménez, R., & Ramos-Bernal, R. N. (2018). Evaluation of the consistency of the three MRPV model parameters provided by the MISR level 2 land surface products: a case study in Mainland Spain. International Journal of Remote Sensing, 39(10), 3164–3185. DOI: https://doi.org/10.1080/01431161.2018.1433891
  5. Elsevier. Scopus author record for Rocío Nayelly Ramos-Bernal, Author ID 57193380635. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57193380635
  6. International Academic Achievements & Awards. Official Award Website.
    https://academicachievements.org/

This academic recognition profile is prepared from the supplied award information together with publicly available institutional, ORCID, and publication records. Bibliometric indicators such as citations, documents, and h-index are dynamic and may change as indexing databases are updated.

Alarcon Matos de Oliveira | Remoting Sensing | Best Researcher Award

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Prof. Dr. Alarcon Matos de Oliveira | Remoting Sensing | Best Researcher Award

Substitute Professor at State University of Bahia/Department of Exact and Earth Sciences II

Alarcon Matos De Oliveira, a distinguished Professor at Bahia State University, is a leading researcher in the field of Physical Geography. Specializing in various aspects of climatology, environmental analysis, remote sensing, geomorphology, and spatial analysis, Oliveira’s work has had a significant impact on understanding environmental phenomena, particularly in the context of Brazil. As an academic, his expertise spans environmental impact assessments, cartography, and mapping, which he integrates into teaching and research. Oliveira is also recognized for his practical contributions to the application of these fields in real-world scenarios, notably in environmental and risk analysis related to water systems.

Profile

Orcid

Education:

Dr. Oliveira holds a doctorate in Physical Geography (Geografia Física), an advanced qualification that has equipped him with both theoretical and practical knowledge in the study of the earth’s physical processes and the impacts of human activities on the environment. His academic journey reflects a deep commitment to understanding the intricate relationships between natural systems and human interventions, which is evident in his scholarly output and contributions to the academic community. His education has provided a foundation for his extensive research, especially in climatology, remote sensing, and geomorphology.

Experience:

Over the years, Dr. Oliveira has accumulated a wealth of experience both as an educator and researcher. As a professor at Bahia State University, he has been instrumental in shaping the next generation of geographers, imparting his knowledge of physical geography, environmental studies, and spatial analysis. In addition to his role in academia, Oliveira has participated in numerous research projects, focusing particularly on environmental risk assessments and the study of water systems in Brazil. His work on dam break simulations, water flow, and environmental impact assessments has contributed to the advancement of both scientific knowledge and practical solutions for managing natural hazards.

Research Interests:

Dr. Oliveira’s research interests are diverse and interdisciplinary, revolving around physical geography, environmental analysis, and climatology. A key area of his research is the use of remote sensing and GIS (Geographic Information Systems) for environmental monitoring and risk assessment. His work also delves into the impact of environmental factors on human settlements, with particular focus on geomorphology and spatial analysis. Dr. Oliveira is particularly interested in the dynamics of water systems, including the modeling of dam breaks, and the estimation of potential risks and losses in the event of such natural disasters. He is also involved in research concerning the environmental impacts of deforestation and climate change, particularly in the context of the Atlantic Forest region in Brazil.

Awards:

Throughout his academic and professional career, Dr. Oliveira has received several awards and recognitions for his contributions to the field of physical geography and environmental studies. His research excellence and impact in environmental risk analysis have earned him acknowledgment from various scientific communities, and his interdisciplinary approach continues to influence scholars and practitioners in the field. Notably, his work has been instrumental in advancing the use of simulation techniques for environmental disaster management, which has practical implications for policymaking and disaster preparedness. However, further details regarding his specific awards or nominations remain unavailable.

Publications:

Dr. Oliveira has contributed to 31 publications, reflecting his commitment to advancing knowledge in physical geography, environmental analysis, and climatology. Below are a selection of his most significant publications:

  1. Loss of Life Estimation and Risk Level Classification Due to a Dam Break (2022) – Published in Applied Sciences (DOI: applsci-15-03977), this study assessed the risk and potential loss of life in São José do Jacuípe, Bahia, through simulations of a dam break scenario. This publication highlights the application of HEC-RAS and HEC-GeoRAS software in real-world disaster risk scenarios.

  2. The Importance of Dunnian Runoff in Atlantic Forest (2025) – Published in Applied Sciences, this article examines the role of Dunnian runoff in the hydrological processes of the Atlantic Forest. It underscores the importance of understanding runoff in ecological conservation and environmental management. These publications have garnered significant attention within the academic community, with numerous citations acknowledging their contribution to advancing research in environmental and geographical studies.

Conclusion:

Dr. Alarcon Matos De Oliveira’s work exemplifies the integration of academic excellence with practical applications in the field of environmental science and physical geography. His contributions to climatology, geomorphology, and environmental risk assessment, particularly in the context of water systems and natural hazards, have made a significant impact on both the academic world and real-world environmental management. His interdisciplinary approach, combining remote sensing, spatial analysis, and environmental impact assessment, continues to influence and inspire ongoing research in these critical areas. Through his teaching, publications, and active participation in the scientific community, Dr. Oliveira remains a leading figure in the advancement of geographical and environmental sciences.

Fayera Gizawu | Remote Sensing | Best Researcher Award

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Mr. Fayera Gizawu | Remote Sensing | Best Researcher Award

Lecturer at Wollega University, Ethiopia

Fayera Gizawu Garbaba is a dedicated lecturer at Wallaga University, specializing in Geo-information Science with expertise in GIS and Remote Sensing. He holds a Bachelor’s degree in Geo-information Science and a Master’s degree in GIS and Remote Sensing. Garbaba’s work primarily focuses on leveraging geospatial technologies to address a variety of environmental and agricultural challenges in Ethiopia. His research spans areas such as agricultural drought, land-use planning, climate change mitigation, biodiversity conservation, and the management of mining-related environmental concerns.

Profile:

Scopus

Education:

Fayera Gizawu Garbaba completed his academic journey in the field of Geo-information Science. He earned his Bachelor’s degree in Geo-information Science and went on to complete a Master’s degree in GIS and Remote Sensing. His strong academic foundation and technical expertise have shaped his research interests and professional engagements, making him a significant contributor to his field. His education has been integral in developing his skills in geospatial analysis and environmental mapping, which he applies to various real-world challenges in Ethiopia.

Experience:

Fayera has built a solid foundation in his career as a lecturer at Wallaga University. He teaches various subjects related to earth sciences, GIS, and remote sensing, imparting knowledge to undergraduate and graduate students. Additionally, Garbaba is well-versed in utilizing advanced geospatial software such as ArcGIS, QGIS, ERDAS Imagine, and STATA for image processing and spatial data analysis. His experience extends to practical applications, such as groundwater potential assessment, mapping, and analyzing agricultural suitability using geospatial technologies. Garbaba’s technical skills and teaching capabilities have positioned him as an important figure in the academic and professional domains.

Research Interests:

Fayera Gizawu Garbaba’s research interests are broad, focusing on the application of geo-spatial technologies in addressing key environmental and agricultural issues. His areas of research include agricultural drought, land-use planning, and the mitigation of climate change impacts. Garbaba is particularly interested in the role of geospatial tools in enhancing biodiversity conservation, soil and water conservation, and managing mining-related environmental challenges. His work also extends to assessing forest cover and its relationship with drought in semi-arid regions. These research areas reflect his commitment to applying modern technological solutions to pressing environmental concerns in Ethiopia and beyond.

Awards:

Fayera Gizawu Garbaba’s contributions to the field of geospatial sciences have not gone unnoticed. His work in applying GIS and remote sensing to environmental and agricultural challenges has earned him recognition within his institution and the broader academic community. In 2025, Garbaba was nominated for the prestigious award at Wallaga University, which acknowledges outstanding faculty members for their research excellence and teaching contributions. This nomination reflects his ongoing commitment to advancing the field and his significant impact on both the academic community and the application of geospatial technologies in solving real-world problems.

Publications:

  1. Wolteji, B. N., & Garbaba, F. G. (2023). A Geo-spatial assessment of drought impacts on forest cover in Yabello forest, in the semi-arid region of Ethiopia. SN Applied Sciences, 5(5), 148.

  2. Garbaba, F. G., & Wolteji, B. N. (2024). Application of geospatial technology on land suitability analysis for wheat and maize farming: A case of Guder sub-watershed, NorthWest Oromia, Ethiopia. Heliyon, 10(13).

These publications reflect Garbaba’s contribution to advancing research on geospatial technology and its application in environmental and agricultural management, specifically within the Ethiopian context.

Conclusion:

Fayera Gizawu Garbaba is an accomplished academic and researcher whose work in Geo-information Science and Remote Sensing has significantly impacted the fields of environmental science and agriculture. Through his teaching and research, he has applied geospatial technologies to address critical challenges in Ethiopia, including climate change mitigation, biodiversity conservation, and sustainable agricultural practices. His technical expertise, combined with a strong academic foundation, positions him as a key figure in the integration of geospatial tools into environmental management and decision-making processes. As he continues to advance his research, Garbaba is poised to make even more contributions to the field, further enhancing the application of geospatial technologies to solve pressing environmental issues.