Best Researcher Award
Rocío Nayelly Ramos Bernal
Autonomous University of Guerrero (UAGro), Mexico
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.
External Links
References
- 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
- 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
- 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
- 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
- Elsevier. Scopus author record for Rocío Nayelly Ramos-Bernal, Author ID 57193380635. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57193380635
- 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.