Pacifique Madibi | Remote Sensing | Innovative Research Award

Innovative Research Award

Pacifique Madibi
Clark University, United States

Pacifique Madibi
Affiliation Clark University
Country United States
Google Scholar ID ZLbnlJ0AAAAJ
Documents 5
Citations 10
h-index 2
Subject Area Remote Sensing
Event Global Innovation Technologist Awards
ORCID 0009-0001-1081-6631

Pacifique Madibi is a researcher affiliated with Clark University whose scholarly work is situated in remote sensing, geographic information systems (GIS), land-cover mapping, and tropical forest environmental monitoring. The available publication record demonstrates an applied research orientation toward using Earth-observation data to examine land-use dynamics and environmental change in the Democratic Republic of the Congo (DRC). [1]

Abstract

The research profile of Pacifique Madibi reflects the application of remote sensing and GIS techniques to environmental and land-use questions in tropical landscapes. His publications address forest dynamics, mangrove conservation, agricultural land detection, and methods for distinguishing human-induced land changes. These studies employ satellite imagery and spatial analysis to support evidence-based understanding of landscape transformation. [2] [3]

Keywords

Remote sensing; geographic information systems; GIS; land-cover dynamics; tropical forests; mangroves; Landsat; environmental monitoring; land-use change; spatial analysis.

Introduction

Remote sensing provides repeatable observations for monitoring landscapes across large geographic areas, while GIS enables the integration, classification, and spatial interpretation of environmental information. Madibi’s research applies these approaches to geographically and ecologically important regions of the DRC, where agricultural expansion, urban growth, mining, and other pressures can alter forest and coastal ecosystems. [4]

Research Profile

The documented profile comprises five research documents, ten citations, and an h-index of two. The principal subject area is Remote Sensing, with closely related work in GIS, forest ecology, land-cover classification, and environmental change detection. The research is characterized by geographically focused case studies and the use of satellite-derived information for environmental assessment.

Research Contributions

  • Development of GIS approaches for distinguishing agricultural and mining-related land changes in protected tropical forest areas. [1]
  • Mapping and temporal assessment of mangrove land-cover dynamics in the Moanda Mangrove Marine Park. [2]
  • Application of Landsat imagery for automated detection and mapping of shaded cocoa fields in tropical forest environments. [3]
  • Assessment of demographic growth and urban expansion in relation to forest dynamics around Kikwit. [4]

Publications

GIS Methods to Distinguish Between Land Changes from Smallholder Agriculture and Mining in a Time Series for a Tropical Protected Area Forest, Land, published September 2, 2026. [1]

Mapping the land cover dynamics of the Moanda Mangrove Marine Park in Central Kongo Province, DRC from 2002 to 2020, Pirineos, December 30, 2024. [2]

Détection automatique et cartographie des champs de cacaoyers sous-ombrage en zone forestière tropicale à l’aide d’images Landsat dans la Province de l’Ituri en République Démocratique du Congo, Revue africaine d’environnement et de d’agriculture, March 11, 2022. [3]

Research Impact

The research contributes to environmental monitoring by demonstrating how remotely sensed imagery and GIS can support the identification and interpretation of landscape change. Its geographic emphasis on the DRC provides context-specific evidence relevant to forest conservation, agricultural monitoring, mangrove management, and land-use planning. The documented citation count is ten, with an h-index of two, indicating an emerging research impact profile.

Award Suitability

The Innovative Research Award category is academically relevant to Madibi’s profile because the documented studies apply geospatial technologies to practical environmental research problems. In particular, the integration of satellite imagery, temporal land-cover analysis, and GIS-based differentiation of land-use processes represents a coherent methodological theme. [1] [2]

Conclusion

Pacifique Madibi’s documented research profile centers on remote sensing and GIS applications for environmental and land-use assessment. His publications collectively demonstrate sustained attention to tropical forest, mangrove, agricultural, and urban landscape dynamics. These contributions provide a suitable scholarly basis for consideration under an innovative research recognition framework.

References

  1. Madibi, P. (2026). GIS Methods to Distinguish Between Land Changes from Smallholder Agriculture and Mining in a Time Series for a Tropical Protected Area Forest. Land, 15(9), 1630.
    https://doi.org/10.3390/land15091630
  2. Madibi, P. (2024). Mapping the land cover dynamics of the Moanda Mangrove Marine Park in Central Kongo Province, DRC from 2002 to 2020. Pirineos.
    https://doi.org/10.3989/pirineos.2024.179.346
  3. Madibi, P. (2022). Détection automatique et cartographie des champs de cacaoyers sous-ombrage en zone forestière tropicale à l’aide d’images Landsat dans la Province de l’Ituri en République Démocratique du Congo. Revue africaine d’environnement et de d’agriculture.
    https://www.rafea-congo.com/?pages=article&id=162
  4. Madibi, P. (2021). Impact de la croissance démographique et de l’expansion urbaine sur la dynamique forestière des zones environnantes de la ville de Kikwit en République Démocratique du Congo. Revue Africaine d’Environnement et d’Agriculture.
    Research publication record
  5. ORCID. (n.d.). Pacifique Madibi, ORCID record.
    https://orcid.org/0009-0001-1081-6631
  6. Global Innovation Technologist Awards. (n.d.). Official award website.
    innovationtechnologist.com

Sebahattin Bektas | Geodesy | Best Researcher Award

Prof. Dr. Sebahattin Bektas | Geodesy | Best Researcher Award

Professor Doctor at Ondokuz Mayis University | Turkey

Prof. Dr. Sebahattin Bektas is a distinguished researcher in the field of Geodesy within the Department of Geomatics Engineering at Ondokuz Mayis University (OMU), Turkey. His academic and scientific contributions have significantly advanced the understanding and application of geodetic sciences. With a strong foundation in geomatics, he has focused his research on key areas such as geodesy, surface fitting, 3D coordinate transformation, optimization, and adjustment techniques. His expertise also extends to the enhancement of engineering education through innovative teaching and research methodologies. Prof. Bektas has played a vital role in bridging theoretical geodetic principles with practical applications, particularly in the development of precise three-dimensional modeling and transformation systems. His work in 3D network adjustment has contributed to improving the accuracy and reliability of spatial data analysis and geospatial modeling, which are crucial for modern engineering and mapping projects. He is known for his analytical approach to problem-solving, incorporating mathematical precision with practical insights to address complex geospatial challenges. In addition to his research excellence, Prof. Bektas is recognized for his dedication to mentoring students and fostering academic growth in the field of geomatics engineering. His scholarly output reflects a commitment to advancing scientific knowledge, developing innovative methodologies, and contributing to the global discourse on geodesy and spatial data analysis. Prof. Dr. Sebahattin Bektas remains a respected figure in his discipline, inspiring both research and educational excellence in geospatial sciences.

Profile: Orcid

Featured Publications

Ioannidou, S., Pantazis, G., & Bektaş, S. (2024). Helmert transformation problem: From Euler angles method to quaternion algebra. ISPRS International Journal of Geo-Information, 13(10), 359.