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

Zhong-Han Zhuang | Remote Sensing | Best Researcher Award

Mr. Zhong-Han Zhuang | Remote Sensing | Best Researcher Award

Ph.D. Student at National Chung Hsing University, Taiwan

Zhong Han Zhuang is a Ph.D. candidate in Civil Engineering at National Chung Hsing University, Taiwan. His expertise lies in the application of advanced technologies like remote sensing, unmanned aerial vehicles (UAVs), and machine learning for agricultural and environmental monitoring. His research has been widely recognized, focusing on crop physiological monitoring and tea growth assessment using multispectral imaging and artificial intelligence.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Civil Engineering (2020–Present)
    National Chung Hsing University, Taiwan
    Focus: Remote sensing and UAV-based crop monitoring.
  • Bachelor of Fine Arts in Civil Engineering (2016–2020)
    National Chung Hsing University, Taiwan.

Professional Experience 💼

  • Ph.D. Researcher (2020–Present)
    Conducting innovative research integrating UAV multispectral imaging with crop physiological indices to assess tea growth in subtropical regions.
  • Conference Presenter and Author
    Presented findings on remote sensing, machine learning, and crop monitoring at numerous international and regional conferences, such as the International Symposium on Remote Sensing 2024 and the Asian Conference on Remote Sensing 2023.

Research Interests 🔬

  • Remote sensing and UAV-based crop monitoring.
  • Deep learning and machine learning for agricultural analysis.
  • Multispectral imaging for assessing crop growth and health.
  • Monitoring land use and land cover changes (LULCC).
  • Tea crop physiology and sustainable agricultural practices.

Awards and Honors

  • High Impact Publications
    Authored influential papers published in leading journals, such as Smart Agricultural Technology and Journal of Photogrammetry and Remote Sensing, with significant impact factors (6.3 and 12.7, respectively).
  • International Conference Participation
    Recognized for presentations at prestigious events like the EGU General Assembly and the International Symposium on Remote Sensing.

Conclusion

Zhong Han Zhuang exemplifies a new generation of researchers leveraging cutting-edge technology to address pressing agricultural and environmental challenges. His work on tea growth monitoring using UAV multispectral imaging not only advances the field of precision agriculture but also contributes to sustainable farming practices in Taiwan and beyond. As he progresses in his academic journey, his interdisciplinary expertise positions him as a key contributor to the future of agricultural innovation.

Publications 📚

  • 🌱 Zhuang, Z. H., Tsai, H. P., Chen, C. I., & Yang, M. D. (2024).
    Subtropical region tea tree LAI estimation integrating vegetation indices and texture features derived from UAV multispectral images.
    📖 Journal: Smart Agricultural Technology
    📊 Impact Factor: 6.3 | Indexed in: ESCI
    🔗 DOI: 100650


  • 🌱 Zhuang, Z. H., Chen, C. I., & Tsai, H. P. (2022).
    Combining Crop Physiological Measurements and Unmanned Aerial Vehicle (UAV) Multispectral Images in Tea Tree Growth Assessment.
    📖 Journal: Journal of Photogrammetry and Remote Sensing (in Mandarin)
    📊 Impact Factor: 12.7 | Indexed in: SCIE


  • 🌳 Tsai, H. P., Wang, G. G., & Zhuang, Z. H. (2021).
    Vertical Differences in the Long-Term Trends and Breakpoints of NDVI and Climate Factors in Taiwan.
    📖 Journal: Remote Sensing
    📊 Impact Factor: 5.349 | Indexed in: SCIE