Challenges and Future Opportunities of Geospatial Modeling for Natural Resource Assessment

Publication Type

Book Chapter

Name of Author

• Emad H. E. Yasin, Institute of Geomatics and Civil Engineering, Faculty of Forestry, University of Sopron, Sopron, Hungary
• Kornél Czimber, Institute of Geomatics and Civil Engineering, Faculty of Forestry, University of Sopron, Sopron, Hungary
• Nasradeen A. H. Gadallah, Department of Forest Conservation and Protection, Faculty of Forestry, University of Khartoum, Khartoum North, Sudan
• Sona M. F. Mohammed, Department of Forest Conservation and Protection, Faculty of Forestry, University of Khartoum, Khartoum North, Sudan
• Yousif E. Yagoub, Department of Forest Conservation and Protection, Faculty of Forestry, University of Khartoum, Khartoum North, Sudan

Publication Date (Issue Year)

2025

Journal Name

Application of Geospatial Technology and Modelling on Natural Resources Management

Abstract

Geospatial modeling has evolved into a crucial tool for evaluating natural resources, providing essential sustainable management and conservation insights. Despite its significance, practitioners encounter challenges like data quality issues, technological constraints, and the complexity of integrating diverse data sources. This chapter delves into these challenges, highlighting recent advancements that offer potential solutions. Improved computational methods and sophisticated software address technological limitations, while innovations in remote sensing and standardized methodologies tackle data quality and integration issues. Looking ahead, the chapter explores transformative opportunities in geospatial modeling. Integrating artificial intelligence and machine learning offers powerful tools for enhancing data analysis and interpretation, enabling more accurate resource assessments. Moreover, the increasing availability of high-resolution satellite imagery and remote sensing data is broadening the scope and detail of geospatial analyses. The chapter concludes by emphasizing the need for continued innovation and interdisciplinary collaboration to fully harness the potential of geospatial modeling in natural resource assessment, setting a path for the dynamic future of geospatial modeling in environmental and resource management.

Keywords

Geospatial Modeling, Natural Resource, Assessment

Rsif Scholar Name

Nasradeen Adam Hamed Gadallah

Rsif Scholar Nationality

Sudan

Cohort

Cohort 3

Thematic Area

Climate Change

Africa Host University (AHU)

University Felix Houphouët-Boigny (U-FHB), Côte d'Ivoire

Recommended Citation

H. E. Yasin, E., Czimber, K., A. H. Gadallah, N., M. F. Mohammed, S., & E. Yagoub, Y. (2025). Challenges and Future Opportunities of Geospatial Modeling for Natural Resource Assessment. Application of Geospatial Technology and Modelling on Natural Resources Management https://doi.org/10.1007/978-3-031-84698-4_22