The role of remote sensing and GIS to support grassland identification. case study: East Sumba Regency, East Nusa Tenggara Province, Indonesia

Watuwaya, B. K.; Syamsu, Jasmal A.; Budiman, .; Useng, Daniel

doi:10.1063/5.0144198

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…The application of Geographic Information Systems (GIS) for planning and land use analysis is essential, aiding in making informed urban planning decisions that consider social, economic, and environmental impacts (GIS) (Taiema and Ramadan, 2021;Mishra, 2023). GIS-based analysis has proven invaluable in mapping and analyzing land use suitability for different uses, determining ecological habitats, assessing geological and agricultural suitability, and evaluating landscapes for planning and services (Abdullahi et al, 2015;AbdelRahman et al, 2016;González-Méndez et al, 2021;Ramadan M. S. et al, 2022;Hakam et al, 2023;Lötz, 2023;Rana and Moniruzzaman, 2023;Watuwaya et al, 2023). This research uses Remote Sensing technology and GIS to explore development opportunities in the Southwestern NEOM region in Saudi Arabia, identifying ideal locations for urban development by considering many parameters such as Land Use-Land Cover, Slope, Faults, High order stream, Geologic map, Quarries, Power supply, Water Supply, Industrial areas, Incinerators, Tourist sites, and Roads.…”

Section: Introductionmentioning

confidence: 99%

Geospatial modeling of optimal zones for sustainable urbanization in southwestern NEOM, Saudi Arabia using geomatics techniques

Alogayell,

Kamal,

Alkadi

et al. 2024

Front. Built Environ.

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Our study meticulously pursued its objectives through a strategic data-gathering approach and a thorough analytical evaluation. In the data collection phase, we undertook an exhaustive accumulation of geographical and environmental information, utilizing high-resolution satellite images and diverse thematic maps. We employed GIS-based models and the Analytical Hierarchy Process (AHP) to effectively determine the most suitable areas for urban development. These models pinpointed zones along the coastal areas and nearby plains, spanning 198.89 square kilometers or 8.25% of the total study area, as highly appropriate for development due to their potential for desalination and tourism, and proximity to vital infrastructure such as the forthcoming NEOM airport and high-speed railway connections. The findings from the Southwestern NEOM model corroborate with NEOM’s strategic goals, especially validating the chosen location for The Line. This location is considered ideal due to its accessibility, terrain suitability, and capability to incorporate renewable energy and sustainable water management, thereby supporting the strategic aims and placement of the initiative. This not only highlights the strategic positioning of these areas but also aligns with the Saudi Vision 2030, fostering economic diversification and sustainable development. Together, these actions have established a comprehensive framework for urban planning that respects environmental conservation and promotes sustainable development objectives. By incorporating socio-economic and cultural factors, our research offers a well-rounded approach to urban development, ensuring that new infrastructure is both environmentally considerate and strategically situated to promote enduring growth and community wellbeing in Southwestern NEOM.

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Section: Introductionmentioning

confidence: 99%

Geospatial modeling of optimal zones for sustainable urbanization in southwestern NEOM, Saudi Arabia using geomatics techniques

Alogayell,

Kamal,

Alkadi

et al. 2024

Front. Built Environ.

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Exploring Different Machine Learning Algorithms for Evaluating Illegal Small-Scale Mining (Galamsey) Impacts on Vegetation: A Comparative Analysis in Ghana's High Forest Zone

Kwang,

Afele

2024

Preprint

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Spatial modeling of land resources and constraints to guide urban development in Saudi Arabia’s NEOM region using geomatics techniques

Alogayell,

Kamal,

Alkadi

et al. 2024

Front. Sustain. Cities

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This research presents a GIS-based approach to evaluate land suitability for the urbanization of Saudi Arabia’s NEOM region, an ambitious initiative for sustainable development within a desert setting. By employing a multi-criteria decision-making framework, we have synthesized data on land resources, stability, accessibility, construction costs, and proximity to conservation areas using the Analytical Hierarchy Process (AHP) to prioritize these factors based on their importance for sustainable growth. Our analysis reveals that areas designated with grid values of 9 and 8, totaling 6312.33 square kilometers or 28.23% of the area studied, are most favorable for urban development. These sectors span the northern, central, and southern parts of NEOM, which are notable for their strategic location near future infrastructure and natural assets conducive to sustainable practices. This finding supports NEOM’s key initiatives such as “The Line,” “Oxagon,” and “TROJENA,” showcasing the model’s utility in directing urban development strategies. The study discusses the broader socio-economic and environmental ramifications of pinpointing areas suited and unsuited for development, underlining the model’s role in facilitating decision-making that aligns urban expansion with environmental stewardship. Furthermore, it advocates for leveraging development-restricted zones in conservation efforts and renewable energy ventures. Nevertheless, the study concedes certain limitations, such as the dependence on static datasets and inherent challenges related to the AHP method, including the presumption of criteria independence. Future research avenues are proposed, emphasizing the integration of dynamic data sources, comprehensive socio-cultural impact evaluations, and adopting flexible urban planning methodologies to refine the model’s precision and practicality. Overall, this detailed examination showcases NEOM’s blueprint as an exemplar for future urban environments, illustrating a systematic strategy for developing desert regions that integrate innovation, ecological sustainability, and the preservation of cultural heritage.

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The role of remote sensing and GIS to support grassland identification. case study: East Sumba Regency, East Nusa Tenggara Province, Indonesia

Cited by 3 publications

References 11 publications

Geospatial modeling of optimal zones for sustainable urbanization in southwestern NEOM, Saudi Arabia using geomatics techniques

Geospatial modeling of optimal zones for sustainable urbanization in southwestern NEOM, Saudi Arabia using geomatics techniques

Exploring Different Machine Learning Algorithms for Evaluating Illegal Small-Scale Mining (Galamsey) Impacts on Vegetation: A Comparative Analysis in Ghana's High Forest Zone

Spatial modeling of land resources and constraints to guide urban development in Saudi Arabia’s NEOM region using geomatics techniques

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