AI, Remote Sensing, and Blockchain for Cutting-Edge Sustainable Development Studies in UAE

Authors

  • Mounir El Khatib Hamdan bin Mohamad Smart University
  • Issa Gholam Alblooshi

DOI:

https://doi.org/10.54489/j7bpaj73

Keywords:

Sustainable Development, Environmental Technology, Artificial Intelligence in Ecology, UAE Environmental Studies, Blockchain, Sustainability

Abstract

Environmental studies in the United Arab Emirates (UAE) have become increasingly critical as the nation strives to balance rapid economic development with sustainable environmental practices. This study explores innovative approaches to environmental studies within the UAE, focusing on leveraging advanced technologies and interdisciplinary methodologies to address pressing environmental challenges. The primary objective is to identify and evaluate novel strategies that can enhance environmental conservation, resource management, and sustainable development in the region.

The study begins by examining the current state of environmental issues in the UAE, including water scarcity, air pollution, and biodiversity loss (Saif et al., 2020). It then delves into the role of innovative technologies such as artificial intelligence (AI), remote sensing, and blockchain in environmental monitoring and management (Al-Kodmany, 2018). By integrating AI with big data analytics, the study aims to develop predictive models for environmental impact assessments and resource optimization (Zhou et al., 2019). Remote sensing technologies will be explored for their potential in monitoring land use changes, vegetation health, and marine ecosystems (Xue & Su, 2017).

Additionally, the study investigates the implementation of blockchain for enhancing transparency and traceability in sustainable supply chains (Saberi et al., 2019). It also emphasizes the importance of interdisciplinary collaboration, combining insights from environmental science, engineering, policy-making, and social sciences to create holistic and effective solutions (Berkes, 2017).

Through case studies and pilot projects, the research will highlight successful applications of these innovative approaches in the UAE and other similar contexts. The study aims to provide actionable recommendations for policymakers, researchers, and practitioners to foster sustainable environmental practices. Ultimately, this research aspires to contribute to the UAE's vision of a sustainable future by promoting cutting-edge environmental studies that align with the nation's economic and ecological goals.

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Published

2025-10-09

How to Cite

AI, Remote Sensing, and Blockchain for Cutting-Edge Sustainable Development Studies in UAE. (2025). International Journal of Theory of Organization and Practice (IJTOP), 5(1), 219-235. https://doi.org/10.54489/j7bpaj73

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