The Green Edge of Advanced Technology Drives Sustainable Environmental and Business Growth

Authors

  • Monir Ahmad Meahrayen Three Gorges University, Yichang City, China

Keywords:

Monitoring and Sustainability, Remote sensing, Climate Change, Decision making

Abstract

Remote sensing technology has emerged as a vital tool for monitoring and sustainably managing the environment. This paper reviews recent advances in remote sensing and their applications for environmental sustainability. A comprehensive literature review was conducted focusing on high-resolution analysis, temporal change detection, and hyper-spectral monitoring. Applications highlighted include detailed urban habitat mapping, assessing shoreline erosion, tracking forest disturbances, monitoring crop health, detecting pollution, and mapping coral reef degradation. The results showcase the quantitative insights remote sensing provides across diverse sustainability issues like climate change, urban planning, conservation, and disaster response. The paper emphasizes how ongoing improvements in remote sensing are enhancing environmental modelling capabilities and information availability, playing a key role in evidence-based decision-making for sustainable resource management.

References

Acharya, T.D. and Lee, D.H., 2019. Remote Sensing and Geospatial Technologies for Sustainable Development: A Review of Applications. Sensors & Materials, 31.

Avtar, R., Komolafe, A.A., Kouser, A., Singh, D., Yunus, A.P., Dou, J., Kumar, P., Gupta, R.D., Johnson, B.A., Minh, H.V.T. and Aggarwal, A.K., 2020. Assessing sustainable development prospects through remote sensing: A review. Remote sensing applications: Society and environment, 20, p.100402.

Asif, D. M., & Shaheen, A. (2022). Creating a High-Performance Workplace by the determination of Importance of Job Satisfaction, Employee Engagement, and Leadership. Journal of Business Insight and Innovation1(2), 9–15. https://doi.org/10.9876/jbii.v1i2.10

Asif, M., Pasha, M. A., Mumtaz, A., & Sabir, B. (2023). Causes of Youth Unemployment in Pakistan. Inverge Journal of Social Sciences2(1), 41-50.

Bibri, S. E., & Bibri, S. E. (2018). Data science for urban sustainability: Data mining and data-analytic thinking in the next wave of city analytics. Smart Sustainable Cities of the Future: The Untapped Potential of Big Data Analytics and Context–Aware Computing for Advancing Sustainability, 189-246.

Bibri, S. E., & Krogstie, J. (2017). The core enabling technologies of big data analytics and context-aware computing for smart sustainable cities: a review and synthesis. Journal of Big Data4, 1-50.

Estoque, R.C., 2020. A review of the sustainability concept and the state of SDG monitoring using remote sensing. Remote Sensing, 12(11), p.1770.

Franklin, S.E., 2001. Remote sensing for sustainable forest management. CRC press.

Kour, R., Singh, S., Sharma, H.B., Naik, T.S.S.K., Shehata, N., Pavithra, N., Ali, W., Kapoor, D., Dhanjal, D.S., Singh, J. and Khan, A.H., 2023. Persistence and remote sensing of agri-food wastes in the environment: Current state and perspectives. Chemosphere, p.137822.

Kouziokas, G.N. and Perakis, K., 2017. Decision support system based on artificial intelligence, GIS and remote sensing for sustainable public and judicial management. European Journal of Sustainable Development, 6(3), pp.397-397.

Lai, Y. (2022). Urban Intelligence for Carbon Neutral Cities: Creating Synergy among Data, Analytics, and Climate Actions. Sustainability14(12), 7286.

Li, F., Yigitcanlar, T., Nepal, M., Nguyen, K., & Dur, F. (2023). Machine Learning and Remote Sensing Integration for Leveraging Urban Sustainability: A Review and Framework. Sustainable Cities and Society, 104653.

Li, J., Pei, Y., Zhao, S., Xiao, R., Sang, X. and Zhang, C., 2020. A review of remote sensing for environmental monitoring in China. Remote Sensing, 12(7), p.1130.

Liang, A., Yan, D., Yan, J., Lu, Y., Wang, X. and Wu, W., 2023. A Comprehensive Assessment of Sustainable Development of Urbanization in Hainan Island Using Remote Sensing Products and Statistical Data. Sustainability15(2), p.979.

Liang, A., Yan, D., Yan, J., Lu, Y., Wang, X., & Wu, W. (2023). A Comprehensive Assessment of Sustainable Development of Urbanization in Hainan Island Using Remote Sensing Products and Statistical Data. Sustainability15(2), 979.

Pande, C. B., & Moharir, K. N. (2023). Application of hyperspectral remote sensing role in precision farming and sustainable agriculture under climate change: A review. Climate Change Impacts on Natural Resources, Ecosystems and Agricultural Systems, 503-520.

Prince, S.D., 2019. Challenges for remote sensing of the Sustainable Development Goal SDG 15.3.1 productivity indicator. Remote Sensing of Environment, 234, p.111428.

Rochon, G.L., Johannsen, C.J., Landgrebe, D.A., Engel, B.A., Harbor, J.M., Majumder, S. and Biehl, L.L., 2004. Remote sensing as a tool for achieving and monitoring progress toward sustainability. Technological choices for sustainability, pp.415-428.

Seyam, M. M. H., Haque, M. R., & Rahman, M. M. (2023). Identifying the land use land cover (LULC) changes using remote sensing and GIS approach: A case study at Bhaluka in Mymensingh, Bangladesh. Case Studies in Chemical and Environmental Engineering7, 100293.

Tékouabou, S. C., Chenal, J., Azmi, R., Toulni, H., Diop, E. B., & Nikiforova, A. (2022). Identifying and Classifying Urban Data Sources for Machine Learning-Based Sustainable Urban Planning and Decision Support Systems Development. Data7(12), 170.

West, H., Quinn, N., & Horswell, M. (2019). Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities. Remote Sensing of Environment232, 111291.

White, J. C., Coops, N. C., Wulder, M. A., Vastaranta, M., Hilker, T., & Tompalski, P. (2016). Remote sensing technologies for enhancing forest inventories: A review. Canadian Journal of Remote Sensing42(5), 619-641.

Xiuwan, C., 2002. Using remote sensing and GIS to analyse land cover change and its impacts on regional sustainable development. International journal of remote sensing, 23(1), pp.107-124.

Yang, X.X. ed., 2021. Urban remote sensing: monitoring, synthesis and modeling in the urban environment. John Wiley & Sons.

Zhu, L., Suomalainen, J., Liu, J., Hyyppä, J., Kaartinen, H., & Haggren, H. (2018). A review: Remote sensing sensors. Multi-purposeful application of geospatial data, 19-42.

Published

31-12-2023

How to Cite

Meahrayen, M. A. (2023). The Green Edge of Advanced Technology Drives Sustainable Environmental and Business Growth. Inverge Journal of Social Sciences, 2(4), 33–41. Retrieved from https://invergejournals.com/index.php/ijss/article/view/68

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