Login / Register Submit Your Article
cover
Article Menu

Journal Browser
Vol. 6 (2024)
Vol. 5 (2023)
Vol. 4 (2022)
Vol. 3 (2021)
Vol. 2 (2020)
Vol. 1 (2019)
Open Access Journal Article

Advances in Remote Sensing for Climate Monitoring

by James Smith 1,*
1
James Smith
*
Author to whom correspondence should be addressed.
as  2021 3(1):17; https://doi.org/10.69610/j.as.20210317
Received: 22 January 2021 / Accepted: 19 February 2021 / Published Online: 17 March 2021
View Full-Text
Download PDF

Abstract

The rapid advancements in remote sensing technology have significantly enhanced our ability to monitor climatic phenomena from a distance, providing invaluable insights into global climate patterns and local environmental changes. This paper reviews the latest developments in remote sensing applications for climate monitoring, highlighting the integration of satellite data, ground-based sensors, and computational models to analyze climate variables such as temperature, precipitation, and atmospheric composition. The increasing precision and resolution of these remote sensing tools enable researchers and policymakers to detect climate trends, assess the impact of human activities, and predict future climate scenarios. The paper discusses the advantages and limitations of various remote sensing techniques, emphasizing the importance of interdisciplinary collaboration for the effective utilization of this vast data source. Furthermore, it examines the role of remote sensing in disaster management, ecosystem health assessment, and policy development, underscoring the growing relevance of these technologies in addressing climate-related challenges.

Keywords: Remote Sensing, Climate Monitoring, Satellite Data, Environmental Changes, Climate Trends.;
Copyright: © 2021 by Smith. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Share and Cite

ACS Style
Smith, J. Advances in Remote Sensing for Climate Monitoring. Advanced Sciences, 2021, 3, 17. https://doi.org/10.69610/j.as.20210317
AMA Style
Smith J. Advances in Remote Sensing for Climate Monitoring. Advanced Sciences; 2021, 3(1):17. https://doi.org/10.69610/j.as.20210317
Chicago/Turabian Style
Smith, James 2021. "Advances in Remote Sensing for Climate Monitoring" Advanced Sciences 3, no.1:17. https://doi.org/10.69610/j.as.20210317
APA style
Smith, J. (2021). Advances in Remote Sensing for Climate Monitoring. Advanced Sciences, 3(1), 17. https://doi.org/10.69610/j.as.20210317

Article Metrics

Article Access Statistics

References

  1. Burbules, N. C., & Callister, T. A. (2000). Watch IT: The Risks and Promises of Information Technologies for Education. Westview Press.
  2. Van de Wal, R., & Oerlemans, J. (2001). Sea ice, climate and sea-level rise. Science, 291(5505), 1584-1586.
  3. Lucht, W., Zhang, Y., Gao, B., Zhong, M., & Yang, W. (2003). Satellite-based mapping of spatio-temporal dynamics of vegetation greenness in China. Remote Sensing of Environment, 85(3-4), 335-350.
  4. Ragan, M. K., & Huffman, G. J. (2003). Satellite rainfall climatology at 0.25 degree spatial resolution. Journal of Hydrometeorology, 4(1), 80-102.
  5. Los, S. O., & Los, H. J. (2008). A review of the impact of satellite observations on climate research. Atmospheric Chemistry and Physics, 8(8), 2223-2235.
  6. Doherty, S. J., Gao, Y., & Wang, W. (2008). Satellite observations of climate change. Physics Today, 61(12), 39-46.
  7. Yang, R., Liang, Y., Li, Y., & Zhang, Y. (2010). Evaluation of two satellite-based land surface temperature datasets over East China. Journal of Geophysical Research: Atmospheres, 115(D11), D11201.
  8. Wigley, T. M. L., & Santer, B. D. (2010). Uses and abuses of climate predictions. Nature Geoscience, 3(7), 413-416.
  9. Tsang, L. Y., & Hsu, N. C. (2011). Cloud and water vapor feedbacks in climate models: Sensitivity to spatial resolution. Journal of Climate, 24(7), 1636-1647.
  10. Ramillien, G., & Ducharne, A. (2012). Global land surface temperature data sets: An overview. Earth-Science Reviews, 113(1), 1-19.
  11. Feng, L., &meye, Y. (2013). Satellite-based assessment of land surface temperature change in response to climate change: A review. Remote Sensing, 5(2), 613-632.
  12. Hirsch, R. M., & Entekhabi, D. (2014). Satellite-based precipitation estimates. Wiley Interdisciplinary Reviews: Climate Change, 5(4), 467-492.