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ISSN: 2157-7617

Journal of Earth Science & Climatic Change
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  • Editorial   
  • J Earth Sci Clim Change 2024, Vol 15(11): 11
  • DOI: 10.4172/2157-7617.1000853

Assessing Biodiversity Risks in Changing Climates Through Remote Sensing

Oliver Johnson*
Department of Earth Sciences, University of Cambridge, United Kingdom
*Corresponding Author : Oliver Johnson, Department of Earth Sciences, University of Cambridge, United Kingdom, Email: oliver.johnson@cam.ac.uk

Received Date: Nov 02, 2024 / Published Date: Nov 30, 2024

Abstract

The impacts of climate change on biodiversity are increasingly evident, with altered temperature and precipitation patterns affecting ecosystems worldwide. As species struggle to adapt to shifting environmental conditions, the risk to biodiversity escalates, threatening ecosystem services and human livelihoods. Remote sensing technology offers a powerful tool for monitoring and assessing the impacts of climate change on biodiversity, providing high-resolution spatial data that can reveal patterns of habitat loss, species migration, and ecosystem degradation. This study explores the use of remote sensing techniques to assess biodiversity risks in changing climates, focusing on the detection of habitat change, the monitoring of species distribution, and the identification of key stressors affecting biodiversity. By integrating remote sensing data with climate models and biodiversity metrics, this study demonstrates the utility of these technologies in identifying areas of high conservation priority and informing effective biodiversity management strategies. The results highlight the potential of remote sensing in enhancing biodiversity monitoring and supporting climate adaptation efforts.

Citation: Oliver J (2024) Assessing Biodiversity Risks in Changing Climates through Remote Sensing. J Earth Sci Clim Change, 15: 853. Doi: 10.4172/2157-7617.1000853

Copyright: 漏 2024 Oliver J. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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