The potential of historical spy-satellite imagery to support research in ecology and conservation

Author:

Munteanu Catalina12ORCID,Kraemer Benjamin M3ORCID,Hansen Henry H4ORCID,Miguel Sofia5,Milner-Gulland E J6ORCID,Nita Mihai7ORCID,Ogashawara Igor8ORCID,Radeloff Volker C9ORCID,Roverelli Simone1,Shumilova Oleksandra O10ORCID,Storch Ilse11ORCID,Kuemmerle Tobias12ORCID

Affiliation:

1. Wildlife Ecology and Management, University of Freiburg , Freiburg, Germany

2. Geography Department at Humboldt University of Berlin , Berlin, Germany

3. Environmental Hydrological Systems at the University of Freiburg , Freiburg, Germany

4. Technology Department of Environmental and Life Sciences Biology at Karlstad University , Karlstad, Sweden

5. Departamento de Geología, Geografía, y Medio Ambiente, Environmental Remote Sensing Research Group, Universidad de Alcalá , Alcalá de Henares, Spain

6. Department of Biology at the University of Oxford , Oxford, England, United Kingdom

7. Department of Forest Engineering, in the Faculty of Silviculture and Forest Engineering, Transilvania University of Brasov , Brasov, Romania

8. Leibniz Institute of Freshwater Ecology and Inland Fisheries , Berlin , Germany

9. SILVIS Lab, in the Department of Forest and Wildlife Ecology at the University of Wisconsin–Madison , Madison, Wisconsin, United States

10. Leibniz Institut of Freshwater Ecology and Inland Fisheries , Berlin , Germany

11. Wildlife Ecology and Managementm University of Freiburg , Freiburg, Germany

12. Geography Department and the Integrative Research Institute on Transformations of Human–Environment Systems, Humboldt University of Berlin , Berlin, Germany

Abstract

Abstract Remote sensing data are important for assessing ecological change, but their value is often restricted by their limited temporal coverage. Major historical events that affected the environment, such as those associated with colonial history, World War II, or the Green Revolution are not captured by modern remote sensing. In the present article, we highlight the potential of globally available black-and-white satellite photographs to expand ecological and conservation assessments back to the 1960s and to illuminate ecological concepts such as shifting baselines, time-lag responses, and legacy effects. This historical satellite photography can be used to monitor ecosystem extent and structure, species’ populations and habitats, and human pressures on the environment. Even though the data were declassified decades ago, their use in ecology and conservation remains limited. But recent advances in image processing and analysis can now unlock this research resource. We encourage the use of this opportunity to address important ecological and conservation questions.

Funder

European Commission

National Aeronautics and Space Administration

European Research Council

Horizon 2020 Framework Programme

Publisher

Oxford University Press (OUP)

Reference82 articles.

1. Learning and recognizing archeological features from LiDAR data;Albrecht,2019

2. Digital surface model generation from CORONA satellite images;Altmaier;ISPRS Journal of Photogrammetry and Remote,2002

3. The impacts of warfare and armed conflict on land systems;Baumann;Journal of Land Use Science,2016

4. Population decline assessment, historical baselines, and conservation;Bonebrake;Conservation Letters,2010

5. Coca and colonists;Bradley;Ecology and Society,2008

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3