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EcoSpy SIGNED

Leveraging the potential of historical spy satellite photography for ecology and conservation

Total Cost €

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EC-Contrib. €

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Partnership

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Project "EcoSpy" data sheet

The following table provides information about the project.

Coordinator
HUMBOLDT-UNIVERSITAET ZU BERLIN 

Organization address
address: UNTER DEN LINDEN 6
city: BERLIN
postcode: 10117
website: www.hu-berlin.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 171˙460 €
 EC max contribution 171˙460 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-RI
 Starting year 2018
 Duration (year-month-day) from 2018-12-01   to  2020-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    HUMBOLDT-UNIVERSITAET ZU BERLIN DE (BERLIN) coordinator 171˙460.00

Map

 Project objective

Conservation planning and action critically relies on information about dynamics in ecosystems, habitats, and species’ populations in order to define baselines, set conservation targets, and to identify areas for protection and restoration activities. Following the opening of the Landsat archives, remote sensing became a key technology for providing information to conservation, but many world regions experienced widespread changes in habitats and species populations prior to the Landsat history (1980s). In EcoSpy we propose to pioneer the broad-scale use of recently declassified historical, global, high-resolution spy satellite photographs from the Cold War era (Corona) to extend the temporal scale of ecological and conservation remote sensing studies as far back as the 1960s. We will integrate Corona with Landsat and GoogleEarth Images in three proof-of-concept studies to test the usability of Corona for conservation research and applications. We will assess changes in (1) ecosystems of conservation concern, by identifying long-undisturbed forests and their fragmentation in Romania, (2) endangered species habitats, by analyzing saiga antelope habitat in Kazakhstan, and (3) keystone species’ population dynamics, by analyzing population density of steppe marmots in Kazakhstan. Additionally, we will carry out a synthesis study on uses and benefits of Corona imagery for ecology and conservation worldwide. EcoSpy is deeply interdisciplinary, located at the intersection of ecology, conservation science and remote sensing. Scientifically, EcoSpy will enhance the long-term understanding of ecological processes such as fragmentation, range shifts and population dynamics, and will extend availability of high resolution remotely sensed data by two decades prior to Landsat. EcoSpy will inform conservation action such as identifying priority conservation areas and defining conservation baselines for vulnerable habitats and species, advancing conservation and ecology worldwide.

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The information about "ECOSPY" are provided by the European Opendata Portal: CORDIS opendata.

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